Soft Computing and Signal Processing
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This book presents selected research papers on current developments in the fields of soft computing and signal processing from the Second International Conference on Soft Computing and Signal Processing (ICSCSP 2019). The respective contributions address topics such as soft sets, rough sets, fuzzy logic, neural networks, genetic algorithms and machine learning, and discuss various aspects of these topics, e.g. technological considerations, product implementation, and application issues.…mehr

Produktbeschreibung
This book presents selected research papers on current developments in the fields of soft computing and signal processing from the Second International Conference on Soft Computing and Signal Processing (ICSCSP 2019). The respective contributions address topics such as soft sets, rough sets, fuzzy logic, neural networks, genetic algorithms and machine learning, and discuss various aspects of these topics, e.g. technological considerations, product implementation, and application issues.

  • Produktdetails
  • Advances in Intelligent Systems and Computing 1118
  • Verlag: Springer / Springer, Berlin
  • Artikelnr. des Verlages: 978-981-15-2474-5
  • 1st ed. 2020
  • Seitenzahl: 796
  • Erscheinungstermin: 14. März 2020
  • Englisch
  • Abmessung: 235mm x 155mm x 42mm
  • Gewicht: 1158g
  • ISBN-13: 9789811524745
  • ISBN-10: 9811524742
  • Artikelnr.: 58353598
Autorenporträt
V. Sivakumar Reddy is Professor at the Department of Electronics and Communication Engineering, Malla Reddy College of Engineering and Technology. He completed his B.E. in Electronics and Communication Engineering from S.V. University, his M.Tech. in Digital Systems at JNT University and his Ph.D. in Electronics & Communication Engineering at IIT Kharagpur. His areas of research interest include computer networks and communication, video processing, multi-media system design, operating systems and TCP/IP networks & protocols. He has published more than 100 papers in peer-reviewed journals and conference proceedings in these areas. He is a member of several academic bodies, such as IETE, IEEE, ISTE and CSI. He is also a reviewer for several IEEE journals. V. Kamakshi Prasad completed his Ph.D. in speech recognition at the Indian Institute of Technology Madras and his M.Tech. in Computer Science & Technology at Andhra University in 1992. He has more than 20 years of teaching and research experience. His areas of research and teaching interest include speech recognition and processing, image processing, pattern recognition, ad-hoc networks and computer graphics. He has published several books, chapters, research papers in peer-reviewed journals and conference proceedings. He is also an editorial board member of the International Journal of Wireless Networks and Communications and a member of several academic committees. Jiacun Wang received a Ph.D. in Computer Engineering from Nanjing University of Science and Technology (NJUST), China, in 1991. He is currently a Professor at the Computer Science and Software Engineering Department at Monmouth University, West Long Branch, New Jersey. From 2001 to 2004, he was a member of scientific staff at Nortel Networks in Richardson, Texas. Prior to joining Nortel, he was a research associate at the School of Computer Science, Florida International University (FIU) at Miami and an Associate Professor at NJUST. He has published numerous books and research papers and is an Associate Editor of several international journals. He has also served as program chair, program co-chair, special sessions chair and program committee member for several international conferences. He is the secretary of the Organizing and Planning Committee of the IEEE SMC Society and has been a senior member of IEEE since 2000. K T V Reddy, an Alumni of IIT Bombay, is presently working as a Campus Director and Principal, Pravara Educational Society's "Pravara Technical Education Campus, SirVisvesvaraya Institute of Technology (SVIT) Nashik". He was the former Director at PSIT Kanpur. During his teaching career at Fr C Rodrigues Institute of Technology (FCRIT), Vashi, he cultivated, promoted and developed the Dept. of ET to the extent that it started being considered as one of the best institutes under University of Mumbai. His systematic approach in documentation helped FCRIT to get its due accreditation. He introduced post-graduation courses at Terna Engineering College, Nerul, and Padmabhusan Vasantdada Patil Prathishan's College of Engineering, Sion, Mumbai, as its Principal. He published over 100 papers in the national and international journals and conferences, delivered over 200 invited talks and organized over 150 conferences/workshops. Dr. Reddy is a fellow member of IETE, senior member of IEEE and life member of ISTE, ACM, and CSI. He has organized several international and national conferences/workshops.
Inhaltsangabe
Word2Vec and Evolutionary Computing driven Hybrid Deep Learning based Sentiment Analysis.- Online Information and Grouping of Facebook Users.- Innovative secure authentication interface for Hadoop cluster using DNA cryptography: A practical study.- Human Activity Recognition in Imbalanced Big Data using Fuzzy Rule-Based Classification System.- Early Detection of Hemiplegia by Analyzing the Gait Characteristics and Walking Patterns using Convolutional Neural Networks.- Twin-Security Model- A Machine Learning based approach for DDoS Security in SDN.- Enhancement in Data Security Using DNA Cryptography.- Internet of Things: An Overview.- A Fuzzy-Neuro Based Clinical Decision Support System for Disease Diagnosis Using Symptom Severity.- Analysis of Patients Reviews and Enhancing Services in Hospitals.- Human Pose Estimation and ActivityClassification using Machine Learning Approach.- Implementation of Interpolation in Credit Card Fraud Detection.- A Statistical-Semantic PSO model for Customer Reviews based Question Answer Systems.- Low cost IoT based Spirometer Device with Silicon Pressure Sensor.- Recommending research article based on user queries using Latent Dirichlet Allocation.- An Applied Time Series Forecasting Model for Yield Prediction of Agricultural Crop.- Design and Implementation of the Protocol forSecure Software-Based Remote Attestation inIoT Devices.- Label assignment and sentimental analysis for a product review on Twitter data.- Preserving the Privacy of Audio le using IdealSecret Sharing Scheme with Cloud Storage.- Hadoop Performance Acceleration by Effective Data and Job Placement.- Modified Quick Fuzzy Hypersphere NeuralNetwork for Pattern Classi cation using Supervised Clustering.- Third Eye : Assistance for Reading Disability.- Enhanced Attach Procedure for Prevention of Authentication Synchronization Failure Attack.- Static Load Balancing Algorithms in Cloud Computing: Challenges and Solutions.- A Survey on Text Question Responsive Systems in English and Indian Languages.- Vehicle Type Classification Using Deep Learning.- Deep learning approach: Detection of replayattack in ASV systems.- Acoustic Scene Classification using Convolutional Neural Network.- Classification of Microscopic algae: an observational study with AlexNet.- A novel true colour Image bit modification Technique for Image Steganography.- A GRU based Neural Machine Translation followed by Proper Noun Transliteration.- A Novel approach using Support Vector Machine for outlier removal and Multilayer Perceptron in Classifying Medical Datasets.- Automatic speech recognition using deep neural Network.- A Novel Hybridized Strategy for Machine Translation for Indian Languages.- On Efficient Prediction of Indian Stock Indices using ELM based Technique.- Automatic Representative Framelets selection for human action recognition in surveillance videos.- Fuzzy Assisted PLS Regression for Enhancing Quantification Efficiency of Electronic Nose.- Wavelet Assisted Phase Space Analysis for Improved VOCs Discrimination Using SAW Sensor Transients.- Network Simulation & Performance Analysis using Riverbed Modeler.- An Enhanced Low Duty Cycle MAC protocol for Wireless Sensor Networks.- CHAR:A Novel Cloud based live health Augmented Reality Framework.- Strawberry Leaf Diseases Detection and Suggestion for Pesticides Using Articial Neural Network.- Real Time Suspicious Activity Detection.- Modeling the Chandrayaan-1 Hyperspectral (HySI) Data for Mineral Mixing Analysis.- Implementation of the Bi-Directional Reflectance Function for modeling the spectra derived from Hyperspectral Images.- Stereo Vision Based Path Planning System for an Autonomous Harvester.- Ontology Driven Clinical Data Analyzer Of Skin Diseases Based On SVM.- Age Group Estimation from Human Iris.- LabVIEW Based Virtual Laboratories for Electrical Engineering Education with Real Time Implementation.- Hybrid Features based Efficient Radar Target Classification using Support Vector Machine.- A Mac