Key Digital Trends in Artificial Intelligence and Robotics. Proceedings of 4th International Conference on Deep Learning, Artificial Intelligence and Robotics, (ICDLAIR) 2022 - Progress in Algorithms and Applications of Deep Learning

Preface
Organization
Contents
A Study Review of Neural Audio Speech Transposition over Language Processing
	1 Introduction
	2 Brief Background
	3 Methodology
		3.1 Statistical Approach
		3.2 Experimental Setup and Evaluation Protocol
		3.3 CNN Model
		3.4 LSTM
		3.5 Attention Mechanism
		3.6 Findings and Limitation
	4 Impact of Result
	5 Conclusion
	References
DCNN Based Disease Prediction of Lychee Tree
	1 Introduction
	2 Literature Review
	3 Proposed Methodology
		3.1 Dataset
		3.2 Data Pre-processing
		3.3 Model Evaluation
		3.4 InceptionV3
		3.5 VGG16
		3.6 MobileNet
		3.7 NASNetMobile
		3.8 Parameter Setting
	4 Result and Discussion
	5 Conclusion
	References
MEVSS: Modulo Encryption Based Visual Secret Sharing Scheme for Securing Visual Content
	1 Introduction
	2 Related Work
	3 Proposed Algorithm
	4 Performance Analysis
	5 Results and Discussion
	6 Conclusion
	References
Analysis of Bangla Transformation of Sentences Using Machine Learning
	1 Introduction
	2 Literature Review
		2.1 Comparison
	3 Methodology
		3.1 Dataset Preparation
		3.2 Data Collection
		3.3 Preprocessing of Data
		3.4 Data Vectorization or Distribution
	4 Model and Performance
		4.1 Proposed Model
		4.2 Model Performance
	5 Result and Discussion
	6 Conclusion
	References
Towards a Novel Machine Learning and Hybrid Questionnaire Based Approach for Early Autism Detection
	1 Introduction
	2 Related Works
	3 Hybridisation Approach
	4 Experimental Setup
		4.1 Hybrid Questionnaire
		4.2 Data Collection
		4.3 Models Testing and Results
	5 Discussion and Evaluation
	6 Conclusion and Perspectives
	References
Bi-RNN and Bi-LSTM Based Text Classification for Amazon Reviews
	1 Introduction
	2 Related Work
	3 Proposed Model
		3.1 Bi-RNN Model for the Amazon Review Binary Classification
		3.2 Bi-LSTM Model for the Amazon Review Binary Classification
	4 Result Analysis
		4.1 Dataset
		4.2 Training/Testing Procedure
		4.3 Results
	5 Conclusion
	References
Resource Utilization Tracking for Fine-Tuning Based Event Detection and Summarization Over Cloud
	1 Introduction
	2 Related Work
	3 Proposed Approach
		3.1 Virtual Machine Scheduling Using OpenStack Cloud
		3.2 YOLOv5 Based Model Training and Fine Tuning
	4 Results and Discussion
		4.1 Comparison with Related Works
	5 Conclusion
	References
Automatic Fake News Detection: A Review Article on State of the Art
	1 Introduction
	2 Existing Works
		2.1 Evaluation Metrics
		2.2 Content-Based Fake News Detection
		2.3 Context-Based Fake News Detection
		2.4 Hybrid Fake News Detection
	3 Datasets
	4 Discussion
	5 Conclusion
	References
Cascaded 3D V-Net for Fully Automatic Segmentation and Classification of Brain Tumor Using Multi-channel MRI Brain Images
	1 Introduction
		1.1 Contributions of This Work
	2 Related Work
	3 Proposed Methodology
		3.1 Data Collection and Preprocessing
		3.2 Segmentation and Feature Extraction
		3.3 Proposed Model Creation
		3.4 Performance Assessment and Comparison
	4 Results and Discussion
	5 Conclusion
	References
Computing Physical Stress During Working Shift with Deep Neural Networks
	1 Introduction
	2 Methodology
		2.1 3D Human Pose Estimation
		2.2 Worker Posture Metrics Computation
		2.3 RULA Risk Index Computing
	3 Experimental Setup
	4 Experimental Evidence
	5 Conclusion and Future Directions
	References
Trend Prediction in Finance Based on Deep Learning Feature Reduction
	1 Introduction
	2 Preliminaries
		2.1 Restricted Boltzmann Machine
		2.2 Auto-Encoders
	3 Experimental Results
		3.1 Input Features and Data Labeling
		3.2 Experiment Setting
		3.3 Model Fitting
		3.4 Performance Results
		3.5 AE vs. RBM
	4 Conclusions and Future Works
	References
A Preliminary Study on AI for Telemetry Data Compression
	1 Introduction
	2 Related Work
	3 Materials and Methods
	4 Experimental Results
	5 Discussion
	6 Conclusions
	References
On the Use of Multivariate Medians for Nearest Neighbour Imputation
	1 Introduction
	2 Preliminaries on Multivariate Medians
	3 Robust Multivariate Imputation
	4 Experiments on Artificially Generated Data
	5 Conclusions
	References
Decision Making by Applying Machine Learning Techniques to Mitigate Spam SMS Attacks
	1 Introduction
	2 Related Work
		2.1 Background
		2.2 Usage of Machine Learning Techniques for Decision-Making
		2.3 Applied Machine Learning Algorithms
		2.4 Utilising Machine Learning Techniques to Mitigate Spams
	3 Methodology
		3.1 The Delphi Decision-Making Study Method
		3.2 Software Development Methodology and Algorithms
		3.3 Data Collection and Processing
		3.4 Experimental Study and Implementation
	4 Discussions and Findings
		4.1 Delphi’s Reliability and Validity for Decision-Making
		4.2 Clustering Based Classification for Decision-Making to Mitigate Spam
	5 Conclusion
	References
Voronoi Diagram-Based Approach to Identify Maritime Corridors
	1 Introduction
	2 Problem Description
	3 Corridors Generation Procedure
		3.1 Spatial Data Transformation
		3.2 Construction of the Connectivity Graph
		3.3 Identification of Corridors
	4 Application and Results
	5 Conclusion and Future Work
	References
Author Index