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A Unified, Interpretable, and Scalable Deep Learning Framework Integrating Foundation Models, Self-Supervised Learning, and Neuromorphic Computing for Robust Multi-Class Image Recognition

A Unified, Interpretable, and Scalable Deep Learning Framework Integrating Foundation Models, Self-Supervised Learning, and Neuromorphic Computing for Robust Multi-Class Image Recognition Authors: Raghavendra Rao Ankam , Burra Ramanuja Srinivas , G Maheswara Rao, S.Mallikarjunaiah DOI : 10.46335/IJIES.2026.1.1.3 Abstract –  Recent developments in deep learning have substantially advanced image recognition performance; however, achieving scalable, interpretable, and […]

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Systematic Review and Meta Synthesis of Layer-2 Blockchain Architectures for Tokenized Land Registry Systems

Systematic Review and Meta Synthesis of Layer-2 Blockchain Architectures for Tokenized Land Registry Systems Author : Muhammad Shahid DOI : 10.46335/IJIES.2026.1.1.1 Abstract: The integration of block chain technology with land registry systems represents a paradigm shift in property rights management. This meta-synthesis examines Layer-2 tokenized land registry architectures through a systematic review of 47 peer-reviewed publications […]

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An In-depth Review of Machine Learning & Deep Learning Models for Enhancing Security and Scalability in Edge Computing

An In-depth Review of Machine Learning & Deep Learning Models for Enhancing Security and Scalability in Edge Computing Authors : Mr. Pankaj S. Wankhede , Ganesh Khekare ,  Dr. Amitabh Wahi DOI : 10.46335/IJIES.2025.10.8.20 Abstract: The current reality is very fast-paced edge computing that shortly will be demanding robust security and scaling solutions for its […]

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