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Soft Computing and Signal Processing = Proceedings of 4th ICSCSP 2021 /

紀錄類型:	書目-語言資料,印刷品 : Monograph/item
正題名/作者:	Soft Computing and Signal Processing/ edited by V. Sivakumar Reddy, V. Kamakshi Prasad, Jiacun Wang, K.T.V. Reddy.
其他題名:	Proceedings of 4th ICSCSP 2021 /
其他作者:	Reddy, K.T.V.
面頁冊數:	XXII, 811 p. 502 illus., 345 illus. in color.online resource. :
Contained By:	Springer Nature eBook
標題:	Internet of Things. -
電子資源:	https://doi.org/10.1007/978-981-16-7088-6
ISBN:	9789811670886

Soft Computing and Signal Processing = Proceedings of 4th ICSCSP 2021 /
Soft Computing and Signal ProcessingProceedings of 4th ICSCSP 2021 /[electronic resource] :edited by V. Sivakumar Reddy, V. Kamakshi Prasad, Jiacun Wang, K.T.V. Reddy. - 1st ed. 2022. - XXII, 811 p. 502 illus., 345 illus. in color.online resource. - Advances in Intelligent Systems and Computing,14132194-5365 ;. - Advances in Intelligent Systems and Computing,335.

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.

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.

ISBN: 9789811670886

Standard No.: 10.1007/978-981-16-7088-6doiSubjects--Topical Terms:

1048478
Internet of Things.

LC Class. No.: Q342

Dewey Class. No.: 006.3

Soft Computing and Signal Processing = Proceedings of 4th ICSCSP 2021 /
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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.
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