Innovations in Information and Communication Technologies: Proceedings of ICIICT 2022 (Algorithms for Intelligent Systems)

Organization
Preface
Contents
About the Editors
1 Deep Learning Model for Arrhythmia Classification with 2D Convolutional Neural Network
	1 Introduction
	2 Related Works
	3 Materials and Methods
		3.1 Experimental Setup
		3.2 Methodology
		3.3 Convolutional Neural Network
		3.4 Arrhythmia Binary Classifier (ARBC)
		3.5 Arrhythmia Multi-class Classifier (ARMC)
	4 Results and Discussion
	5 Conclusion
	References
2 Sign Language Recognition System for Deaf People
	1 Introduction
	2 Literature Review
	3 System Design and Workflow
	4 Experimentation
	5 Results and Discussion
	6 Future Scope
	7 Conclusion
	References
3 Efficient Question Answering in Chatbot Using TF-IDF and Cosine Similarity
	1 Introduction
	2 Related Work
	3 Proposed Method
	4 Result
	5 Conclusion
	References
4 Power Allocation Scheme Based on DRL for CF Massive MIMO Network with UAV
	1 Introduction
		1.1 Related Work
		1.2 Motivation
		1.3 Contributions
		1.4 Organisation
	2 System Model
		2.1 Estimation of Channel and Pilot Transmission
		2.2 Uplink Data Transmission
	3 Proposed Solution
		3.1 Markov Decision Process
		3.2 Centralised Optimisation
	4 Evaluation of the Performance
		4.1 Simulation Parameters
	5 Conclusion
	References
5 Machine Learning Techniques for Predicting Dengue Outbreak
	1 Introduction
	2 Related Work
	3 Study Area and Data Resources
	4 Methodology
		4.1 Dataset Preprocessing
		4.2 Interpolation
		4.3 Time Series Forecasting with Random Forest
		4.4 Gradient Boosting for Time Series Prediction
		4.5 Performance Measures
	5 Results and Discussion
	6 Conclusion
	References
6 Human Activity Recognition Using Wearable and Inertial Sensors
	1 Introduction
	2 Proposed Methodology
	3 Dataset Description
	4 Results and Discussion
		4.1 Based on WISDM Dataset
		4.2 Based on KU-HAR Dataset
		4.3 Performance Evaluation
	5 Conclusion
	References
7 Concern Levels During COVID-19: An AI-Based Approach for Social Media Analysis
	1 Introduction and Related Work
	2 Data and Methods
		2.1 Datasets Used
		2.2 Data Collection
		2.3 Data Preprocessing
		2.4 RoBERTa
		2.5 Social Media Metric
		2.6 Change Point Detection
	3 Experimental Results
		3.1 Training Data Preparation
		3.2 Model Performance
		3.3 Generating PCI Time Series
		3.4 Change Points in PCI Time Series
	4 Discussion
	5 Conclusion
	References
8 An Assessment of Application of Artificial Intelligence in Retail
	1 Introduction
		1.1 Background of the Study
		1.2 Research Methodology
	2 Bibliometric Analysis
	3 Analysis
		3.1 Digitization of Retail
		3.2 Future of Digital Formats in Retailing
		3.3 Retailing Innovation
		3.4 Data Confidentialities and Apprehensions
		3.5 AI, AR, and Interactive Technologies in Retail
	4 Scope for Future Research
	5 Conclusion
	References
Author Index