Soft Computing For Problem Solving - Tiwari Aruna (Curatore); Ahuja Kapil (Curatore); Yadav Anupam (Curatore); Bansal Jagdish Chand (Curatore); Deep Kusum (Curatore); Nagar Atulya K. (Curatore) | Libro Springer 10/2021 -

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tiwari aruna (curatore); ahuja kapil (curatore); yadav anupam (curatore); bansal jagdish chand (curatore); deep kusum (curatore); nagar atulya k. (curatore) - soft computing for problem solving

Soft Computing for Problem Solving Proceedings of SocProS 2020, Volume 2

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Lingua: Inglese


Pubblicazione: 10/2021
Edizione: 1st ed. 2021


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.


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.


Dr. Aruna Tiwari is Associate Professor in Computer Science & Engineering at IIT Indore, India.  Her all degrees B.Tech., M.Tech., Ph.D. are in Computer Science & Engineering from SGSITS Indore. She has more than 20 years of research experience in the areas such as artificial intelligence, machine learning, and soft-computing. Her work is around artificial neural networks, fuzzy clustering, evolutionary computation and their applications to bioinformatics, and medical diagnosis. Her research directions are toward the design of intelligent computing algorithms for classification, clustering, and feature selection which can handle big data. She has more than 30 journal publications of international repute including more than 5 IEEE transactions and Elsevier journals of high impact factor and has published more than fifty research articles in the ranked conferences.  She has established a big data handling lab in IIT Indore which is funded by Council of Science & Industrial Research (CSIR) Government of India in 2017.  She has enabled two MOUs, collaborating with Indian Institute of Soybean Research, Indore, and CSIR-Central Electronics Engineering Research Institute, Pilani.  She has recently initiated a consortium project on Artificial Intelligence which is approved from Ministry of Electronics & Information Technology (MeitY) Government of India. There are seven PhDs and more than 25 masters awarded under her guidance.
Dr. Kapil Ahuja holds master’s and Ph.D. degrees in Mathematics and Computer Science (from Virginia Tech, USA) and has a strong interdisciplinary focus. After graduating earlier this decade from VT, he received his postdoctoral training from the Max Planck Institute in Magdeburg (Germany). Since then, he has established his independent research program in Mathematics of Data Science and Computational Science at IIT Indore, where he is currently working as Associate Professor. Dr. Ahuja is solving challenging problems that are at both the ends of the research spectrum, i.e., theoretical as well as applicable. His core research interests are in artificial intelligence, machine learning, numerical methods, and optimization. He believes that it is necessary to collaborate globally to solve challenging research problems. Hence, he has multiple active international research collaborations (USA, Germany, India, France, and UK). In the recent past, he has also held visiting professor positions at TU Braunschweig (Germany), TU Dresden (Germany), and Sandia National Labs (USA). Dr. Ahuja's overall research output includes thirty publications (including eighteen in reputed journals) as well as external funding worth more than half-a-million USD from twelve projects. While achieving this, he has graduated two Ph.D. students with three more to graduate soon. Since teaching and service are essential for a fruitful and satisfying research career, he is very committed to these aspects as well. Dr. Ahuja has received the Best Teacher Award four times at IIT Indore. In the past, he has held many administrative positions. Since the past three years, he is heading International Affairs at IIT Indore as Founding Dean for the same.
Dr. Anupam Yadav is Assistant Professor in the Department of Mathematics at Dr. BR Ambedkar National Institute of Technology Jalandhar, India. His research area includes numerical optimization, soft computing, and artificial intelligence, he has more than ten years of research experience in the areas of soft computing and optimization. Dr. Yadav has done Ph.D. in soft computing from Indian Institute of Technology Roorkee, and he worked as Research Professor at Korea University. He has published more than twenty-five research articles in journals of international repute and has published more than fifteen research articles in conference proceedings. Dr. Yadav has authored a text book entitled “An introduction to neural network methods for differential equations”. He has edited three books which are published by AISC, Springer Series. Dr. Yadav was General Chair, Convener, and Member of steering committee of several international conferences. He is Associate Editor in the journal of the experimental and theoretical artificial intelligence. Dr. Yadav is Member of various research societies.
Dr. Jagdish Chand Bansal is Associate Professor at South Asian University, New Delhi, and Visiting Faculty at Maths and Computer Science, Liverpool Hope University, UK. Dr. Bansal has obtained his Ph.D. in Mathematics from IIT Roorkee. Before joining SAU, New Delhi, he has worked as Assistant Professor at ABV Indian Institute of Information Technology and Management Gwalior and BITS Pilani. His primary area of interest is swarm intelligence and nature-inspired optimization techniques. Recently, he proposed a fission–fusion social structure-based optimization algorithm, spider monkey optimization (SMO), w

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Altre Informazioni



Condizione: Nuovo
Collana: Advances in Intelligent Systems and Computing
Dimensioni: 235 x 155 mm Ø 1205 gr
Formato: Brossura
Illustration Notes:109 Illustrations, black and white
Pagine Arabe: 781
Pagine Romane: xv

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