Computational Intelligence: Select Proceedings of InCITe 2022

✍ Scribed by Anupam Shukla, B.K. Murthy, Nitasha Hasteer, Jean-Paul Van Belle

• Publisher: Springer
• Year: 2023
• Tongue: English
• Leaves: 818
• Series: Lecture Notes in Electrical Engineering, 968
• Category: Library

✦ Synopsis

The book constitutes the peer-reviewed proceedings of the 2nd International Conference on Information Technology (InCITe-2022): The Next Generation Technology Summit. The theme of the conference is Computational Intelligence: Automate your World. The volume is a conglomeration of research papers covering interdisciplinary research and in-depth applications of computational intelligence, deep learning, machine learning, artificial intelligence, data science, enabling technologies for IoT, blockchain, and other futuristic computational technologies. The volume covers various topics that span cutting-edge, collaborative technologies and areas of computation. The content would serve as a rich knowledge repository on information & communication technologies, neural networks, fuzzy systems, natural language processing, data mining & warehousing, big data analytics, cloud computing, security, social networks and intelligence, decision making, and modeling, information systems, and IT architectures. The book will be useful to researchers, practitioners, and policymakers working in information technology.

✦ Table of Contents

Preface
Contents
About the Editors
Computational Modeling of Multilevel Organizational Learning: From Conceptual to Computational Mechanisms
1 Introduction
2 Overview: From Conceptual to Computational Mechanisms
3 The Self-modeling Network Modeling Approach Used
4 Some Examples of Computational Mechanisms
5 Computational Models for Feedforward and Feedback Learning
6 Discussion
References
Deep Learning-Based Black Hole Detection Model for WSN in Smart Grid
1 Introduction
2 Literature Review
3 Proposed Methodology
3.1 Proposed Network Architecture
3.2 Bayesian Theory
3.3 Deep Recurrent Neural Network (DRNN)
3.4 Grasshopper Optimization Algorithm (GOA)
4 Result and Discussion
4.1 Discussion
5 Conclusion
References
Video Forgery Detection and Localization with Deep Learning Using W-NET Architecture
1 Introduction
2 Related Work
3 Methodology Proposed
4 Experiment Results and Discussion
5 Conclusion and Future Works
References
Learning to Transfer Knowledge Between Datasets to Enhance Intrusion Detection Systems
1 Introduction
2 Related Works
3 The InSDN Dataset
4 Methods and Experimental Results
4.1 Methods
4.2 Experimental Results
5 Conclusions
References
Retrospective Study of Convolutional Neural Network for Medical Image Analysis and a Deep Insight Through Histopathological Dataset
1 Introduction
2 Convolutional Neural Network
2.1 Input Layer
2.2 CONV Layer
2.3 Rectified Linear Unit (ReLU) Layer
2.4 Pooling Layer
2.5 Fully Connected Layer
3 Contribution of CNN in Medical Image Analysis
3.1 Detection
3.2 Segmentation
3.3 Classification
4 Challenges and Solutions
5 A Case Study on Histology Digital Image Analysis
5.1 Binary Classification
5.2 Multi-classification
6 Conclusion
References
Building Web-Based Subject-Specific Corpora on the Desktop: Evaluation of Search Metrics
1 Introduction
2 Definitions and Prior Work
3 Method
4 Analysis
4.1 Relative Performance of the Different Metrics
4.2 Optimizing the Okapi BM25 Parameters
4.3 Using the Metrics for Creating Subject-Specific Corpora
5 Conclusion
References
Studying Effectiveness of Transformers Over FastText
1 Introduction
2 Related Work
3 Dataset
4 Implementation Details
4.1 Embedding
4.2 Model Architecture
4.3 Loss Function and Optimizer
4.4 Evaluation Metrics
5 Result
5.1 Accuracy
5.2 Computational Time
6 Conclusion
References
Aerial Object Detection Using Deep Learning: A Review
1 Introduction
2 Survey Related to Aerial Object Detection
2.1 Traditional Approach
2.2 Deep Learning-Based Approach
3 Dataset Related to Aerial Object Detection
4 Performance Metrics
5 Conclusion and Future Trends
References
Precise Temperature Control Scheme for Nonlinear CSTR Using Equilibrium Optimizer Tuned 2-DOF FOPID Controller
1 Introduction
2 Mathematical Modelling of Nonlinear CSTR
3 2-DOF FOPID Control Algorithm
4 EO-Based Parametric Tuning Technique of 2-DOF FOPID Control Algorithm
4.1 Phase1: Random Initialization
4.2 Phase2: Equilibrium Pool and Candidates
4.3 Phase3: Concentration Level Updating Mechanism:
5 Results and Discussion
5.1 Step Response Analysis
5.2 Disturbance Rejection Study
5.3 Set Point Tracking
6 Conclusion
References
Descriptive Predictive Model for Parkinson’s Disease Analysis
1 Introduction
2 Related Work
3 Methodology
3.1 Data Pre-processing
3.2 Feature Analysis
3.3 Classification
4 Experiments
4.1 Dataset Used
4.2 Results and Discussion
4.3 Experiment for Dysphonia
4.4 Experiment for Dysarthria
5 Conclusion
References
Recommender System Based on Network Structure Link Analysis Technique Through Community Detection in Social Network to Handle the Cold-Start Problem
1 Introduction
2 Literature Review
3 Material and Methods
3.1 Dataset Used
3.2 Proposed Methodology
3.3 Pre-processing
4 Results and Discussion
5 Conclusion and Future Work
References
Performance Analysis of NOMA Over Hybrid Satellite Terrestrial Communication Systems
1 Introduction
2 System Model
3 Numerical Results
4 Conclusions
References
Multivariate Partially Blind Signature Scheme
1 Introduction
2 Preliminaries
2.1 Notations
2.2 Partially Blind Signature (PBS)
2.3 Cryptographic Tools
2.4 MQ Problem
2.5 Multivariate Digital Signature Construction
2.6 Rainbow Signature Scheme
2.7 MQDSS
3 Multivariate Partial Blind Signature Scheme (MPBS)
4 Parameters and Efficiency
4.1 Parameters
4.2 Efficiency
5 Conclusion
References
Topic Analysis and Visualisation of Peer-to-Peer Platform Data: An Airbnb Case Study
1 Introduction
2 Background
2.1 The Airbnb Platform
2.2 Previous Studies Analysing Accommodation Platform Data
2.3 Techniques for Analysing Textual UGC and MGC
3 Methods
4 Analysis
4.1 Topic Prominence
4.2 Topic Attribute Analysis and Visualisation
5 Conclusion
References
Pandemic-Induced Behavioral Change in Mobile Banking Adoption: An Opportunity for Indian Banking Industry for Embracing Artificial Intelligence
1 Introduction
2 Review of Literature
2.1 The Initial Designs
2.2 Risks and Trust
3 Human Engagement Versus User (Technological) Interface
4 Research Gap and Problem Statement
5 AI-Enabled Resilience
5.1 Transforming Customer Engagement Methods
5.2 Chatbots
5.3 Automating Decision Making
5.4 Redesigning Processes Around AI
6 Conclusion
References
On the Efficacy of Boosting-Based Ensemble Learning Techniques for Predicting Employee Absenteeism
1 Introduction
2 Related Work
3 Research Framework
3.1 Data Collection and Preprocessing
3.2 Model Development and Validation
3.3 Performance Evaluation
4 Results and Analysis
5 Conclusions
References
Framework to Impute Missing Values in Datasets
1 Introduction
2 Proposed Framework
2.1 Generation of Dataset
2.2 Imputed Methods
2.3 Comparison of Methods
2.4 Imputation on the Original Dataset
3 Experiments and Results
4 Conclusion
References
Modelling of an Efficient System for Predicting Ships’ Estimated Time of Arrival Using Artificial Neural Network
1 Introduction
2 Related Works
3 Automatic Identification System
4 Methodology
4.1 Step 1: Data Collection and Pre-processing
4.2 Step 2: Model Creation and Training
4.3 Step 3: Model Evaluation
5 Experimental Results and Discussions
6 Conclusion
References
A Critical Review on Search-Based Security Testing of Programs
1 Introduction
2 Background
3 SBSST Methods Comparison
3.1 General Comparison Criteria of SBSST Work
3.2 Fitness Function-Based Comparison of SBSST Work
4 Discussion and Research Direction
5 Conclusion
References
Feature Selection Methods for IoT Intrusion Detection System: Comparative Study
1 Introduction
2 Literature Review
3 Proposed Model
3.1 Dataset
3.2 Data Preprocessing
3.3 Feature Selection
3.4 Classification
4 Experimentation
5 Conclusion
References
Reformed Binary Gray Wolf Optimizer (RbGWO) to Efficiently Detect Anomaly in IoT Network
1 Introduction
2 Related Work
2.1 Binary Gray Wolf Optimizer
2.2 Binary Gray Wolf Optimizer
3 Reformed Binary Gray Wolf Optimizer
3.1 Reformed Fitness Function
4 Methodology and Experimental Results
4.1 Data Specification and Pre-processing
4.2 Comparison with Related Work
5 Conclusion and Future Study
References
A Feature-Based Recommendation System for Mobile Number Portability
1 Introduction
1.1 Motivations
1.2 Contributions
1.3 Organization
2 System Model and Problem Formulation
2.1 System Model
2.2 Problem Formulation
3 Proposed Architecture
3.1 MNP Recommendation System
3.2 Clustering Analysis
4 Result Discussion
4.1 Dataset Description
4.2 Implementation Interface
4.3 Analytic-Based Results
5 Conclusion
References
An Efficient Deep Learning Model FVNet for Fingerprint Verification
1 Introduction
2 Literature Survey
3 Methodology
4 Experimental Result
5 Conclusion
References
Microcalcification Detection Using Ensemble Classifier
1 Introduction
2 Related Work
3 Proposed Work
3.1 Pre-processing
3.2 Binarization
3.3 Calcification Detection
3.4 Feature Extraction
4 Classification Approach
5 Dataset
6 Results and Discussion
6.1 Feature Extraction
6.2 Classifier Analysis
7 Conclusion
References
Classification and Prediction of Financial Datasets Using Genetic Algorithms
1 Introduction
2 Literature Survey
3 Design and Methodology
3.1 General Design
3.2 Datasets and Pre-processing
3.3 Algorithms
4 Results and Analysis
5 Conclusion
References
Stratified Alignment Using Attention Mechanism for Video Captioning
1 Introduction
2 Related Works
3 Proposed Approach
3.1 Feature Extraction
3.2 Encoder
3.3 Decoder
4 Experimental Setup
5 Preprocessing
6 Comparative Study
7 Performance Analysis
8 Conclusion
References
An IoT-Based Efficient Water Quality Prediction System for Aquaponics Farming
1 Introduction
2 Related Theory
3 Proposed Methodology
3.1 Real-Time Data Collection
3.2 Data Cleaning
3.3 Feature Selection
3.4 Imbalanced Data Handling
3.5 Aquaponics Farming Prediction
4 Result and Discussion
4.1 The Model Performance Without the M-SMOTE
4.2 The Model Performance with the M-SMOTE
4.3 The Proposed system’s Performance in Terms of Execution
5 Conclusion
References
Cluster-Based Congestion Avoidance and Data Aggregation Routing in Wireless Sensor Networks
1 Introduction
2 Related Works
3 Proposed Work
3.1 Gateway-Based Congestion Avoidance (GCA) Mechanism
3.2 Data Aggregation Using Routing-Based Hidden and Visible Layer Mechanism (HVM)
3.3 Hybrid GHVM Mechanism
4 Performance Metrics
5 Conclusion
References
Relevance Vector Machine Tools for Evaluating the Strength Parameters of HPC Incorporating Quarry Dust and Mineral Admixtures with Fibers
1 Introduction
2 Literature Review
3 Experimental Investigation
4 Relevance Vector Machine
4.1 RVM-Based Analysis
5 Implementation Results of RVM Models
6 Conclusions
References
AI-Enabled Circuit Design to Detect Walking Pattern for Humanoid Robot Using Force Sensor
1 Introduction
2 Robot System Design
2.1 Robot Learning and Recognition Framework Design
2.2 Hardware Architecture of Nearest-Neighbor Search (NNS) Algorithm and Its Layout
2.3 Circuit Implementation in FPGA Platform
3 Result and Discussion
4 Conclusion
References
A Review on Geo-location-Based Authentication with Various Lossless Compression Techniques
1 Introduction
2 Literature Review
3 Problem Formulation
4 Proposed Methodology
5 Conclusion
References
Fine-Tuning BART for Abstractive Reviews Summarization
1 Introduction
2 Background
3 Proposed Model
3.1 Dataset and Data Preprocessing
3.2 Model Architecture
3.3 Training of Model
4 Results
5 Analysis
6 Conclusion and Future Work
References
Cell Segmentation of Histopathological Images of Glioma Using Voronoi Tessellation and Quadtree Representation
1 Introduction
2 Related Works
3 Proposed Work
3.1 Preprocessing
3.2 Cell Contour Detection Using Polygon Approximation of Voronoi Tessellation
3.3 Quadtree Image Representation
4 Performance and Result Analysis
4.1 Dataset and Implementation
4.2 Results of Cell Contour Detection
4.3 Results of Quadtree Representation of HGG and LGG
4.4 Effective Discriminant of LGG and HGG
5 Conclusion
References
Comparative Analysis of LSTM, Encoder-Decoder and GRU Models for Stock Price Prediction
1 Introduction
1.1 Problem Statement
1.2 Contributions
2 Literature Survey
3 Methodology
3.1 LSTM
3.2 Encoder-Decoder
3.3 GRU
4 Results and Discussion
4.1 Dataset Description
4.2 Discussion
5 Conclusion
References
Prediction of Software Vulnerabilities Using Random Forest Regressor
1 Introduction
2 Literature Review
3 Data and Methods
3.1 Dataset Used
3.2 Methodology
4 Analysis of Software Vulnerabilities
5 Results and Observations
6 Conclusion
References
Forward Solver for Electrical Impedance Tomography System for Detection of Breast Cancer Using Simulation
1 Introduction
2 Methodology
2.1 EIT Technique
2.2 Forward Solver
2.3 Block Diagram of Forward Problem of an EIT System Using COMSOL Multiphysics
3 Results
4 Conclusion
5 Future Scope
References
Smart Farming System Based on IoT for Precision Controlled Greenhouse Management
1 Introduction
2 Related Work
3 Proposed Work
3.1 Sensor Layer
3.2 Edge Layer
3.3 Cloud Layer
4 Results
5 Conclusion
References
Performance Analysis of QuickMerge and QuickInsertionMerge Algorithms
1 Introduction
2 Literature Work
3 Proposed Method
3.1 QuickMerge Sort
3.2 QuickInsertionMerge Sort
4 Results
4.1 QuickMergeSort Implementation with Various Sub-list Sizes
4.2 QuickInsertionMerge Sort
5 Conclusion and Future Scope
References
Classification of Slow and Fast Learners Using Deep Learning Model
1 Introduction
2 Slow and Fast Learners Classification
3 Deep Learning for Pattern Recognition
4 Proposed System and Implementation
4.1 Description of the Dataset
4.2 Deep Learning Model
4.3 Making the Model Robust to the Variations in the Data
4.4 K-fold Cross-Validation
5 Results
6 Conclusion
References
40 Voting Ensemble-Based Model for Sentiment Classification of Hindi Movie Reviews
Abstract
1 Introduction
2 Related Literature
3 Hindi Movie Review Sentiment Classification
4 Proposed Approach Used for Sentiment Classification of Hindi Movie Reviews
4.1 Dataset Collection
4.2 Preprocessing of Dataset
4.3 Feature Extraction
4.4 Dataset Splitting
4.5 Brief Description of the Classifiers Used
4.5.1 Decision Tree (DT)
4.5.2 Support Vector Machine (SVM)
4.5.3 Naïve Bayes (NB)
4.5.4 K-Nearest Neighbor (KNN)
4.5.5 Logistic Regression (LR)
4.5.6 Random Forest (RF)
4.5.7 AdaBoost (AB)
4.6 Evaluation of Metrics
5 Results and Evaluation
6 Conclusion
References
Brain Tumor Detection with Artificial Intelligence Method
1 Introduction
2 Related Work
3 Methodology
3.1 Support Vector Machine
3.2 Convolution Neural Network
4 Experimental Setup
4.1 Dataset
4.2 Simulation
4.3 Performance Measures
5 Results
6 Conclusion
References
Drowsy Driver Detection Using Galvanic Skin Response
1 Introduction
1.1 The Nervous System
1.2 Galvanic Skin Response and Driver Alertness
2 Circuit Design Configuration and Setup
2.1 Voltage Divider Method for SCL Measurement
3 Readings and Inferences
4 Conclusion
References
A Vocabulary-Based Framework for Sentiment Analysis
1 Introduction
2 Literature Review
3 Proposed Framework
4 Result
5 Conclusion
6 Future of Opinion Mining
References
Decentralized Framework to Strengthen DevOps Using Blockchain
1 Introduction
2 Related Work
3 System Architecture for the Proposed Framework
4 Implementations and Results
4.1 Continuous Development
4.2 Continuous Integration and Delivery
4.3 Significances of Proposed System
4.4 Performance Evaluation
5 Conclusion
References
Application of Machine Learning for Analysis of Fruit Defect: A Review
1 Introduction
2 Literature Review
3 Methodology
3.1 Use of Surface Color Analysis
3.2 Feature Extraction
3.3 Feature Selection
3.4 Tomography
3.5 Automation Process
4 Result
5 Conclusion
References
COVID-19 Data Clustering Using K-means and Fuzzy c-means Algorithm
1 Introduction
2 Literature Review
3 K-mean and Fuzzy c-mean Clustering
3.1 K-means
3.2 Fuzzy c-means
4 Methodology
4.1 Radiology Image Acquired
4.2 Image Preprocessing and Characteristic Extraction
4.3 Clustering Model Creation and Image Clustering
4.4 Performance Evaluation
5 Results
5.1 Silhouette Coefficient Score
5.2 Davis Bouldin Score
5.3 Calinski Harabasz Score
6 Conclusion
References
Body Temperature and Oxygen Level Detection System
1 Introduction
2 Methodology
3 Virus Background
3.1 How It Targets the Patient?
4 System Functionality
4.1 Components Used
4.2 How It Functions?
5 Result
6 Conclusion
References
Generating ISL Using Audio Speech
1 Introduction
2 Indian Sign Language
2.1 History of Indian Sign Language
2.2 Grammar of ISL
3 Literature Survey
4 Proposed Work
5 Comparison with Existing Models
6 System Architecture
7 Natural Language Processing (NLP)
7.1 Tokenization
7.2 Parsing
7.3 Lemmatization
7.4 Parts of Speech Tagging
7.5 Natural Language Generation
7.6 Semantic Relationship Detection
8 HamNoSys Symbol
9 Implementation
10 Conclusion
References
Classification of Patient’s Heartbeat Obtained by ECG Using Active Learning
1 Introduction
2 Background Study
3 Methods
3.1 Feature Extraction
3.2 Classification
4 Classifier Performance
4.1 Active Learning
4.2 Clinical Experiments
5 Conclusion and Future Work
References
Career Path Prediction System Using Supervised Learning Based on Users’ Profile
1 Introduction
1.1 Predictive Analytics
1.2 Supervised Machine Learning
1.3 Definitions
1.4 Objective and Challenges
2 Literature Review
3 Proposed Methodology
3.1 Offline Career Counseling
3.2 Online Career Counseling
3.3 Social Media: An Approach
3.4 Dataset
3.5 Implementation of Algorithm
4 Result
4.1 GUI Outputs
5 Conclusion and Future Work
References
An Improved Technique for Risk Prediction of Polycystic Ovary Syndrome (PCOS) Using Feature Selection and Machine Learning
1 Introduction
2 Literature Survey
3 Methodology
4 Results and Discussion
4.1 Results Using Preprocessed Dataset with Full Features
4.2 Result Using Chi-Square Feature Selection Method
4.3 Results Using Mutual Information (MI) Feature Selection Method
4.4 Results Using ANOVA F-Test Feature Selection Method
5 Discussion
6 Conclusion
References
Fog-Enabled Framework for Patient Health-Monitoring Systems Using Internet of Things and Wireless Body Area Networks
1 Introduction
2 Related Work
3 Material and Method
3.1 Sensor Layer
3.2 Fog Layer
3.3 Cloud Layer
4 Results and Discussion
4.1 Experimental Setup
4.2 Experimental Results
5 Conclusion
References
Robust Control of Proton Exchange Membrane Fuel Cell (PEMFC) System
1 Introduction
2 MIMO System of PEMFC
2.1 Control Schemes
3 Simulation Results
4 Conclusion
References
Popularity-Based BERT for Product Recommendation
1 Introduction
1.1 Content-Based Recommendation System
1.2 Collaborative Filtering Based
1.3 Hybrid
2 Related Work
3 Proposed Approach
3.1 Popularity-Based Recommendation System
3.2 Data Collection
3.3 Fine-Tuning BERT Model
3.4 Popularity-Based Recommendation Process
4 Conclusion
References
A Novel Segmentation-Free Approach for Handwritten Sentence Recognition
1 Introduction
2 Methodology Adopted
2.1 Dataset Description
2.2 Model Description
2.3 Experimental Setup
3 Results
4 Discussion and Conclusion
References
Decision-Making in Mask Disposal Techniques Using Soft Set Theory
1 Introduction
2 Preliminaries
2.1 Waste Survey of India
2.2 Definition
3 Selecting Best Technique Using Soft Set Theory
3.1 Methodology
3.2 Analysis
3.3 Tabular Presentation of a Soft Set
4 Conclusion
References
Computational Analysis of PID and PSO-PID Optimization for MIMO Process Control System
1 Introduction
2 Coupled Tank System
3 Mathematical Model of Tank
4 Controller Performance for Coupled Tank
4.1 Coupled Tank Response for PID Controller
5 Particle Swarm Optimization
5.1 Particle Swarm Optimization: Concept
5.2 Particle Swarm Optimization: Parameters and Values
5.3 Implementation of PSO-PID Using MATLAB Simulink
6 Performance Analysis and Discussion
7 Conclusion
References
Comparative Soil Parameters Anatomization Using ML to Estimate Fertility in Kitchen Garden
1 Introduction
2 Literature Survey
3 Methodology
3.1 Dataset Accumulation
3.2 Data Processing
3.3 Python Application
3.4 Accuracy
3.5 Visualization of Data
4 Results
5 Conclusion and Future Scope
References
Development of Submarine Simulation for Assessment of Cognitive Skills
1 Introduction
2 Related Works
2.1 Situation Awareness
2.2 Attention
3 Implementation
3.1 Classification Task
3.2 Torpedo Avoidance Task
3.3 Access Code and Information Sending Task
3.4 Close Quarter Maneuvering
4 Results
5 Conclusion
References
Road Lane Line and Object Detection Using Computer Vision
1 Introduction
2 Related Work
3 Proposed Method
3.1 Lane Detection on Static Images
3.2 Lane Detection on Video File
4 Result
5 Conclusion
References
Evaluation of Support Vector Machine and Binary Convolutional Neural Network for Automatic Medicinal Plant Species Identification
1 Introduction
2 Background
3 Methodology
3.1 Dataset Description
3.2 Architecture
4 Results
5 Conclusion
References
Implementation of All-Optical Logic Gates AND, OR, NOT, XOR Using SOA at 100 Gb/s
1 Introduction
2 Proposed Schematic
2.1 Optical Amplifiers
2.2 Cross-Phase Modulation (XPM)
2.3 Mach–Zehnder Interferometers (MZIs)
2.4 NOT Gate
2.5 OR Gate
2.6 AND Gate
2.7 XOR Gate
3 Simulation Results
3.1 NOT Gate
3.2 OR Gate
3.3 AND Gate
3.4 XOR Gate
References
An Efficient Hybrid Approach for Malware Detection Using Frequent Opcodes and API Call Sequences
1 Introduction
2 Related Work
3 System Outline
4 Experimental Evaluation
5 Conclusion
References
Exploring the Emotion Recognition in Speech Using Machine Learning
1 Introduction
2 Proposed Method
3 Databases
3.1 Surrey Audio–Visual Expressed Emotion (SAVEE)
3.2 Ravdess Dataset
3.3 Crowd-Sourced Emotional Multimodal Actors Dataset (Crema-D)
3.4 Toronto Emotional Speech Set (TESS)
3.5 Combining the Four Datasets
4 Feature Extraction and Selection
5 Result and Finding
6 Conclusion and Future Scope
References
Deep Learning Framework for Compound Facial Emotion Recognition
1 Introduction
2 Related Work
3 Dataset Overview
4 Proposed Methodology
4.1 Inception v3 (2015)
5 Results
5.1 Available Metrics
5.2 Confusion Matrix of CFEE Database
5.3 Emotion Analysis on CFEE Sample Test Image
5.4 Accuracy Score
6 Conclusion and Future Work
References
Sustainably Nurturing a Plant (SNAP) Using Internet of Things
1 Introduction
2 Literature Review
3 Methodology
3.1 Understanding Plant Health for Prototype Design
3.2 Design and Protocol
3.3 Branding
3.4 Features of Prototype
4 Results
5 Conclusion
References
Monitoring Senior Citizens Using IoT and ML
1 Introduction
2 Methodology
3 Results
4 Conclusion
References
Analysis of Indian Rice Quality Using Multi-class Support Vector Machine
1 Introduction
2 Related Work
3 Materials and Methods
3.1 Sample Collection
3.2 Image Acquisition
3.3 Image Preprocessing Module
3.4 Image Segmentation
3.5 Feature Extraction Module
4 Results and Discussion
5 Conclusions and Future Work
References
COVID Detection Using Cough Sound
1 Introduction
2 Literature Review
2.1 Developed Technology and Past Works
3 Proposed Work
3.1 Implementation
3.2 Algorithm Implementation
4 Results
5 Conclusion
References
Design of AMBA AHB Master and Implementing It on FPGA
1 Introduction
2 Architecture of AMBA AHB Protocol
3 Working of AMBA AHB
4 Results and Discussions
5 Conclusion
References
An Empirical Study on the Future of Publication Repositories and Its Adaptability in Public universities—A Case Study of Shaqra University, Saudi Arabia
1 Introduction
2 Specifications Table
2.1 Data Description
2.2 Data Value
3 Experimental Details
3.1 Results of the Analytics on the Data Obtained
4 Conclusion
References
The POPIA 7th Condition Framework for SMEs in Gauteng
1 Introduction
1.1 Importance and Contribution of the Study
2 Literature
2.1 Information Security and Components
2.2 Incidents that Affect E-Commerce Sites
2.3 Small Medium Enterprises
2.4 Iso 27001/27002
2.5 COBIT 5 for Information Security
2.6 Data Privacy Legislation Globally
2.7 Reported Data Breaches
2.8 Benefits of Compliance
3 Methods
4 Results and Discussion
5 Proposed Framework
5.1 Method Used to Develop the Framework
6 Conclusion
References