Vol. 3 No. 1s (2025): Special Issue

"AI-Powered Innovations in Cybersecurity, Healthcare, and Cognitive Intelligence"

This Special Issue of SMRJ brings together cutting-edge research that harnesses the power of artificial intelligence, deep learning, and machine learning to solve real-world challenges across multiple domains. From safeguarding blockchain systems and analyzing cyber threats in mobile applications to advancing medical diagnostics and cognitive signal analysis, these studies exemplify the transformative potential of intelligent systems. By integrating novel algorithms, optimized frameworks, and hybrid models, this issue provides a comprehensive look into how AI is reshaping the future of secure, smart, and sensitive data-driven environments.

Published: 2025-04-25

Articles

Strengthening Blockchain Security: Countering 51% Attacks Using Dynamic Miner Reputation and Weighted Block Acceptance (DRW-BA)

V. Sita Rama Prasad, G. Harshitha, A.V. Sujitha, M. Asmitha, A. Aishwarya, D. Joshna Priya (Author)

1-13
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Anomaly Detection in Banking Transactions Using Isolation Forest and Temporal Attention-Based LSTM Deep Learning Model

V. Sita Rama Prasad, Neelapu Anusha, Kadigitala Amulya, Kotapati Vishnu priya, Kandregula Deepika Devi (Author)

14-26
SkinTransNet: A Hybrid Attention U-Net and Transformer-Based Framework for Accurate, Explainable, and Fair Skin Lesion Classification

Krishna Rupendra Singh, Taraka Lakshmi Killada, Singilidevi Umadevi, Vadra Devika, Reemali Niharika, Vasupari Swathi (Author)

27-38
- PDF
An Explainable Multimodal Deep Learning Framework for Parkinson’s Disease Detection Using Handwriting, Voice, and Gait Analysis

Y.Vineela Sravya, Siddabattula Sindu Mani, Talada Vineela, T. Haritha, Peddi Gayathri, Shaik Ayusha begum (Author)

39-48
- PDF
Temporal Attention-Augmented BiLSTM with Meta-Ensemble Voting for Predicting Prescription Toxicity in Opioid Medication

J.Nalini, Karmoju Sowmya Rekha, Kavali Triveni, Kannuru Tanusri, Nagireddi Mounika, Kosuri Jyothsna (Author)

49-59
- PDF
Lightweight Machine Learning-Based Static Analysis Framework for Real-Time Android Malware Detection

P.Raja Sekhar, Vangalapudi Sohana, Reshma Shaik, Ponnaganti Thanuja, Kondabattula Joy Mary (Author)

60-69
CogniNet++: A Hybrid Deep Learning Framework for EEG-Based Cognitive State Classification Using Spatial-Temporal Attention and Multi-Task Learning

K.Sireesha, Nammi Ramya, Palepu Sriharshitha, P. Sravani Laxmi, Naimisha Sabbani, Gandiboyina Nomika (Author)

70-79
- PDF

Vol. 3 No. 1s (2025): Special Issue

Articles

Strengthening Blockchain Security: Countering 51% Attacks Using Dynamic Miner Reputation and Weighted Block Acceptance (DRW-BA)

Anomaly Detection in Banking Transactions Using Isolation Forest and Temporal Attention-Based LSTM Deep Learning Model

SkinTransNet: A Hybrid Attention U-Net and Transformer-Based Framework for Accurate, Explainable, and Fair Skin Lesion Classification

An Explainable Multimodal Deep Learning Framework for Parkinson’s Disease Detection Using Handwriting, Voice, and Gait Analysis

Temporal Attention-Augmented BiLSTM with Meta-Ensemble Voting for Predicting Prescription Toxicity in Opioid Medication

Lightweight Machine Learning-Based Static Analysis Framework for Real-Time Android Malware Detection

CogniNet++: A Hybrid Deep Learning Framework for EEG-Based Cognitive State Classification Using Spatial-Temporal Attention and Multi-Task Learning

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