Soft computing for problem solving: proceedings of SocProS 2020

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Title Statements

Full title :Soft computing for problem solving : proceedings of SocProS 2020. / Aruna Tiwari, Kapil Ahuja, Anupam Yadav, Jagdish Chand Bansal, Kusum Deep, Atulya K. Nagar, editors.

Summary

This two-volume book provides an insight into the 10th International Conference on Soft Computing for Problem Solving (SocProS 2020). This international conference is a joint technical collaboration of Soft Computing Research Society and Indian Institute of Technology Indore. The book presents the latest achievements and innovations in the interdisciplinary areas of soft computing. It brings together the researchers, engineers and practitioners to discuss thought-provoking developments and challenges, in order to select potential future directions. It covers original research papers in the areas including but not limited to algorithms (artificial immune system, artificial neural network, genetic algorithm, genetic programming and particle swarm optimization) and applications (control systems, data mining and clustering, finance, weather forecasting, game theory, business and forecasting applications). The book will be beneficial for young as well as experienced researchers dealing across complex and intricate real-world problems for which finding a solution by traditional methods is a difficult task.

Edition Statements

Publication Date:2021.

Publication Statements

Publisher(s):Springer
Place of Publication:Singapore
Language:eng
Publication Date:2021.

Notes

Includes author index.

The Physical Object

Description:1 online resource

Edition Identifiers

ISBN:9789811627125, 9811627126
DOI:10.1007/978-981-16-2712-5
oclc:on1276848260
LC Classification:QA76.9.S63
Dewey Decimal:006.3

A deep semi-supervised approach for multi-label land-cover classification under scarcity of labelled images -- Role of individual samples in Modified Possibilistic c-Means classifier for handling heterogeneity within mustard crop -- Specially Structured Flow Shop Scheduling Models with processing times as Trapezoidal Fuzzy Numbers to optimize Waiting time of Jobs -- Potential Fishing Zone Characterization in the Indian Ocean by Machine Learning Approach -- A novel method to optimize interval length for intuitionistic fuzzy time series -- Low Altitude Unmanned Aerial Vehicle For Real Time Green House Plant Disease Monitoring Using Convolutional Neural Network.