Journal of Ai ML DL
Latest Issue - Volume 1 Number 1 2025
Journal of Ai ML DL
The Journal of Ai ML DL provides a scholarly platform for researchers, engineers, developers, and academicians to publish novel contributions that advance the fields of Ai, ML, a
Journal of Ai ML DL
Volume 1 Number 1 2025
Table of Contents
Research Article
AI Applications in Business
Ariful Islam1*, Sonia Khan Papia2, Al Akhir1, Fahim Rahman3, Sonia Nashid4
AI-powered predictive analytics enhances strategic decision-making, forecasting accuracy, and operational efficiency, driving competitive advantage in data-driven businesses.
Abstract | Full Text |PDF (538 KB) | Open Access Article
Leveraging Artificial Intelligence for Human Resource Analytics from Recruitment to Retention
Md Iqbal Hossain1*, Ispita Jahan2, Md Sakib Mia3, Niladry Chowdhury3, Sonia Khan Papia4
AI-driven HR analytics enhances recruitment, onboarding, and retention, empowering organizations to optimize talent management and workforce productivity.
Abstract | Full Text |PDF (453 KB) | Open Access Article
Al Akhir1*, Sonia Khan Papia2, Sonia Nashid3, Fahim Rahman4, Ariful Islam1
This research provides a functional approach for instant enterprise decision-making by combining Business Analytics with Machine Learning.
Abstract | Full Text |PDF (370 KB) | Open Access Article
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Leveraging Artificial Intelligence for Human Resource Analytics from Recruitment to Retention
AI-driven HR analytics enhances recruitment, onboarding, and retention, empowering organizations to optimize talent management and workforce productivity.
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Artificial Intelligence (AI)-Powered Predictive Analytics: Driving Strategic Transformation in Business Analytics
AI-powered predictive analytics enhances strategic decision-making, forecasting accuracy, and operational efficiency, driving competitive advantage in data-driven businesses.
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Artificial Intelligence in Financial Analytics and Predicting Market Trends and Risk Management
AI continues to transform finance through its growth in forecasting and operational efficiency and risk management in its adoption process.
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AI-Driven Business Analytics and Organizational Growth: Sectoral Adoption, Governance Challenges, and Strategic Priorities in the U.S.
The research demonstrates U.S. firms depend on AI/ML as essential tools which improved governance and organizational growth that lasts.
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Integrating Business Analytics and Machine Learning for Immediate Decision Making Through a Unified Framework
This research provides a functional approach for instant enterprise decision-making by combining Business Analytics with Machine Learning.
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Artificial Intelligence in Regulatory Compliance and Risk Management for Monitoring Standards, Tax Compliance, and Anti-Money Laundering
Organizations benefit from systematic AI implementation through improved compliance monitoring and better risk management and enhanced operational efficiency.
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Artificial Intelligence and Applied Machine Learning to Improve Pre-Analytical and Post-Analytical Processes in Laboratory Medicine
AI and ML transform laboratory medicine by reducing errors, enhancing diagnostics, and enabling personalized, efficient, patient-centered healthcare.
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Enhancing Data Reliability in Management Information Systems through Artificial Intelligence Driven Validation and Error Detection Models
AI-based validation methods help organizations generate precise MIS data which leads to efficient decision-making processes.
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Machine learning in cancer biology: transforming diagnosis, prognosis, and treatment in modern medical research
Machine learning enhances cancer care by improving early detection, personalized treatment, prognosis accuracy, clinical decision-making, and overall patient outcomes.
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Optimizing Resource Allocation and Operational Efficiency in Management Information Systems Using Predictive Machine Learning
The study shows predictive analytics enhances MIS operations which allows organizations to manage resources proactively while improving efficiency and making decisions based on data.
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