Generative AI 2.0 and Data Analytics

1. Exploring Inventive Potential of Generative AI and the Next Generation: Theory and Techniques
Jagjit Singh Dhatterwal, Kuldeep Singh Kaswan, Kiran Malik, and Suman Chahar

2. AI in Education
Abdullahi Omar Elmi, Sarumi Usman Abidemi, Cliford Peter Mlimwa, Ibrahim Ame, Gresmarteneanos Tannous, Nafiseh Yousefi Kian, Sinem Alturjman, and Fadi Al-Turjman

3. Integrating Artificial Intelligence in K-12 Education: A Systematic Review of Strategies, Outcomes, and Applications (2021–2024)
Okito Wembulua and Gülsüm Asiksoy

4. Precise and Computation Efficient Face Recognition Based Real Time Attendance System
Shivsundar Bera, Arindam Roy, Soumyajit Patra, Hriteesha Pramanik, Sayandeep Mondal Swarnadeep Roy, Anirban Chakraborty, and Srilekha Mukherjee

5. The Role of Chatbots in Student Interaction: EFL Speaking and Cognitive Load Theory Management
Elmira Rismani and Gülsüm Aşiksoy

6. Where You Live Matters: Decoding the Geographic Factors Influencing Data Scientist Salaries Through Machine Learning
Shayan Serri Pisheh, Sarumi Usman Abidemi, Cliford Peter Mlimwa, Ibrahim Ame, Gresmarteneanos Tannous, Nafiseh Yousefi Kian, Sinem Alturjman, and Fadi Al-Turjman.

7. Perception of Fairness: The Role of Explainable and Trustworthy Artificial Intelligence
Sabiha Kılıç and Adarsh Garg

8. Prosthetic Hand with Expended Gestures Using Sequential Artificial Intelligence Models
Muhammad Afaq, Sarumi Usman Abidemi, Cliford Peter Mlimwa, Ibrahim Ame, Gresmarteneanos Tannous, Nafiseh Yousefi Kian, Sinem Alturjman, and Fadi Al-Turjman.

9. Generative Adversarial Networks (GANs) for Brain Tumor Imaging Applications: A Systematic Review
Efe Precious Onakpojeruo, Dilber Uzun Ozsahin, Ilker Ozsahin, Fadi Al-Turjman, and Mubarak Taiwo Mustapha

10. Machine Learning and Deep Learning for Colon Cancer Classification with Gene Expression and Histological Image Datasets
Mohaimen Oday Hazim Alrawi, Sarumi Usman Abidemi, Cliford Peter Mlimwa, Ibrahim Ame, Gresmarteneanos Tannous, Nafiseh Yousefi Kian, Sinem Alturjman, and Fadi Al-Turjman.

11. Transfer Learning-Machine Learning Hybrid Approach for Binary Classification of Breast Cancer Using Bilateral Filtering
Abdullahi Umar Ibrahim, Sedra Alialsagher, Chidi Wilson Nwekwo, Şerife Kaba, and Fadi Al-Turjman

12. Analyzing the Agricultural as well as Environmental Data to Address Predicting the Crop Yields for Achieving Zero Hunger (UN SDG 2: Zero Hunger)
Debadrita Jash, Debarati Samanta, Srilekha Mukherjee, and Pradipta Sarkar

13. Smart Homes and Beyond: A Review of IoT Applications Transforming Daily Life
Ahmet Ilhana, Sedra Alialsagher Mohammed, Boran Sekeroglu, and Omid Mirzaei

14. AI-Powered CrossFit Coach: Integrating Local Small Language Model and Geospatial Technology for Enhanced Fitness Training
Shayan Serri Pisheh and Fadi Al-Turjman

15. Deep Learning Architectures for Generative Models in Business Data Management
Jagjit Singh Dhatterwal, Kuldeep Singh Kaswan, and Kiran Malik

16. Optimizing Human-AI Collaboration for Strategic Decision-Making in Business Practices
Neerja Aswale and Archana Singh

17. Benchmarking Practices and Evaluation Metrics for Generative AI in Business Data Analytics
Abdullahi Omar Elmi and Fadi Al-Turjman

Biography

A researcher and academician, Dr. Adarsh Garg has 24 years of teaching, research, consultancy, and administrative experience. She received her PhD degree in information technology from GGSIP University, Delhi. She is currently working as Professor of Data Analytics and IT at GL Bajaj Institute of Management and Research, Gautam Buddh Nagar, Greater Noida, and as a Visiting Professor at Delhi Technical University, Delhi. Prior to joining GLBIMR, she worked with organizations like Galgotias University, WIPRO Tech, GE, IMT Ghaziabad, and Punjabi University, Patiala. She is currently supervising eight PhDs. She has published more than 70 research papers and edited five books.

Dr. Fadi Al-Turjman received his Ph.D. in computer science from Queen’s University, Canada, in 2011. He is a professor and the associate dean for research and the founding director of the International Research Center for AI and IoT at Near East University, Nicosia, Cyprus. Prof. Al-Turjman is the head of Artificial Intelligence Engineering Dept., and a leading authority in the areas of smart/intelligent IoT systems, wireless, and mobile networks’ architectures, protocols, deployments, and performance evaluation in Artificial Intelligence of Things (AIoT).

Prof. John Walsh is the Associate Dean and Director, International College, Krirk University, Thailand. He received his doctorate from Oxford University in 1997 for a thesis concerning international market entry strategy and the success of UK firms in Korea, Japan and Taiwan. He has lived and worked in Sudan, Greece, Korea, Australia, the United Arab Emirates, Thailand and Vietnam, as well as his native UK. He has also taught courses at undergraduate, graduate and PhD level in a number of countries and led the campus at Mandalay and Kathmandu for a previous position, during which time he has taught courses in international business, marketing, management, entrepreneurialism, human resources, and finance.