Explainable Machine Learning for Geospatial Data Analysis, Kamusoko, Courage
Автор: Kraak, Menno-Jan , Ormeling, Ferjan Название: Cartography ISBN: 0367507749 ISBN-13(EAN): 9780367507749 Издательство: Taylor&Francis Рейтинг: Цена: 46950.00 T Наличие на складе: Есть у поставщика Поставка под заказ. Описание: This fourth edition serves as an excellent introduction to general cartographic principles and as an examination of the best ways to optimize the visualization and use of spatio-temporal data. It discusses the art, science, and technology of making and using maps, and also examines the societal and institutional framework related to mapmaking.
Автор: Aithal, Bharath H., Название: Building feature extraction with machine learning : ISBN: 1032255331 ISBN-13(EAN): 9781032255330 Издательство: Taylor&Francis Рейтинг: Цена: 83690.00 T Наличие на складе: Нет в наличии. Описание: This book focuses on feature extraction methods for optical geospatial data using Machine Learning (ML). It is a practical guide for professionals and graduate students starting a career in information extraction. It explains spatial feature extraction in an easy-to-understand way and includes real case studies.
Автор: Kraak, Menno-Jan , Ormeling, Ferjan Название: Cartography ISBN: 1138613959 ISBN-13(EAN): 9781138613959 Издательство: Taylor&Francis Рейтинг: Цена: 117390.00 T Наличие на складе: Нет в наличии. Описание: This fourth edition serves as an excellent introduction to general cartographic principles and as an examination of the best ways to optimize the visualization and use of spatio-temporal data. It discusses the art, science, and technology of making and using maps, and also examines the societal and institutional framework related to mapmaking.
Автор: Nagrath, Preeti Название: Smart Distributed Embedded Systems for Healthcare Applications ISBN: 1032183470 ISBN-13(EAN): 9781032183473 Издательство: Taylor&Francis Рейтинг: Цена: 137810.00 T Наличие на складе: Есть у поставщика Поставка под заказ. Описание: This book discusses the applications and optimization of emerging smart technologies in the field of healthcare. It further explains different modeling scenarios of the latest technologies in the healthcare system and compares the results to better understand the nature and progress of diseases in the human body, which would ultimately lead to early diagnosis and better treatment and cure of diseases with the help of distributed technology. Covers the implementation models using technologies such as artificial intelligence, machine learning, and deep learning with distributed systems for better diagnosis and treatment of diseases.
Gives in-depth review of technological advancements like advanced sensing technologies such as plasmonic sensors, usage of RFIDs, and electronic diagnostic tools in the field of healthcare engineering. Discusses possibilities of augmented reality and virtual reality interventions for providing unique solutions in medical science, clinical research, psychology, and neurological disorders. Highlights the future challenges and risks involved in the application of smart technologies such as cloud computing, fog computing, IOT, and distributed computing in healthcare.
Confers to utilize the AI and ML and associated aids in healthcare sectors in the post-Covid 19 period to revitalize the medical setup. Contributions included in the book will motivate technological developers and researchers to develop new algorithms and protocols in the healthcare field. It will serve as a vast platform for gaining knowledge regarding healthcare delivery, health- care management, healthcare in governance, and health monitoring approaches using distributed environments.
It will serve as an ideal reference text for graduate students and researchers in diverse engineering fields including electrical, electronics and communication, computer, and biomedical fields.
Автор: Kundu Sandeep Narayan Название: Geospatial Data Analytics and Urban Applications ISBN: 9811676488 ISBN-13(EAN): 9789811676482 Издательство: Springer Рейтинг: Цена: 60550.00 T Наличие на складе: Есть у поставщика Поставка под заказ. Описание: This book highlights advanced applications of geospatial data analytics to address real-world issues in urban society. Each chapter is contributed by spatially aware data scientists in the making who present spatial perspectives drawn on spatial big data.
Автор: Istomin Название: Geospatial Aspects of Managing the Development of Complex Systems ISBN: 3031331656 ISBN-13(EAN): 9783031331657 Издательство: Springer Рейтинг: Цена: 158380.00 T Наличие на складе: Есть у поставщика Поставка под заказ. Описание: The monograph presents the results of the development of the theoretical foundations of geoinformation management of the development of distributed organizational and technical systems and territories. The objectives of the research identified the main tasks to be solved: 1) conceptual analysis of the processes of geoinformation management of the development of spatially distributed natural and technical systems. 2) methodological foundations for managing the development of natural and technical systems. 3) methodological apparatus for providing geoinformation management for the development of natural and technical systems. 4) geoinformation systems for managing the development of natural and technical systems. 5) methods and models of decision-making risk management in managing the development of natural and technical systems. The results obtained allow, at subsequent stages of research, to develop decision-making methods based on geoinformation for real control systems of various levels and purposes, practical recommendations for improving geoinformation risk management for the development of territories and organizational and technical systems, as well as methods for measuring the parameters of distributed systems, territories and water areas.
Автор: Chandra Shekhar Jha et al. Название: Geospatial Technologies for Resources Planning and Management ISBN: 3030989801 ISBN-13(EAN): 9783030989804 Издательство: Springer Рейтинг: Цена: 149060.00 T Наличие на складе: Есть у поставщика Поставка под заказ. Описание: This book focuses on the application of geospatial technologies for resource planning and management for the key natural resources, e.g. water, agriculture and forest as well as the decision support system (DSS) for infrastructure development. We have seen in the past four decades that the growing complexities of sustainable management of natural resources management have been very challenging.
The book has been written to leverage the current geospatial technologies that integrate the remotely sensed data available from various platforms, the precise locational data providing geospatial intelligence, and the advanced integration tools of Geographical Information Systems (GIS). Geospatial technologies have been used for water resources management employing geomorphological characteristics, analysis of river migration pattern, understanding the large-scale hydrological process, wet land classification and monitoring, analysis of glacial lake outburst flood (GLOF), assessment of environmental flow and soil erosion studies, water quality modelling and assessment and rejuvenation of paleochannels through groundwater recharge. Geospatial technologies have been applied for crop classification and mapping, soil moisture determination using RISAT-1 C-band and PALSAR-2 L-band sensors, inventory of horticulture plantations, management of citrus orchards, crop yield forecasting, rice yield estimation, estimation of evapotranspiration and its evaluation against lysimeter and satellite-based evapotranspiration product for India to address the various issues of the agricultural system management.
Geospatial technologies have been used for generation of digital elevation model, urban dynamics assessment, mobile GIS application at grass root level planning, cadastral level developmental planning and e-governance applications, system dynamics for sustainable development, micro-level water resources planning, site suitability for sewage treatment plant, traffic density assessment, geographical indications of India, archaeological applications and disasters interventions to elaborate various issues of DSS for infrastructure development and management. Geospatial technologies have been employed for the generation and reconciliation of the notified forest land boundaries, and also the land cover changes analysis within notified forest areas, forest resource assessment, management and monitoring and wildlife conservation and management. This book aims to present high-quality technical case studies representing the recent developments in the "application of geospatial technologies for resource planning and management".
The editors hope that this book will serve as a valuable resource for scientists and researchers to plan and manage land and water resources sustainably.
Автор: Durbha, Surya S Название: Advances in Scalable and Intelligent Geospatial Analytics ISBN: 1032200316 ISBN-13(EAN): 9781032200316 Издательство: Taylor&Francis Рейтинг: Цена: 137810.00 T Наличие на складе: Есть у поставщика Поставка под заказ. Описание: 1. Demonstrates the recent advances in geospatial analytics tools, technologies, and algorithms. 2.
Provides insight and direction to the geospatial community regarding the future trends in scalable and intelligent geospatial analytics. 3. Exhibits recent geospatial applications and demonstrates innovative ways to use big geospatial data to address various domain-specific, real-world problems.
4. Recognizes the analytical and computational challenges posed and opportunities provided by the increased volume, velocity, and veracity of geospatial data.
Автор: Hassan Abdishakur, Vijayaraghavan Jayakrishnan Название: Geospatial Data Science Quick Start Guide ISBN: 178980941X ISBN-13(EAN): 9781789809411 Издательство: Неизвестно Рейтинг: Цена: 40450.00 T Наличие на складе: Есть у поставщика Поставка под заказ. Описание: This book will help you leverage the power of data analysis and apply it to location and geospatial data to gain interesting insights. It presents useful tools and location intelligence techniques in Python to implement geospatial analytics from scratch.
Автор: Sreedharan Название: Explainable Human-AI Interaction ISBN: 303103757X ISBN-13(EAN): 9783031037573 Издательство: Springer Рейтинг: Цена: 51230.00 T Наличие на складе: Есть у поставщика Поставка под заказ. Описание: To do this effectively, AI agents need to go beyond planning with their own models of the world, and take into account the mental model of the human in the loop. At a minimum, AI agents need approximations of the human`s task and goal models, as well as the human`s model of the AI agent`s task and goal models.
Автор: Raval, Mehul S Название: Explainable AI in Healthcare ISBN: 1032367113 ISBN-13(EAN): 9781032367118 Издательство: Taylor&Francis Рейтинг: Цена: 100030.00 T Наличие на складе: Есть у поставщика Поставка под заказ.
Автор: Hugo Jair Escalante; Sergio Escalera; Isabelle Guy Название: Explainable and Interpretable Models in Computer Vision and Machine Learning ISBN: 3319981307 ISBN-13(EAN): 9783319981307 Издательство: Springer Рейтинг: Цена: 93160.00 T Наличие на складе: Есть у поставщика Поставка под заказ. Описание:
This book compiles leading research on the development of explainable and interpretable machine learning methods in the context of computer vision and machine learning.Research progress in computer vision and pattern recognition has led to a variety of modeling techniques with almost human-like performance. Although these models have obtained astounding results, they are limited in their explainability and interpretability: what is the rationale behind the decision made? what in the model structure explains its functioning? Hence, while good performance is a critical required characteristic for learning machines, explainability and interpretability capabilities are needed to take learning machines to the next step to include them in decision support systems involving human supervision. This book, written by leading international researchers, addresses key topics of explainability and interpretability, including the following: · Evaluation and Generalization in Interpretable Machine Learning· Explanation Methods in Deep Learning· Learning Functional Causal Models with Generative Neural Networks· Learning Interpreatable Rules for Multi-Label Classification· Structuring Neural Networks for More Explainable Predictions· Generating Post Hoc Rationales of Deep Visual Classification Decisions· Ensembling Visual Explanations· Explainable Deep Driving by Visualizing Causal Attention· Interdisciplinary Perspective on Algorithmic Job Candidate Search· Multimodal Personality Trait Analysis for Explainable Modeling of Job Interview Decisions · Inherent Explainability Pattern Theory-based Video Event Interpretations
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