Advancements in Artificial Intelligence and Machine Learning.

Format:

Book

Author/Creator:

Khan, Asif.

Contributor:

Hasan, Mohammad Kamrul.

Varish, Naushad.

Language:

English

Physical Description:

1 online resource (251 pages)

Edition:

1st ed.

Place of Publication:

Sharjah : Bentham Science Publishers, 2025.

Summary:

Artificial Intelligence (AI) and Machine Learning (ML) are revolutionizing industries, reshaping the way we interact with technology, and driving innovation across multiple disciplines. Advancements in Artificial Intelligence and Machine Learning is a comprehensive exploration of the latest developments, applications, and challenges in AI and ML, offering insights into cutting-edge research and real-world implementations. This book is a collection of twelve chapters, each exploring a distinct application of Artificial Intelligence (AI) and Machine Learning (ML). It begins with an overview of AI's transformative role in Next-Gen Mechatronics, followed by a comprehensive review of key advancements and trends in the field. The book then examines AI's impact across diverse sectors, including energy, digital communication, and security, with topics such as AI-based aging analysis of power transformer oil, AI in social media management, and AI-driven human detection systems. Further chapters address sentiment analysis, visual analysis for image processing, and the integration of AI in smart grid networks. The volume also covers AI applications in hardware security for wireless sensor networks, drone robotics, and crime prevention systems. The final set of chapters highlight AI's role in healthcare and automation, including an AI-assisted system for women's safety in India and the use of EfficientNet B0 CNN architecture for brain tumor detection and classification. Together, these chapters showcase the versatility and growing influence of AI and ML across critical modern industries. Key features A multidisciplinary approach covering AI applications in robotics, cybersecurity, healthcare, and digital transformation in 12 organized chapters. A focus on contemporary challenges and solutions in AI and ML across industries. Research-driven insights from

experts and practitioners in the field. Practical discussions on AI-driven automation, security, and intelligent decision-making systems.

Contents:

Title

Copyright

End User License Agreement

Contents

Preface

List of Contributors

Next-Gen Mechatronics: The Role of Artificial Intelligence

Nafees Akhter Farooqui1, Zulfikar Ali Ansari1,*, Rafeeq Ahmed2, Ahmad Neyaz Khan1, Shadab Siddiqui3, Mohammad Ishrat1, Mohd Haleem4 and Sarosh Patel5

INTRODUCTION

OVERVIEW OF ARTIFICIAL INTELLIGENCE

Machine Learning (ML)

Deep Learning (DL)

Natural Language Processing (NLP)

Computer Vision

Robotics

Expert Systems

Data Science

Explainable AI

APPLICATIONS OF AI IN MECHATRONICS

Self-driving Vehicles

Smart Manufacturing

Healthcare

CHALLENGES IN AI-MECHATRONICS INTEGRATION

Multidisciplinary Coordination

Handling Complexity

Real-time Processing

Sensor Fusion

Robustness and Adaptability

Safety and Reliability

Data Efficiency and Privacy

Integration with Legacy Systems

Data Availability

Ethical Considerations

FUTURE PROSPECTS

Cognitive Mechatronics

Swarm Robotics

CONCLUSION

REFERENCES

Advancements and Applications of Artificial Intelligence and Machine Learning: A Comprehensive Review

Santoshachandra Rao Karanam1,*, A.B. Pradeep Kumar1, Prakash Babu Yandrapati1, B. Pruthviraj Goud2, S. Vijaykumar2 and Illa Mahesh Kumar Swamy2

BACKGROUND

OBJECTIVES

STRUCTURE OF THE PAPER

EVOLUTION OF ARTIFICIAL INTELLIGENCE

Early Developments

Emergence of Machine Learning

Deep Learning Revolution

PRINCIPLE CONCEPTS IN ARTIFICIAL INTELLIGENCE

Supervised Learning

Unsupervised Learning

Reinforcement Learning

Deep Learning Architectures

Natural Language Processing

RECENT ADVANCEMENTS IN AI AND ML

RECENT ADVANCEMENTS IN NLP AND COMPUTER VISION

APPLICATIONS OF ML IN AI.

APPLICATIONS OF AI IN HEALTHCARE

AI IN FINANCE

TRANSPORTATION AND AUTONOMOUS SYSTEMS

AI IN ENTERTAINMENT AND GAMING

CHALLENGES AND ETHICAL CONSIDERATIONS

FUTURE DIRECTIONS AND OPPORTUNITIES

AI-based Aging Analysis of Power Transformer Oil

Mohammad Aslam Ansari1, Mohd Khursheed2,* and M. Sarfraz3

PROPERTIES OF TRANSFORMER OIL

Electrical Properties

Electrical Breakdown Voltage (BDV)

Resistivity

Dielectric Dissipation Factor (Tan Delta)

Physical Properties

Water Content

Interfacial Tension

Flash Point

Viscosity

Pour Point

Chemical Properties

Neutralization Value

Corrosive Sulphur

BASICS OF "ANN" AND "ANFIS" METHODS

DEVELOPMENT OF ANN MODEL FOR AGE PREDICTION OF OIL

Simulation Results of "ANN Model

DEVELOPMENT OF "ANFIS" MODEL FOR AGE PREDICTION OF OIL

Simulation Results of "ANFIS" Model

COMPARISON OF "ANN" AND "ANFIS" MODEL

Artificial Intelligence and Social Media: Strength, Management and Responsibility

Nafees Akhter Farooqui1,*, Shamsul Haque Ansari1, Mohd Haleem2,*, Rafeeq Ahmed3 and Mohammad Islam2

Communication and Connectivity

Information Dissemination

Cultural Impact

Political Impact

Economic Influence

Mental Health

Privacy and Security

THE ROLE OF SOCIAL MEDIA AND ITS IMPACT ON SOCIETIES

DIFFERENT WAYS THROUGH WHICH SOCIETIES CAN BE MANIPULATED

Social Media and Online Platforms

Stories and Edited Video Content

Political Interference

Dissemination of False Information

Manipulation Through Deepfakes

Monetary Policies

ESSENTIAL CHARACTERISTICS OF MANIPULATION

Deception

Control

Exploitation

Planning with a Strategic Approach

Exerting an Impact on Emotions

MANIPULATION AND AI

ADDRESSING DIGITAL MANIPULATION.

Critical Thinking and Media Literacy

Verify Information

Check URLs and Sources

Be Skeptical of Emotional Appeals

Update Privacy Settings

Use Strong Passwords and Enable Two-Factor Authentication

Stay Informed About Digital Threats

DISINFORMATION DETECTION AND COMBATING DISINFORMATION

ETHICAL OBLIGATIONS AND SOCIETAL RESPONSIBILITIES OF AI DEVELOPERS

Transparency and Responsibility

Equity and Impartiality

Privacy

Security

Empowering Users

Evaluation of Societal Repercussions

Ongoing Observation and Enhancement

Cooperation and the Exchange of Knowledge

SOCIETAL RESPONSIBILITIES OF REGULATORY BODIES

Implementation of Criteria

Safeguarding the Rights and Interests of Consumers

Ensuring the Safety of the Public

Ethical Reflections

Promotion of Knowledge and Consciousness

Engagement with Global Organizations

Recent Trends in AI-Driven Human Detection Tactics

Mohd. Aquib Ansari1, Khalid Anwar1,*, Arvind Mewada1 and Aasim Zafar2

CLASSIFICATION OF HUMAN DETECTION TECHNIQUES

CLASSIFIERS

Naive Bayes Classifier (Generative Learning Model)

Nearest Neighbor

Logistic Regression (Predictive Learning Model)

Decision Trees

Random Forest

Neural Network

DATASETS FOR HUMAN DETECTION

FUTURE RESEARCH OPPORTUNITIES

Exploring Fuzzy Logic in Human Detection

Neutrosophic Deep Learning Architectures for Multimodal Human Detection

Adaptive Fusion of Fuzzy and Neutrosophic Techniques

Explainable AI for Human Detection

Cross-Domain Transfer Learning with Fuzzy and Neutrosophic Models

Combating Cyber Attacks in Human Detection System

A Review of Sentiment Analysis Opinion Mining and Using Machine Learning

Nadiya Parveen1,* and Mohd Waris Khan1

Sentiment Analysis.

Sentiment Analysis Applications

Role of Machine Learning in Sentiment Analysis

REVIEW OF LITERATURE

COMPARATIVE ANALYSIS

Methods and Approaches Used for Sentiment Analysis

MACHINE LEARNING TECHNIQUES

Naïve Bayes (NB)

Support Vector Machine (SVM)

Decision Tree (DT)

Dataset Domain

Challenges of Sentiment Analysis

CONCLUSION AND FUTURE SCOPE

State-of-the-Art Techniques in Visual Analysis for Image Processing and Pattern Recognition: A Systematic Review

Santoshachandra Rao Karanam1,*, Naresh Tangudu2, Kalangi Praveen Kumar3, T.N.S. Padma4, Illa Mahesh Kumar Swamy3 and P. Nagamani3

Overview of Image Processing and Pattern Recognition

Importance

Applications

FUNDAMENTALS OF IMAGE PROCESSING

Basics of Digital Images

Image Representation (Pixel, Colour Models)

Image Enhancement Techniques

Histogram Equalization

Contrast Stretching

Filtering (Spatial and Frequency Domain)

Image Restoration

Image Compression

Lossless Compression

Lossy Compression

Image Transform

IMAGE SEGMENTATION

Thresholding Techniques

Edge Detection

Region-based Segmentation

Clustering Techniques

Watershed Transform

FEATURE EXTRACTION

Basics of Feature Extraction

Feature Selection Methods

Texture Analysis

Shape Analysis

Feature Descriptors (SIFT, SURF, etc.)

PATTERN RECOGNITION

Introduction to Pattern Recognition

Supervised and Unsupervised Learning

Classification Techniques

Support Vector Machines (SVM)

Neural Networks

k-Nearest Neighbors (k-NN)

Performance Evaluation Metrics

OBJECT DETECTION AND RECOGNITION

Object Detection Techniques

Haar Cascades

Histogram of Oriented Gradients (HOG)

Object Recognition

Template Matching

Deep Learning-based Approaches.

Applications in Computer Vision

CASE STUDIES AND APPLICATIONS

Medical Image Processing

Biometric Recognition

Remote Sensing

Autonomous Vehicles

Security and Surveillance

CHALLENGES AND FUTURE DIRECTIONS

Current Challenges in Image Processing and Pattern Recognition

Emerging Technologies

Potential Future Trends

SUMMARY OF KEY POINTS

IMPORTANCE OF IMAGE PROCESSING AND PATTERN RECOGNITION

FINAL REMARKS

CONSENT FOR PUBLICATION

Cyber-Physical Architecture of Smart Grid Network

A.K.M. Ahasan Habib1, Mohammad Kamrul Hasan1,* and Shayla Islam2

POWER GRID DEVELOPMENTS

DIFFICULTIES OF CONVENTIONAL GRID

SMART GRID

SMART GRID KEY TECHNOLOGY

ENVIRONMENT AND ECONOMIC IMPACT

ACKNOWLEDGEMENTS

Improving the Hardware Security of Wireless Sensor Network Systems by Using Soft Computing

Masood Ahmad1,*, Mohd Waris Khan1, Satish Kumar1, Mohd Faizan1, Mohd Faisal1, Malik Shahzad Ahmad Iqbal2 and Raees Ahmad Khan3

MATERIAL AND METHOD

Step 1: Hierarchical Structure

Step 2: Pairwise Comparison

Step 3: Calculate Priority Weights

Step 4: Consistency Check

Step 5: Synthesize Results

Step 6: Decision Making

RESULTS AND DISCUSSION

Step 1: Relationship

Step 2: Normalization

Step 3: Calculate Priority Weights for Criteria

Step 4: Calculate Consistency

Hardware Encryption

Final Weighted Score for "Secure Boot" (S1)

Final Weighted Score of TPM (S2): 0.144

Final Weighted Score of Physical Lock (S3): 0.463

Final Weighted Score of Hardware Encryption (S4): 0.555

CONCLUDING REMARKS

Unveiling the Sky: Exploring Synergies in Drone Robotics and Automation through Artificial Intelligence and Machine learning.

Md Akhtar Khan1,*, Kiran Kumar2 and Ahmed F. EI Sayed3.

Notes:

Description based on publisher supplied metadata and other sources.

ISBN:

981-5322-58-3

OCLC:

1526722487