Machine Intelligence for Research and Innovations: Proceedings of MAiTRI 2023, Volume 2 (Lecture Notes in Networks and Systems, 831)

The book is a collection of high-quality peer-reviewed research papers presented in the First International Conference on Machine Intelligence for Research and Innovations (MAiTRI 2023 Summit), held at Dr B R Ambedkar National Institute of Technology Jalandhar, Punjab, India during 1 – 3 September 2023. This book focuses on recent advancement in the theory and realization of machine intelligence (MI) and their tools and growing applications such as machine learning, deep learning, quantum machine learning, real-time computer vision, pattern recognition, natural language processing, statistical modelling, autonomous vehicles, human interfaces, computational intelligence, and robotics. Preface Contents Editors and Contributors Energy Management System for EV with Multiple Energy Sources 1 Introduction 2 Proposed Method 3 Methodology 4 Results and Discussion 5 Conclusion and Future Scope References Comparative Study of Hybrid/Enhanced Nature-Inspired Optimization Algorithms for Solar Photovoltaic Model 1 Introduction 1.1 PV Cell Modeling 1.2 Brief Comparison of Different Models 2 Parameter Estimation Techniques 3 Methodology 3.1 Brief Description About Algorithms 4 Hybridization of Algorithms 5 Result and Comparison 6 Conclusion References A Study on Kerberos and Graphical Password-Based Web Authentication Scheme 1 Introduction 2 Attack and Security Aspects 2.1 Password Guessing Attacks 2.2 Password Capture Attacks 3 Proposed Study and Analysis 3.1 Diffie–Hellman and Graphical Password Authentication with Kerberos 3.2 Kerberos with Graphical Password Authentication 4 Conclusion References Unsupervised Clustering of Asphalt Pavement Conditions Using Fuzzy C-Means Algorithm with Principal Component Analysis Aided Dimensionality Reduction 1 Introduction 2 Objectives and Scope 3 Data Collection and Analysis 4 Data for the Model 5 Performing FCM Clustering with R 6 Data Analysis 6.1 Fuzzy C-Means Algorithm 6.2 Principal Component Analysis 6.3 Clustering Process 7 Results and Discussion 8 Conclusion References Prediction of Heart Disease Risk in Early Ages with Boosting Techniques 1 Introduction 2 Literature Review 3 Proposed Methodology 3.1 Data Collection 3.2 Classifiers 4 Result Analysis 5 Conclusion References Approach on Machine Learning Techniques for Anomaly-Based Web Intrusion Detection Systems: Using CICIDS2017 Dataset 1 Introduction 2 Related Work 3 Dataset Description 4 Data Preprocessing 5 Proposed Methodology 5.1 Decision Tree Creation 6 Results and Discussion 7 Conclusion References Design and Development of a Charcoal-Based Sensor for Enhanced Soil Analysis in Precision Agriculture 1 Introduction 2 Charcoal Sensor Fabrication Methodology 3 Characterization of Charcoal Sensor 4 Experimental Results and Discussions 4.1 Moisture Content in Soil Detection Using Sensor 4.2 Detection of Organic Carbon (OC) in Soil Samples 5 Conclusion References IoT-Enabled Advanced Foam Firefighting E-Vehicle 1 Introduction 2 Related Work 3 Proposed Method 4 Conclusion and Future Work References Challenges and Solutions with Lightweight Models for Diabetic Retinopathy Detection 1 Introduction 2 Related Works 3 Motivation and Challenges 4 System Methodology 4.1 Dataset 4.2 System Design 4.3 Performance Evaluation 5 Conclusion References Enhancing Context-Aware Hybrid Collaborative Filtering Using DBSCAN Clustering Approach 1 Introduction 2 Preliminaries 2.1 Hybrid Collaborative Filtering 2.2 DBSCAN Clustering 3 Proposed Method 3.1 Hybrid Collaborative Filtering Using DBSCAN Clustering Approach 3.2 Incorporating Contextual Post-filtering Method 3.3 Methodology 4 Dataset Description 5 Evaluation and Comparison 6 Conclusion References Machine Learning Hybrid Approach for the Diagnosis of Parkinson’s Disease Using Electroencephalogram: A Comparative Analysis 1 Introduction 2 Methodology 2.1 Study Material 2.2 Data Preprocessing 2.3 Feature Extraction 2.4 Classification 3 Data Augmentation Methods for EEG Data 3.1 Time-Shifting 3.2 Adding Noise 3.3 Filtering EEG Data 3.4 Subsampling 3.5 Synthesis of EEG Data Using GAN 4 Results and Discussion 4.1 Results Without Using Augmented Data 4.2 Results with Augmented Data 5 Discussion 6 Conclusion References Global Horizontal Irradiance Estimation Using Bi-LSTM Algorithm 1 Introduction 2 Literature Review 3 Dataset 3.1 Data Preprocessing Step 3.2 Model Algorithms 3.3 Performance Evaluation 4 Proposed Methodology 5 Result and Discussion 6 Conclusion References Hubs and Authorities in Social Network Analysis Using HITS Algorithm Combined with Sentiment Score 1 Introduction 2 Related Works 3 Material and Methods 3.1 Dataset Used 4 Architecture and Working 4.1 Flowchart 5 Experimental Results 5.1 Creating a Hub Network Using S-HITS Algorithm 5.2 Creating an Authority Network S-HITS Algorithm 5.3 Analysis 6 Conclusion References Real-Time Road Lane Detection for Self-driving Cars Using Computer Vision 1 Introduction 2 Literature Review 2.1 Self-driving Car Systems 2.2 Lane Detection 2.3 Stereo Vision 3 Methodology 3.1 Simulator 3.2 Dataset 3.3 Data Augmentation and Preprocessing 3.4 Model Formulation 4 Experimental Result Analysis 5 Conclusion and Future Scope References Unveiling Worldwide Prospects and Challenges in Implementing Telematics Technologies in Electric Vehicles 1 Introduction 2 State-of-the-Art Analysis 3 Implementation of Telematics 4 Opportunities in Adoption of Telematics in EV 5 Challenges in Implementation of Telematics in EV 6 Conclusion References Application of Dragonfly Algorithm-Based Interval Type-2 Fuzzy Logic Closed-Loop Control System to Regulate the Mean Arterial Blood Pressure 1 Introduction 2 Description of Patient Model 3 Interval Type-2 Fuzzy Logic P + ID Control Scheme 4 Optimization Algorithm: Dragonfly Algorithm 5 Results and Discussion 6 Conclusions References Detection of Heart Failure by Using Machine Learning 1 Introduction 2 Literature Review 3 Methodology 4 Dataset Details 5 Statistical Analysis 6 Statistical Analysis 7 Conclusion and Future Scope References Crop Yield Prediction in India Using Machine Learning Model 1 Introduction 2 Literature Review 3 Methodology 3.1 Dataset 3.2 Data Preprocessing 3.3 Trained and Testing Data 3.4 Statistical Analysis 4 Predictive Analysis 5 Conclusion and Future Scope References Enhancing Transformer Tracking Using NF-ResNet and ResNeXT Backbones 1 Introduction 2 Literature Survey 3 Proposed Methodology 3.1 TransT with ResNeXt 3.2 TransT with NF-ResNet 4 Experimental Results and Evaluation 4.1 Training 4.2 Evaluation 5 Conclusion and Future Work References Machine Learning Approach for Thermal Characteristics and Improvement of Heat Transfer of Nanofluids—A Review 1 Introduction 1.1 ANN Modelling 2 ML for Thermophysical Properties 2.1 Thermal Conductivity of nanofluid 2.2 Specific Heat 2.3 Viscosity 2.4 Density 3 Conclusions References State-of-the-Art and Development of 6G Communications 1 Introduction 2 Driving Forces Toward 6G 3 6G Quality Aspects 4 Dreams Turning to Reality 5 Novel 6G Technologies 5.1 Holographic Communication 5.2 TeraHertz Communication 5.3 Molecular Communication 5.4 Digital Twin 5.5 Reconfigurable Reflecting Surfaces 5.6 Orthogonal Time Frequency Space 5.7 Miscellaneous 6 Observations and Results 7 Present Difficulties and Future Recommendations 7.1 Fusion of Technologies 7.2 Dynamic Spectrum Utilization 7.3 Flexible System 7.4 New Modulation Schemes 8 Conclusion References Artificial Intelligence Technologies-Assisted 6G 1 Introduction 2 The Need for 6G 3 Use Cases of 6G 3.1 Ubiquitous Mobile Broadband (UMBB) 3.2 Massive Ultra-reliable Low Latency Communication (mULC) 3.3 Ultra-reliable Low Latency Broadband Communication (ULBC) 4 Need for AITs 5 Merits and Cons of AI-Enabled Wireless Communication Systems 5.1 Merits of AIT 5.2 Cons of AIT 6 AI-Assisted New Enabling Technologies in 6G 7 Observation and Results 8 Current Challenges and Future Recommendations 9 Conclusion References Testing and Development of a Multi-Object Tracker Based on Deep Learning Techniques 1 Introduction 2 Literature Review 3 Proposed Methodology 3.1 Base Model (TransTrack) 4 Result and Discussion 4.1 Training 4.2 Dataset Description 4.3 Training 5 Conclusion References Design and Modeling of Small Horizontal Axis Wind Turbine Blade for Low Wind Speed Characteristics 1 Introduction 2 Literature Review 3 Methodology 4 Conclusion References Enhancement of Edge Security Using Dynamic Load-Balancing Algorithm for 5G Cloud Computing Network 1 Introduction 1.1 Cloud Computing 2 Load Balancing 2.1 Static Load-Balancing Algorithms 2.2 Dynamic Load-Balancing Algorithms 3 Cloud Computing in 5G 4 Impact of Cloud on 5G 5 Dynamic Load-Balancing Technique Using 5G in Edge Computing 6 Proposed Algorithm of Dynamic Load Balancing in 5G Cloud 7 Model Process During Compilation 8 Conclusion and Future Work References Exploring Sensor Technologies and Automation Levels in Autonomous Vehicles 1 Introduction 2 Literature Review 3 Methodology 3.1 Design 3.2 Instrument 3.3 Data Collection 3.4 Data Analysis 4 Result and Discussion 5 Conclusion References Investigation and Stimulating the Effect of Cyber-Physical Systems in Modern World 1 Introduction 2 Literature Review 3 Characteristics of Cyber-Physical System 4 Applications of Cyber-Physical System 5 Cyber-Physical System Advantages 6 Discussion 7 Conclusion References Artificial Intelligence Revolution in Healthcare: From Patient Care to Disease Diagnosis 1 Introduction 2 Literature Review 3 Methodology 3.1 Design 3.2 Sample 3.3 Data Collection 3.4 Data Analysis 4 Result and Discussion 5 Conclusion References Bayesian Models for Weather Prediction: Using Remote Sensing Data to Improve Forecast Accuracy 1 Introduction 2 Literature Review 2.1 Bayesian Model for Forecasting 2.2 Interferences 2.3 Validating a Bayesian Model Forecast 2.4 Emerging the Numerical Atmospheric Models with Bayesian Model 2.5 Mathematical Models of the Atmosphere 3 Methodology 3.1 Data Collection 3.2 Bayesian Model 3.3 Pre-processing and Data Integration 4 Results and Discussion 5 Conclusion References The book is a collection of high-quality peer-reviewed research papers presented in the First International Conference on MAchine inTelligence for Research & Innovations (MAiTRI 2023 Summit), held at Dr B R Ambedkar National Institute of Technology Jalandhar, Panjab, India during 1 3 September 2023. This book focuses on recent advancement in the theory and realization of machine intelligence (MI) and their tools and growing applications such as machine learning, deep learning, quantum machine learning, real-time computer vision, pattern recognition, natural language processing, statistical modelling, autonomous vehicles, human interfaces, computational intelligence, and robotics.