Emergent Converging Technologies and Biomedical Systems

Name: Emergent Converging Technologies and Biomedical Systems | Select Proceedings of the 3rd International Conference, ETBS 2023
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Select Proceedings of the 3rd International Conference, ETBS 2023

Shruti Jain Nikhil Marriwala Pushpendra Singh C.C. Tripathi Dinesh Kumar(Editor)

Springer (Publisher)

1st Edition

Published on 24. February 2024

XVII, 725 pages

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978-981-99-8646-0 (ISBN)

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Shruti Jain is Associate Dean (Innovation) and Professor in the Department of Electronics and Communication Engineering at the Jaypee University of Information Technology, Waknaghat, H.P, India. She has received her Doctor of Science (D.Sc.) in Electronics and Communication Engineering. She has teaching experience at around 18 years. She has filed eight patents, of which two have been granted and six are published. She has published more than 25 book chapters and 130 research papers in reputed indexed journals and at international conferences. She has also published 14 books. She has completed two government-sponsored projects. She has guided 07 Ph.D. students and now has 04 registered students. She has also guided 11 M.Tech. scholars and more than 100 B.Tech. undergrads. She has organized 11 conferences of IEEE and Springer as Conference General Chair. Her research interests are Image and Signal Processing, Soft Computing, Internet of Things, Pattern Recognition, Bio-inspired Computing, and Computer-Aided Design of FPGA and VLSI circuits. She is Senior Member of IEEE, Executive Member of the IEEE Delhi Section, Life Member, Executive Member of the Biomedical Engineering Society of India, and Member of IAENG. She is Member of the Editorial Board of many reputed journals. She is also Reviewer of many journals and Member of TPC of different conferences. She was awarded by Nation Builder Award in 2018-19 and enlisted in 2% of scientists of world rankings of 2021 published by Elsevier, data compiled by Stanford University.

Nikhil Marriwala (B.Tech., M.Tech., and Ph.D. in Engineering & Technology) is working as Assistant Professor and Head of the Department of Electronics and Communication Engineering Department, University Institute of Engineering and Technology, Kurukshetra University, Kurukshetra. He did his Ph.D. at the National Institute of Technology (NIT), Kurukshetra, in the Department of Electronics and Communication Engineering. More than 33 studentshave completed their M.Tech. dissertation under his guidance. He has published more than 05 book chapters in different international books, has authored more than 10 books with Pearson, Wiley, etc., and has more than 40 publications to his credit in reputed international journals (SCI, SCIE, ESCI, and Scopus) and 20 papers in international/national conferences. He has been granted 08 patents with 02 Indian patents and 06 international patents. He has been Chairman of Special Sessions at more than 22 international/national conferences and has delivered a keynote address at more than 7 international conferences. He has also acted as organizing secretary for more than 05 international conferences and 01 national conference. He has delivered more than 70 invited talks/guest lectures in leading universities/colleges PAN India. He is having an additional charge of Training and Placement Officer at UIET, Kurukshetra University, Kurukshetra, for more than 11 years now. He is Single Point of Contact (SPOC) and Head of the local chapter of SWAYAM NPTEL Local Chapter of UIET, KUK. He is SPOC for the Infosys campus connect program for UIET, KUK. He is Editor of more than 06 book proceedings with Springer and Guest Editor for a Special Session in the Journal Measurement and Sensors, Elsevier. He has been awarded as the NPTEL ENTHUSIASTS for the year 2019-2020 by NPTEL IIT, Madras. He has also been awarded the "Career Guru of the Month" award by Aspiring Minds. His areas of interest are Software Defined Radios, Cognitive Radios, Soft Computing, Wireless Communications, Wireless Sensor Networks, Fuzzy system design, and Advanced Microprocessors

Prof. Pushpendra P. Singh is an experimental physicist with a passion for cyber-physical system instrumentation and quantum sensing devices. His research focuses on nuclear reactions and instrumentation for rare-decay studies, quantum sensing devices/imagers, and the deployment of cyber-physical systems. He is the principal investigator and project director of the iHub-AWaDH (Agriculture & Water Technology Development Hub), a Technology Innovation Hub (TIH) established by the Department of Science & Technology (DST), Government of India, at IIT Ropar in the framework of National Mission on Interdisciplinary Cyber-Physical Systems (NM-ICPS). In the profession of scientific research, He received Prof. C. V. K. Baba Award for my Ph.D. thesis in the year 2008 from the Indian Physics Association (IPA). He was awarded an INFN international fellowship at the Laboratori Nazionali di Legnaro, Italy, in 2009. After a term at Legnaro in 2011, He joined the GSI - Helmholtz Centre for Heavy-Ion Research GmbH, Darmstadt, Germany, as a visiting scientist, where He has been associated with the Lund-York-Cologne-Calorimeter (LYCCA) and the Advanced GAmma Tracking Array (AGATA) as a technical coordinator for multi-branch signal processing through digital electronics. He joined the Department of Physics at IIT Ropar in 2013. Presently, He is a member of NuSTAR collaboration for the Facility for Anti-proton and Ion Research (FAIR) at Darmstadt in Germany and collaborates with the scientists from JINR Dubna (Russia), TU Darmstadt (Germany), ANL (USA), LASTI (University of Hyogo, Japan), and Aksaray University (Turkey).

C. C. Tripathi completed his Ph.D. in electronics from Kurukshetra University, Kurukshetra. Since 2016, he is working as Director of the University Institute of Engineering Technology (an autonomous institute), Kurukshetra University, Kurukshetra. His research areas are microelectronics, RF MEMS for communication, and industrial consultancy. He has filed 1 patent and published over 80 papers in journals and conference proceedings. Prof. Tripathi is Experienced Professor with a demonstrated history of working in the higher education industry. He has been working extensively on graphene-based flexible electronic devices, sensors, etc. Presently, he is working as Director, NITTTR, Bhopal.

Dinesh K. Kumar, B.Tech. from IIT Madras and Ph.D. from IIT Delhi is Professor at RMIT University, Melbourne, Australia. He has published over 480 papers, authored 8 books, and is on a range of Australian and international committees for Biomedical Engineering. His passion is for affordable diagnostics and making a difference for his students. His work has been cited over 7700 times, and he has also had multiple successes with technology translation. He is Member of the Therapeutics Goods Administration (TGA), Ministry of Health (Australia) for medical devices. He is also on the editorial board for IEEE Transactions of Neural Systems and Rehabilitation Engineering and Biomedical Signals and Controls. He has been Chair of a large number of conferences and has given over 50 keynote speeches.

Content

Intro
Preface
About This Book
Contents
About the Editors
On Parameterized Picture Fuzzy Discriminant Information Measure in Medical Diagnosis Problem
1 Introduction
2 Preliminaries
3 Doubly Parameterized Picture Fuzzy Discriminant Measure
4 Solving Medical Diagnosis Problem with Parameterized Measure
4.1 Medical Diagnosis
5 Conclusions and Scope for Future Work
References
Fuzzy Vendor-Buyer Trade Credit Inventory Model-Pentagonal Numbers in Permissible Limits Delay in Account Settlement with Supervised Learning
1 Introduction
2 Extension of the Lagrangian Method for Fuzzy Vendor-Buyer Trade Credit Inventory Model
3 Methodology for Fuzzy Vendor-Buyer Trade Credit Inventory Model
3.1 Grade Mean Integration Representation Technique (GMIRT) for Fuzzy Vendor-Buyer Trade Credit Inventory Model[11, 14]
4 Highly Integrated Optimization Model with Processing Orders, Cost Savings, and Allowable Payment Delays
4.1 Notations
5 Mathematical Model for Fuzzy Vendor-Buyer Trade Credit Inventory Model
5.1 Inventory Model of Crisp Production Quantity (CPQ) for Fuzzy Vendor-Buyer Trade Credit Inventory Model
5.2 Inventory Model for Fuzzy Production Quantity for Fuzzy Vendor-Buyer Trade Credit Inventory Model
6 Numerical Analysis for Fuzzy Vendor-Buyer Trade Credit Inventory Model
7 Supervised Learning (Sl) for Fuzzy Vendor-Buyer Trade Credit Inventory Model
8 Conclusion
9 Results and Discussions
References
Comparative Analysis of Hardware and Software Utilization in the Implementation of 4-Bit Counter Using Different FPGAs Families
1 Introduction
2 Related Work
3 Implementation on 4-bit Counter Using Different FPGAs Families and Results
4 Comparative Analysis of 4-bit Counter Using Different FPGAs Boards
5 Conclusion
References
Soil Monitoring Robot for Precision Farming
1 Introduction
2 Literature Survey
3 Materials and Methods
4 Results and Discussions
5 Conclusion
References
Accountability of Immersive Technologies in Dwindling the Reverberations of Fibromyalgia
1 Introduction
2 Virtual Reality
3 Augmented Reality
4 Mixed Reality
5 Reality-Virtuality Continuum
6 Fibromyalgia
7 Literature Survey
8 Conclusion
References
A 233-Bit Elliptic Curve Processor for IoT Applications
1 Introduction
2 Related Work
3 Design
4 Results and Discussion
5 Conclusion and Future Work
References
Numerical Simulation and Modeling of Improved PI Controller Based DVR for Voltage Sag Compensation
1 Introduction
2 Related Works
3 Dynamic Voltage Restorer (DVR)
4 Proposed Methodology
5 Simulation and Results
6 Conclusions
References
Alternate Least Square and Root Polynomial Based Colour-Correction Method for High Dimensional Environment
1 Introduction
1.1 Motivation
2 Literature Review
3 Proposed Work
3.1 Methodology
4 Results Obtained
4.1 Performance Evaluation
5 Conclusion
References
An Automatic Parkinson's Disease Classification System Using Least Square Support Vector Machine
1 Introduction
2 Material
3 Methodology
3.1 Data Pre-Processing
3.2 Feature Selection
3.3 Handling Imbalanced Dataset
3.4 Least Square Support Vector Machine (LSSVM)
4 Results and Discussion
5 Conclusion
References
Generation Cost Minimization in Microgrids Using Optimization Algorithms
1 Introduction
2 Problem Statement
3 Proposed Methodology
3.1 Multi-verse Optimizer Algorithm
3.2 Improved Multi-verse Optimizer Algorithm
4 Simulation Discussion
4.1 Dataset Description
4.2 Experimental Results
5 Conclusion
References
Diagnosis of Mental Health from Social Networking Posts: An Improved ML-Based Approach
1 Introduction
2 Related Work
3 Methodology
3.1 Data Collection and Pre-processing
3.2 Feature Engineering
3.3 ML Algorithms
4 Evaluation and Results
4.1 Dataset
4.2 Data Analysis
4.3 Results
5 Conclusion
References
Smart Health Monitoring System for Elderly People
1 Introduction
2 Literature Survey
2.1 Paper Contributions
2.2 Paper Organization
3 Proposed Health Monitoring System
4 Results and Discussions
5 Conclusion and Future Scope
References
Impact of Covid-19 and Subsequent Usage of IoT
1 Introduction
2 Impact of COVID-19
2.1 Education System
2.2 Healthcare System
2.3 Travel and Tourism
2.4 Industrial and Economy
3 Usage of IoT
3.1 Education System
3.2 Healthcare System
3.3 Travel and Tourism System
3.4 Industry and Economy System
4 Conclusions and Future Scope
References
Design of Battery Monitoring System for Converted Electric Cycles
1 Introduction
2 Literature Survey
3 Proposed System
3.1 OLED Display
3.2 Voltage Sensor
3.3 Hub Motor
3.4 DC Battery
4 Results and Discussion
5 Conclusions
References
Image Denoising Framework Employing Auto Encoders for Image Reconstruction
1 Introduction
2 Methodology
3 Results and Discussion
4 Conclusion and Future Work
References
Server Access Pattern Analysis Based on Weblogs Classification Methods
1 Introduction
2 Literature Review
3 Proposed Methodology
3.1 Log Collection
4 Data Pre-processing
4.1 Log Templating
4.2 Learning and Pattern Evaluation
4.3 Linear Support Vector Machine (LSVM)
4.4 Random Forest
4.5 K-nearest Neighbor
5 Result and Discussion
5.1 Dataset Description
6 Conclusion
References
Multilingual Emotion Recognition from Continuous Speech Using Transfer Learning
1 Introduction
2 Related Work
3 Proposed System
3.1 System Setup
3.2 Model Architecture
4 Dataset Description
4.1 RAVDESS Dataset
4.2 PU Dataset
4.3 PU Dataset with Augmented Noise
5 Results Analysis
5.1 Model Training & Hyperparameter Tuning
5.2 Effect of Hidden Dropout Rate, and Number of Attention Heads
5.3 Overview of the Model Training
6 Conclusion
References
Violence Detection Using DenseNet and LSTM
1 Introduction
2 Related Work
3 Proposed Method
3.1 Background Suppression
3.2 Frame Difference Algorithm
3.3 DenseNet
3.4 LSTM
3.5 DenseLSTM
4 Result and Discussion
5 Conclusion
References
Financial Technology and Competitive Landscape in the Banking Industry of Bangladesh: An Exploratory Focus
1 Introduction
2 Literature Review
3 Research Objectives
4 Data and Methodology
5 Results and Discussion
6 Recommendation
7 Concluding Remarks
References
Review on Deep Learning-Based Classification Techniques for Cocoa Quality Testing
1 Introduction
2 Literature Review
3 Deep Learning
4 Analysis
4.1 Types of Cocoa Beans
5 Conclusion
References
A Curated Study on Machine Learning Based Algorithms and Sensors for Drone Technology in Various Application
1 Introduction
2 Related Work
3 System Overview
4 Results/Comparison
5 Conclusion
References
Automatic Detection of Coagulation of Blood in Brain Using Deep Learning Approach
1 Introduction
2 Literature Review
3 Methodology
3.1 Architecture
3.2 Data Collection
3.3 Pre-processing
3.4 Model Training
3.5 Evaluation Metrics
3.6 Prediction
4 Conclusion
References
DeepPose: A 2D Image Based Automated Framework for Human Pose Detection and a Trainer App Using Deep Learning
1 Introduction
1.1 Motivation and Objectives
2 Literature Survey
3 Proposed Framework
3.1 Dataset Description
4 Experimentation and Results
5 Conclusions and Future Directions
References
Phylogenetic Study of Surface Glycoprotein (S1 Spike Protein) Sequence of SARS-CoV-2 Virus
1 Introduction
2 Literature Review
3 Methodology
3.1 Selection of SARS-CoV-2 Virus S1 Spike Protein Sequences
3.2 Building of Phylogenetic Tree
3.3 Visualization of the Phylogenetic Tree
4 Results
4.1 Selection of SARS-CoV-2 Virus S1 Spike Protein Sequences
4.2 Building of Phylogenetic Tree
4.3 Visualization of Phylogenetic Tree
5 Discussion
6 Conclusion
References
Pervasive and Wearable Computing and Networks
1 Introduction
2 History of Pervasive and Wearable Computing
3 Literature Review
4 Challenges and Review of Pervasive and Wearable Computing
5 Methodology
6 Implementation
7 Result
8 Conclusion
References
Power of Image-Based Digit Recognition with Machine Learning
1 Introduction
2 Related Work
3 Methodology
4 Dataset Description
5 Results and Discussion
6 Conclusion
References
Open-Source Gesture-Powered Augmented Reality-Based Remote Assistance Tool for Industrial Application: Challenges and Improvisation
1 Introduction
2 Related Work
3 Problem Statement
4 Research Proposal and Description
4.1 Proposed Architecture
4.2 Application Usage Description
5 Methodology and Hypotheses Development
6 Case Study/Evaluated Result
7 Conclusion
References
Enhancing Biometric Performance Through Mitigation of Sleep-Related Breaches
1 Introduction
2 Literature Review
3 Problem Statement
4 Proposed Work
5 Conclusion
References
Neural Network Based CAD System for the Classification of Textures in Liver Ultrasound Images
1 Introduction
2 Material and Methods
2.1 The Database Description
2.2 Datasets for Training and Testing
3 Proposed Computer Aided Diagnosis (CAD) System
3.1 Texture Feature Extraction Module
3.2 Classification Module
3.3 Ensemble of NNs
4 Results and Discussions
5 Conclusion
References
A Comparative Survey on Histogram Equalization Techniques for Image Contrast Enhancement
1 Introduction
2 Contrast Enhancement Using Histogram Equalization
3 Experimental Results
4 Performance Assessment
5 Conclusion
References
Crime Rate Prediction in Tamil Nadu Using Machine Learning
1 Introduction
2 Related Work
3 Methodology
3.1 Sample Dataset
3.2 Architecture
4 Implementation
4.1 K-Means Clustering
4.2 Random Forest Regression
4.3 Flask
4.4 Tools
4.5 Regression Models for Comparison Linear Regression
5 Results and Discussion
5.1 Graphs
5.2 Analysis
5.3 EDA Using PowerBI
5.4 Accuracy Comparison
6 Conclusion and Future Scope
References
Depression Severity Detection from Social Media Posts
1 Introduction
2 Related Work
3 Dataset and Metrics
3.1 Evaluation Metrics
4 BDI-II
5 Proposed Methodology
5.1 Unsupervised Approach
5.2 Supervised Approach
6 Results
6.1 Unsupervised Approach Results
6.2 Supervised Approach Results
6.3 Experimental Results
7 Conclusion and Future Scope
References
Computational Studies of Phytochemicals from Allium Sativum with H7N9 Subtype in Avian Influenza
1 Introduction
2 Methodology
2.1 Protein Preparation
2.2 Ligand Selection and Preparation
2.3 Binding Site Preparation and Receptor Grid Generation
2.4 Molecular Docking Analysis
2.5 Binding Free Energy Calculation
2.6 ADME Analysis
3 Results and Discussion
3.1 Molecular Docking
3.2 Protein-Ligand Interaction
3.3 Free Binding Energy Calculations
3.4 ADME Analysis
4 Conclusion
References
Ensuring Security of Data Through Transformation Based Encryption Algorithm in Image Steganography
1 Introduction
1.1 Image Steganography Techniques
1.2 Contribution of the Work
1.3 Organization of the Paper
2 Literature Review
3 Proposed Algorithm
4 Experimental Results
5 Conclusion and Future Scope
References
PICO Classification Using Domain-Specific Features
1 Introduction
2 Related Work
3 Proposed Work
4 Experiment and Result
4.1 Dataset Description
4.2 Experiments and Results
5 Conclusion
References
Optimized Detection of Ovarian Cancer Using Segmentation with FR-CNN Classification
1 Introduction
2 Methodology
2.1 Pre-processing
2.2 Object Detection Using FR-CNN
3 Related Work
3.1 Region Proposal Network (RPN)
3.2 Training
3.3 Testing
3.4 RoI Pooling and Classifier Layer
3.5 Back Propagation by ROI Pooling Layer
4 Experimental Results
4.1 Experimental Setup
4.2 Database Description
4.3 Performance Metrics
5 Conclusion
References
Implementation of Machine Learning Algorithms for Cardiovascular Disease Prediction
1 Introduction
2 Methodology
2.1 Data Preparation
2.2 Data Preprocessing
2.3 Data Visualization
2.4 Applying Machine Learning Algorithm
3 Result
3.1 Data Preparation and Pre-processing
3.2 Data Visualization
3.3 ML Algorithm
4 Conclusion
References
Security Challenges and Applications for Digital Transactions Using Blockchain Technology
1 Introduction
1.1 Ethereum and EVM Based Networks
1.2 Automated Market Makers and Decentralized Exchanges
2 Literature Review
2.1 Asset Price Estimation in the Uniswap Model
2.2 Trading of the Assets in the Uniswap Model
3 Problems Associated with the Uniswap Model
3.1 Security Risks Associated with the Uniswap Model
3.2 Lack of Support for Fees in ERC20 Tokens
4 Proposed Model
4.1 Reduced Security Risks
4.2 Greater Support for Fee Structures in ERC20 Tokens
4.3 Reduced Gas Fee on Swap Transactions
5 Detailed Working of Proposed Model
5.1 Providing Liquidity
5.2 Swap/Trading of Assets
5.3 Fee Collection from Trading
5.4 Liquidity Removal
6 Results and Analysis
6.1 Price Impact in Every Trade
6.2 Tokens Received in Trades of Tokens with Various Kinds of Fees
6.3 USDC Received in Trades of Tokens with Various Kind of Fees
6.4 Fees Collected Without Affecting the Asset Price
7 Conclusion
References
Triple-Band Gap Coupled 4 × 4 MIMO Antenna in mm-Wave for High Data Rate and IoT Applications
1 Introduction
2 Antenna Configuration and S-parameter Results
3 Antenna Gain, Efficiency and Far Field Patterns
4 Diversity Parameters of MIMO Antenna
5 Analysis of Bending of MIMO Antenna
6 Conclusion
References
Comparative Performance Analysis of Present Lightweight Cipher for Security Applications in Extremely Constrained Environment
1 Introduction
2 Present Cipher for Lightweight Hardware Architecture
3 Implementation of Present Lightweight Cipher Design on Different FPGA Boards
4 Simulation Results and Discussion
4.1 Performance Metrics
4.2 Synthesis Criteria
4.3 Software and Hardware Details
5 Conclusion and Future Scope
References
Improved Hybrid Similarity for Clustering of Text Documents Using GA
1 Introduction
1.1 Cosine Similarity
1.2 Link-Based Similarity
1.3 Jaccard Similarity
1.4 Improved Rank Similarity
1.5 Hybrid Similarity
1.6 Genetic Algorithm
2 Related Works
3 Proposed Framework
4 Result and Analysis
4.1 Improved Hybrid Similarity
4.2 Genetic Algorithm on Improved Hybrid Similarity
5 Conclusion and Future Scope
References
IoT for Emerging Engineering Application Related to Commercial System
1 Introduction
1.1 Commercial System
1.2 IoT
1.3 Emerging Engineering Technology
1.4 Role of IoT in Commercial System
1.5 LSTM
2 Literature Review
3 Problem Statement
4 Proposed Work
5 Result and Discussion
5.1 Detect Sentiment from Customer Reviews Using Amazon
6 Conclusion and Future Scope
References
Development and Analysis of Malaria Vector by Mathematical Modeling
1 Introduction
2 Paludism (Malaria) Defect Model Production
2.1 The Given Model of the Parameters
2.2 Model Diagram
2.3 Disease Free Equilibrium (DFEQ)
3 The System Stability
3.1 Local Stability of DFEQ
3.2 Global Stability of Endemic Equilibrium
4 Numerical Reproductions and Simulations
5 Conclusion
References
Realization of Fractional Order Low Pass Filter Using Differential Voltage Current Conveyor (DVCC)
1 Introduction
2 Proposed Fractional Order Low Pass Filter
3 Stability Analysis of Proposed Fractional Order Low Pass Filter
4 Simulation Results
5 Conclusion
References
Identification and Classification of Intestinal Parasitic Eggs in Animals Through Microscopic Image Analysis
1 Introduction
2 Image Dataset
3 Methodology
3.1 The Proposed Methodology
3.2 Texture Feature Extraction Techniques
3.3 Normalization of Features
3.4 Classification
4 Results
5 Discussion
6 Conclusion
References
Storage and Organisation of Geospatial Data in Distributed Blockchain Using IPFS
1 Introduction
1.1 Motivation
2 Background
2.1 Blockchain
2.2 IPFS
3 Materials
3.1 Geospatial Data
3.2 Datasets Used
4 Software Used
5 Method Implementation
5.1 Libraries and Functions Used
5.2 Working Principle of the Proposed Method
6 Results
7 Conclusion
References
Wireless Communication: Exploring Fuzzy Logic Techniques and Applications
1 Introduction
2 Fuzzy Logic Control Classification
2.1 The Benefits and Capabilities of Fuzzy Logic Techniques
3 A Wireless Sensor Network's Features (WSN)
4 Wireless Sensor Network Difficulties
5 Fuzzy Logic Applications in Wireless Communication Network
5.1 Estimation of Channels
5.2 Equalization of Channels
5.3 Case Study: Fuzzy Logic in Wireless Communications
6 Mathematical Analysis
7 Conclusion
References
Secure Authentication Scheme for IoT Enabled Smart Homes
1 Introduction
2 Related Work
3 Proposed System Model
3.1 Attacker Model and Security Goals
4 Proposed System Scheme
4.1 Security Goals
4.2 Initialization and Setup Phase
4.3 Registration Phase
4.4 Login and Authentication Phases
4.5 Password Update Phase
5 Informal Analysis
6 Simulation for Formal Security Verification Using AVISPA
7 Performance Evaluation
7.1 Comparison of Communication and Computation Cost
8 Conclusion
References
Signal Processing for Language Sanitization: Detection and Censorship of Obscene Words in Speech Recordings
1 Introduction
2 Methodology
2.1 Speech Signal Denoising
2.2 Speech-To-Text Conversion of the Speech Signal
2.3 Detecting the Existence of an Obscene Word in a Speech Signal
2.4 Finding the Start and End Time of the Obscene Word
2.5 Masking Obscene Words in Audio with a Beep
3 Results
4 Conclusion
References
Machine Learning and Deep Networks for Additive Wafer Defect Detection: A Concise Study
1 Introduction
2 Literature Collection Approach
2.1 Literature Search Approach
2.2 Literature Selection Constraint
3 Evaluation of Defect Detection Methods
3.1 Causes of Wafer Substrate Defects
3.2 ML-Based Defect Detection Methods
3.3 DN-Based Defect Detection Methods
3.4 Hybrid-Based Defect Detection Method
3.5 Other Methods
4 Discussion
5 Conclusion
References
A Deep Neural Network for Image Classification Using Mixed Analog and Digital Infrastructure
1 Introduction
2 Deep Neural Network
3 DNN VlSI for Image Classification
4 Conclusion
References
Performance Evaluation of Ensemble Classifiers for Anomaly Detection in IoT Environment
1 Introduction
2 Literature Review
3 Proposed Methodology
4 Overview of Different Classifiers
5 Performance Evaluation Metrics
6 Results
7 Conclusion and Future Work
References
Design of Energy-Efficient Approximate Arithmetic Circuits for Error Tolerant Medical Image Processing Applications
1 Introduction
2 Design Methodology
2.1 Existing Approximate Adders
2.2 Existing Approximate Subtractors (APSCs)
2.3 Proposed Approximate Adders (PAA_s)
2.4 Proposed Approximate Subtractors (APSC8-APSC10)
3 Proposed Approximate Wallace Tree Multiplier (AWTM) Using PAA_s
4 Array Divider Using Proposed APSCs (APDrs)
5 Results and Discussions
5.1 Approximate Adders
5.2 Approximate Subtractors (APSCs)
5.3 AWTMs
5.4 Accuracy Evaluation
5.5 Image Processing
6 Conclusion
References
Skin Cancer Diagnosis Using High-Performance Deep Learning Architectures
1 Introduction
2 Literature Review
3 Proposed Skin Cancer Diagnosis
3.1 Traditional Thresholding Technique
3.2 Skin Cancer Prediction Using High Performance Deep Learning Architectures
4 Result and Discussion
5 Conclusion
References
Video Surveillance-Based Intrusion Detection System in Edge Cloud Environment
1 Introduction
2 Related Works
3 Proposed Model
4 Results and Discussion
5 Conclusion
References
Health Care DNS Tunnelling Detection Method via Spiking Neural Network
1 Introduction
2 Literature Survey
3 Proposed Method
3.1 Data Exfiltration Over DNS Tunneling
3.2 Data Pre-process
3.3 Payload Tunnelling Features (PTF)
3.4 Classification of Spiking Neural Networks
4 Result
5 Conclusion
References

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Emergent Converging Technologies and Biomedical Systems

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