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Soft computing for problem solving =...

International Conference on Soft Computing for Problem Solving (2020 :)

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Soft computing for problem solving = proceedings of SocProS 2020.. Volume 2 /

紀錄類型:	書目-電子資源 : Monograph/item
正題名/作者:	Soft computing for problem solving/ edited by Aruna Tiwari ... [et al.].
其他題名:	proceedings of SocProS 2020.
其他題名:	SocProS 2020
其他作者:	Tiwari, Aruna.
團體作者:	International Conference on Soft Computing for Problem Solving
出版者:	Singapore :Springer Singapore : : 2021.,
面頁冊數:	xv, 781 p. :ill., digital ;24 cm.
內容註:	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.
Contained By:	Springer Nature eBook
標題:	Soft computing - Congresses. -
電子資源:	https://doi.org/10.1007/978-981-16-2712-5
ISBN:	9789811627125

Soft computing for problem solving = proceedings of SocProS 2020.. Volume 2 /
Soft computing for problem solvingproceedings of SocProS 2020.Volume 2 /[electronic resource] :SocProS 2020edited by Aruna Tiwari ... [et al.]. - Singapore :Springer Singapore :2021. - xv, 781 p. :ill., digital ;24 cm. - Advances in intelligent systems and computing,v. 13932194-5365 ;. - Advances in intelligent systems and computing ;v. 1393..

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.

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.

ISBN: 9789811627125

Standard No.: 10.1007/978-981-16-2712-5doiSubjects--Topical Terms:

606821
Soft computing
--Congresses.

LC Class. No.: QA76.9.S63 / I57 2020

Dewey Class. No.: 006.3

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