Machine Learning in Information and Communication Technology : Proceedings of ICICT 2021, SMIT

This book presents collection of research papers presented at International Conference on Information and Communication Technology (ICICT 2021) organized by Department of Information Technology, Sikkim Manipal Institute of Technology, Sikkim, India, during 23–24 December 2021. The book includes papers in the research area of communication networks, data science, healthcare informatics, bio-medical image processing, security of information including cryptography, machine learning applications, and AI applications. Preface Contents Editors and Contributors Healthcare Informatics Earth Mover’s Distance-Based Automated Disease Tagging of Indian ECGs 1 Introduction 2 Literature Review 2.1 Earth Mover’s Distance 2.2 Various Distances 3 Statistics of ECG Training and Test Data Set 3.1 Data Set 3.2 EMD-Based Analysis of Training Data 3.3 ECG Tagging with EMD 3.4 Algorithmic Framework Setup 4 Conclusion References Cardial Disease Prediction in Multi-variant Systems Using MT-MrSBC Model 1 Introduction 2 Related Works 3 Methodology 4 System Architecture 5 Experimental Approach 6 Future Works 7 Conclusion References SVM-based Pre- and Post-treatment Cancer Segmentation from Lung and Abdominal CT Images via Neighborhood-Influenced Features 1 Introduction 2 Proposed Work 2.1 Feature Extraction 2.2 Model Building and Validation 3 Experiments and Results 3.1 Description of Image Dataset 3.2 Results 4 Performance Analysis 5 Conclusion References Blood Cancer Detection with Microscopic Images Using Machine Learning 1 Introduction 2 Literature Survey 3 Proposed System 4 Simulation Results 5 Conclusion References A Survey on Machine Learning-Based Approaches for Leukaemia Detection 1 Introduction 1.1 Classification of Leukaemia 2 Literature Survey 3 Methodology 4 Result and Analysis 5 Conclusion References Periocular Region Recognition—A Brief Survey 1 Introduction 2 Biometric System of Periocular Region Recognition 3 Benchmark Dataset for Periocular Recognition 4 Detection and Segmentation of the Periocular Region 5 Feature Descriptors of Periocular 5.1 Global Features 5.2 Local Features 6 Conclusion and Future Scope for Research References A Bibliometric Analysis on the Relationship Between Emotional Intelligence, Self-Management and Health Information Seeking 1 Introduction 2 Discussion 3 Research Methodology 3.1 Study Characteristics 3.2 Co-citation Analysis 4 Conclusion References Preferences in the Detailing Process Among Young and Senior Physicians 1 Introduction 1.1 Contributions Made in the Paper 2 Literature Review 3 Methodology 4 Results and Discussion 5 Conclusion References Non-cognitive Differences on Social Media Branded Drugs Promotion: Study of Indian Patients and Physicians 1 Introduction 2 Literature Review 3 Methodology and Data 4 Result 5 Discussion 6 Conclusion References AUTCD-Net: An Automated Framework for Efficient Covid-19 Diagnosis on Computed Tomography Scans 1 Introduction 2 Materials and Methods 2.1 Dataset 2.2 Proposed Architecture 3 Experimentation 4 Conclusion References Computer-Aided Detection of Brain Midline Using CT Images 1 Introduction 2 Methodology 2.1 Slice Selection 2.2 Soft Tissues Segmentation 2.3 Control Point Estimation 3 Results and Comparison 4 Conclusion References Deep Neural Network-Based Classification of ASD and Neurotypical Subjects Using Functional Connectivity Features Derived from Resting-State fMRI Data 1 Introduction 2 Methodology 2.1 Dataset 3 Feature Extraction 3.1 Tools 3.2 Model 4 Result and Discussion 5 Conclusion References Application of Deep Learning in Healthcare 1 Introduction 2 Literature Survey 3 Complete Framework Details 4 Proposed Deep Learning Classification Model 4.1 Dataset Description 4.2 Steps Involved 5 Results 6 Conclusion and Future Scope References Recommendation Systems A Popularity-Based Recommendation System Using Machine Learning 1 Introduction 2 Literature Survey 3 Methodology 4 Result and Discussion 5 Conclusion References Machine Learning-Based Movies and Shows Recommendation System 1 Introduction 2 Literature Review 3 Proposed Methodology 4 Results and Discussion 5 Conclusion References Communication Networks A Survey on Application of LSTM as a Deep Learning Approach in Traffic Classification for SDN 1 Introduction 2 Related Works 3 Deep Learning for Traffic Classification in SDN 4 Long Short-Term Memory: An Overview 5 LSTM Application 6 LSTM-Based Traffic Classification in SDN 7 A Summary of the Methods and Limitations 8 Future Works 9 Conclusion References Assistive Technology A Novel Low-cost Visual Aid System for the Completely Blind People 1 Introduction 2 Literature Survey 3 Proposed System 4 Simulation Results 5 Conclusion References Social Networks Twitter Sentiment Analysis Using Machine Learning Techniques: A Case Study Based on Farmers Protest 1 Introduction 2 Related Work 3 Proposed Method 4 Results 5 Conclusion References Sentiment Analysis to Find Sentence Polarity on Tweet Data 1 Introduction 2 Literature Survey 3 Motivation 4 Methodology 5 Implementation 6 Results and Discussion 7 Conclusion and Future Scope References Impact of Emotional Support and Medical Adherence on Social Media Branded Drug Promotion 1 Introduction 2 Literature Review 3 Methodology and Data 4 Conclusion and Future Scope References Image and Video Processing A Survey on Video Description and Summarization Using Deep Learning-Based Methods 1 Introduction 2 Related Work 3 Existing Methodology & Implementation 4 Datasets 5 Benchmark Results 6 Future Directions 7 Conclusion References Aerial Image Classification Using Convolution Neural Network 1 Introduction 2 CNN for Image Classification 2.1 Choice of GoogLeNet 2.2 Layers of GoogLeNet 2.3 Inception Modules of GoogLeNet 3 Transfer Learning 3.1 Layer Modification, Network Retraining and Testing 3.2 Overfitting and Its Challenges 4 The Experiment 4.1 Experimental Protocol for Data Acquisition 4.2 Dataset Processing 4.3 Network Model Preparation 4.4 Training 4.5 Testing 4.6 Result 5 Challenges in Image Classification of Aerial Images for Object Detection 6 Conclusion References Image Retrieval Using Neural Networks for Word Image Spotting—A Review 1 Introduction 2 CBIR Framework 3 Low-Level Features 3.1 Color Feature 3.2 Texture Feature 3.3 Shape Feature 4 Similarity Matching in CBIR 4.1 Euclidean Distance (ED) 4.2 Manhattan Distance (MD) 4.3 Chebyshev Distance (CD) 4.4 Mahalanobis Distance (MahD) 5 Machine Learning in CBIR 5.1 Supervised Learning Models 5.2 Unsupervised Learning Models 6 Neural Networks in CBIR 6.1 Types of Neural Network 6.2 Deep Learning 6.3 Neural Network and Deep Learning-Based Approaches for Word Image Spotting 7 Discussions and Future Trends 8 Conclusion References Cybersecurity Priority-Based Mitigation in Education Sector using Machine Learning 1 Introduction 2 Risk Mitigation 3 Proposed Work 4 Conclusion and Discussion References Miscellaneous Applications Prediction and Analysis of Air Quality Index Using Machine Learning Algorithms 1 Introduction 2 Literature Review 3 Methodology 3.1 Area of Investigation and Datasets 3.2 Pattern Recognition Methods 4 Results and Discussion 5 Conclusion References A Short Overview on Various Bio-Inspired Algorithms 1 Introduction 1.1 Artificial Bee Colony (ABC) Algorithm 1.2 Fish Swarm Algorithm (FSA) 1.3 Cat Swarm Optimization (CSO) 1.4 Whale Optimization Algorithm (WOA) 1.5 Artificial Algae Algorithm (AAA) 1.6 Elephant Search Algorithm (ESA) 1.7 Chicken Swarm Optimization Algorithm (CSOA) 1.8 Moth Flame Optimization (MFO) 1.9 Grey Wolf Optimization (GWO) 1.10 Firefly Optimization (FFO) 2 Conclusion References Gesture-Based Drawing Application: A Survey 1 Introduction 2 Literature Survey 3 Methodologies 4 Conclusion References Simulation and Modeling of Electrical Load Data Using Machine Learning 1 Introduction 2 Simulation and Modeling of the Data 2.1 Generalized Linear Model 2.2 Decision Tree Model 2.3 Random Forest Model 2.4 Gradient Boosted Trees Model 3 Result and Discussion 4 Conclusion References Analysis of Single Missing Gate Faults in Quantum Circuit 1 Introduction 2 Background 2.1 Quantum Computing (QC) 2.2 Quantum Gates and Circuit 2.3 Faults in Quantum Circuit 2.4 Related Works 3 Proposed Methodology 3.1 Probability Distribution 3.2 Detection of Fault 4 Experimental Analysis 5 Conclusion References Experimental Validation of Frequency Scaling Over Indian Hilly Region 1 Introduction 2 Collection of Data 3 Methodology 4 Result 5 Summary/Conclusion References School Uniform Identification Using Deep Learning Based Approach 1 Introduction 2 Related Work 3 School Uniform Identification Using Deep Learning Based Approach 3.1 System Architecture 3.2 Implementation 4 Conclusion References Author Index