001461148 000__ 07030cam\a22006857a\4500 001461148 001__ 1461148 001461148 003__ OCoLC 001461148 005__ 20230502014307.0 001461148 006__ m\\\\\o\\d\\\\\\\\ 001461148 007__ cr\un\nnnunnun 001461148 008__ 230318s2023\\\\si\\\\\\o\\\\\100\0\eng\d 001461148 019__ $$a1373231771 001461148 020__ $$a9789811964060$$q(electronic bk.) 001461148 020__ $$a9811964068$$q(electronic bk.) 001461148 020__ $$z9789811964053 001461148 020__ $$z981196405X 001461148 0247_ $$a10.1007/978-981-19-6406-0$$2doi 001461148 035__ $$aSP(OCoLC)1373348807 001461148 040__ $$aEBLCP$$beng$$cEBLCP$$dGW5XE$$dYDX$$dEBLCP$$dOCLCF 001461148 049__ $$aISEA 001461148 050_4 $$aQA76.9.S63 001461148 08204 $$a006.3$$223/eng/20230323 001461148 1112_ $$aInternational Conference on Soft Computing, Optimization Theory and Applications$$d(2021 :$$cOnline) 001461148 24510 $$aSoft somputing and optimization :$$bSCOTA 2021, Ranchi, India, March 26-27 /$$cSyeda Darakhshan Jabeen, Javid Ali, Oscar Castillo, editors. 001461148 2463_ $$aSCOTA 2021 001461148 260__ $$aSingapore :$$bSpringer,$$c2023. 001461148 300__ $$a1 online resource (362 p.). 001461148 4901_ $$aSpringer Proceedings in Mathematics and Statistics ;$$vv. 404 001461148 500__ $$a3.1 Gradient-Based Learning Methods 001461148 5050_ $$aIntro -- Preface -- Acknowledgements -- Contents -- Classification of MRI Images for Detecting Alzheimer's Disease Using Convolutional Neural Network -- 1 Introduction -- 2 Related Works -- 3 Materials and Methods -- 3.1 Dataset Description -- 4 Proposed Methodology -- 4.1 Proposed Convolutional Neural Networks (CNNs) Architecture -- 5 Simulation Results and Discussion -- 6 Conclusion -- References -- Optimum Over Current Relays Coordination for Radial Distribution Networks Using Soft Computing Techniques -- 1 Introduction -- 1.1 Contribution -- 1.2 Paper Organization 001461148 5058_ $$a2 Problem Formulation for Over Current Relay Coordination -- 3 Results and Discussion -- References -- A Review of Modified Particle Swarm Optimization Method -- 1 Introduction -- 2 Review on Inertia Weight Methods -- 3 Review on Discrete Particle Swarm Optimization -- 4 Review on Parallel Particle Swarm Optimization -- 4.1 CPU-Based Parallelization -- 4.2 GPU-Based Parallelization -- 5 Conclusion -- References -- Automated Detection of Elephant Using AI Techniques -- 1 Introduction -- 1.1 Aim and Objectives -- 1.2 Problem Statement -- 2 Literature Review -- 3 Methodology 001461148 5058_ $$a3.1 Detection of Elephant Using YOLOv3 -- 3.2 Detection of Elephant Using SSD_EfficientDet _d0_512 × 512 -- 4 Experiment -- 4.1 Experimental Setup -- 5 Results -- 6 Conclusion and Future Work -- 6.1 Conclusion -- References -- Determination of Probability of Failure of Structures Using DBSCAN and Support Vector Machine -- 1 Introduction -- 2 Sampling Procedure and Data Scaling -- 3 Nonlinear SVM -- 4 Computational Methods for Reliability Analysis -- 5 Numerical Examples -- 6 Conclusions -- References 001461148 5058_ $$aThe Ensemble of Ant Colony Optimization and Gradient Descent Technique for Efficient Feature Selection and Data Classification -- 1 Introduction -- 2 Related Work -- 3 Proposed Methodology -- 3.1 Ant Colony Optimization (ACO) -- 3.2 ACO Algorithm for Feature Selection -- 3.3 Gradient Descent Algorithm for Single-Layer Perceptron(SLP) -- 4 Experimental Results and Discussions -- 4.1 Data Set Details -- 4.2 Classification Performance Using SLP with Gradient Descent -- 4.3 Identification of Mechanical Parts -- 5 Conclusions -- References -- s-Regularity Via Soft Ideal -- 1 Introduction 001461148 5058_ $$a2 Preliminaries -- 3 Soft s-Regular Spaces -- 4 Conclusion -- References -- A Comprehensive Study on Mobile Malwares: Mobile Covert Channels-Threats and Security -- 1 Introduction -- 2 Android Malware Analysis -- 3 Covert Channel -- 3.1 Types of Covert Channels -- 3.2 Android-Based Covert Channels -- 4 Related Work -- 5 Conclusion -- References -- Overview of Incorporating Nonlinear Functions into Recurrent Neural Network Models -- 1 Introduction -- 2 A Simple Recurrent Neural Network -- 2.1 Model Architecture -- 2.2 Activation Function -- 3 Training Recurrent Neural Network 001461148 506__ $$aAccess limited to authorized users. 001461148 520__ $$aThis book collects papers presented at the Virtual International Conference on Soft Computing, Optimization Theory and Applications (SCOTA 2021), held at the Birla Institute of Technology, Mesra, Ranchi, India, from 2627 March 2021. Topics discussed in the book are on fuzzy logic, neural networks and optimization algorithms, as well as their hybrid combinations, and their application in areas such as intelligent control and robotics, pattern recognition, medical diagnosis, time series prediction and optimization of complex problems. The book highlights research on: (a) hybrid intelligent systems based on soft computing, new concepts and algorithms based on fuzzy logic and their applications, (b) theory and practice of meta-heuristics in different areas of application, (c) applications of fuzzy logic, (d) neural networks and hybrid intelligent systems in medical applications, (e) neural networks and optimization and evolutionary algorithms and their different applications and (f) applications of fuzzy logic, neural networks and meta-heuristics in pattern recognition problems. Some papers contain applications background like approximate solution of fractional differential equations via fixed-point algorithms and applications to equilibrium problems and image deburring problems. The book will be of great use to students, researchers and scientists in computer science, optimization and engineering, and those interested on computational intelligence and soft computing and their applications. . 001461148 588__ $$aOnline resource; title from PDF title page (SpringerLink, viewed March 23, 2023). 001461148 650_0 $$aSoft computing$$vCongresses. 001461148 650_0 $$aMathematical optimization$$vCongresses. 001461148 655_0 $$aElectronic books. 001461148 655_7 $$aConference papers and proceedings.$$2fast$$0(OCoLC)fst01423772 001461148 7001_ $$aJabeen, Syeda Darakhshan. 001461148 7001_ $$aAli, Javid. 001461148 7001_ $$aCastillo, Oscar,$$d1959- 001461148 77608 $$iPrint version:$$aJabeen, Syeda Darakhshan$$tSoft Computing and Optimization$$dSingapore : Springer,c2023$$z9789811964053 001461148 830_0 $$aSpringer proceedings in mathematics & statistics ;$$vv.404. 001461148 852__ $$bebk 001461148 85640 $$3Springer Nature$$uhttps://univsouthin.idm.oclc.org/login?url=https://link.springer.com/10.1007/978-981-19-6406-0$$zOnline Access$$91397441.1 001461148 909CO $$ooai:library.usi.edu:1461148$$pGLOBAL_SET 001461148 980__ $$aBIB 001461148 980__ $$aEBOOK 001461148 982__ $$aEbook 001461148 983__ $$aOnline 001461148 994__ $$a92$$bISE