Soft Computing and Signal Processing

Proceedings of 4th ICSCSP 2021

V. Sivakumar Reddy (Redaktør) ; V. Kamakshi Prasad (Redaktør) ; Jiacun Wang (Redaktør) ; K.T.V. Reddy (Redaktør)

This book presents selected research papers on current developments in the fields of soft computing and signal processing from the Fourth International Conference on Soft Computing and Signal Processing (ICSCSP 2021). Les mer
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Vår pris: 3038,-

(Paperback) Fri frakt!
Leveringstid: Sendes innen 21 dager

This book presents selected research papers on current developments in the fields of soft computing and signal processing from the Fourth International Conference on Soft Computing and Signal Processing (ICSCSP 2021). The book covers topics such as soft sets, rough sets, fuzzy logic, neural networks, genetic algorithms and machine learning and discusses various aspects of these topics, e.g., technological considerations, product implementation and application issues.
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Forlag: Springer Verlag, Singapore
Innbinding: Paperback
Språk: Engelsk
Sider: 811
ISBN: 9789811670879
Format: 24 x 16 cm
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Data Preprocessing and finding optimal value of K for KNN Model.- Prediction of Cardiac Diseases using Machine Learning Algorithms.- A Comprehensive Approach to Misinformation Analysis and Detection of Low-Credibility News.- Evaluation of Machine Learning Algorithms for Electroencephalography based Epileptic Seizure State Recognition.- Lung Disease Detection and Classification from Chest X-Ray Images using Adaptive Segmentation and Deep Learning.- A Quantitative analysis for Breast Cancer prediction using Artificial Neural Network and Support Vector Machine.- Tracking Misleading News of COVID-19 within Social Media.- Energy aware Multi-chain PEGASIS in WSN: A Q-Learning Approach.- TEXTLYTIC: Automatic Project Report Summarization using NLP Techniques.- Management of Digital Evidence for Cybercrime Investigation- A Review.- Realtime Human Pose Detection and Recognition using Mediapipe.- Charge the Missing Data with Synthesized Data by using SN-Sync technique.- Discovery of Popular Languages from GitHub Repository: A Data Mining.- Performance Analysis of Flower Pollination Algorithms using Statistical Methods: An Overview.- Counterfactual causal analysis on structured data.- Crime Analysis Using Machine Learning.- Multi-Model Neural Style Transfer for Audio and Image (MMNST).- Feature Extraction from Radiographic Skin Cancer Data using LRCS.- Shared Filtering-Based Advice Of Online Group Voting.- Mining Challenger From Bulk Preprocessing Datasets.- Prioritized Load Balancer for minimization of VM and Data Transfer Cost in Cloud Computing.- Smart Underground Drainage Management System using Internet of Things.- Iot Based System For Health Monitoring Of Arrhythmia Patients Using Machine Learning Classification Techniques.- EHR-Sec: A Blockchain based Security System for Electronic Health.- End to End Speaker Verication For Short Utterances.- A Comprehensive Analysis on Multi-class Imbalanced Bigdata Classification.- Efficient Recommender System for Kid's Hobby using Machine Learning.- Programming Associative Memories.- Novel Associative Memories based on Spherical Seperability.- An Intelligent Fog-IoT based Disease Diagnosis Healthcare System.- Pre-processing of linguistic divergence in English- Marathi language pair in Machine Translation.- Deep Learning Approach for Image Based Plant Species Classification.- Inventory, Storage and Routing Optimization with Homogeneous Fleet in the Secondary Distribution Network Using a Hybrid VRP, Clustering and MIP Approach.- Evaluation and Comparison of various static and dynamic load balancing strategies used in cloud computing.- Dielectric Resonator Antenna with Hollow Cylinder for Wide Bandwidth.- Recent Techniques in Image Retrieval: A Comprehensive Survey.- Medical Image Fusion Based On Energy Attribute and PA-PCNN in NSST Domain.- Electrical Shift and Linear Trend artifacts removal from single channel EEG using SWT-GSTV model.- Forecasting Hourly Electrical Energy output of a Power plant using parametric models.- Cataract detection using Deep Convolutional Neural Networks.- Comparative Analysis of Body Biasing Techniques for Digital Integrated Circuits.- Optical Mark Recognition with Facial Recognition System.- Evaluation of Antenna Control System for Tracking Remote Sensing Satellites.- Face Recognition using Cascading of HOG and LBP Feature Extraction.- Design of wideband patch Antenna using metamaterial and Dielectric resonator Structures.- Call Admission Control for Interactive Multimedia Applications in 4G Networks.- AI-based Pro-Mode in Smartphone Photography.- A ML-Based Model to Quantify Ambient Air Pollutant.- Multimodal biometric system using Undecimated Dual-Tree Complex Wavelet Transform.- Design of Modified Dual - Coupled Linear Congruential Generator Method Architecture for Pseudorandom Bit Generation.- Performance Analysis of PAPR and BER in FBMC-OQAM With Low-complexity Using Modified Fast Convolution.- Sign Language Recognition using Convolution Neural Network.- Key Based Obfuscation of Digital Design for Hardware Security.- IOT based Card less Banking System with Fingerprint Authentication Using Raspberry Pi.- Low Complexity and High speed Montgomery Multiplication based on FFT.- An Efficient Group Key Establishment for Secure Communication to multicast groups for WSN-IoT nodes.- Design of sub-volt High Impedance Wide Bandwidth Current Mirror for High Performance Analog Circuit.- Low Voltage Low Power Design of Operational Transconductance Amplifier.- Automatic detection of Cerebral microbleed using Deep bounding box based watershed segmentation from MR images.- New Efficient Tunable Window Function for Designing FIR Digital Filter.- Brain Tumour Detection Using Convolutional Neural Networks in MRI Images.- Design of circular patch antenna with square slot for wearable Ultra-wide band Applications.- Design of Area Efficient and Low Power 4-Bit Baugh Wooley Multiplier Using Full-Swing GDI technique.- VLSI IMPLEMENTATION OF THE LOW POWER NEUROMORPHIC SPIKING NEURAL NETWORK WITH MACHINE LEARNING APPROACH.- IOT based Energy Saving Recommendations by Classification of Energy Consumption Using Machine Learning Techniques.
V. Sivakumar Reddy is Professor at the Department of Electronics and Communication Engineering, Malla Reddy College of Engineering and Technology, and has more than 20 years of teaching and research experience. 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 and Communication Engineering at IIT Kharagpur. His areas of research interest include multi-media signal processing and communication protocols. He has published more than 120 papers in peer-reviewed journals and reputed conferences. He is a member of several academic bodies, such as IETE, IEEE, ISTE and CSI. He is also a reviewer for several IEEE journals. He was awarded as "Best Teacher" in three consecutive academic years with citation and cash award. He is the recipient of "India Jewel Award" for outstanding contribution to the research in the field of Engineering and Technology.



V. Kamakshi Prasad is Professor in the Department of Computer Science and Engineering in JNTU Hyderabad; he completed his Ph.D. in speech recognition at the Indian Institute of Technology Madras and his M.Tech. in Computer Science and Technology at Andhra University in 1992. He has more than 21 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 and 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 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 Associate Professor at NJUST. He has published numerous books and research papers and is Associate Editor of several international journals. He has also served as a program chair, a program co-chair, a special sessions chair and a 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.



KTV Reddy, Alumni of IIT Bombay, is presently working as Campus Director and Principal, Pravara Technical Education Campus, Sir Visvesvaraya Institute of Technology (SVIT) Nashik. He was Former Director at PSIT Kanpur. During his teaching career at Fr C Rodrigues Institute of Technology (FCRIT), Vashi, he cultivated, promoted and developed the Department of ET to the extent that it started being considered as one of the best institutes under the University of Mumbai. He published over 100 papers in the national and international journals and conferences, delivered over 200 invited talks and organized over 150 conferences/workshops. He is a fellow member of IETE, a senior member of IEEE and a life member of ISTE, ACM and CSI. He has organized several international and national conferences/workshops.