Vol. 6 No. 1 (2026): Jan-June 2026

Published: 2026-01-01

Articles

AI literacy in India through the lens of national policy: a four-dimensional evaluation

Subhodeep Mukhopadhyay

1-10
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A comparative study of cloud-native vs. edge computing architectures for real-time data processing

Noor Alwan Malk

11-21
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Hybrid gradient boosting with SMOTE-augmented feature engineering for high-accuracy cardiac arrhythmia detection: a comparative supervised machine learning study

Dr. Vaibhav Bhushan Tyagi

22-30
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HAC-UML: A hybrid autoencoder-enhanced clustering framework for unsupervised anomaly detection in industrial IIoT sensor networks

Dr. Mayur R Bhoyar

31-41
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ClinFormer: a multi-modal clinical transformer for explainable major adverse cardiovascular event prediction from electronic health records

Dr. Ramesh Murlidhar Bhatawdekar

42-52
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GABP-net: a hybrid genetic algorithm–back propagation neural network with adaptive fitness-driven weight optimization for predictive fault detection in industrial internet of things

Dr. A.K. Sharma

53-63
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HAFEM: Hybrid attention-driven facial expression mapping for real-time multi-class emotion recognition in unconstrained environments

Deep Chatterjee

64-74
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HATN: hierarchical adaptive transformer network for real-time medical image segmentation using hybrid CNN-ViT architecture with multi-scale attention and uncertainty-aware loss functions

Dr. Veerpratap Meena

75-87
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Supervised machine learning models for cancer prognosis and treatment response prediction: A systematic review of algorithm performance, feature importance, and clinical deployment

Hidayath Ali Baig Mohammed

88-99
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QEML-Net: Quantum-enhanced machine learning for predictive maintenance in industrial IoT environments using hybrid classical-quantum neural networks

Dr. Inam Ullah Khan

100-111
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Pathformer: a hierarchical vision transformer for pan-cancer grade classification, survival prediction, and biomarker status inference from whole-slide histopathology images

Zayyanu Yunusa

112-126
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SC-VAEGAN: spectral-constrained variational autoencoder with generative adversarial networks for robust unsupervised deep clustering with density-aware latent representations

Dr. Raynukaazhakarsamy

127-135
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