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TitleSoft Computing for Problem Solving [electronic resource] : SocProS 2017, Volume 2 / edited by Jagdish Chand Bansal, Kedar Nath Das, Atulya Nagar, Kusum Deep, Akshay Kumar Ojha
ImprintSingapore : Springer Singapore : Imprint: Springer, 2019
Edition 1st ed. 2019
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Descript XVII, 991 p. 397 illus., 240 illus. in color. online resource


This two-volume book presents outcomes of the 7th International Conference on Soft Computing for Problem Solving, SocProS 2017. This conference is a joint technical collaboration between the Soft Computing Research Society, Liverpool Hope University (UK), the Indian Institute of Technology Roorkee, the South Asian University New Delhi and the National Institute of Technology Silchar, and brings together researchers, engineers and practitioners to discuss thought-provoking developments and challenges in order to select potential future directions The book presents the latest advances and innovations in the interdisciplinary areas of soft computing, including original research papers in the areas including, but not limited to, algorithms (artificial immune systems, artificial neural networks, genetic algorithms, genetic programming, and particle swarm optimization) and applications (control systems, data mining and clustering, finance, weather forecasting, game theory, business and forecasting applications). It is a valuable resource for both young and experienced researchers dealing with complex and intricate real-world problems for which finding a solution by traditional methods is a difficult task


A Multiscale Retinex with Colour Restoration (MSR-CR) Technique For Skin Cancer Detection -- Efficient License Plate Recognition System with Smarter Interpretation Through IoT -- Image Captioning Based Image Search Engine: An Alternative to Retrieval by Metadata -- Demand Side Management of a Commercial Customer Based on ABC Algorithm -- Trapezoidal Intuitionistic Fuzzy Fractional Transportation Problem -- How Delay Can Affect the Survival of Species in Polluted Environment -- Local Invariant Features Based Gender Recognition from Facial Images -- Enhancing Saliency of a Target Object Through Color Modification of Every Object Using Genetic Algorithm

Engineering Artificial intelligence Computational Intelligence. Signal Image and Speech Processing. Artificial Intelligence.


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