Computational Sciences and Sustainable Technologies : First International Conference, ICCSST 2023, Bangalore, India, May 8–9, 2023, Revised Selected Papers / edited by Sagaya Aurelia, Chandra J., Ashok Immanuel, Joseph Mani, Vijaya Padmanabha.

Format:

Book

Contributor:

Aurelia, Sagaya, editor.

Series:

Communications in Computer and Information Science, 1865-0937 ; 1973

Language:

English

Subjects (All):

Artificial intelligence.

Database management.

Machine learning.

Application software.

Computer engineering.

Computer networks.

Artificial Intelligence.

Database Management System.

Machine Learning.

Computer and Information Systems Applications.

Computer Engineering and Networks.

Computer Communication Networks.

Local Subjects:

Artificial Intelligence.

Database Management System.

Machine Learning.

Computer and Information Systems Applications.

Computer Engineering and Networks.

Computer Communication Networks.

Physical Description:

1 online resource (516 pages)

Edition:

1st ed. 2024.

Place of Publication:

Cham : Springer Nature Switzerland : Imprint: Springer, 2024.

Summary:

This book constitutes the revised selected papers of the First International Conference, ICCSST 2023, held in Bangalore, India, during May 8–9, 2023. The 39 full papers included in this volume were carefully reviewed and selected from 200 submissions. They focus on artificial intelligence, blockchain technology, cloud computing, cyber security, data science, e-commerce, computer architecture, image and video processing, pandemic preparedness and digital technology, pattern recognition and classification.

Contents:

Intro

Preface

Acknowledgements

Organization

Contents

Performance Evaluation of Metaheuristics-Tuned Deep Neural Networks for HealthCare 4.0

1 Introduction

2 Background and Related Works

3 Methods

3.1 Original Sine Cosine Algorithm (SCA)

3.2 SCA Bat Search Algorithm (SCA-BS)

4 Experiments and Comparative Analysis

4.1 Liver Disorder Dataset Details

4.2 Dermatology Dataset Details

4.3 Hepatitis Dataset Details

4.4 Experimental Setup

4.5 Evaluation Metrics

5 Results and Discussion

5.1 Liver Disorder Dataset Results

5.2 Dermatology Dataset Results

5.3 Hepatitis Dataset Results

6 Conclusion

References

Early Prediction of At-Risk Students in Higher Education Institutions Using Adaptive Dwarf Mongoose Optimization Enabled Deep Learning

2 Motivation

2.1 Literature Survey

2.2 Major Challenges

3 Proposed ADMOADNFN for Prediction At-Risk Students

3.1 Data Acquisition

3.2 Data Transformation

3.3 Feature Selection

3.4 Data Augmentation (Oversampling)

3.5 Performance Prediction to Determine at Risk Students

4 Results and Discussion

4.1 Experimental Results

4.2 Dataset Description

4.3 Evaluation Metrics

4.4 Comparative Techniques

4.5 Comparative Discussion

5 Conclusion

Decomposition Aided Bidirectional Long-Short-Term Memory Optimized by Hybrid Metaheuristic Applied for Wind Power Forecasting

2 Related Works

2.1 Variational Mode Decomposition VMD

2.2 Bidirectional Long Short-Term Memory (BiLSTM)

2.3 Metaheuristics Optimization

3.1 Original Reptile Search Algorithm (RSA)

3.2 Hybrid RSA (HRSA)

4 Experimental Setup

4.1 Dataset

4.2 Metrics

4.3 Setup

References.

Interpretable Drug Resistance Prediction for Patients on Anti-Retroviral Therapies (ART)

2 Background and Motivation

3 Literature Review

3.1 Research Gaps

3.2 Paper Contributions

4 Data Analysis and Methods

4.1 Dataset Description

4.2 Data Preparation and Exploratory Data Analysis

4.3 Methodology

4.4 Model Evaluation

4.5 Feature Importance

5.1 ML Model Selection and Optimization

5.2 ML Model Selection Accountability

6 Conclusion and Future Works

Development of a Blockchain-Based Vehicle History System

2 Literature Review

3 Methodology

4 Design

4.1 Manufacturer-Dealer Workflow

4.2 Vehicle Sale/ Registration Workflow

4.3 Vehicle Transfer Workflow

4.4 Vehicle Resale Workflow

5 Testing and Evaluation

6 Results and Discussion

7 Conclusions

Social Distancing and Face Mask Detection Using YOLO Object Detection Algorithm

3 Relevant Methodologies

3.1 Convolutional Neural Network (CNN)

3.2 Object Detection

3.3 YOLO Object Detection Model

3.4 Faster R-CNN

3.5 Single-Shot Detector (SSD)

3.6 AlexNet

3.7 Inception V3

3.8 MobileNet

3.9 Visual Geometry Group (VGG)

4 Implementation

4.1 Face Mask Detectıon

4.2 Socıal Dıstance Detectıon

5 Results

6 Conclusion and Future Scope

Review on Colon Cancer Prevention Techniques and Polyp Classification

1.1 Objectives

2 Design

3 Setting and Participants

4 Methods

6 Conclusion and Implications

Security Testing of Android Applications Using Drozer

2 Methodology

2.1 Online Questionnaire

2.2 Emulation of Penetration Testing

3 Implementation

3.1 Retrieving Package Information.

3.2 Identifying the Attack Surface

3.3 Identifying and Launching Activities

3.4 Exploiting Content Providers

3.5 Interacting with Services

3.6 Listing Broadcast Receivers

4.1 Questionnaire Results and Discussion

4.2 Vulnerability Testing Results

5 Conclusions

Contemporary Global Trends in Small Project Management Practices and Their Impact on Oman

2 Literature Survey

4.1 Participants

Early Prediction of Sepsis Using Machine Learning Algorithms: A Review

1.1 Description of Sepsis

1.2 Challenges

2.1 Pathogenesis

2.2 Host Response

2.3 Analysis and Selection of Patients

2.4 Collection of Data

2.5 Data Imputation

3 Model Design and Technique

3.1 Gradient Boosting

3.2 Random Forest Model

3.3 Support Vector Machine

3.4 XG Boost Algorithm

4 Conclusion

Solve My Problem-Grievance Redressal System

3 Problem Statement

4 Existing Systems

5 Proposed System

6 Implementation

7 Conclusion

Finite Automata Application in Monitoring the Digital Scoreboard of a Cricket Game

3.1 Tracking of On-Strike Batsman

3.2 Ball Tracking in an Over

4 Results/Discussion

Diabetes Prediction Using Machine Learning: A Detailed Insight

2 Identification of Symptoms for Diabetes Prediction

3 Feature Analysis

4 Comparative Analysis of Different ML Algorithms in Diabetes Onset Prediction

Empirical Analysis of Resource Scheduling Algorithms in Cloud Simulated Environment

2 Literature Review.

3 EA of the Results and Their Implications

3.1 EA Concerning A.S.T

3.2 EA Concerning A.C.T

3.3 EA Concerning A.T.A.T

3.4 EA Concerning A.C

4 Improving Resource Scheduling Using Intelligence Mechanism

A Recommendation Model System Using Health Aware- Krill Herd Optimization that Develops Food Habits and Retains Physical Fitness

3 Proposed Method

3.1 Architecture of RecSys

3.2 Krill Herd Algorithm for Optimization

3.3 Genetic Operators

3.4 Recommendation System (Recsys) Using KHO Algorithm

3.5 Evaluation of Fitness Value

4 Results and Analysis

4.1 Quantitative Analysis

4.2 Qualitative Analysis

Video Summarization on E-Sport

3 Proposed System

3.1 Flow Diagram

3.2 Algorithmic Steps

SQL Injection Attack Detection and Prevention Based on Manipulating the SQL Query Input Attributes

2 SQL-Injection Attacks

3 Work Model of SQL Injection

4 Related Work

5 Proposed Work

5.1 Proposed Algorithm for Replacing Special String Constraints Instead of Input Parameter

5.2 Levenshtein Method

7 Conclusion and Future Work

Comparative Analysis of State-of-the-Art Face Recognition Models: FaceNet, ArcFace, and OpenFace Using Image Classification Metrics

2 Problem Statement

3.1 Convolutional Neural Networks

3.2 FaceNet

3.3 ArcFace

3.4 OpenFace

3.5 RetinaFace

4 Design Methodology

4.1 Face Extraction by RetinaFace

4.2 Vectorization by FaceNet, ArcFace and OpenFace

4.3 Results

4.4 Loss Functions

Hash Edward Curve Signcryption for Secure Big Data Transmission

3.1 Theil-Sen Robust Linear Regression

3.2 Pseudoephemeral Kupyna HashEdward-Signcryption-Based Secure Data Transmission

4 Assessment Settings

5 Performance Comparison

An Energy Efficient, Spontaneous, Multi-path Data Routing Algorithm with Private Key Creation for Heterogeneous Network

1.1 Difficulties in Formation of a Heterogeneous Network

2.1 Contribution of Proposed Research Mechanism

3 Intelligent Swarm Adapted Colony Based Optimization Methodology

4 Spontaneous Energy Proficient Multi-path Data Routing (SEPMDR)

4.1 Formation of Basic Network Metrics

4.2 Algorithm 1 for SEPMDR

4.3 Algorithm 2 for Private Key Creation

4.4 Operational Phases of SEPMDR

5 Performance Evaluation and Its Results

5.1 Power Conservation of Nodes

5.2 Comparison of Packet Delivery Ratio (PDR) of the Proposed System

5.3 Evaluation of Routing Overhead of the Different Methodologies

5.4 Comparison of Network Throughput

A Hybrid Model for Epileptic Seizure Prediction Using EEG Data

1.1 Organization

2 Related Work

3 Proposed Methodology

3.1 Preprocessing of EEG signals

3.2 Feature Extraction

3.3 Classification

4 Performance Analysis

4.2 Implementation Details

4.3 Performance Analysis

Adapting to Noise in Forensic Speaker Verification Using GMM-UBM I-Vector Method in High-Noise Backgrounds

2 Data Acquisition

3 Feature Extraction

4 Mel-Frequency Cepstral Coefficients (MFCC)

5 Speaker Verification System Using GMM-UBM I Vector Frame Work.

6 Modified Feature Extraction for Noise Adapting.

Other Format:

Print version: Aurelia, Sagaya Computational Sciences and Sustainable Technologies

ISBN:

3-031-50993-5