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Open access Aug 2026

Data Mining Techniques in Blockchain Using Machine Learning Algorithms

The rapid advancement of blockchain technology has generated an enormous volume of complex transaction data, creating significant challenges in data analysis, particularly in terms of scalability, noise, and anonymity. This study aims to identify effective data mining techniques and implement machine learning algorithm...

A. Bist, Aswadi Jaya, Agung Rizky et al. · 0 citations
Review Open access Sep 2026

AI-Based Adaptive E-Learning to Enhance Inclusive Learning Accessibility

The increasing diversity of learners in digital education highlights the need for flexible learning environments that can accommodate different learning needs, abilities, and levels of accessibility. This study examines the role of AI-based adaptive e-learning in improving accessibility and learning effectiveness withi...

A. Bist, R. Bhandari · 0 citations
Conference Aug 2026

An Explainable Machine Learning Framework for Early Detection of Chronic Kidney Disease Using Optimized SVM

The early detection of Chronic Kidney Disease (CKD) is critical in order to commence the right treatment and minimize the chances of the disease from progressing. This paper outlines an interpretable machine learning algorithm for chronic kidney disease classification based on a fine-tuned Support Vector Machine (SVM)....

Parthak Mehra, A. Bist, Devendra Singh et al. · 0 citations
Open access Jul 2026

Investigation of Heat Transfer and Flow Characteristics in Solar Air Heaters with a Spherical Turbulator Using Machine Learning Models

Solar air heaters are attractive for low-carbon thermal applications, but their performance is constrained by weak convective heat transfer in the near-wall region. In this work, a single-pass rectangular solar air heater duct equipped with spherical turbulators is investigated numerically and then accelerated using ma...

V. S. Bisht, Desh Bandhu Singh, Pushpendra Kumar et al. · 0 citations

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