Applied Data Science and Analysis is a respected journal dedicated to real-world applications of data science. It provides a platform for experts to share innovative ideas and methodologies. Focused on bridging theory and practice, it showcases cutting-edge research and case studies in data analysis, machine learning, and more. Welcoming diverse contributions from fields like business, healthcare, and social sciences, the journal fosters collaboration among data professionals, aiming to advance the impact of data science in practical settings

Vol. 2025 (2025)

In Progress

Published: 2025-01-10

Limitations of Deep Learning vs. Human Intelligence: Training Data, Interpretability, Bias, and Ethics

Yahya Layth Khaleel , Mustafa Abdulfattah Habeeb , Thierry Oscar Codjo EDOH

3-6

Integration of Artificial Intelligence, Blockchain, and Quantum Cryptography for Securing the Industrial Internet of Things (IIoT): Recent Advancements and Future Trends

Guma Ali , Aziku Samuel , Simon Peter Kabiito , Zaward Morish , Adebo Thomas , Wamusi Robert , Asiku Denis , Malik Sallam , Maad M. Mijwil , Jenan Ayad , Ayodeji Olalekan Salau, Klodian Dhoska

19-82

Predictive Modeling and Analysis of Monkeypox Outbreaks Using Machine Learning Techniques

Rand Mohanad Maher , Saba Hussein Rashid , Mustafa Abdulfattah Habeeb , Yahya Layth Khaleel , Fatimah N. Ameen

94-111

Correcting Convexity Proofs for Two Signomial Functions in Geometric Programming

Benson Turyasingura , Byamukama Willbroad , Ahmed T. Alhasani , Wesam Sarahn deyab

125-131

Assessing the Impact of Quantum Computing on Data Encryption Practices and Information Security

Zinah Tareq Nayyef , Najwan Abed Hasan , Yasir A. F. Alaabedi , Mayasa M. Abdulrahman , J. F. Tawfeq , Ahmed Dheyaa Radhi

132-145

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