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| galar map high resolution: Pokémon Sword & Pokémon Shield: The Official Galar Region Pokédex The Pokémon Company International, 2020-01-07 Pokémon Sword & Pokémon Shield: The Official Galar Region Pokédex has details on the Pokémon you can encounter and catch in the Galar region. With entries spanning from your first partner Pokémon to mysterious and powerful Legendary Pokémon, you’ll discover what you need to know to build the team that’s right for you—where to find elusive Pokémon, the moves they can use, how to evolve them, and more. You’ll be prepared for whatever challenges you face! Here’s what you’ll find inside: Detailed info on the Pokémon you can find in Galar Lists of moves, items, and more—including how you might get them! Information on Gigantamax Pokémon! |
| galar map high resolution: Robots, Drones, UAVs and UGVs for Operation and Maintenance Diego Galar, Uday Kumar, Dammika Seneviratne, 2020-05-07 Industrial assets (such as railway lines, roads, pipelines) are usually huge, span long distances, and can be divided into clusters or segments that provide different levels of functionality subject to different loads, degradations and environmental conditions, and their efficient management is necessary. The aim of the book is to give comprehensive understanding about the use of autonomous vehicles (context of robotics) for the utilization of inspection and maintenance activities in industrial asset management in different accessibility and hazard levels. The usability of deploying inspection vehicles in an autonomous manner is explained with the emphasis on integrating the total process. Key Features Aims for solutions for maintenance and inspection problems provided by robotics, drones, unmanned air vehicles and unmanned ground vehicles Discusses integration of autonomous vehicles for inspection and maintenance of industrial assets Covers the industrial approach to inspection needs and presents what is needed from the infrastructure end Presents the requirements for robot designers to design an autonomous inspection and maintenance system Includes practical case studies from industries |
| galar map high resolution: Index Medicus , 2004 Vols. for 1963- include as pt. 2 of the Jan. issue: Medical subject headings. |
| galar map high resolution: Government Reports Announcements & Index , 1995 |
| galar map high resolution: Sustainable Smart Cities Pradeep Kumar Singh, Marcin Paprzycki, Mohamad Essaaidi, Shahram Rahimi, 2022-11-02 This book brings the recent collection of smart technologies. Smart cities challenges and key requirements are discussed through the technological solutions, IoT, cloud computing, block chain and artificial intelligence. Firstly, the key technologies contributing to the smart cities research are identified. Then, the most popular ones are covered in context to their theoretical and practical applications. Smart cities technologies are one of the recent research areas. Every day new technological solutions are coming to make smart cities more sustainable. The book explores the integration of main key technologies for smart cities which are IoT & cloud computing, data science, AI and block chain & Industry 4.0. Moreover, some integrated solutions using AI, data science and IoT will attract the attention of end users. Primary market of the book is aimed toward the undergraduate and master students. IoT, cloud computing, artificial intelligence and block chain are elective courses at the bachelor level in the engineering domain, and its application areas in context to smart cities are covered in this book. The book is a good source of reference for their master dissertations. Ph.D. students or scholars who are working on these key technologies like IoT & cloud, AI, data science, block chain & Industry 4.0 will find this book as a constant source of reference for their ongoing research. Smart city planners, architects and municipal experts may also find this book useful. |
| galar map high resolution: Proceedings of the 5th International Conference on Maintenance, Condition Monitoring and Diagnostics 2021 Esko Juuso, Diego Galar, 2023-07-18 This volume contains selected papers from the Fifth Conference on Maintenance, Condition Monitoring and Diagnostics, MCMD 2021, in Oulu, Finland, collected by editors with years of experiences in condition monitoring, signal processing, advanced reasoning and diagnostics, maintenance, risk assessment, and asset management. This work maximizes reader insights into the current trends in novel technologies and maintenance trends in industrial domains, energy production and energy conservation, mechatronics and robot technologies. These proceedings discuss key issues and challenges in the operation, maintenance and risk management of complex engineering systems and will serve as a valuable resource for condition monitoring and risk management professionals from industry and science exchange knowledge, experiences and strengthen multidisciplinary network those in the field. This book will be of benefit to academia, and industry alike. |
| galar map high resolution: The Network Reshapes the Library Lorcan Dempsey, 2014-08-18 Since he began posting in 2003, Dempsey has used his blog to explore nearly every important facet of library technology, from the emergence of Web 2.0 as a concept to open source ILS tools and the push to web-scale library management systems. |
| galar map high resolution: Change Detection and Image Time Series Analysis 2 Abdourrahmane M. Atto, Francesca Bovolo, Lorenzo Bruzzone, 2021-12-29 Change Detection and Image Time Series Analysis 2 presents supervised machine-learning-based methods for temporal evolution analysis by using image time series associated with Earth observation data. Chapter 1 addresses the fusion of multisensor, multiresolution and multitemporal data. It proposes two supervised solutions that are based on a Markov random field: the first relies on a quad-tree and the second is specifically designed to deal with multimission, multifrequency and multiresolution time series. Chapter 2 provides an overview of pixel based methods for time series classification, from the earliest shallow learning methods to the most recent deep-learning-based approaches. Chapter 3 focuses on very high spatial resolution data time series and on the use of semantic information for modeling spatio-temporal evolution patterns. Chapter 4 centers on the challenges of dense time series analysis, including pre processing aspects and a taxonomy of existing methodologies. Finally, since the evaluation of a learning system can be subject to multiple considerations, Chapters 5 and 6 offer extensive evaluations of the methodologies and learning frameworks used to produce change maps, in the context of multiclass and/or multilabel change classification issues. |
| galar map high resolution: Large-Scale Data Analytics with Python and Spark Isaac Triguero, Mikel Galar, 2023-11-23 Based on the authors' extensive teaching experience, this hands-on graduate-level textbook teaches how to carry out large-scale data analytics and design machine learning solutions for big data. With a focus on fundamentals, this extensively class-tested textbook walks students through key principles and paradigms for working with large-scale data, frameworks for large-scale data analytics (Hadoop, Spark), and explains how to implement machine learning to exploit big data. It is unique in covering the principles that aspiring data scientists need to know, without detail that can overwhelm. Real-world examples, hands-on coding exercises and labs combine with exceptionally clear explanations to maximize student engagement. Well-defined learning objectives, exercises with online solutions for instructors, lecture slides, and an accompanying suite of lab exercises of increasing difficulty in Jupyter Notebooks offer a coherent and convenient teaching package. An ideal teaching resource for courses on large-scale data analytics with machine learning in computer/data science departments. |
| galar map high resolution: Gale Directory of Databases , 2007 This is a guide to computer-readable databases available online, in CD-ROM format, or in other magnetic formats. Details include database descriptions, costs, and whom to contact for purchase. The material is indexed alphabetically, and by subject, vendor, and producer. |
| galar map high resolution: Big Data Preprocessing Julián Luengo, Diego García-Gil, Sergio Ramírez-Gallego, Salvador García, Francisco Herrera, 2020-03-16 This book offers a comprehensible overview of Big Data Preprocessing, which includes a formal description of each problem. It also focuses on the most relevant proposed solutions. This book illustrates actual implementations of algorithms that helps the reader deal with these problems. This book stresses the gap that exists between big, raw data and the requirements of quality data that businesses are demanding. This is called Smart Data, and to achieve Smart Data the preprocessing is a key step, where the imperfections, integration tasks and other processes are carried out to eliminate superfluous information. The authors present the concept of Smart Data through data preprocessing in Big Data scenarios and connect it with the emerging paradigms of IoT and edge computing, where the end points generate Smart Data without completely relying on the cloud. Finally, this book provides some novel areas of study that are gathering a deeper attention on the Big Data preprocessing. Specifically, it considers the relation with Deep Learning (as of a technique that also relies in large volumes of data), the difficulty of finding the appropriate selection and concatenation of preprocessing techniques applied and some other open problems. Practitioners and data scientists who work in this field, and want to introduce themselves to preprocessing in large data volume scenarios will want to purchase this book. Researchers that work in this field, who want to know which algorithms are currently implemented to help their investigations, may also be interested in this book. |
| galar map high resolution: In Defense of Monopoly Richard B. McKenzie, Dwight R. Lee, 2019-02-28 In Defense of Monopoly offers an unconventional but empirically grounded argument in favor of market monopolies. Authors McKenzie and Lee claim that conventional, static models exaggerate the harm done by real-world monopolies, and they show why some degree of monopoly presence is necessary to maximize the improvement of human welfare over time. Inspired by Joseph Schumpeter's suggestion that market imperfections can drive an economy's long-term progress, In Defense of Monopoly defies conventional assumptions to show readers why an economic system's failure to efficiently allocate its resources is actually a necessary precondition for maximizing the system's long-term performance: the perfectly fluid, competitive economy idealized by most economists is decidedly inferior to one characterized by market entry and exit restrictions or costs. An economy is not a board game in which players compete for a limited number of properties, nor is it much like the kind of blackboard games that economists use to develop their monopoly models. As McKenzie and Lee demonstrate, the creation of goods and services in the real world requires not only competition but the prospect of gains beyond a normal competitive rate of return. |
| galar map high resolution: Metallurgia , 1989 |
| galar map high resolution: AI and Learning Systems Konstantinos Kyprianidis, Erik Dahlquist, 2021-02-17 Over the last few years, interest in the industrial applications of AI and learning systems has surged. This book covers the recent developments and provides a broad perspective of the key challenges that characterize the field of Industry 4.0 with a focus on applications of AI. The target audience for this book includes engineers involved in automation system design, operational planning, and decision support. Computer science practitioners and industrial automation platform developers will also benefit from the timely and accurate information provided in this work. The book is organized into two main sections comprising 12 chapters overall: •Digital Platforms and Learning Systems •Industrial Applications of AI |
| galar map high resolution: International Congress and Workshop on Industrial AI and eMaintenance 2023 Uday Kumar, Ramin Karim, Diego Galar, Ravdeep Kour, 2024-01-01 This proceedings brings together the papers presented at the International Congress and Workshop on Industrial AI and eMaintenance 2023 (IAI2023). The conference integrates the themes and topics of three conferences: Industrial AI & eMaintenance, Condition Monitoring and Diagnostic Engineering Management (COMADEM) and, Advances in Reliability, Maintainability and Supportability (ARMS) on a single platform. This proceedings serves both academy and industry in providing an excellent platform for collaboration by providing a forum for exchange of ideas and networking. The 21st century has seen remarkable progress in Artificial Intelligence, with application to a variety of fields (computer vision, automatic translation, sentiment analysis in social networks, robotics, etc.) The IAI2023 focuses on Industrial Artificial Intelligence, or IAI. The emergence of industrial AI applications holds tremendous promises in terms of achieving excellence and cost-effectiveness in the operation and maintenance of industrial assets. Opportunities in Industrial AI exist in many industries such as aerospace, railways, mining, construction, process industry, etc. Its development is powered by several trends: the Internet of Things (IoT); the increasing convergence between OT (operational technologies) and IT (information technologies); last but not least, the unabated fast-paced developments of advanced analytics. However, numerous technical and organizational challenges to the widespread development of industrial AI still exist. The IAI2023 conference and its proceedings foster fruitful discussions between AI creators and industrial practitioners. |
| galar map high resolution: Characteristics of Hawaiian Volcanoes Taeko Jane Takahashi, Claire M. Landowski, Characteristics of Hawaiian Volcanoes establishes a benchmark for the currrent understanding of volcanism in Hawaii, and the articles herein build upon the elegant and pioneering work of Dutton, Jagger, Steams, and many other USGS and academic scientists. Each chapter synthesizes the lessons learned about a specific aspect of volcanism in Hawaii, based largely o continuous observation of eruptive activity and on systematic research into volcanic and earthquake processes during HVO's first 100 years. NOTE: NO FURTHER DISCOUNTS FOR ALREADY REDUCED SALE ITEMS. |
| galar map high resolution: Recent Trends in Computational Intelligence Ali Sadollah, Tilendra Sinha, 2020-05-06 Traditional models struggle to cope with complexity, noise, and the existence of a changing environment, while Computational Intelligence (CI) offers solutions to complicated problems as well as reverse problems. The main feature of CI is adaptability, spanning the fields of machine learning and computational neuroscience. CI also comprises biologically-inspired technologies such as the intellect of swarm as part of evolutionary computation and encompassing wider areas such as image processing, data collection, and natural language processing. This book aims to discuss the usage of CI for optimal solving of various applications proving its wide reach and relevance. Bounding of optimization methods and data mining strategies make a strong and reliable prediction tool for handling real-life applications. |
| galar map high resolution: Learning from Imbalanced Data Sets Alberto Fernández, Salvador García, Mikel Galar, Ronaldo C. Prati, Bartosz Krawczyk, Francisco Herrera, 2018-10-22 This book provides a general and comprehensible overview of imbalanced learning. It contains a formal description of a problem, and focuses on its main features, and the most relevant proposed solutions. Additionally, it considers the different scenarios in Data Science for which the imbalanced classification can create a real challenge. This book stresses the gap with standard classification tasks by reviewing the case studies and ad-hoc performance metrics that are applied in this area. It also covers the different approaches that have been traditionally applied to address the binary skewed class distribution. Specifically, it reviews cost-sensitive learning, data-level preprocessing methods and algorithm-level solutions, taking also into account those ensemble-learning solutions that embed any of the former alternatives. Furthermore, it focuses on the extension of the problem for multi-class problems, where the former classical methods are no longer to be applied in a straightforward way. This book also focuses on the data intrinsic characteristics that are the main causes which, added to the uneven class distribution, truly hinders the performance of classification algorithms in this scenario. Then, some notes on data reduction are provided in order to understand the advantages related to the use of this type of approaches. Finally this book introduces some novel areas of study that are gathering a deeper attention on the imbalanced data issue. Specifically, it considers the classification of data streams, non-classical classification problems, and the scalability related to Big Data. Examples of software libraries and modules to address imbalanced classification are provided. This book is highly suitable for technical professionals, senior undergraduate and graduate students in the areas of data science, computer science and engineering. It will also be useful for scientists and researchers to gain insight on the current developments in this area of study, as well as future research directions. |
| galar map high resolution: Data Preprocessing in Data Mining Salvador García, Julián Luengo, Francisco Herrera, 2014-08-30 Data Preprocessing for Data Mining addresses one of the most important issues within the well-known Knowledge Discovery from Data process. Data directly taken from the source will likely have inconsistencies, errors or most importantly, it is not ready to be considered for a data mining process. Furthermore, the increasing amount of data in recent science, industry and business applications, calls to the requirement of more complex tools to analyze it. Thanks to data preprocessing, it is possible to convert the impossible into possible, adapting the data to fulfill the input demands of each data mining algorithm. Data preprocessing includes the data reduction techniques, which aim at reducing the complexity of the data, detecting or removing irrelevant and noisy elements from the data. This book is intended to review the tasks that fill the gap between the data acquisition from the source and the data mining process. A comprehensive look from a practical point of view, including basic concepts and surveying the techniques proposed in the specialized literature, is given.Each chapter is a stand-alone guide to a particular data preprocessing topic, from basic concepts and detailed descriptions of classical algorithms, to an incursion of an exhaustive catalog of recent developments. The in-depth technical descriptions make this book suitable for technical professionals, researchers, senior undergraduate and graduate students in data science, computer science and engineering. |
| galar map high resolution: The Geology of the Arabian-Nubian Shield Zakaria Hamimi, Abdel-Rahman Fowler, Jean-Paul Liégeois, Alan Collins, Mohamed G. Abdelsalam, Mohamed Abd EI-Wahed, 2021 This richly illustrated book reviews the geology, tectonics and mineralization of the Arabian-Nubian Shield (ANS) in 27 chapters. It starts with an examination of the ANS lithospheric scale features, explores Mesoproterozoic units and deals with the ANS oceanic stage. Arc volcanism and plutonism, post-collision basins and volcanics are discussed, as well as the younger granitoid magmatism and the deformation history of the ANS. The book provides information on ANS glacial stages and late magmatism. Chapters are devoted to review the transition between ANS and the reworked continent to its south. Finally, it discusses how ANS structures influenced the overall East African Rift System. |
| galar map high resolution: Soft Computing for Biomedical Applications and Related Topics Vladik Kreinovich, Nguyen Hoang Phuong, 2020-06-29 This book presents innovative intelligent techniques, with an emphasis on their biomedical applications. Although many medical doctors are willing to share their knowledge – e.g. by incorporating it in computer-based advisory systems that can benefit other doctors – this knowledge is often expressed using imprecise (fuzzy) words from natural language such as “small,” which are difficult for computers to process. Accordingly, we need fuzzy techniques to handle such words. It is also desirable to extract general recommendations from the records of medical doctors’ decisions – by using machine learning techniques such as neural networks. The book describes state-of-the-art fuzzy, neural, and other techniques, especially those that are now being used, or potentially could be used, in biomedical applications. Accordingly, it will benefit all researchers and students interested in the latest developments, as well as practitioners who want to learn about new techniques. |
| galar map high resolution: Simulation of Systems '79 Leendert Dekker, G. Savastano, G. C. Vansteenkiste, 1980 |
| galar map high resolution: Advances in Artificial Intelligence José M. Puerta, José A. Gámez, Bernabe Dorronsoro, Edurne Barrenechea, Alicia Troncoso, Bruno Baruque, Mikel Galar, 2015-11-13 This book constitutes the refereed proceedings of the 16th Conference of the Spanish Association for Artificial Intelligence, CAEPIA 2015, held in Albacete, Spain, in November 2015. The 31 revised full papers presented were carefully selected from 175 submissions. The papers are organized in topical sections on Bayesian networks and uncertainty modeling; fuzzy logic and soft computing; knowledge representation, reasoning, and logic; intelligent systems and environment; intelligent Web and recommender systems; machine learning and data mining; metaheuristics and evolutionary computation; and social robotics. |
| galar map high resolution: Pollution of Water Bodies in Latin America Leobardo Manuel Gómez-Oliván, 2019-11-22 The indiscriminate use of chemical substances in industrial processes and anthropogenic activities, have resulted in the release of these compounds into aquatic ecosystems through municipal, hospital and industrial discharges, producing various undesired effects on the environment and on species of ecological interest. These compounds, such as metals, pesticides, emerging pollutants and other substances are persistent and susceptible to biotic and/or abiotic transformations, yielding metabolites that can be more toxic than the original compounds. In this book, researchers from diverse environmental science disciplines share their experiences in countries such as Argentina, Brazil, Colombia and Mexico, and critically examine the problem of contaminants in aquatic ecosystems in Latin America, as well as the risks presented by their presence. |
| galar map high resolution: The Dean of Lismore's Book Thomas Maclauchlan, William Forbes Skene, 1862 |
| galar map high resolution: Water Quality Monitoring and Management Daoliang Li, Shuangyin Liu, 2018-10-11 Water Quality Monitoring and Management: Basis, Technology and Case Studies presents recent innovations in operations management for water quality monitoring. It highlights the cost of using and choosing smart sensors with advanced engineering approaches that have been applied in water quality monitoring management, including area coverage planning and sequential scheduling. In parallel, the book covers newly introduced technologies like bulk data handling techniques, IoT of agriculture, and compliance with environmental considerations. Presented from a system engineering perspective, the book includes aspects on advanced optimization, system and platform, Wireless Sensor Network, selection of river water quality, groundwater quality detection, and more. It will be an ideal resource for students, researchers and those working daily in agriculture who must maintain acceptable water quality. - Discusses field operations research and application in water science - Includes detection methods and case analysis for water quality management - Encompasses rivers, lakes, seas and groundwater - Covers water for agriculture, aquaculture, drinking and industrial uses |
| galar map high resolution: ECPPM 2022 - eWork and eBusiness in Architecture, Engineering and Construction 2022 Eilif Hjelseth, Sujesh F. Sujan, Raimar J Scherer, 2023-03-29 ECPPM 2022 - eWork and eBusiness in Architecture, Engineering and Construction contains the papers presented at the 14th European Conference on Product & Process Modelling (ECPPM 2022, Trondheim, Norway, 14-16 September 2022), and builds on a long-standing history of excellence in product and process modelling in the construction industry, which is currently known as Building Information Modelling (BIM). The following topics and applications are given special attention: Sustainable and Circular Driven Digitalisation: Data Driven Design and/or Decision Support Assessment and Documentation of Sustainability Information lifecycle Data Management: Collection, Processing and Presentation of Environmental Product Documentation (EPD) and Product Data Templates (PDT) Digital Enabled Collaboration: Integrated and Multi-Disciplinary Processes Virtual Design and Construction (VDC): Production Metrics, Integrated Concurrent Engineering, Lean Construction and Information Integration Automation of Processes: Automation of Design and Engineering Processes, Parametric Modelling and Robotic Process Automation Expert Systems: BIM based model and compliance checking Enabling Technologies: Machine Learning, Big Data, Artificial and Augmented Intelligence, Digital Twins, Semantic Technology Sensors and IoT Production with Autonomous Machinery, Robotics and Combinations of Existing and New Technical Solutions Frameworks for Implementation: International Information Management Series (ISO 19650), and Other International Standards (ISO), European (CEN) and National Standards, Digital Platforms and Ecosystems Human Factors in Digital Application: Digital Innovation, Economy of Digitalisation, Client, Organisational, Team and/or Individual Perspectives Over the past 25 years, the biennial ECPPM conference proceedings series has provided researchers and practitioners with a unique platform to present and discuss the latest developments regarding emerging BIM technologies and complementary issues for their adoption in the AEC/FM industry. |
| galar map high resolution: Dataset Shift in Machine Learning Joaquin Quinonero-Candela, Masashi Sugiyama, Anton Schwaighofer, Neil D. Lawrence, 2008-12-12 An overview of recent efforts in the machine learning community to deal with dataset and covariate shift, which occurs when test and training inputs and outputs have different distributions. Dataset shift is a common problem in predictive modeling that occurs when the joint distribution of inputs and outputs differs between training and test stages. Covariate shift, a particular case of dataset shift, occurs when only the input distribution changes. Dataset shift is present in most practical applications, for reasons ranging from the bias introduced by experimental design to the irreproducibility of the testing conditions at training time. (An example is -email spam filtering, which may fail to recognize spam that differs in form from the spam the automatic filter has been built on.) Despite this, and despite the attention given to the apparently similar problems of semi-supervised learning and active learning, dataset shift has received relatively little attention in the machine learning community until recently. This volume offers an overview of current efforts to deal with dataset and covariate shift. The chapters offer a mathematical and philosophical introduction to the problem, place dataset shift in relationship to transfer learning, transduction, local learning, active learning, and semi-supervised learning, provide theoretical views of dataset and covariate shift (including decision theoretic and Bayesian perspectives), and present algorithms for covariate shift. Contributors Shai Ben-David, Steffen Bickel, Karsten Borgwardt, Michael Brückner, David Corfield, Amir Globerson, Arthur Gretton, Lars Kai Hansen, Matthias Hein, Jiayuan Huang, Choon Hui Teo, Takafumi Kanamori, Klaus-Robert Müller, Sam Roweis, Neil Rubens, Tobias Scheffer, Marcel Schmittfull, Bernhard Schölkopf Hidetoshi Shimodaira, Alex Smola, Amos Storkey, Masashi Sugiyama |
| galar map high resolution: Gaussian Processes for Machine Learning Carl Edward Rasmussen, Christopher K. I. Williams, 2005-11-23 A comprehensive and self-contained introduction to Gaussian processes, which provide a principled, practical, probabilistic approach to learning in kernel machines. Gaussian processes (GPs) provide a principled, practical, probabilistic approach to learning in kernel machines. GPs have received increased attention in the machine-learning community over the past decade, and this book provides a long-needed systematic and unified treatment of theoretical and practical aspects of GPs in machine learning. The treatment is comprehensive and self-contained, targeted at researchers and students in machine learning and applied statistics. The book deals with the supervised-learning problem for both regression and classification, and includes detailed algorithms. A wide variety of covariance (kernel) functions are presented and their properties discussed. Model selection is discussed both from a Bayesian and a classical perspective. Many connections to other well-known techniques from machine learning and statistics are discussed, including support-vector machines, neural networks, splines, regularization networks, relevance vector machines and others. Theoretical issues including learning curves and the PAC-Bayesian framework are treated, and several approximation methods for learning with large datasets are discussed. The book contains illustrative examples and exercises, and code and datasets are available on the Web. Appendixes provide mathematical background and a discussion of Gaussian Markov processes. |
| galar map high resolution: Intelligent Data Engineering and Automated Learning – IDEAL 2020 Cesar Analide, Paulo Novais, David Camacho, Hujun Yin, 2020-10-29 This two-volume set of LNCS 12489 and 12490 constitutes the thoroughly refereed conference proceedings of the 21th International Conference on Intelligent Data Engineering and Automated Learning, IDEAL 2020, held in Guimaraes, Portugal, in November 2020.* The 93 papers presented were carefully reviewed and selected from 134 submissions. These papers provided a timely sample of the latest advances in data engineering and machine learning, from methodologies, frameworks, and algorithms to applications. The core themes of IDEAL 2020 include big data challenges, machine learning, data mining, information retrieval and management, bio-/neuro-informatics, bio-inspiredmodels, agents and hybrid intelligent systems, real-world applications of intelligent techniques and AI. * The conference was held virtually due to the COVID-19 pandemic. |
| galar map high resolution: Chasing Redbird Sharon Creech, 2012-04-24 “Intriguing, delightful, and touching.” —School Library Journal (starred review) “Creech’s best yet.” —Publishers Weekly (starred review) It started out as an ordinary summer. But the minute thirteen-year-old Zinny discovered the old, overgrown trail that ran through the woods behind her family’s house, she realized that things were about to change. It was her chance to finally make people notice her, and to have a place she could call her very own. But more than that, Zinny knew that the trail somehow held the key to all kinds of questions. And that the only way to understand her family, her Aunt Jessie’s death, and herself, was to find out where it went. From Newbery Medal-winning author Sharon Creech comes a story of love, loss, and understanding, an intricately woven tale of a young girl who sets out in search of her place in the world—and discovers it in her own backyard. An ALA Best Book for Young Adults |
| galar map high resolution: The Sedimentary Record of Sea-Level Change Angela L. Coe, Dan W. J. Bosence, Kevin D. Church, Stephen S. Flint, John A. Howell, R. Chris L. Wilson, 2003-05-22 This illustrated textbook describes how past changes in sea-level can be detected through an analysis of the sedimentary record, and how sequence stratigraphy techniques can provide explanations of how the sedimentary system evolves through geological time. Designed for use in undergraduate and graduate courses, it includes detailed case studies, set-aside focus boxes, and bulleted Questions and Answers interspersed throughout. The book is also supported by a website hosting sample pages. |
| galar map high resolution: The MoeGamer Compendium, Volume 1 Pete Davison, 2019-03-14 In this collection of articles, first published on MoeGamer in 2016, Pete Davison explores a variety of overlooked and underappreciated games on computer and console. Volume 1 covers Senran Kagura Estival Versus, Megadimension Neptunia V-II, Dungeon Travelers 2, Ys, One Way Heroics, Gal*Gun Double Peace, Fairy Fencer F: Advent Dark Force and Final Fantasy XV. |
| galar map high resolution: Ethiopia and the Horn of Africa United States. Congress. Senate. Committee on Foreign Relations. Subcommittee on African Affairs, 1976 |
| galar map high resolution: Hammond's Standard World Atlas Hammond Incorporated, 1962 |
| galar map high resolution: Visual Data Mining Simeon Simoff, Michael H. Böhlen, Arturas Mazeika, 2008-07-23 Visual Data Mining—Opening the Black Box Knowledge discovery holds the promise of insight into large, otherwise opaque datasets. Thenatureofwhatmakesaruleinterestingtoauserhasbeendiscussed 1 widely but most agree that it is a subjective quality based on the practical u- fulness of the information. Being subjective, the user needs to provide feedback to the system and, as is the case for all systems, the sooner the feedback is given the quicker it can in?uence the behavior of the system. There have been some impressive research activities over the past few years but the question to be asked is why is visual data mining only now being - vestigated commercially? Certainly, there have been arguments for visual data 2 mining for a number of years – Ankerst and others argued in 2002 that current (autonomous and opaque) analysis techniques are ine?cient, as they fail to - rectly embed the user in dataset exploration and that a better solution involves the user and algorithm being more tightly coupled. Grinstein stated that the “current state of the art data mining tools are automated, but the perfect data mining tool is interactive and highly participatory,” while Han has suggested that the “data selection and viewing of mining results should be fully inter- tive, the mining process should be more interactive than the current state of the 2 art and embedded applications should be fairly automated . ” A good survey on 3 techniques until 2003 was published by de Oliveira and Levkowitz . |
| galar map high resolution: Annals of Ireland by the Four Masters as translated into English by Owen Connellan Michael O'Clery, 2003 The second volume of the 2 book set for The Annals of Ireland by the Four Masters as translated by Owen Connellan. This is the volume that contains the large fold-out map at the back of the book. |
| galar map high resolution: The Heroes of Asgard Annie Keary, Eliza Keary, 1883 |
| galar map high resolution: eMaintenance Diego Galar, Uday Kumar, 2017-06-15 eMaintenance: Essential Electronic Tools for Efficiency enables the reader to improve efficiency of operations, maintenance staff, infrastructure managers and system integrators, by accessing a real time computerized system from data to decision. In recent years, the exciting possibilities of eMaintenance have become increasingly recognized as a source of productivity improvement in industry. The seamless linking of systems and equipment to control centres for real time reconfiguring is improving efficiency, reliability, and sustainability in a variety of settings. The book provides an introduction to collecting and processing data from machinery, explains the methods of overcoming the challenges of data collection and processing, and presents tools for data driven condition monitoring and decision making. This is a groundbreaking handbook for those interested in the possibilities of running a plant as a smart asset. - Provides an introduction to collecting and processing data from machinery - Explains how to use sensor-based tools to increase efficiency of diagnosis, prognosis, and decision-making in maintenance - Describes methods for overcoming the challenges of data collection and processing |
| galar map high resolution: Science Citation Index , 1994 Vols. for 1964- have guides and journal lists. |
Metagame - np: Stage 15: Freeze Tag (Articuno-Galar NOT BANNED)
Jan 18, 2025 · :sv/articuno-galar: ~~~ (ty DugZa for helping me write this) Following the recent January metagame shifts, Articuno-Galar has soon rose to the forefront of the tier as a …
UU - Moltres-Galar / Sulfura de Galar (2/2) | Smogon Forums
Sep 9, 2021 · Sulfura de Galar peut aider Azumarill en fournissant un matchup idéal contre Gaulet et Bouldeneu. Nidoqueen peut check Zeraora et les types Fée ainsi que placer les Pics Toxik …
Pokémon - Slowking-Galar | Smogon Forums
May 30, 2023 · Slowking-Galar Base Stats: 95 HP / 65 Atk / 80 Def / 110 SpA / 110 SpD / 35 Spe Abilities: Curious Medicine | Own Tempo | Regenerator (H) Notable Moves: Calm Mind Chilly …
VGC - (Galarian Weezing) [GP 1/1] Doug Dimmadome
Jan 31, 2025 · [SET] Bulky Support (Weezing-Galar) @ Covert Cloak / Sitrus Berry / Mental Herb Ability: Neutralizing Gas Tera Type: Dark / Grass / Water EVs: 252 HP / 4 Def / 4 SpA / 236 …
Mr. Mime-Galar [GP 1/2] | Smogon Forums
Jan 5, 2021 · QC 1/2! Big analysis here, and there's some things to keep in mind GP-wise when it comes to formal analysis writing.5 Galarian formes of Pokemon always have "Galarian" written …
National Dex - Darmanitan Galar [Done] | Smogon Forums
Feb 3, 2020 · [OVERVIEW] A sky-high attack stat that is bolstered even further by Gorilla Tactics in conjunction with a good Speed tier makes Galarian Darmanitan one of the tier's premier …
Pokémon - Moltres-Galar | Smogon Forums
May 30, 2023 · Moltres-Galar will likely be used as in a similar capacity to Iron Jugulis, with the main tradeoff being Boosting moves compared to Coverage and initially superior stats.
OU - Galarian Slowking | Smogon Forums
Jan 13, 2024 · [SET] Defensive Pivot (Slowking-Galar) @ Heavy-Duty Boots Ability: Regenerator EVs: 252 HP / 16 Def / 240 SpD IVs: 0 Spe Tera Type: Water / Fairy / Dark Sassy Nature - …
Pokémon - Weezing-Galar | Smogon Forums
Sep 13, 2023 · Weezing-Galar is held back by its somewhat mediocre stats and lack of truly solid recovery, and poor matchups into pokemon like Garganacl, Enamorus (Specs is an easy …
VGC - Galarian Weezing [QC 1/1] | Smogon Forums
May 23, 2025 · Tera Dark grants Galarian Weezing an immunity to Calyrex-S's Psychic and a resistance to its Astral Barrage. Teambuilding ========= - Incineroar, Tornadus, and Flutter …
Metagame - np: Stage 15: Freeze Tag (Articuno-Galar NOT BANNED)
Jan 18, 2025 · :sv/articuno-galar: ~~~ (ty DugZa for helping me write this) Following the recent January metagame shifts, Articuno-Galar has soon rose to the forefront of the tier as a …
UU - Moltres-Galar / Sulfura de Galar (2/2) | Smogon Forums
Sep 9, 2021 · Sulfura de Galar peut aider Azumarill en fournissant un matchup idéal contre Gaulet et Bouldeneu. Nidoqueen peut check Zeraora et les types Fée ainsi que placer les Pics Toxik …
Pokémon - Slowking-Galar | Smogon Forums
May 30, 2023 · Slowking-Galar Base Stats: 95 HP / 65 Atk / 80 Def / 110 SpA / 110 SpD / 35 Spe Abilities: Curious Medicine | Own Tempo | Regenerator (H) Notable Moves: Calm Mind Chilly …
VGC - (Galarian Weezing) [GP 1/1] Doug Dimmadome
Jan 31, 2025 · [SET] Bulky Support (Weezing-Galar) @ Covert Cloak / Sitrus Berry / Mental Herb Ability: Neutralizing Gas Tera Type: Dark / Grass / Water EVs: 252 HP / 4 Def / 4 SpA / 236 SpD / …
Mr. Mime-Galar [GP 1/2] | Smogon Forums
Jan 5, 2021 · QC 1/2! Big analysis here, and there's some things to keep in mind GP-wise when it comes to formal analysis writing.5 Galarian formes of Pokemon always have "Galarian" written …
National Dex - Darmanitan Galar [Done] | Smogon Forums
Feb 3, 2020 · [OVERVIEW] A sky-high attack stat that is bolstered even further by Gorilla Tactics in conjunction with a good Speed tier makes Galarian Darmanitan one of the tier's premier Choice …
Pokémon - Moltres-Galar | Smogon Forums
May 30, 2023 · Moltres-Galar will likely be used as in a similar capacity to Iron Jugulis, with the main tradeoff being Boosting moves compared to Coverage and initially superior stats.
OU - Galarian Slowking | Smogon Forums
Jan 13, 2024 · [SET] Defensive Pivot (Slowking-Galar) @ Heavy-Duty Boots Ability: Regenerator EVs: 252 HP / 16 Def / 240 SpD IVs: 0 Spe Tera Type: Water / Fairy / Dark Sassy Nature - Future …
Pokémon - Weezing-Galar | Smogon Forums
Sep 13, 2023 · Weezing-Galar is held back by its somewhat mediocre stats and lack of truly solid recovery, and poor matchups into pokemon like Garganacl, Enamorus (Specs is an easy 2hko), …
VGC - Galarian Weezing [QC 1/1] | Smogon Forums
May 23, 2025 · Tera Dark grants Galarian Weezing an immunity to Calyrex-S's Psychic and a resistance to its Astral Barrage. Teambuilding ========= - Incineroar, Tornadus, and Flutter …
