Advances in Data Science and Computing Technologies : Select Proceedings of ADSC 2022 / edited by Basabi Chakraborty, Arindam Biswas, Amlan Chakrabarti.

Format:

Book

Contributor:

Chakraborty, Basabi, 1956- editor.

Biswas, Arindam, editor.

Chakrabarti, Amlan, editor.

Series:

Lecture Notes in Electrical Engineering, 1876-1119 ; 1056

Language:

English

Subjects (All):

Computational intelligence.

Data structures (Computer science).

Information theory.

Artificial intelligence.

Computer engineering.

Computer networks.

Computational Intelligence.

Data Structures and Information Theory.

Artificial Intelligence.

Computer Engineering and Networks.

Local Subjects:

Computational Intelligence.

Data Structures and Information Theory.

Artificial Intelligence.

Computer Engineering and Networks.

Physical Description:

1 online resource (738 pages)

Edition:

1st ed. 2023.

Place of Publication:

Singapore : Springer Nature Singapore : Imprint: Springer, 2023.

Summary:

This book presents selected research papers on current developments in artificial intelligence (AI) and data sciences from the International Conference on Advances in Data Science and Computing Technologies, ADSC 2022. The book covers topics such as soft computing techniques, AI, optical communication systems, application of Internet of Things, hybrid and renewable energy sources, cloud and mobile computing, deep machine learning, data networks & securities. The book discusses various aspects of these topics, e.g., technological considerations, product implementation, and application issues. The volume will serve as a reference resource for researchers and practitioners in academia and industry.

Contents:

Intro

Contents

About the Editors

Fertilizer Recommendation System for High Crop Yield based on Prediction Model: A Comparative Analysis

1 Introduction

2 Fertilizer recommendation-A Prediction Model

3 Development of Prediction Models

4 Data Set and Experimental Set-up

4.1 Experimental Results

4.2 Performance Comparison

5 Conclusion

References

Prediction of Future Career Course of Students Through RF Algorithm

2 Literature Review

3 Proposed Methodology

4 Results and Analysis

Survey of Various Machine Learning Techniques for Analyzing IoMT-Based Remote Patient Monitoring System

2 Literature Review of Remote Patient Monitoring (RPM) Process

3 Research Gap

4 Conclusion

A Novel Approach to Predicting the Cardiovascular Sickness

3 Dataset Description and Information

4 Architecture

4.1 Data Cleaning and Preprocessing

4.2 Feature Creation and Feature Selection

4.3 Data Selection and Training

5 Model Evaluation

6 Experiments and Results

6.1 Percentile Method (Normal Method)

6.2 Hyperparameter Tuning

6.3 Domain Knowledge Method

6.4 Hyperparameter Tuning (Using Domain Knowledge)

7 Model Analysis

8 Conclusion

Intelligent System for Detecting Spam Emails Using Machine Learning Classifiers

2 Literature Survey

3 Research Methodology and Proposed Work

3.1 Dataset

3.2 Data Cleaning

3.3 Exploratory Data Analysis

3.4 Data Preprocessing

3.5 Feature Extraction and Selection

4 Machine Learning Classifiers

5 Performance and Result Analysis

6 Conclusion

Optical Flow-Based Movement Alert System for Assisting Visually Impaired People

2 Literature Survey.

3 Methodology

3.1 Gaussian Blurring

3.2 Thresholding

3.3 Contour Detection

3.4 Optical Flow

3.5 Tracker

4 Results

Detection of Fallen Trees and Vehicles Plying on the Road for Safety of Visually Impaired People

3 Methodology

3.1 Dataset and Preprocessing

3.2 Dimensionality Reduction

3.3 Classification

4 Result

Electronic Travel Aid for Bus Detection and Bus-Route Number Recognition for Blind People

3.1 Dataset Collection and Pre-processing

3.2 Feature Vector Compilation

3.3 Dimensionality Reduction

4 Classification

4.1 Route Number Recognition

5 Results and Discussion

LSTM-Based Encoder-Decoder Model for Transliteration of English, Marathi, and Hindi Query

3.1 Example of Data Preprocessing for Text

3.2 Data Visualization and Preprocessing

3.3 Building the Model (Encoder and Model with Attention Layer)

3.4 Making a Predict Function

4 Results and Discussions

4.1 Implemented Model

4.2 Already Existing Model

4.3 Comparison Between Implemented Model and Existing Model

6 Future Scope

A Study on Hiding Internet of Things (IoT) Communication

2 Some Existing Steganography-Based IoT Security Protocols

3 Conclusion

Automatic Speech Recognition Using Acoustic Modeling

5 Accuracy Check

Effect of Dropout on Convolutional Neural Network for Hyperspectral Image Classification

2 Convolutional Neural Network

3 Dropout Method.

4 CNN-Based Model for HSI Classification

5 Experimental Results

5.1 Details of Datasets and Experimental Design

5.2 Experimental Design

5.3 Result Discussions

State Derivative Optimal Control Law for Submersible Autonomous Robotic Vehicle in Steering Plane

2 Mathematical Modeling of Submersible Autonomous Robotic Vehicle

3 State Derivative Optimal Control Law

4 Realization of Control Algorithm

ASR for Indian Regional Languages Using Fine-Tuned Wav2Vec2 Model

3.1 Algorithm

3.2 Self-Supervised Learning

3.3 Feature Encoder

3.4 Implementation

3.5 Data Preprocessing

3.6 Training

Intelligent Online Voting System for Twenty-First Century and Smart Cities 5.0: An Empirical Approach through Blockchain with ML Techniques

2.1 Challenges in Decentralized Voting System

3 Results and Discussions

4 Novelties

5 Recommendations

6 Future Research Directions and Limitations

6.1 Limitations

6.2 Future Directions

7 Conclusions

An Empirical Study on Credit Risk Assessment Using Ensemble Classifiers

2 Related Works

3 Different Computational Models

3.1 Decision Tree

3.2 Ensemble Learning

4 Implementation and Analysis

5 Experimental Results and Discussion

Audio Based Text Summarization Using Natural Language Processing

3 Methodology/Algorithm

3.1 Data Pre-Processing

3.2 Transformer Learning

3.3 Contact Author Information

References.

Blockchain-Enabled Security in Vehicular Ad Hoc Network

1.1 Blockchain (BC) Technology

1.2 BC in Vehicular Industry

2 Review of Literature

3 Comparative Analysis

3.1 Data Security Sharing and Storage System Based on the Consortium Blockchain (DSSCB)

3.2 Comparative Analysis Based on Transaction Cost

4 Conclusion and Future Scope

Stock Selection Using Ontological Financial Analysis

3 Ontological Framework

4 Discussion

Components of Information Diffusion and Its Models in Online Social Networks

a Comparative Study

2 Components of Information Diffusion

3 Information Diffusion Models

3.1 Explanatory Models

3.2 Prediction Models

3.3 Some Explanatory Models

3.4 Prediction Models

Development of a Residual Neural Network Architecture for the Detection of Diabetic Retinopathy in Retinal Fundus Images

2 Background

Prediction Markets Using Machine Learning

2 Related Work

3.1 Dataset Used

3.2 Algorithm Used

4 Result and Discussion

Evaluation of Optimum Batting Order Based on Partnership Analysis Using Ant Colony Optimization Technique

2 Performance Criteria

3 Dataflow and Algorithm

Identification of Rock Images in Mining Industry: An Application of Deep Learning Technique

3 Dataset Description

4 Proposed Methodology

Evaluation of Teachers' Performance Using Fuzzy Inferences System

1 Introduction.

2 Literature Review

3 Proposed Expert System

A Detailed Analysis on Intrusion Detection Systems, Datasets, and Challenges

2 Machine Learning Systems

3 Literature Survey

4 Challenges in IDS

5 Problem Identification

6 Performance Evaluation Parameters

Object Detection Under Low-Lighting Conditions Using Deep Learning Architectures: A Comparative Study

4 Dataset Description

5 Image Enhancement Techniques

6 Object Detection Algorithms

7 Results and Discussion

8 Conclusion and Future Work

Terahertz Image Processing: A Boon to the Imaging Technology

2 Biomedical Applications and Imaging

3 Acts as an Inspection Tool

4 Production and Quality Control in Paper and Polymer Industry

5 Terahertz Holography

6 Current Scenario of THz Imaging in Biomedical Applications

7 Conclusion

Developing a Talent Identification Model for Predicting Player Position in Football Using Machine Learning Algorithms

3.1 Player Dataset

3.2 Data Pre-processing

3.3 Model Building

3.4 Model Evaluation

4 Analysis

5 Conclusion and Scope for Future Research

Implementation of Anticipated Technique in Digital Mammography for Piloting Classification of Breast Cancer Using CNN

3 Research Methodology

4 Implementation and Results

4.1 Data Collection

4.2 Preprocessing

4.3 GUI Implementation

5 Conclusion and Future Scope

Three-Layered Hybrid Analysis Technique for Android Malware Detection

1.1 Android Malwares

1.2 How Malwares Get into Device.

1.3 Types of Detection Methods.

Notes:

Includes bibliographical references.

Description based on publisher supplied metadata and other sources.

Other Format:

Print version: Chakraborty, Basabi Advances in Data Science and Computing Technologies

ISBN:

981-9936-56-X

OCLC:

1402033277