Innovations in Computer Science and Engineering

Name: Innovations in Computer Science and Engineering | Proceedings of the Ninth ICICSE, 2021
Brand: Springer
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Proceedings of the Ninth ICICSE, 2021

H. S. Saini Rishi Sayal A. Govardhan Rajkumar Buyya(Editor)

Springer (Publisher)

Published on 25. March 2022

XXVIII, 712 pages

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978-981-16-8987-1 (ISBN)

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Dr. H. S. Saini, Managing Director of Guru Nanak Institutions, obtained his Ph.D. in the ?eld of Computer Science. He has over 31 years of experience at university/college level in teaching UG/PG students and has guided several B.Tech. and M.Tech. projects and 6 Ph.D. scholars. He has published/presented above 95 high-quality research papers in international and national journals and proceedings of international conferences. He has published eight books with Springer. He is a lover of innovation and is Advisor for NBA/NAAC accreditation process to many institutions in India and abroad. He is Chief Editor of many innovative journals and chairing various international conferences.Dr. Rishi Sayal, Associate Director, Guru Nanak Institute of Technical Campus (Autonomous), has completed his B.E. (CSE), M.Tech. (IT), and Ph.D. (CSE). He has obtained his Ph.D. in Computer Science and Engineering in the ?eld of data mining from prestigious Mysore University of Karnataka State. He has over 29 years of experience in training, consultancy, teaching, and placements. His current areas of research interest include data mining, network security, and databases. He has published eight books with Springer. He has published wide number of research papers in international conferences and journals. He has guided many UG and PG research projects, and he is Recipient of many research grants from government funding agencies. He is Co-editor of various innovative journals and convened lot of international and national conferences.Dr. A. Govardhan is presently Professor of Computer Science and Engineering, Rector, JNTUH, and Executive Council Member, Jawaharlal Nehru Technological University (JNTUH), Hyderabad (JNTUH), India. He did his Ph.D. from JNTUH. He has 26 years of teaching and research experience. He is Member on Advisory Boards and Academic Boards and Technical Program Committee Member for more than 90 international and national conferences. He is Member on Boards of Governors and Academic Councils for number of colleges. He has 3 monographs and 15 chapters in Springer, Germany. He has guided 89 Ph.D. theses, 3 M.Phil., and 140 M.Tech. projects. He has published 565 research papers at international/national journals/conferences including IEEE, ACM, Springer, Elsevier, and Inderscience. He has delivered more than 120 keynote speeches and invited lectures. He has chaired 28 sessions at the international/national conferences in India and abroad. He has the research projects (completed/ongoing) worth of Rs. 1.159 Crores.Dr. Rajkumar Buyya is Redmond Barry Distinguished Professor and Director of the Cloud Computing and Distributed Systems (CLOUDS) Laboratory at the University of Melbourne, Australia. He is also serving as Founding CEO of Manjrasoft Pvt. Ltd., a spin-off company of the university, commercializing its innovations in cloud computing. He served as Future Fellow of the Australian Research Council during 2012-2016. He received his Ph.D. from Monash University, Melbourne, Australia, in 2002. Dr. Buyya has authored/co-authored over 630 publications. He has co-authored ?ve textbooks and edited proceedings of over 30 international conferences. He is one of the highly cited authors in computer science and software engineering (h-index = 134, g-index = 298, and 95,300+ citations). He has edited proceedings of over 30 international conferences published by prestigious organizations, namely the IEEE Computer Society Press and Springer Verlag.

Content

Intro
Preface
Contents
Editors and Contributors
A Bandwidth-Efficient and Quick Response Traffic Congestion Control QoS Approach for VANET in 6G
1 Introduction
2 Types of Communication in VANET
3 Literature Survey
4 Traffic Congestion Control QoS (TCCQ) Approach for Better Bandwidth Utilization
4.1 Steps for Bandwidth Utilization and Quick Traffic Response
4.2 Flowchart of TCCQ
5 Simulation Parameters
6 Result Description
6.1 Throughput Analysis and Overhead Analysis
6.2 PDR Analysis and Overall Analysis
7 Conclusion and Future Work
References
A Comparative Study on Evolution of Natural Language Processing and Natural Language Understanding
1 Introduction
1.1 Natural Language Processing (NLP)
1.2 Natural Language Understanding (NLU)
1.3 Objective of the Study
2 System and Materials
2.1 Glance of Study
3 Analysis and Discussion
4 Conclusion
References
A Dynamic Online Shopping Website for Incorporating Different Business in a Single Platform
1 Introduction
2 Literature Survey
3 Proposed Work
4 Result and Discussion
5 Conclusion
References
A Greedy Load Balancing Strategy with Optimal Constraints for Edge Computing in Industrial Cloud Environment
1 Introduction
2 Hybrid Optimization Techniques in Cloud Load Balancing
3 Greedy Search Awareness Fuzzy Schedule
4 Results and Discussion
5 Conclusions
References
A Novel Approach for a Vision-Based Physical Distancing Monitoring System for COVID-19 Using Deep Learning Techniques
1 Introduction
2 Related Work
3 Proposed System
3.1 Algorithm
3.2 Proposed System Approach
4 Experimental Setup
5 Result
6 Conclusion and Future Work
References
A Review of Network Optimization on the Internet of Things
1 Introduction
1.1 Motivation
1.2 M2M, IoT, and IoE
2 Network Optimization
2.1 Network Optimization in IoT
3 Discussion on for IoT Network Optimization
3.1 Network Routing
3.2 Heterogeneity
3.3 Scalability
3.4 Quality of Service (QoS)
3.5 Security
4 Literature Survey
5 Conclusion
References
A Study on Social Engineering Attacks in Cybersecurity
1 Introduction
2 Social Engineering Attacks
2.1 Attacks Classification
3 Prevention Mechanisms
4 Mitigation Mechanisms
5 Comparison
6 Challenges
7 Conclusion
References
A Study on the Performance of the Faculty Members and Its Impact on Their Academic Rating during the Pandemic Wave One Period
1 Introduction
1.1 Review of Literature
1.2 Research Methodology
1.3 Findings
1.4 Limitations
1.5 Conclusion
1.6 Suggestions
References
A Survey on Various Techniques and Proposals for Improving the Cryptocurrency Protocol
1 Introduction
2 Literature Survey
3 Results Chart
4 Future Work
5 Conclusion
References
A Systematic Analysis of Fingerprint Matching Techniques for Fingerprint Recognition System
1 Introduction
2 Fingerprint Matching Techniques
3 Systematic Analysis
4 Conclusion
References
A Taxonomy of Approaches and Methods for Software Effort Estimation
1 Introduction
2 Software Cost Estimation: Different Approaches
3 The Proposed Categorization
3.1 Basic Estimating Methods
3.2 Combined Estimating Methods
4 Discussion
5 Conclusion
References
Advanced Smart Gloves for Physically Disabled Persons Using LABVIEW
1 Introduction
2 Literature Survey
3 Objective of the Work
4 Methodology
5 Hardware Implementation
6 Result and Discussion
7 Conclusion and Future Work
References
AI-Based Medical Voice Assistant During Covid-19
1 Introduction
2 Literature Survey
3 Proposed Method
4 Result
5 Conclusion
References
Amalgamation of Rice Plant Disease Classification and Detection with KNN and Butterfly Algorithm
1 Introduction
2 Literature Survey
3 Methodology
3.1 K-Nearest Neighbor (KNN) Algorithm
3.2 Butterfly Algorithm (BA)
4 Results and Discussion
4.1 Performance Metrics
4.2 Comparison Results
5 Conclusion and Future Scope
References
An Efficient Workflow Scheduling Algorithm in Cloud Computing Using Cuckoo Search and PSO Algorithms
1 Introduction
2 Related Work
3 Problem Formulation and Proposed System Architecture
3.1 Mathematical Modeling
3.2 Hybrid CSPSO Approach
3.3 Proposed Workflow Scheduler
4 Simulation and Results
4.1 Evaluation of Makespan
4.2 Evaluation of Energy Consumption
5 Conclusion and Future Work
References
An Enhanced Information Broadcast in WSN Using Optimized Energy Algorithm for Healthcare
1 Introduction
2 Related Work
3 Proposed Optimized Energy Algorithm
3.1 Architecture of Wearable Sensor
3.2 Workflow of Optimized Energy Algorithm
3.3 Algorithm for Optimized Energy Algorithm
4 Result and Implementation
5 Conclusion
References
An Optimized Fuzzy-Based Resource Allocation for Cloud Using Secured Tabu Search Technique
1 Introduction
1.1 Contributions
2 Related Work
3 Hybrid Optimization Techniques in Cloud Scheduling
4 Blockchain-Based Security-Aware Fuzzy Scheduling in Cloud Resources
5 Optimization Methods
6 Conclusion
References
An Outlook on Precision Agriculture Role in Supervision of Small-Scale Crops and Farmers in Remote Areas
1 Introduction
2 Basis of Precision Farming
3 Experimental Analysis on Collected Samples Based on the Study
4 Generalized Framework for the Precision Framing System
5 Result and Graphs
6 Conclusion
References
An Unsupervised Clustering Algorithm to Cluster the New SARS-CoV-2 Virus Mutation
1 Introduction
2 Data Source
3 Methods and Techniques
3.1 K-Means Clustering Algorithm
3.2 Elbow Plot
3.3 Principal Component Analysis
4 Results and Discussion
4.1 Elbow Method to Find the Optimal 'k'
5 Visualization of PCA
5.1 3D PCA Visualization of Sequences
6 Testing the Model
7 Conclusion
References
Analysis of Sensors to Detect Nickel, Lead in Milk Product and Avoiding from Mysterious Diseases
1 Introduction
1.1 Source of Toxic Elements Unveiling to Human
2 Existing System
2.1 The Route of Heavy Metals Exposure in Humans
2.2 The Lead (Pb) Metal Source and Effect on Health
2.3 Source of Nickel and Effect on Health
3 Proposed System for Avoiding Mysterious Diseases
3.1 Working Process of Devices
4 Working Process of Proposed System
5 Conclusion
References
Automated Data Visualization System to Reinforce Mid-Day Meal Tracking Scheme
1 Introduction
2 Related Work
3 Data Dictionary
4 Proposed System
4.1 Tracking Food During Production
4.2 Tracking Food During Distribution
4.3 Collecting Students Detail
4.4 Distance Tracking Algorithm
5 System Implementation
5.1 Data Acquisition
5.2 Data Pre-processing
5.3 Data Visualization and Interpretation
5.4 Implementation
6 Results and Discussion
7 Conclusion
References
Classification Based on Evolutionary Approach Towards an Improved Classifier
1 Introduction
2 Related Work
3 Feature Reduction and Classification by the Employment of GA and RFC
4 Experimental Results and Discussion
5 Conclusion
References
Closest Vector Problem-Based Proof of Work Mechanism for Post-Quantum Blockchain
1 Introduction
2 Literature Review
3 Preliminaries
4 Proposed Algorithm
4.1 Lattice-Based Proof of Work Algorithm
4.2 Advantages of the Proposed Algorithm Over SVP-Based LPoW
5 Comparative Analysis and Security of Proposed Algorithm
6 Conclusion and Future Directions
References
Convolutional Neural Network for Land Cover Classification and Mapping Using Landsat Images
1 Introduction
1.1 Pixel-Based Approach
1.2 Block-Based Approach
2 Study Area and Data Collection
3 Convolutional Neural Network for Image Classification and Land Cover Mapping
3.1 Database Preparation
3.2 Model Construction and Training
3.3 Validation, Prediction and LULC Map Generation
4 Results and Inferences
4.1 Experimental Setup
4.2 Parameter Tuning
4.3 Model Evaluation
4.4 LULC Map Generation and Visual Validation
5 Conclusion and Future Enhancements
References
Cyber Threat Intelligence "Comparative Analysis of Its Sources and Parameters of Evaluation"
1 Introduction
2 Literature Survey
2.1 Challenges and Gaps
2.2 Correlation
3 Research Methodology
3.1 Cyber Threat Intelligence Sources and Parameters of Evaluation
4 Conclusion and Future Work
References
Data Analytics and Visualisation Using Tableau on Prevalence of Alcoholic Drinks and Tobacco Products Among Young People in India
1 Introduction
2 Review of Related Studies
3 Theoretical Background
4 Methodology
5 Data Analysis
6 Conclusion
7 Future Scope and Suggestions
References
Design and Development of Framework for Big Data Based Smart Farming System
1 Introduction
2 Related Works
2.1 Relationship Between IoT and Big Data Analytics
2.2 Motivation for Integrating Big Data in Digital Farming
3 Proposed System
4 Conclusion
References
Design of Automotive Accident-Avoidance System at Speed Limit Zone Using GPS
1 Introduction
2 Implementation
2.1 SR87 GPS Receiver
2.2 UE-FMC51
2.3 Oriole's Display Module (ODM)
3 Functional and Hardware Interfacing
4 Analysis of Speed Limit Zone
5 Conclusion
References
Designing Stemmer for Afaraf Text Using Rule Based Approach
1 Introduction
2 Related Work
3 Afaraf Morphology
4 Stemming Techniques
5 AfaStem Algorithm
5.1 The Detail of Prepared Algorithm is as Flow
6 Experimental Result
7 Recommendation and Conclusion
References
Detection of Women Profanity in Twitter
1 Introduction
2 Literature Survey
3 Problem Statement
4 Methodology
5 Implementation
6 Experimental Results
7 Conclusion
References
DLCP: A Robust Deep Learning with Non-linear CA Mechanism for Lung Cancer Prediction
1 Introduction
2 Literature Survey
3 Design of DLCP (Deep Learning for Cancer Prediction)
4 Experimental Results and Comparison
5 Conclusion
References
DLHAP: A Novel Deep Learning with Hybrid CA Mechanism for Heart Attack Prediction
1 Introduction
2 Literature Survey
3 Design of DLHAP (Deep Learning for Heart Attract Prediction)
3.1 Cellular Automata
4 Experimental Results and Comparison
5 Conclusion
References
Enhancing Accuracy Performance in Novel Drug Delivery System for Composite Microbeads Using Hadoop Ecosystem Over Conventional Drug Delivery Systems
1 Introduction
2 Literature Survey
3 Problem Statement
4 Proposed Work
5 Implementation Techniques
6 Result and Discussion
7 Conclusion
8 Future Enhancement
References
The Roles of Supervised Machine Learning Algorithms in Medical Treatment System
1 Introduction
2 Image Analytics in Cancer Pattern Extraction
3 Supervisied Learning Algortihms
4 Results and Discussions
5 Conclusion
6 Future Work
References
Texture Analysis Technique for Document Age Identification
1 Introduction
2 Related Work
3 Proposed Work
3.1 Data Collection and Preprocessing
3.2 Feature Extraction
4 Experimental Results and Discussion
5 Conclusion
References
Symptoms-Based Disease Prediction Using Big data Analytics
1 Introduction
2 Literature Survey
3 Methodology
4 Results and Discussion
5 Conclusion
References
Stock Market Prediction Using Artificial Intelligent Techniques
1 Introduction
2 Related Work
3 Proposed Work
3.1 Module Description
3.2 Working Model
4 Results and Discussion
5 Conclusion
References
Software Tool to Perform Metamorphic Testing on RESTful Web APIs
1 Introduction
2 Literature Survey
3 Methodology
3.1 Test Schema
3.2 Architecture
4 Experimental Evaluation and Results
5 Conclusion and Future Scope
References
Smart Vehicle with Home Automation and IoT Based Health Monitoring System for Divyangjan Person
1 Introduction
2 Literature Review
3 Implementation
3.1 System Design
3.2 Components Description
4 Working
5 Internet of Things (IoT)
5.1 ThingSpeak
6 Result
7 Conclusion
References
Sentiment Analysis of Customers' Review in Bangla Using Machine Learning Approaches
1 Introduction
2 Proposed Method
2.1 Collection of Raw Dataset
2.2 Data Preprocessing
2.3 Feature Extraction
2.4 Training Dataset
2.5 Sentiment Classification
3 Results and Discussion
4 Conclusion
References
Sentiment Analysis of Tweets Related to COVID-19
1 Introduction
2 Literature Survey
3 Proposed Method
3.1 Data Collection
3.2 Data Preprocessing
4 Tweets Per Hour
4.1 Word Cloud Generation
4.2 Sentiment Analysis
5 Result
6 Conclusion
References
Sentiment Analysis of COVID-19 Tweets Using Classification Algorithms
1 Introduction
1.1 Problem Definition
2 Methodology
2.1 Working
2.2 Multinomial Naïve Bayes
2.3 Sklearn
3 Dataset Description
3.1 Data Gathering
3.2 Data Preprocessing
3.3 Dividing Dataset into Training and Test Data
3.4 Training and Testing the Model
4 Experimental Results
4.1 Testing Results on Logistic Regression and Naive Bayes:
5 Conclusion
References
Role of Artificial Intelligence in Demand Management System for Houses
1 Introduction
2 Methodology
3 Load Demand Prediction Model Using AI Neural Network
3.1 Preliminary Analysis
3.2 Feature Engineering
3.3 Final Dataset
3.4 Neural Network
3.5 Output
4 Load Generation Forecast
5 Internet of Things (IoT)
5.1 Smart Socket
5.2 Smart Energy Meter
6 Web Application
7 Conclusion
References
Risk Prediction Model for Lung Cancer Disease Using Machine Learning Techniques
1 Introduction
2 Literature Survey
3 Dataset Description
4 Dimensionality Reduction
4.1 Feature Selection
4.2 Feature Extraction
5 Methodology
6 Results and Discussion
7 Conclusion
References
Real-Time Traffic Response Processing Using Convolutional Neural Network and Edge Computing
1 Introduction
2 Literature Survey
3 Implementation
3.1 Proposed Methodology
3.2 Dataset
3.3 Model Building and Training
3.4 Setting Green Signal Time Based on Predicted Traffic Density
3.5 Node-RED Flow
4 Results
5 Conclusion
References
Readability Enhancement in Handwritten English Documents by Eliminating Noisy Characters Through Convolutional Neural Network
1 Introduction
2 Related Works
3 The Context of Considered Work
4 The Proposed Architecture
5 Experimentation and Validation
6 Conclusion and Future Scope
References
Proposed Framework for Hybrid Approach Using Convolution LSTM-RNN for Human Activity Recognition
1 Introduction
2 The Activities Fall into Four Categories
3 Literature Review
4 Problem Formulation and Objectives
4.1 Basic Architectural Design
4.2 Objectives
5 Dataset Details
6 Methodology
7 Conclusion and Discussion
References
Prediction of Spam Mails Through Feature Extraction Using Stop Word and Naïve Bayes Algorithms
1 Introduction
2 Related Work
3 Machine Learning in Electronic Mail Classification
3.1 Algorithm Based on Bayes' Theorem
3.2 Classification and Prediction
3.3 Planned Work
3.4 The Feature Extraction
3.5 Proposed Algorithm
4 Results
5 Conclusion
References
Predicting Memory Buffer Size for Smart Logging Framework Using Deep Learning
1 Introduction
1.1 Smart Logging Framework [1]
1.2 Prediction Model
2 Related Work
3 Prediction Method
3.1 LSTM Network Architecture
3.2 Pattern Extraction
3.3 Polynomial Regression Model
4 Results
5 Conclusion
References
Physical Movement Acknowledgment Utilizing Mobile Sensor
1 Introduction
2 Methodology
3 Module Description
3.1 Accelerometer Sensor Data Collection
3.2 Normalization and Storage of Collected Data:
3.3 Feature Extraction and Splitting of Train and Test Sets
3.4 Classification of Test Set and Comparison with the Trained Model
4 Conclusion
5 Future Work
References
Performance of Non-orthogonal Multiple Access with MIMO System
1 Introduction
2 MIMO-NOMA System Analysis
2.1 Achievable Data Rate and Sum Rate
2.2 Outage Probability
3 MIMO-OMA System Analysis
3.1 Achievable Data Rate and Sum Rate
3.2 Outage Probability
4 Results and Discussions
5 Conclusion
References
Optimized Linguistic Feature Selection Through Deep Learning Approach for Forensic Applications
1 Introduction
2 Related Works
3 Objectives
4 Implementation Details
5 Results and Discussions
References
Neuro-imaging-based Diagnosing System for Alzheimer's Disease Using Machine Learning Algorithms
1 Introduction
2 Related Work
3 Proposed Method
3.1 Pre-processing Using Median Filter
3.2 Feature Extraction
3.3 Classification
4 Results and Discussions
5 Conclusion
References
Neural Network-Based Activity Recognition System
1 Introduction
2 Literature Survey
3 Proposed Method
4 Result and Discussion
5 Conclusion
References
Malaria Disease Prediction with Ensemble Learning Technique
1 Introduction
2 Literature Survey
3 Methodology
4 Results and Discussion
5 Conclusion and Future Scope
References
Loan Default Prediction Using Machine Learning Techniques
1 Introduction
2 Literature Survey
3 Proposed Method
3.1 Data Preprocessing
4 Result
5 Conclusion
References
Land Cover Change Detection on Sentinel-2 Using GDAL and NDVI
1 Introduction
2 Study Area
3 Literature Review
4 Methodology
4.1 Data Collection
4.2 Clipping
4.3 Geospatial Data Abstraction Library (GDAL)
4.4 Normalized Difference Vegetation Index (NDVI)
5 Results
6 Conclusion
References
Intelligent Computing Method for Detecting Diabetic Retinopathy (DBRP)
1 Introduction
2 Related Work
3 Proposed Work
3.1 Implementation and Network Architecture
4 Results
5 Conclusion
References
Improvement of Precision in Agriculture Using IoT-Based Machine Learning Techniques
1 Introduction
2 Precision in Agriculture
2.1 Internet of Things (IoT)
3 Design, Experiment, and Results
4 Conclusion
References
Implementing Solar Power Smart Irrigation System
1 Introduction
2 Literature Survey
3 Proposed Methodology
3.1 Components
4 Results and Discussion
5 Conclusion
References
Implementation of Real-time Face Mask Detection with Convolutional Neural Network (CNN) and OpenCV
1 Introduction
1.1 Problem Definition
2 Methodology
2.1 Convolutional Neural Network (CNN)
2.2 OpenCV
2.3 Deep Learning
2.4 Tensor Flow
2.5 Kera's
3 Dataset Description
3.1 Data Gathering
3.2 Pre-processing of the Data
3.3 Dividing Dataset into Training and Test Data
3.4 Designing the Model
3.5 Training and Testing the Model
3.6 Implementing the Model
4 Results
4.1 Training the Model
4.2 Face Mask Detector
5 Conclusion
References
Image Forgery Detection Using Metadata Analysis and ELA Processor
1 Introduction
2 Literature Survey
2.1 Digital Image Forgery Detection Techniques
2.2 Pixel-Based Image Forgery Detection Technique
2.3 Digital Image Forgery Detection Using Watermarking Technique
2.4 Image Forgery Detection Using SIFT Algorithm in Image Processing
2.5 Forgery Detection-Based Image Processing Techniques
3 System Architecture
4 Proposed Methodology
4.1 Metadata-Based Features
4.2 Neural Network
4.3 Error Level Analysis
5 Results
6 Conclusion
References
Image Diff's Validation Using Image Classification
1 Introduction
2 Image Comparison
2.1 Mean Squared Error (MSE)
2.2 Structural Similarity (SSIM)
3 Image Classification
4 Convolutional Neural Networks for Classification
5 Conclusion
References
Identification of the Ideal Team Capabilities and Predictive Success Measure for Software Projects Using Machine Learning
1 Introduction
2 Regression Analysis and Machine Learning-Fundamentals
3 Parallel Research Outcomes-A Survey
4 Problem Formulation and Proposed Solutions-Mathematical Models
5 Proposed Algorithms
6 Results and Discussions
7 Comparative Analysis
8 Conclusion
References
Identification of Accident Hotspots Using Clustering Algorithms in Machine Learning
1 Introduction
2 Literature Survey
3 Proposed System
3.1 Datasets
3.2 Architecture
4 Results
5 Conclusion
References
Green Technology and Sustainable Renewable Energy Analysis
1 Introduction
1.1 Investment in Green Technology
2 Background
3 Research Design
3.1 Research Objective
3.2 Research Method and Type
3.3 Sources of Data
3.4 Sample Size
3.5 Limitation
4 Material and Data Analysis
4.1 Importance of Renewable Energy
4.2 Data Analysis of the Selected Companies
5 Conclusion
References
Event Recommendation System Using Machine Learning Techniques
1 Introduction
2 Literature Survey
3 Proposed Method
4 Result
5 Conclusion
References
Evaluating the Impact of Features for Twitter Spammers Detection
1 Introduction
2 Related Work
3 Research Methodology
3.1 Twitter Dataset
3.2 Preprocessing
3.3 Feature Selection
3.4 Classification
4 Results and Discussion
5 Conclusion
References
Regression Analysis of Car Selection Model: An Appropriate or Non-appropriate Method
1 Introduction
2 Methodology
3 Results and Discussion
4 Conclusions
References
Detection and Monitoring of Objects: Producing Range Information
1 Introduction
2 Object Detection
3 Pixel-Level Post-Processing
4 Occlusion Handling
5 Result Discussions
6 Conclusion
References
Detection of Moving Objects and Enhancement Using Motion Features in Various Video Sequences
1 Introduction
2 Related Work and Problem Analysis
3 Proposed Methodology
4 Experimental Results and Discussion
4.1 Comparison of the Proposed Method with Other State-of-the-Art Methods
5 Conclusion
References
Detection of Suspicious Node by a Status Table in a Wireless Sensor Network
1 Introduction
2 Related Work
3 Proposed Methodology
3.1 Status Table
3.2 Table Updation
4 Conclusion
References
Finding All Edges on any Smallest Route Connecting Two Nodes of a Directed Acyclic Graph Using Parallel Computing
1 Introduction
2 Problem Statement
2.1 Abbreviations
2.2 Illustration
2.3 Previous Work
3 Proposed Approach
3.1 Deciding the Value of Optimal of K
4 Experimental Setup and Results
5 Future Scope and Reproducibility
6 Conclusion
References
Survey on Innovative Techniques to Predict Software Defects
1 Introduction
1.1 Defect Prediction
1.2 LSTM Network
1.3 Different Machine Learning Algorithms for Software Defect Prediction
1.4 Motivation
2 Literature Review
3 Different Models and Approaches
3.1 A General Defect Prediction Process
3.2 Machine Learning-Based Models
3.3 The Fuzzy Logic Approach
3.4 Code Pattern-Based Vulnerability Detection
4 Deep Learning in SDP
4.1 Automatic Software Program Repair
5 Conclusion
References
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Innovations in Computer Science and Engineering

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