Information, Communication and Computing Technology: 8th International Conference, ICICCT 2023, New Delhi, India, May 27, 2023, Revised Selected ... in Computer and Information Science, 1841)

✍ Scribed by Jemal Abawajy (editor), Joao Tavares (editor), Latika Kharb (editor), Deepak Chahal (editor), Ali Bou Nassif (editor)

• Publisher: Springer
• Year: 2023
• Tongue: English
• Leaves: 204
• Category: Library

✦ Synopsis

This book constitutes the refereed proceedings of the 8th International Conference on Information, Communication and Computing Technology, ICICCT 2023, held in New Delhi, India, during May 27, 2023.
The 14 full papers included in this book were carefully reviewed and selected from 60 submissions. They were organized in topical sections as follows: global platform for researchers, scientists and practitioners from both academia and industry to present their research and development activities in all the aspects of Pattern Recognition and computational Intelligence techniques.

✦ Table of Contents

Preface
Organization
Contents
Intelligent Systems
Using BERT for Swiss German Sentence Prediction
1 Introduction
1.1 Problem Statement
1.2 Research Questions
2 Literature Review
2.1 Power of BERT
2.2 Multilingual BERT
2.3 The Swiss German Struggle
2.4 Audio BERT
2.5 Research Gap
3 Research Design
4 Experiments
4.1 Architecture Overview and Application Concept of BERT
4.2 Adaptation and Application Scenario of BERT
5 Results
6 Conclusion
Appendix - Examples of Masked Sentence Predictions
References
An ARIMA and XGBoost Model Utilized for Forecasting Municipal Solid Waste Generation
1 Introduction
2 Related Work
3 Material and Methods
3.1 Study Area Information
3.2 Data Acquisition and Preparation
3.3 XGBoost
3.4 ARIMA
4 Experiments and Results
5 Conclusion and Future Work
References
An Empirical Study of Intrusion Detection by Combining Clustering and Classification Methods
1 Introduction
2 Related Work
3 Methodology
4 Results and Discussion
5 Conclusion
References
Personalized Movie Recommendation Prediction Using Reinforcement Learning
1 Introduction
2 Related Work
2.1 Reinforcement Learning for Recommendation
2.2 Novelty of Our Approach
3 Methodology
3.1 Data Cleaning and Visualization
3.2 RL Algorithm
4 Experimental Setup
4.1 Dataset
5 Results and Discussion
5.1 Evaluation Metrics
5.2 Analysis of Recommendations
5.3 Limitations and Future Work
6 Conclusions and Perspective
References
An Ensemble and Deep Neural Network Based Approaches for Automated Sentiment Analysis
1 Introduction
1.1 Challenges
1.2 Contributions of the Paper
2 Literature Review
2.1 Machine Learning Approach
2.2 Deep Learning Approach
2.3 Hybrid Model Approach
3 Methodology
3.1 Dataset and Pre-Processing
3.2 Ensemble Model
3.3 Implementation Using Bidirectional Long Short-Term Memory
3.4 Implementation Using Bidirectional Encoder Representations from Transformers (BERT)
3.5 The Proposed Hybrid CNN-LSTM Model
3.6 Evaluation Metrics
4 Results and Discussion
4.1 Results Obtained
4.2 Findings Based on Models Used Machine Learning Results
5 Conclusion and Future Works
References
In-store Product Placement Using LiDAR-Assisted Discrete PSO Algorithm
1 Introduction
2 Related Works
3 LiDAR-Assisted In-store Product Placement
3.1 Architecture
4 Discrete PSO–Algorithm and Stages
4.1 Algorithm
5 Experimental Results
5.1 Experimental Setup
5.2 LiDAR-Based Data Collection
5.3 Discrete PSO Sequencer
6 Conclusion
References
Pattern Recognition
Deep Residual Variational Autoencoder for Image Super-Resolution
1 Introduction
2 Related Work
2.1 Conventional SR Methods
2.2 DL-Based SR Models
3 Methodology
3.1 Encoder Model
3.2 Decoder Model
3.3 Loss Function
4 Experiments
4.1 Training Dataset
4.2 Hardware
4.3 Training Details
4.4 Experimental Results
4.5 Comparative Evaluation
5 Conclusion
References
Hybrid HAN Model to Investigate Depression from Twitter Posts
1 Introduction
2 Background Study
3 Depression Detection Model
3.1 BiGRU Layer
3.2 Word Attention Context Layer
3.3 BiLSTM Layer
3.4 Sentence Attention Context Layer
3.5 Overall Architecture of Depression Detection Model
3.6 Dataset
3.7 Lexicon
3.8 Dataset Preprocessing
4 Performance Analysis
5 Conclusion
References
Transfer Learning-Based Encoder-Decoder Model for Skin Lesion Segmentation
1 Introduction
1.1 Study Objectives
2 Related Literature
3 Methods and Materials
3.1 U-Net Design
3.2 Proposed Framework
3.3 Dataset
3.4 Experimental Setup
3.5 Performance Metrics
4 Discussion of Results
5 Conclusion
References
A System for Liver Tumor Detection
1 Introduction
2 Literature Review
3 Proposed Model
3.1 Preprocessing
3.2 Augmentation
3.3 Segmentation
3.4 Classification Model
3.5 Performance Measures
4 Results with Discussion
4.1 Dataset Description
4.2 Computer Settings and Parameters
4.3 Preprocessing
4.4 Liver Segmentation
4.5 Tumor Detection
5 Conclusion and Future Work
References
High Speed and Efficient Reconfigurable Histogram Equalisation Architecture for Image Contrast Enhancement
1 Introduction
2 Related Work
3 Proposed Work
3.1 Comparator Design
3.2 Counter Circuit Design
3.3 Pixel Mapping Unit Design
4 Experimental Results
4.1 Simulation Results
4.2 Synthesis Results and Analysis of Proposed Architecture
5 Conclusion
References
A Practical Use for AI-Generated Images
1 Introduction
2 Diffusion Probabilistic Model
3 Object Detection
4 Related Studies
5 Proposed Work
5.1 Datasets
5.2 Performance Metrics
5.3 Model Training
6 Result Analysis
7 Conclusion
References
Homomorphic Encryption Schemes Using Nested Matrices
1 Introduction
2 Related Work
3 Methodology
3.1 Previous HE Model
3.2 Proposed HE Model
4 Homomorphic Property Proofs
4.1 Homomorphic Property for 2 2 Nested Matrix
4.2 Encryption Algorithm with Partially Homomorphic Property
5 Experimental Results
5.1 Evaluation Metrics
5.2 Results
6 Discussion
7 Conclusions
References
A Deep Learning Model for Heterogeneous Dataset Analysis - Application to Winter Wheat Crop Yield Prediction
1 Introduction
2 Literature
3 Data Description
4 Data Pre-processing
5 Proposed Approach
5.1 Training: Description of Time Steps
5.2 Training: Description of Forward/Backward Propagation
6 Experiment Setup
7 Experimental Results
8 Conclusion
References
Author Index