A.V. Senthil Kumar

Dr. A.V.Senthil Kumar obtained his BSc Degree (Physics) in 1987, P.G.Diploma in Computer Applications in 1988, MCA in 1991 from Bharathiar University. He obtained his Master of Philosophy in Computer Science from Bharathidasan University, Trichy during 2005 and his Ph.D in Computer Science from Vinayaka Missions University during 2009. To his credit he had industrial experience for five years as System Analyst in a Garment Export Company. Later he took up teaching and attached to CMS College of Science and Commerce, Coimbatore. He has to his credit 3 Book Chapters, 8 papers in International Journals, 2 papers in National Journals, 13 papers in International Conferences, 4 papers in National Conferences, and edited a book in Data Mining (IGI Global, USA) and a book in Mobile Computing (IGI Global, USA). He is an Editor-in-Chief for International Journal titled “International Journal of Data Mining and Emerging Technologies”, “International Journal of Image Processing and Applications” and International Journal of Advances in Knowledge Engineering & Computer Science . Key Member for India, Machine Intelligence Research Lab (MIR Labs).He is an Editorial Board Member and Reviewer for various International Journals. He is also a Committee member for various International Conferences. He is a Life member of International Association of Engineers (IAENG), Systems Society of India (SSI), member of The Indian Science Congress Association, member of Internet Society (ISOC), International Association of Computer Science and Information Technology (IACSIT), Indian Association for Research in Computing Science (IARCS), and committee member for various International Conferences. He has got many awards from National and International Societies. Also a freelance writer for Tamil Computer (a fortnightly) and PC Friend (monthly).

Publications

Real-Time Data Decisions With AI and ChatGPT Techniques

Modern businesses face the challenge of how to most effectively harness the power of Artificial Intelligence (AI) to enhance customer engagement and streamline operations. The...

Big Data in Real Time to Detect Anomalies

The proliferation of linked devices and the Internet have made it easier for hackers to infiltrate networks, which can result in cyber attacks, financial loss, healthcare...

ChatGPT and the Moralities of Large Language Modelling in Research Publications

This chapter discusses OpenAI's ChatGPT, a generative pre-trained transformer, which uses natural language processing to fulfill text-based user requests (i.e., a “chatbot”)....

Smart Healthcare System, Digital Health and Telemedicine, Management and Emergencies: Patient Emergency Application (PES) E-Governance Applications

In our world, the large number of sick people with various diseases is very feared, and when there is no help at the right time and in the right form, we lose people. An Android...

Analysis of Structural Breaks in Stock Returns and Volumes in the Indian Stock Markets: Pre- and Post-COVID-19 Era

COVID-19 impacted the whole world's economy at large and all the sectors except a few. Most industries witnessed huge losses in most countries, whether developing, developed...

Blockchain Technology in Disaster Rescue Wings

D. Mukesh Kumar, A. V. Senthil Kumar, Indrarini Dyah Irawati, Rohaya Latip, Ibrahiem M. M. El Emary, Ismail Bin Musirin, Hesham Mohammed Ali Abdullah, Manjunatha Rao L., S. Chaya, Nitin Arya. © 2024. 22 pages.

Blockchain, the base of Bitcoin, has recently received broad attention. Blockchain acts as an immutable ledger that allows transactions to take place in a decentralized manner....

Examining the Impact of AI and Digital Marketing on Consumer Purchase Intention

This study examines the impact of Artificial Intelligence (AI) and Digital Marketing on Consumer Purchase Intention. Through a sample of 400 respondents from North-West India...

A Study of Steganography Approach for Securing Data in a Confidential Communication Using Encryption

A steganography approach is a beneficial approach for hiding and encrypting messages in text, audio, video, and image formats. After the original text file is first encrypted...

Blockchain-Based Secure Transactions

Traditional transactions have several issues, like physical cash, for instance, boarding fake bank notes and also building stock to use money significantly less complex. In this...

Breast Cancer Classification Using Deep Learning

Breast cancer (breast carcinoma) is the most common type of cancer in women, and it is the most dangerous cancer, together with lung cancer. Early detection of this type of...

AI-Enabled Crop Recommendation System Based on Soil and Weather Patterns

Agriculture is the foremost factor which is important for the survival of human beings. Farming contributes to a very big part of GDP; still, several areas exist where...

Role of IoT Technologies in Agricultural Ecosystems

Increasing demand for food quality and size has increased the need for industrialization and intensification in the agricultural sector. The internet of things (IoT) is a...

Cloud-Based TPA Auditing With Risk Prevention

The chapter focuses on cloud security audit mechanisms and models. Here the third-party auditor (TPA) will be provided with the authority access scheme where the security of the...

Artificial Intelligence in Cyber Security

In the digital age, cybersecurity has become an important issue. Data breaches, identity theft, captcha fracturing, and other similar designs abound, affecting millions of...

Significance of Fog Computing to Machine Learning-Enabled IoT for Smart Applications Across Industries

Industry 4.0 refers to the phase of transition that is taking place, enabling automation and data interchange in industrial technologies and processes. Fog computing architecture...

AI-Equipped IoT Applications in High-Tech Agriculture Using Machine Learning

Crop raiding by animals has become one of the most common human-animal disputes as a result of human encroachment of wildlife habitats and deforestation. Farmers suffer huge crop...

Impact and Use of Blockchain Technologies in Organizations

Blockchain consists of emerging technologies such as IT infrastructure, cloud computing, security, peer-to-peer network, and cryptographic keys. The major objective of the...

Artificial Intelligence in Computer Science: An Overview of Current Trends and Future Directions

Artificial intelligence (AI) is a rapidly evolving field that has seen tremendous growth in recent years. In this chapter, the authors provide an overview of current trends in AI...

AI-Powered Technologies Used in Online Fashion Retail for Sustainable Business: AI-Powered Technologies Impacting Consumer Buying Behavior

The business problem that arises from the topic of how AI-powered technologies used in online fashion retail is impacting Indian consumer buying behavior. Marketers need to be...

Blockchain Methods and Data-Driven Decision Making With Autonomous Transportation

Blockchain encourages artificial intelligence towards intelligence while also increasing its autonomy and credibility. In this chapter, the authors examine the relationship...

Machine Learning and IoT for Smart Parking Models and Approaches

There is an increase in the number of vehicles in last two decades. So, it becomes important to make effective use of technology to enable free parking in public and private...

Emerging Trends and Insights on Economic Inequality in the Wake of Global Crises

Global inequality has been a burning issue for years now. As the economies progress, it is expected that the benefits of growth will percolate to the lower sections of society....

A Review on Big Data and Artificial Intelligence for the Healthcare Domain

Big data analytics is frequently termed as the complicated operation of analysing the big data to unfold the information like market trends, correlations, customer preferences...

Credit Card Fraud Detection Using Deep Learning Approach (LSTM) Under IoT Environment

Online payment has mainly relied since 2008 on having a rechargeable cash card that remains the most popular form of payment for e-commerce transactions. Using this card is not...

Data Encryption and Hiding for Secured Data Transmission

The secured data hiding for future transfer is an application proposed for a secured data transmission in which the application alters the originality of the file to an encrypted...

Global Inequality and Global Crises: Past and Present

The developed, developing, and least developed countries have been experiencing differing levels of inequality over the years. The economic and financial crises have also been...

Applications of Artificial Neural Networks for Nonlinear Data

Processing information and analyzing data efficiently and effectively is crucial for any company that wishes to stay competitive in its respective market. Nonlinear data presents...

Fuzzy Expert Systems and Applications in Agricultural Diagnosis

Decision-making is a frequent problem in today’s financial, business, and industrial world. Thus, fuzzy expert systems are increasingly being used to solve decision-making...

Challenges and Applications for Implementing Machine Learning in Computer Vision

Machine learning allows for non-conventional and productive answers for issues within various fields, including problems related to visually perceptive computers. Applying these...

Fuzzy Expert System in Agriculture Domain

Agriculture is an important source of livelihood and economy of a country. Decision making plays an important role in various fields. Farmers are the backbone of agriculture....

Enhanced Fuzzy Assessment Methodology to Find Overlapping in Membership Function Using K Ratio to Find the Yield of Rice

Fuzzy expert systems are designed based on fuzzy logic and deal with fuzzy sets. Many fuzzy expert systems have been developed for diagnosis. Fuzzy expert systems are developed...

Biometric Authentication in Online Learning Environments

Student assessment in online learning is submitted remotely without any face-to-face interaction, and therefore, student authentication is widely seen as one of the major...

Innovative Applications of Big Data in the Railway Industry

Use of big data has proven to be beneficial within many different industries, especially in the field of engineering; however, infiltration of this type of technology into more...

Optimizing Student Engagement in Online Learning Environments

Digital classrooms have become a common addition to curriculums in higher education; however, such learning systems are only successful if students are properly motivated to...

Impact of Student Engagement in Online Learning Environments

Online learning is a fast-growing technology in an educational field which uses internet as a media to deliver the educational contents to the students. The main research area in...

Preface

This Preface is included in the book Web Usage Mining Techniques and Applications Across Industries.

Applications of Web Usage Mining across Industries

Web Usage Mining (WUM) is the process of discovery and analysis of useful information from the World Wide Web (WWW) by applying data mining techniques. The main research area in...

Search Query Recommendations in Web Information Retrieval Using Query Logs

Web is the largest and voluminous data source in the world. The inconceivable boom of information available in the web simultaneously throws the challenge of retrieving the...

Applications of Web Usage Mining across Industries

Web Usage Mining (WUM) is the process of discovery and analysis of useful information from the World Wide Web (WWW) by applying data mining techniques. The main research area in...

Fuzzy Expert System to Diagnose Diabetes Using S Weights for S Fuzzy Assessment Methodology

In the field of medicine decision making it is very important to deal with uncertainties, knowledge, and information. Decision making depends upon the experience, capability, and...

Emerging Application of Fuzzy Expert System in Medical Domain

Fuzzy expert system is an artificial intelligence tool that helps to resolve the decision-making problem with the existence of uncertainty and plays an important role in medicine...

Fuzzy Expert Systems for Disease Diagnosis

The development of fuzzy expert systems has provided new opportunities for problem solving amidst uncertainties. The medical field, in particular, has benefitted tremendously...

Temporal Association Rule Mining in Large Databases

Over the last couple of years, data mining technology has been successfully employed to various business domains and scientific areas. One of the main unresolved problems that...

Mobile Computing Techniques in Emerging Markets: Systems, Applications and Services

Mobile computing facilitates data transmission without needing to be connected to a fixed physical link. Mobile voice communication is widely established throughout the world and...

Knowledge Discovery Practices and Emerging Applications of Data Mining: Trends and New Domains

Recent developments have drastically increased the volume and complexity of data available to be mined, leading researchers to explore new ways to glean non-trivial data...

Temporal Association Rule Mining in Large Databases

Over the last couple of years, data mining technology has been successfully employed to various business domains and scientific areas. One of the main unresolved problems that...

International Journal of Applied Logistics (IJAL)

Lincoln C. Wood. Est. 2010.

The International Journal of Applied Logistics (IJAL) disseminates supply chain management and applied logistic theories, technology development, innovation, and transformation...

Data Mining Association Rules for Making Knowledgeable Decisions

This chapter describes two techniques used to explore frequent large itemsets in the database. In the first technique called “closed directed graph approach,” the algorithm scans...