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Record Nr. |
UNINA9910830598203321 |
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Titolo |
Climate impacts on sustainable natural resource management / / edited by Pavan Kumar [and four others] |
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Pubbl/distr/stampa |
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Hoboken, New Jersey : , : John Wiley & Sons, , [2022] |
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©2022 |
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ISBN |
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1-119-79339-4 |
1-119-79340-8 |
1-119-79338-6 |
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Descrizione fisica |
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1 online resource (382 pages) |
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Disciplina |
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Soggetti |
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Natural resources management areas |
Climatic changes |
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Lingua di pubblicazione |
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Formato |
Materiale a stampa |
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Livello bibliografico |
Monografia |
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Nota di bibliografia |
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Includes bibliographical references and index. |
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Nota di contenuto |
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Impact of local REDD+ intervention on greenhouse gas emissions in East Kalimantan Province, Indonesia -- Role of geospatial technologies in natural resource management -- Estimation of snow cover area using microwave SAR dataset -- Forest cover change detection across recent three decades in Persian oak forests using convolutional neural network -- The interlinked mechanisms of productivity for developing process-based forest growth models -- Allometric equations for the estimation of biomass and carbon in the sub-tropical pine forests of India -- Characterization of stress-prone areas for dissemination of suitable rice varieties and its adoption in eastern India : an integrated approach towards food security -- Farmer's perspective and adaptation efforts to tackle the impacts of climate change -- Multicriteria drought severity analysis in monaragala district Sri Lanaka by utilizing remote sensing and GIS -- Comparative evaluation of predicted hydrologic response under two extremities of sustainability using transformed landuse-landcover and cordex-based climatic scenarios : a case study of Kangshabati river basin, West Bengal -- Riverine health a function of riverscape variable : a case study of river Ganga in Varanasi -- Socio-economic impacts of climate change -- The role of political economy in |
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the making of a vulnerable environment in the age of climate change : a Kerala experience -- Land use/land cover (LULC) changes in Cameron Highland, Malaysia : explore the impact of the LULC change on land surface temperature (LST) using remote sensing -- Emerging roles of osmoprotectants in alleviating abiotic stress response under changing climatic conditions -- Growth variability of conifers in temperate region of western Himalayas -- Process-based carbon sequestration study with reference to the energy-water-carbon flux in a forest ecosystem. |
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Sommario/riassunto |
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"This book covers significant and updated contribution in the field of sustainable natural resources management linked to climate change. The updated knowledge from countries like India, Indonesia, Japan, Malaysia, Sri Lanka, and the USA is presented in this book through selected case studies for major thematic areas that have basic preliminary concepts and elaborates the scientific understanding of the relationship between natural resources and climatic drivers, influence of climate change on agriculture, forest, water resources, etc. The book has been separated into six major themes each having subject-specific chapters to develop the concept and to present the findings in a lucid way that is useful for a wide range of readers. While the range of applications and innovative techniques is constantly increasing, this book provides a summary of key case studies to provide the most updated information. Chapters incorporate multi-source data and information that offer critical understanding to explain the causes and effects of environmental changes linked to natural resource management. This book will be of interest to researchers and practitioners in the field of environmental sciences, remote sensing, geographical information, meteorology, sociology and policy studies, etc. related to natural resource management and climate change. Also, scientists and graduate and post-graduate level students of various disciplines will find valuable information in this book. Webelieve that the book would be read by people with a common interest in sustainable development and other diverse backgrounds within earth observation"-- |
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2. |
Record Nr. |
UNINA9910629283103321 |
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Titolo |
Rough Sets : International Joint Conference, IJCRS 2022, Suzhou, China, November 11–14, 2022, Proceedings / / edited by JingTao Yao, Hamido Fujita, Xiaodong Yue, Duoqian Miao, Jerzy Grzymala-Busse, Fanzhang Li |
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Pubbl/distr/stampa |
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Cham : , : Springer Nature Switzerland : , : Imprint : Springer, , 2022 |
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ISBN |
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Edizione |
[1st ed. 2022.] |
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Descrizione fisica |
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1 online resource (445 pages) |
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Collana |
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Lecture Notes in Artificial Intelligence, , 2945-9141 ; ; 13633 |
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Disciplina |
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Soggetti |
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Artificial intelligence |
Data mining |
Social sciences - Data processing |
Artificial Intelligence |
Data Mining and Knowledge Discovery |
Computer Application in Social and Behavioral Sciences |
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Lingua di pubblicazione |
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Formato |
Materiale a stampa |
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Livello bibliografico |
Monografia |
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Nota di bibliografia |
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Includes bibliographical references and index. |
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Nota di contenuto |
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Invited Papers, IRSS President Forum -- Orthopartitions in Knowledge Representation and Machine Learning -- Rough Sets and Fuzzy Sets in Interactive Granular Computing -- MGCC: Multi-Granularity Cognitive Computing -- Three-way decision, three-world conception, and explainable AI -- Rough set theory and applications -- scikit-weak: A Python library for Weakly Supervised Machine Learning -- Applying Rough Set Theory for Digital Forensics Evidence Analysis -- Binary boundaries and power set space of graded rough sets and their correlative ECG (Electrocardiogram) data analysis -- Neighborhood Approximate Reducts-based Ensemble Learning Algorithm and Its Application in Software Defect Prediction -- Granular computing and applications -- USV Path Planning Based on Adaptive Fuzzy Reward -- A Naive Bayes Classifier Based on Neighborhood Granulation -- Matrix representations and interdependency on an L-fuzzy covering-based rough set -- Uncertainty-aware Deep Open-set Object Detection -- Classification and deep learning -- Rule Acquisition in Generalized |
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One-sided Decision Systems -- Density peak clustering based split-and-merge -- Multi-label feature extraction with distance-based graph attention network -- Multi-scale Subgraph Contrastive Learning for Link Prediction -- Video Object Detection with MeanShift Tracking -- MP-KMeans: K-Means with Missing Pattern for Data of Missing Not at Random -- Conceptual Knowledge Discovery and Machine Learning Based on Three-way Decisions and Granular Computing -- Using User’s Expression Propensity for Sarcasm Detection based on Sequential Three-way Decision -- Concept Reduction of Object-induced Three-way Concept Lattices -- An Attention-Based Token Pruning Method for Vision Transformers -- Three-way approximate criterion reduction in multi-criteria decision analysis -- Close Contact Detection in Social Networksvia Possible Attribute Analysis -- Uncertainty in Three-way Decisions, Granular Computing, and Data Science -- A Probabilistic Approach to Analyzing Agent Relations in Three-Way Conflict Analysis Based on Bayesian Confirmation -- Hierarchical multi-granulation sequential three-way decisions -- KNN Ensemble Learning Integration Algorithm based on Three-way Decision -- Attribute Reduction of Crisp-Crisp Concept Lattices Based on Three-Way Decisions -- Kernelized Fuzzy Rough Sets-based Three-Way Feature Selection -- Adaptive K-means Algorithm Based on Three-Way Decision -- 3WS-ITSC: Three-Way Sampling on Imbalanced Text Data for Sentiment Classification -- Rough-Fuzzy Clustering based on Adaptive Weighted Values and Three-way Decisions. |
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Sommario/riassunto |
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This book constitutes the proceedings of the International Joint Conference on Rough Sets, IJCRS 2022, held in Suzhou, China, in November 2022. The 28 full papers included in this book were carefully reviewed and selected from 42 submissions. They were organized in topical sections as follows: Invited papers, IRSS President Forum; rough set theory and applications; granular computing and applications; classification and deep learning; conceptual knowledge discovery and machine learning based on three-way decisions and granular computing; uncertainty in three-way decisions; granular computing, and data science. |
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