Smart Computing Paradigms: Artificial Intelligence and Network Applications

Name: Smart Computing Paradigms: Artificial Intelligence and Network Applications | Proceedings of Sixth International Conference on Smart Computing and Informatics (SCI 2024), Volume 1
Brand: Springer
Price: 298.53 EUR
Availability: OnlineOnly

Proceedings of Sixth International Conference on Smart Computing and Informatics (SCI 2024), Volume 1

Milan Simic Vikrant Bhateja M. Ramakrishna Murty Sandeep Kumar Panda(Editor)

Springer (Publisher)

1st Edition

Published on 21. November 2024

XVIII, 551 pages

E-Book

PDF with digital watermarking

System requirements

978-981-97-7880-5 (ISBN)

€298.53incl. 7% vat

System requirements

for PDF with digital watermarking

E-Book Single Licence

Available for download

Description

More details

Other editions

Persons

Milan Simic holds Ph.D., Master and Bachelor of Electronics Engineering and Graduate Diploma in Education. He is currently with RMIT University, School of Engineering. For his innovations and other contributions, he has received prestigious awards and recognitions. Dr Simic is a member of large number of engineering and science associations. He conducts multidisciplinary research in the following areas: Management, engineering education, electrical vehicles, intelligent transport systems, automotive electronics, physical systems modelling (physical networks), autonomous systems, mechatronics, robotics, human-computer interface and interaction, biomedical engineering, green energy production, wireless transfer of energy, information theory, digital coding and run length limited coding.
Vikrant Bhateja is an associate professor in the Department of Electronics Engineering Faculty of Engineering and Technology (UNSIET), Veer Bahadur Singh Purvanchal University, Jaunpur, Uttar Pradesh, India. He holds a doctorate in ECE (Bio-Medical Imaging) with a total academic teaching experience of 20 years with around 190 publications in reputed international conferences, journals and online book chapter contributions; out of which 40 papers are published in SCIE indexed high impact factored journals. One of his papers published in Review of Scientific Instruments (RSI) Journal (under American International Publishers) has been selected as "Editor Choice Paper of the Issue'' in 2016. Among the international conference publications, four papers have received "Best Paper Award''. He has been instrumental in chairing/co-chairing around 30 international conferences in India and abroad as Publication/TPC chair and edited 52 book volumes from Springer-Nature as a corresponding/co-editor/author on date.
M. Ramakrishna Murty is currently working as a professor and HoD in the Department of Computer Science and Engineering, Anil Neerukonda Institute of Technology and Sciences (ANITS), Visakhapatnam. He obtained Ph.D. from JNTU-Hyderabad in the year 2015 and M.Tech. from Andhra University, Visakhapatnam, in the year 2003. His research interests are data mining, machine learning, text mining, natural language processing, soft computing and big data analytics. He was adjudged with best faculty award in year 2013 at GMR Institute of Technology, Rajam. He authored a book titled "Introduction to Data Mining and Soft Computing Techniques", by Lakshmi Publisher, New Delhi. He published around 50 research papers in well reputed and indexed, international and national journals and conferences. He recently filed two patents on the area of blockchain technologies. He worked as an editor for Springer AISC series, INDIA-2019, and ICCII-2018.
Sandeep Kumar Panda is currently working as an associate professor in the Department of Computer Science and Engineering, Faculty of Science and Technology at ICFAI Foundation for Higher Education (deemed to be University), Hyderabad, Telangana, India. His research interests include software engineering, web engineering, cryptography and security, blockchain technology, Internet of things and cloud computing. He has published many papers in international journals and international conferences in repute. He received "Research and Innovation of the Year Award" hosted by WIEF and EduSkills under the Banner of MSME, Govt. of INDIA and DST, Govt. of INDIA at New Delhi on January 2020. He has Eight Indian Patents in his credit. His professional affiliations are MIEEE, MACM and LMIAENG.

Content

Intro
Committees
Preface
Contents
Editors and Contributors
Sub-threshold Model of NMOS for Low-Power Application
1 Introduction
2 Literature Review
3 Structural View of NMOS
4 Implementation Process for NMOS Modeling
5 Simulated Results and Discussions
6 Conclusion
7 Future Scope
References
From Farm to Fork: Applications of Artificial Intelligence in the Food Industry
1 Introduction
2 Technologies Integrated in the Food Industry
2.1 AI-Enabled Precision Fermentation
2.2 Seeds of Sustainability with Precision Agriculture Practices
2.3 Transforming the Bakery Industry Through AI
2.4 Decoding Durability: AI's Algorithmic Approach to Shelf Life
2.5 Elevating Alcoholic Beverages with Computer Vision
2.6 AI's Role in Enhancing Food Enzymes
2.7 The AI Revolution in Supply Chain Networks
2.8 Smart Insights, Smarter Decisions: AI and Demand Forecasting
2.9 Innovate, Validate, and Elevate: AI-Driven Quality Assurance Solutions
2.10 Eco-logistics: Smart Warehousing, Distribution, and Sustainable Packaging
3 Conclusion
References
Resilient Domain Authentication Framework for Enhancing Digital Identity Security
1 Introduction
1.1 Limitations of Traditional Authentication Methods
1.2 Significance of Domain Name-Based Authentication
2 Background
3 Proposed Authentication Framework
3.1 MetaMask Browser Extension and DNS
3.2 Architecture of the System and Its Components
4 Experimentation
4.1 Use Cases of TeSC
4.2 ERC-20 Transactions as an Example
4.3 TeSC in MetaMask Design Concept
5 Conclusion
References
Traffic Sign Detection with Pattern Recognition Techniques Using Image Processing
1 Introduction
2 Survey of Related Works
3 Architecture of Proposed System
4 Evaluation
5 Results and Discussion
6 Conclusion and Future Scope
Exploring Advanced Techniques in Natural Language Processing and Machine Learning for In-depth Analysis of Insurance Claims
1 Introduction
2 AI for Insurance
3 Literature Survey
4 Text Summarization
5 Keyword Extraction
6 Results and Observations
7 Conclusion
References
Network Intrusion Detection with SMOTE-ENN and Deep Learning Techniques
1 Introduction
2 Related Works
3 Methodology
3.1 SMOTE-ENN
3.2 Autoencoders
3.3 Multi-layer Perceptron
4 Implementation
4.1 Datasets
4.2 Data Preprocessing
4.3 Feature Extraction and Classification
5 Performance Analysis and Results
5.1 Evaluation Metrics
5.2 Comparative Analysis
5.3 Results and Discussion
6 Conclusion
References
Leveraging Transfer Learning to Enhance Location Accuracy in Mapping Services: A Case Study of Google Maps
1 Introduction
2 Background
3 Related Work
4 Working of Google Maps
4.1 Dijkstra's Algorithm
4.2 A* Algorithm
4.3 Bellman-Ford Algorithm
5 Factors Influencing Google Maps Inaccuracies:
5.1 GPS Signal Problems
5.2 Wi-Fi and Cellular Data
5.3 Power Saving
5.4 Navigation Applications:
5.5 Supervised Learning:
5.6 Cache Information:
6 Transfer Learning
6.1 Machine Learning
6.2 Transfer Learning
7 Applying Transfer Learning for Location Accuracy
8 Methodology and Result Analysis
9 Future Directions
References
Assessment of Enhanced Email Spam Detection System Through Machine Learning Algorithms
1 Introduction
2 Literature Review
3 Methodology
4 The Machine Learning Classification Algorithms and Evaluation Indicators
4.1 Evaluation Indicators
5 Results and Discussion
6 Conclusion
References
Machine Learning Methods for Predicting Traffic Congestion Forecasting
1 Introduction
2 Literature Review
3 Proposed Method
3.1 Data Collection and Preprocessing
3.2 Feature Selection
3.3 Decision Tree
3.4 Random Forest
3.5 SVM
3.6 Neural Network
4 Experimental Setup
5 Results
6 Conclusion
References
Hybridization of Computational Intelligence Algorithm for Scheduling of Tasks and Balancing of Load in Cloud Network
1 Introduction
2 Related Work
3 Problem Formulation
4 Proposed Hybrid Algorithm for Balancing Load Problem
5 Experimental Results
6 Conclusion
References
MDSV: Mobs Detection by Enhanced Fused Feature Base Deep Neural Network from Surveillance Camera
1 Introduction
2 Related Work
3 Proposed Methodology
3.1 Datasets
3.2 Illumination and Contrast Adjustment
3.3 Motion Estimation
3.4 Human Mobs Tracking
3.5 Feature Extraction
3.6 Feature Selection
3.7 Deep Belief Network (DBN)
4 Experimental Result and Performance Analysis
4.1 Comparative Analysis
5 Conclusion
References
IoT-Based Solution for Enhanced Tracking of Individuals Living with Dementia
1 Introduction
2 Methodology
2.1 Research Design
2.2 Planning Phase
2.3 Design Phase
2.4 Development Phase
2.5 Feedback Phase
3 Results
4 Conclusion
References
A Novel Task Scheduling Algorithm in Heterogeneous Multi-cloud Environment
1 Introduction
1.1 Cloud and Cloud Environment
2 Related Work
3 Model and Problem Statement
3.1 Cloud Model
3.2 Application Model and Problem Statement
3.3 Scheduling Model Using Proposed Algorithm
4 Experimental Results
5 Conclusion
References
Evaluating the Integration and Usage of AI in Higher Education
1 Introduction
2 Artificial Intelligence (AI)
3 Role of AI in Higher Education
4 AI Challenges in Higher Education
5 Literature Review
6 Research Methodology
7 Conclusion
References
Evaluating the Connectional Benefits of Artificial Intelligence in the Digital Classroom
1 Introduction
2 AI in Education System
3 Literature Review
4 Learner Example
5 Model of Instruction
6 Domain Expertise
7 Module for Communication
8 Skill Module
9 Model of E-Learning
10 Here Are a Few Well-Known E-Learning Tools
11 AI-Powered Analysis of Student Learning
12 Preparing Data
13 AI Applications in Education
14 To Make the Grading System Better
15 Astute Content
16 Astute Instructions
17 Tailored Education
18 Advantages of AI in Classroom
19 Benefits of AI into the Classroom
20 Benefits of AI to the Teacher
21 Limitations of AI
21.1 Costly
21.2 Inadequate Interpersonal Relationship
21.3 Decrease in the Need for Tutors
21.4 Dependency
22 Conclusion
22.1 Information Loss
References
Influence of AI as an Aspect of Modern Education Era in Present World
1 Introduction
2 Artificial Intelligence (AI)
3 Artificial Intelligence (AI) in the Field of Education
4 Attitude Toward Artificial Intelligence (AI)
5 Attitude Toward Artificial Intelligence (AI) in Reference to Educational Field
6 AI Brings a Change in Educational Field
7 Conclusion
References
Hilbert-Huang Transform Framework-Based Email and SMS Spam Detection
1 Introduction
2 Literature Review
3 Proposed Model
4 Implementation of Hilbert-Huang Transform
5 Results and Analysis
5.1 Performance Evaluation
5.2 Results Using Hilbert-Huang Transform
6 Conclusion
References
The Advancement and Utilization of Artificial Intelligence and Machine Learning in the Financial Industry and Its Impact on Macro and Microeconomics
1 Introduction
2 Literature Survey
3 Artificial Intelligence
4 Machine Learning
5 Advantages of Machine Learning for the Finance Industry
6 How Machine Learning Work in Finance
7 Enlargement and Relevance of AI and ML in Investment Sector
7.1 Artificial Intelligence's Advancement in the Financial Sector
7.2 Financial Sector Implications of Artificial Intelligence
8 Impacts of AI in Financial Market
9 Data Management
10 Algorithmic Trading
11 Fraud Detection and Prevention
12 Risk Management
13 Adoption of AI in Finance
14 Conclusion
References
Analysis on the Cutting-Edge Approach to Assess Artificial Intelligence's Educational Consequences in Contemporary Studies
1 Introduction
2 Literature Survey
3 Role of Artificial Intelligence in Education
3.1 Nature of Artificial Intelligence
4 Technical Aspects of AI in Education
5 Impact of AI on Education
6 Uses of Artificial Intelligence
7 Advantages of Artificial Intelligence
8 Disadvantages of Artificial Intelligence
9 Future Scope
10 Conclusion
References
Data Analytics in Sales and Marketing: A Comprehensive Methodology for Business Analysts
1 Introduction
2 Business Benefits of Big Data
3 Challenges of Big Data in Marketing
4 Big Data Analytics
5 Large-Scale Data
6 Volume
7 Authenticity
8 Speed
9 Diverse
10 Value
11 Projected Model
12 Sales and Marketing
12.1 Sales
12.2 Marketing
13 Model of Sales as Well as Marketing Integration
14 Steps to Implement Big Data Analytics
14.1 Strategy Formulation
14.2 Extraction of Data
14.3 Data Transformation and Storage
14.4 Information Analysis
14.5 Report/Graphic Design
15 Conclusion
References
Wireless Energy Transfer for UAV (Drone) Using Machine Learning
1 Introduction
2 Literature Survey
3 Existing System
4 Proposed System
4.1 Allocation of Resources Based on the HTS Model
4.2 AP-RIS-UT Channel Model
4.3 Advantage Actor-Critic Algorithm
5 Results
6 Comparative Study
7 Conclusion and Future Work
References
Energy Forecasting in Smart Power Net by Machine Learning Algorithms
1 Introduction
1.1 Problem Definition
2 Literature Survey
3 Existing Methodology
4 Proposed Methodology
4.1 Implementation Techniques
4.2 Algorithms Used in Proposed System
5 Results and Discussions
5.1 Output Screenshots
5.2 Comparative Study
6 Conclusion and Future Scope
References
Hand Gesture Recognition and Text-to-Gesture Generation System Using VGG16
1 Introduction
2 Literature Survey
3 Existing System
4 Proposed System
5 Results and Discussions
6 Conclusion
7 Future Scope
References
Tracing Missing Person Through Facial Recognition Using Deep Learning
1 Introduction
2 Literature Survey
3 Existing System
4 Proposed System
5 Implementation
6 Results
7 Conclusion and Future Scope
References
Detecting Fake Face Images in Biometric Systems Using LBP Feature Extraction and CNN
1 Introduction
2 Literature Survey
3 Existing Methodology
4 Proposed Methodology
5 Dataset Details
6 Results and Discussion
7 Conclusion and Future Work
References
Design and Simulation of Metamaterial Structures for FDM Applications
1 Introduction
1.1 FDM Process
1.2 Metamaterials
1.3 Classification of Metamaterials
1.4 Mechanical Metamaterials
1.5 Types of Mechanical Metamaterials
1.6 Acoustic Metamaterial
1.7 Thermal Metamaterials
1.8 Electromagnetic Metamaterials
2 Methodology
2.1 Software Simulation
2.2 Method and Data Collection
2.3 Procedure for Sample Simulation
2.4 Materials and ASTM Standard
3 Results and Discussion
3.1 Tensile Analysis
4 Conclusion
5 Future Scope
References
Machine Learning-Based Threat Detection for Personal IoT Devices
1 Introduction
2 Literature Review
3 Methodology
3.1 Dataset Acquisition
3.2 Model Selection
3.3 Training and Evaluation
3.4 Comparison and Analysis
3.5 Ethical Considerations
3.6 Proposed Model
4 Results
4.1 Convolutional Neural Networks (CNN)
5 Conclusion
References
A Comparative Analysis of Sign Language Detection System
1 Introduction
2 Literature Review
3 Research Methodology
4 Objective of the Study
5 Experimental Results
6 Conclusion
References
Analysing the Impact of Moonlighting and Digital Transformation on Organizational Growth: A Comprehensive Review
1 Introduction
2 Literature Review
3 Research Methodology
4 Findings and Analysis
5 Conclusion
6 Future Scope of the Study
7 Significance of the Study
References
Fatigue Analysis of Metamaterials for Fused Deposition Modeling Applications
1 Introduction
1.1 Materials for FDM
1.2 FDM Printing Parameters
1.3 Post-processing Methods
1.4 Mechanical Metamaterials
1.5 Negative Poisson's Ratio
1.6 Thermal Metamaterials
1.7 Materials and ASTM Standard
2 Method and Data Collection
2.1 Specimen Parameters
2.2 Procedure for Sample Simulation
3 Results and Discussion
3.1 Fatigue Analysis
4 Conclusion
5 Future Scope
References
Advancing Pose Correction Efficiency Through Video Analysis and Incremental Learning in Diverse Domains
1 Introduction
2 Literature Review
3 Proposed Design of an Iterative Dual Metaheuristic Model for Maximizing Backhaul-Effect and Maintaining Optimum Cell Sizes
4 Result Analysis and Comparison
5 Conclusion and Future Scope
References
Integrating AI and ML for Advanced Threat Detection in Cybersecurity
1 Introduction
2 Literature Review
3 Methodology
3.1 Dataset
3.2 Data Preprocessing Steps
3.3 Proposed Method
4 Results and Discussion
4.1 Various Evaluation Parameters
5 Conclusion and Future Scope
References
Half-Mode Substrate Integrated Waveguide Band Pass Filter Integrated with Fractal DGS for SATCOM Applications
1 Introduction
2 Design of Comb-Shaped Half-Mode SIW (HMSIW)
3 Band Pass Filter Formed Using First Iteration of Minkowski Fractal Curve
4 Band Pass Filter Formed Using Second Iteration of Minkowski Fractal Curve
5 Conclusion
References
Intelligent Automation of Security Policy Decisions Using AI: Analysis of ML and DL Approach
1 Introduction
2 Literature Review
3 Methodology
3.1 Data Collection
3.2 Identification of Key Decision-Making Factors
3.3 AI Algorithm Selection
3.4 Algorithm Suitability
3.5 Model Training and Validation
3.6 Intelligent Automation Framework
4 Results and Discussion
4.1 Evaluation Parameters
4.2 Comparison of AI Approaches for Security Policy Automation
5 Conclusion and Future Scope
6 Future Scope
References
Students Live Behavior Monitoring in Online Classes Using AI
1 Introduction
2 Literature Survey
3 Proposed Methodology
4 Implementation Details
5 Results and Discussions
6 Conclusions
References
A Hybrid Ensemble Approach for Cryptocurrency Price Forecasting
1 Introduction
2 Implementation
3 Data Collection
3.1 Data Collection
3.2 Data Cleaning
3.3 Data Normalization
3.4 Feature Engineering
3.5 Model Training
3.6 Forecasting and Evaluation
4 Results
5 Conclusion
6 Future Scope
References
Multi-agent and Artificial Neural Network for Traffic Lighting Optimization
1 Introduction
2 Literature Review
3 Proposed Methodology
4 Implementation of Artificial Neural Network
5 Results and Analysis
6 Conclusion
References
Smart Monitoring and Intrusion Detection for Enhanced Real-Time Network Security
1 Introduction
2 Existing Systems
3 Literature Review
4 Proposed System
5 Ethical and Legal Compliance: By emphasizing the importance of legal and ethical compliance, the suggested method makes sure that network monitoring procedures meet the strictest requirements. Strong access controls, encryption tools, and a dedication to best practices for cyber security are all part of this.
6 Implementation
6.1 Random Forest
7 Results and Analysis
8 Conclusion
References
Comparative Analysis of Morphological Functions for Object Detection in Video Processing
1 Introduction
2 Literature Review
3 Proposed Model
4 Objectives
5 Input Video
6 Frame Extraction
7 Feature Extraction
8 Dataset Preparation
9 Flowchart
9.1 Classifiers
10 AdaBoost
11 Svm
12 J48 Decision Tree
13 Results and Analysis
14 Conclusion
References
Evaluation of Encryption and Decryption Algorithms Efficiency for Safeguarding Pictures
1 Introduction
2 Literature Review
3 Proposed Model
3.1 An Method for Block-Based Transformation
3.2 An Algorithm for Chaotic Maps
3.3 An Algorithm for Targeted Image Encryption Depending on Region
3.4 Algorithm for Block-Based Transformation
4 Results and Analysis
5 Chaotic Map Algorithm
6 Conclusion
References
Optimal Fault Tolerant Based Clustering Approach for Energy-Level Routing in IoT-Based Wireless Sensor Networks
1 Introduction
2 Literature
3 Proposed Method
3.1 Fitness Function
3.2 Final Fitness Function for the Network
4 Experimental Analysis
4.1 Network Simulation Environment
5 Conclusion
References
Efficient Processing Element Architecture Using Hybrid Approximate Multipliers and Parallel Prefix Adders for CNN Accelerators
1 Introduction
2 System Architecture
2.1 Processing Element
2.2 Existing Work on Multipliers
3 Proposed Work
3.1 Hybrid Approximate Multiplier Design with CLA
3.2 Hybrid Approximate Multiplier Design with PPA
3.3 Approximate Hybrid PE with KSA
4 Experimental Results
5 Conclusion
References
Green Chameleon Algorithm: A New Bio-Inspired Meta-Heuristic Algorithm to Solve the Traveling Salesman Problem
1 Introduction
2 Green Chameleon Algorithm
2.1 The Green Chameleon Algorithm Is Based on 3 Major Characteristics of the Chameleon
2.2 The Color Change Function
2.3 The Green Chameleon Algorithm
3 Proposed Methodology
3.1 Steps Involved in Using GCA to Solve TSP
4 Implementation of Proposed Methodology
5 Results and Discussion
6 Conclusion
References
Food Recommendation System Using User Preference
1 Introduction
2 Literature Survey
3 System Implementation
3.1 Existing System
3.2 Proposed System
4 Modules
5 Results
6 Conclusion
References
Detecting Unused Functions in Futhark Programs
1 Introduction
2 Related Work
3 Proposed Method
4 Methodology
5 Experimental Analysis
6 Conclusions
References
Advanced Signal Detection and Channel Estimation in OFDM Systems via LSTM Network
1 Introduction
2 Background
3 Deep Neural Network
4 Results and Conclusions
5 Conclusion
References
Author Index

System requirements

Save as PDF Copy link into clipboard

Schweitzer Fachinformationen

Smart Computing Paradigms: Artificial Intelligence and Network Applications

Description

More details

Other editions

Additional editions

Persons

Content

System requirements