2021 IEEE India Geoscience and Remote Sensing Symposium (InGARSS) PDF Download

Author:
Publisher:
ISBN: 9781665442497
Category :
Languages : en
Pages : 0

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Author: IEEE Staff
Publisher:
ISBN: 9781665442503
Category :
Languages : en
Pages :

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Book Description
This will be the 2nd in person symposium sponsored by IEEE Geoscience and Remote Sensing Society (IEEE GRSS) in India for interacting with global scientists, engineers and educators engaged in the fields of geoscience and remote sensing This conference will provide a platform for exchange of ideas and latest advancement in the research

Author: IEEE Staff
Publisher:
ISBN: 9781728131153
Category :
Languages : en
Pages :

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Book Description
This will be the 1st symposium sponsored by IEEE Geoscience and Remote Sensing Society (IEEE GRSS) in India for gathering world class scientists, engineers and educators engaged in the fields of geoscience and remote sensing We believe that this conference will provide a platform for exchange of ideas and latest development in the area of research in Geoscience and Remote Sensing

Author:
Publisher:
ISBN: 9781665403696
Category :
Languages : en
Pages : 0

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Author: Surya S Durbha
Publisher: CRC Press
ISBN: 1000877485
Category : Technology & Engineering
Languages : en
Pages : 423

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Geospatial data acquisition and analysis techniques have experienced tremendous growth in the last few years, providing an opportunity to solve previously unsolved environmental- and natural resource-related problems. However, a variety of challenges are encountered in processing the highly voluminous geospatial data in a scalable and efficient manner. Technological advancements in high-performance computing, computer vision, and big data analytics are enabling the processing of big geospatial data in an efficient and timely manner. Many geospatial communities have already adopted these techniques in multidisciplinary geospatial applications around the world. This book is a single source that offers a comprehensive overview of the state of the art and future developments in this domain. FEATURES Demonstrates the recent advances in geospatial analytics tools, technologies, and algorithms Provides insight and direction to the geospatial community regarding the future trends in scalable and intelligent geospatial analytics Exhibits recent geospatial applications and demonstrates innovative ways to use big geospatial data to address various domain-specific, real-world problems Recognizes the analytical and computational challenges posed and opportunities provided by the increased volume, velocity, and veracity of geospatial data This book is beneficial to graduate and postgraduate students, academicians, research scholars, working professionals, industry experts, and government research agencies working in the geospatial domain, where GIS and remote sensing are used for a variety of purposes. Readers will gain insights into the emerging trends on scalable geospatial data analytics.

Author: Satishkumar, D.
Publisher: IGI Global
ISBN:
Category : Nature
Languages : en
Pages : 378

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In a world where natural disasters wreak havoc with increasing frequency and severity, the need for accurate prediction and effective management has never been more critical. From earthquakes shattering communities to floods submerging vast regions, these events endanger lives and strain resources and infrastructure to their limits. Yet, amidst this turmoil, traditional forecasting methods often need to catch up, leaving us vulnerable and reactive rather than proactive. This comprehensive academic collection provides a beacon of hope in uncertain circumstances: Internet of Things and AI for Natural Disaster Management and Prediction. By bridging the gap between theory and practice, this book empowers academics, policymakers, and practitioners alike to harness the full potential of machine learning in safeguarding lives and livelihoods.

Author: Utku Kose
Publisher: Springer Nature
ISBN: 3031086376
Category : Technology & Engineering
Languages : en
Pages : 203

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This book presents research on how interpretable cognitive IoT can work to help with the massive amount of data in the healthcare industry. The authors give importance to IoT systems with intense machine learning features; this ensures the scope corresponds to use of cognitive IoT for understanding, reasoning, and learning from medical data. The authors discuss the interpretability of an intelligent system and its trustworthiness as a smart tool in the context of massive healthcare applications. As a whole, book combines three important topics: massive data, cognitive IoT, and interpretability. Topics include health data analytics for cognitive IoT, usability evaluation of cognitive IoT for healthcare, interpretable cognitive IoT for health robotics, and wearables in the context of IoT for healthcare. The book acts as a useful reference work for a wide audience including academicians, scientists, students, and professionals.

Author: Biju, Soly Mathew
Publisher: IGI Global
ISBN: 1668486989
Category : Computers
Languages : en
Pages : 321

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The world is approaching a point where big data will start to play a beneficial role in many industries and organizations. Today, analyzing data for new insights has become an everyday norm, increasing the need for data analysts to use efficient and appropriate tools to provide quick and valuable results to clients. Existing research in the field currently lacks a full coverage of all essential algorithms, leaving a knowledge void for practical implementation and code in Python with all needed libraries and links to datasets used. Advanced Interdisciplinary Applications of Machine Learning Python Libraries for Data Science serves as a one-stop book to help emerging data scientists gain hands-on skills needed through real-world data and completely up-to-date Python code. It covers all the technical details, from installing the needed software to importing libraries and using the latest data sets; deciding on the right model; training, testing, and evaluating the model; and including NumPy, Pandas, and matplotlib. With coverage on various machine learning algorithms like regression, linear and logical regression, classification, support vector machine (SVM), clustering, k-nearest neighbor, market basket analysis, Apriori, k-means clustering, and visualization using Seaborne, it is designed for academic researchers, undergraduate students, postgraduate students, executive education program leaders, and practitioners.

Author: Basabi Chakraborty
Publisher: Springer Nature
ISBN: 981993656X
Category : Technology & Engineering
Languages : en
Pages : 738

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This book presents selected research papers on current developments in artificial intelligence (AI) and data sciences from the International Conference on Advances in Data Science and Computing Technologies, ADSC 2022. The book covers topics such as soft computing techniques, AI, optical communication systems, application of Internet of Things, hybrid and renewable energy sources, cloud and mobile computing, deep machine learning, data networks & securities. The book discusses various aspects of these topics, e.g., technological considerations, product implementation, and application issues. The volume will serve as a reference resource for researchers and practitioners in academia and industry.

Author: Rajesh Kumar Tiwari
Publisher: Springer Nature
ISBN: 3031373030
Category : Artificial intelligence
Languages : en
Pages : 340

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Book Description
This book constitutes selected papers presented at the First International Conference on Artificial Intelligence and Internet of Things, ICAII 2022, held in Jamshedpur, India. ICAII 2022 has been postponed to April 2023. The 23 papers were thoroughly reviewed and selected from the 86 submissions. They are arranged in topical sections on artificial Intelligence, and Internet of Things.