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Proceedings of Sixth International Conference on Soft Computing for Problem Solving, 1st ed. 2017 SocProS 2016, Volume 2 Advances in Intelligent Systems and Computing Series, Vol. 547

Langue : Anglais
Couverture de l’ouvrage Proceedings of Sixth International Conference on Soft Computing for Problem Solving

This two-volume book gathers the proceedings of the Sixth International Conference on Soft Computing for Problem Solving (SocProS 2016), offering a collection of research papers presented during the conference at Thapar University, Patiala, India. Providing a veritable treasure trove for scientists and researchers working in the field of soft computing, it highlights the latest developments in the broad area of ?Computational Intelligence? and explores both theoretical and practical aspects using fuzzy logic, artificial neural networks, evolutionary algorithms, swarm intelligence, soft computing, computational intelligence, etc.

Spammer Classification using Ensemble Methods over Content-Based Features.- A Modified BPDHE Enhancement Algorithm for Low Resolution Images.- Opposition aided Artificial Bee Colony Algorithm for Digital IIR Filter Design.- Cost Optimization of 2-Way Ribbed Slab Using Hybrid Self Organizing Migrating Algorithm.- A Complete Ontological survey of Cloud Forensic in the area of Cloud Computing.- Optimal Path Determination in a Survivable Virtual Topology of an Optical Network using Ant Colony Optimization.- Parameter Optimization for H.265/HEVC encoder using NSGA II.- PSO Based Context Sensitive Thresholding Technique for Automatic Image Segmentation.- Script Identification from Offline Handwritten Characters using Combination of Features.- Multi-Parameter Retrieval in a Porous Fin using Bi-nary-Coded Genetic Algorithm.- Effectiveness of Constrained Laplacian Biogeography Based Optimization for solving Structural Engineering Design Problems.- Soft Computing Based Software Testing – A Concise Travelogue.- Detection and Mitigation of spoofing attacks by using SDN in LAN.- Landslide Early Warning System Development using Statistical Analysis ofSensors’ Data at Tangni Landslide, Uttarakhand, India.- Wearable Haptic Based Pattern Feedback Sleeve System.- Job Scheduling algorithm in cloud environment considering the priority and cost of job.- Automatic Location of Blood Vessel Bifurcations in Digital Eye Fundus Images.- Recommendation System with Sentiment Analysis as Feedback Component.- A second order non-uniform mesh discretization for the numerical treatment of singular two-point boundary value problems with integral forcing function.

Prof. Kusum Deep is a Professor at the Department of Mathematics, Indian Institute of Technology Roorkee, India. Over the past 25 years, her research has made her a central international figure in the area of Nature Inspired Optimization Techniques, Genetic Algorithms and Particle Swarm Optimization. 

Dr. Jagdish Chand Bansal is an Assistant Professor with South Asian University, New Delhi, India. Holding an excellent academic record, he is an outstanding researcher in the field of Swarm Intelligence at the national and international level, having written several research papers in journals of national and international repute. 

Dr. Kedar Nath Das is an Assistant Professor at the Department of Mathematics, National Institute of Technology, Silchar, Assam, India. Over the past 10 years, he has made substantial contributions to research on ‘soft computing’. He has published several research papers in prominent national and international journals. His chief area of interest is in evolutionary and bio-inspired algorithms for optimization. 

Dr. Arvind Kumar Lal is currently associated with the School of Mathematics and Computer Applications at Thapar University, Patiala. He received his BSc. Honors (mathematics) and MSc. (mathematics) from Bihar University, Muzaffarpur in 1984 and 1987, respectively. He completed his PhD (mathematics) at the University of Roorkee (now the IIT, Roorkee) in 1995. Dr. Lal has over 130 publications in journals and conference proceedings to his credit. His research areas include applied mathematics (modeling of stellar structure and pulsations), reliability analysis and numerical analysis. 

Dr. Harish Garg is an Assistant Professor at the School of Mathematics at Thapar University, Patiala, Punjab, India. He received his BSc. (computer applications) and MSc. (Mathematics) from Punjabi University, Patiala before completing his PhD (applied mathematics) at the Indian Institute of Technology Roorke

Presents rich and authentic contributions on various areas of computational intelligence

Includes discussions on a wide range of industrial, engineering, and scientific applications of natural computing

Includes invited papers from the inventors/originators of computational techniques, helping readers understand the key concepts

Includes supplementary material: sn.pub/extras

Date de parution :

Ouvrage de 406 p.

15.5x23.5 cm

Disponible chez l'éditeur (délai d'approvisionnement : 15 jours).

158,24 €

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