International Journal of Artificial Intelligence Engineering and Transformation

7, Issue 1, Year 2026

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2026; 7(1): 01-09

Behavioral Drift Testing in AI-Based Insurance Models: A Framework for Sustained Fairness and Reliability

By : Chandra Shekhar Pareek

Country : United States

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2026; 7(1): 10-12

Artificial Intelligence–Driven Demand Forecasting Models for Enhancing Supply Chain Planning Accuracy in Saudi Industrial Sectors

By : Samir Ali Syed

Country : Saudi Arabia

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2026; 7(1): 13-23

SL_0-MSNet: Multi-scale Unfolding Network with Smooth l_0 Regularization for CS-MRI

By : YingYing Li

Country : China

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2026; 7(1): 24-31

Quantifying the Impact of AI-Enabled Safety Technologies on Accident Prevention and Public Risk Mitigation

By : Adil Shah, Md Nurul Huda Razib, Shanzida Kabir

Country : United States

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2026; 7(1): 32-35

Modeling Consumer Trust in Conversational AI: Cognitive and Affective Pathways

By : Alan Jenn, Mike Knowles, Lynne Hall

Country : United States

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Assistive2026; 7(1): 36-41

A Hybrid CNN-RNN Based Framework for Transforming Braille to Multilingual Speech

By : G Naga Sreevidya, M Rajitha, K Mahesh Babu, K Venkata Tarun, KRMC Sekhar

Country : India

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Menstruation2026; 7(1): 42-48

A Smart Menstrual Health Monitoring System with Predictive Analytics Using Machine Learning and Lifestyle Data

By : Pattan Nashirunnisa, Shaik Nazma, Shaik Mabu Jani, Shaik Shareef, BVVH Chandra Sekhar

Country : India

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SkincareAI2026; 7(1): 49-54

Smart-Derma: A Deep Learning Based Intelligent Skincare Recommendation System

By : K Dedeepya Sree, M Nageswara Rao, M Thirumala Lingheswarrao, G Avinash, BVVH Chandra Sekhar

Country : India

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Cybersecurity2026; 7(1): 55-62

Cybersecurity for Data Integrity in the Pharmaceutical Industry: A Comprehensive Review of Threats, Regulatory Frameworks, and Mitigation Strategies

By : Jaydeep Patel, Het Patel

Country : United States

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Analytics2026; 7(1): 63-66

Applying Data Science and Statistical Modeling to Optimize Business Intelligence, Forecasting, and Risk Management Systems

By : Michael Oppong

Country : United States

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International Journal of Artificial Intelligence Engineering and Transformation

Behavioral Drift Testing in AI-Based Insurance Models: A Framework for Sustained Fairness and Reliability

Behavioral Drift Testing in AI-Based Insurance Models: A Framework for Sustained Fairness and Reliability

Artificial Intelligence–Driven Demand Forecasting Models for Enhancing Supply Chain Planning Accuracy in Saudi Industrial Sectors

Artificial Intelligence–Driven Demand Forecasting Models for Enhancing Supply Chain Planning Accuracy in Saudi Industrial Sectors

SL_0-MSNet: Multi-scale Unfolding Network with Smooth l_0 Regularization for CS-MRI

SL_0-MSNet: Multi-scale Unfolding Network with Smooth l_0 Regularization for CS-MRI

Quantifying the Impact of AI-Enabled Safety Technologies on Accident Prevention and Public Risk Mitigation

Quantifying the Impact of AI-Enabled Safety Technologies on Accident Prevention and Public Risk Mitigation

Modeling Consumer Trust in Conversational AI: Cognitive and Affective Pathways

Modeling Consumer Trust in Conversational AI: Cognitive and Affective Pathways

A Hybrid CNN-RNN Based Framework for Transforming Braille to Multilingual Speech

A Hybrid CNN-RNN Based Framework for Transforming Braille to Multilingual Speech

A Smart Menstrual Health Monitoring System with Predictive Analytics Using Machine Learning and Lifestyle Data

A Smart Menstrual Health Monitoring System with Predictive Analytics Using Machine Learning and Lifestyle Data

Smart-Derma: A Deep Learning Based Intelligent Skincare Recommendation System

Smart-Derma: A Deep Learning Based Intelligent Skincare Recommendation System

Cybersecurity for Data Integrity in the Pharmaceutical Industry: A Comprehensive Review of Threats, Regulatory Frameworks, and Mitigation Strategies

Cybersecurity for Data Integrity in the Pharmaceutical Industry: A Comprehensive Review of Threats, Regulatory Frameworks, and Mitigation Strategies

Applying Data Science and Statistical Modeling to Optimize Business Intelligence, Forecasting, and Risk Management Systems

Applying Data Science and Statistical Modeling to Optimize Business Intelligence, Forecasting, and Risk Management Systems

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