Vol. 5 No. 2 (2025): July-Dec 2025

Published: 2025-07-01

Articles

Development of a classification model for student programming anxiety levels using logistic regression algorithm

Eduardo R. Yu II, Elmerito D. Pineda, Isagani M. Tano, Jaime P. Pulumbarit, Jonilo C. Mababa

1-12
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Responsible integration of generative artificial intelligence in academic writing: a narrative review and synthesis

Umar Sodangi, Akilu Isma’il

13-23
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AI literacy in the public sphere: a theory-informed exploratory study

Subhodeep Mukhopadhyay

24-34
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Optimizing tree-based algorithms for student dropout prediction: a comparative study

Roman B. Villones

35-47
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BlocksecIOT: a lightweight ECC-block-chain framework for decentralized device authentication and anomaly detection in industrial IOT environments

Saman M. Almufti

48-57
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FedGraphNet: a federated graph neural network framework for privacy-preserving traffic forecasting in heterogeneous IOT networks

Zaripova Mukaddas Djumayozovna

58-68
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Privacy-preserving federated learning with differential privacy for healthcare AI: a convergence and utility analysis

Aruna Pavate

69-78
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Temporal graph attention networks for real-time anomaly detection in industrial IOT: a multi-scale hierarchical approach (TGA-Net)

Renas Rajab Asaad

79-87
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Adaptive federated learning with differential privacy for multi-institutional healthcare diagnosis: the DP-FedAvg+ framework

Dr. Ruwaida Mohammed Yas

88-96
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Explainable graph neural networks for drug-target interaction prediction: a GNNExplainer-augmented framework with molecular graph representation

Dr. Mayur R Bhoyar

97-106
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Attention-enhanced bidirectional LSTM for multivariate ECG arrhythmia classification: a deep learning approach with clinical validation

Nadira Tashtemirova

107-117
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DeepBESS: an explainable deep learning framework for battery energy storage system state-of-health prediction and adaptive charging control in renewable energy microgrids

Dr. Raynukaazhakarsamy

118-127
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ADNN-FER: adaptive deep neural networks for real-time facial expression recognition using hybrid attention, compound loss functions, and transformer-enhanced feature fusion

Rizwan Hameed

128-137
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Supervised machine learning for cardiovascular risk prediction and clinical event forecasting: a systematic review of multi-modal models, cross-validation strategies, and fairness-aware approaches

Dr. Mohammed Hasan Ali

138-152
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Intelligent multi-modal cardiovascular disease detection framework using hybrid deep learning and explainable artificial intelligence: a clinical decision support perspective

Prof. Tareq N. Hashem

153-164
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Vol. 5 No. 2 (2025): July-Dec 2025

Articles

Development of a classification model for student programming anxiety levels using logistic regression algorithm

Responsible integration of generative artificial intelligence in academic writing: a narrative review and synthesis

AI literacy in the public sphere: a theory-informed exploratory study

Optimizing tree-based algorithms for student dropout prediction: a comparative study

BlocksecIOT: a lightweight ECC-block-chain framework for decentralized device authentication and anomaly detection in industrial IOT environments

FedGraphNet: a federated graph neural network framework for privacy-preserving traffic forecasting in heterogeneous IOT networks

Privacy-preserving federated learning with differential privacy for healthcare AI: a convergence and utility analysis

Temporal graph attention networks for real-time anomaly detection in industrial IOT: a multi-scale hierarchical approach (TGA-Net)

Adaptive federated learning with differential privacy for multi-institutional healthcare diagnosis: the DP-FedAvg+ framework

Explainable graph neural networks for drug-target interaction prediction: a GNNExplainer-augmented framework with molecular graph representation

Attention-enhanced bidirectional LSTM for multivariate ECG arrhythmia classification: a deep learning approach with clinical validation

DeepBESS: an explainable deep learning framework for battery energy storage system state-of-health prediction and adaptive charging control in renewable energy microgrids

ADNN-FER: adaptive deep neural networks for real-time facial expression recognition using hybrid attention, compound loss functions, and transformer-enhanced feature fusion

Supervised machine learning for cardiovascular risk prediction and clinical event forecasting: a systematic review of multi-modal models, cross-validation strategies, and fairness-aware approaches

Intelligent multi-modal cardiovascular disease detection framework using hybrid deep learning and explainable artificial intelligence: a clinical decision support perspective

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