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A Review on Delamination Failure Analysis and Performance Enhancement of Hybrid Polymer Composite Laminates

A Review on Delamination Failure Analysis and Performance Enhancement of Hybrid Polymer Composite Laminates Authors : Dhananjay G. Pardhi , Prashant M. Khanorkar Abstract – Delamination is one of the most critical failure modes in hybrid polymer composite laminates, occurring when adjacent layers separate at their interfaces due to weak interlinear bonding, manufacturing defects, or […]

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Wireless Sensor Networks for Transformer Monitoring

Wireless Sensor Networks for Transformer Monitoring Authors: Babi N.Kotangale, Khushabu D. Choudhari, Ankita L. Rahangdale, Dhmmaratna B. Somkuwar, Chinmay V. Ramteke DOI : 10.46335/IJIES.2026.11.1.5 Abstract: Power transformers are essential components in electrical power generation, transmission, and distribution systems. Their continuous and reliable operation is crucial for maintaining power system stability and preventing unexpected outages. However, transformers […]

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Numerical Investigation of Equivalent Elastic Strain and Shear Stress (XY) in an Excavator Arm under Variable Excavation Conditions

Numerical Investigation of Equivalent Elastic Strain and Shear Stress (XY) in an Excavator Arm under Variable Excavation Conditions Authors: Ashish Makdey, Dr Sachin K Kamble, Dr. Usha C.  Pawar DOI :  10.46335/IJIES.2026.1.1.4 Abstract – Strain-based response parameters and directional stress components provide valuable insight into localized material behavior and potential damage initiation in structural components […]

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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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A Parametric FEA Study of Excavator Arm Deformation and Maximum Shear Stress during Excavation

A Parametric FEA Study of Excavator Arm Deformation and Maximum Shear Stress during Excavation Authors : Ashish Makdey, Dr Sachin K Kamble, Dr. Usha C.  Pawar DOI : 10.46335/IJIES.2026.1.1.2 Abstract – Excavator arms are subjected to severe mechanical loading during excavation, and their structural performance plays a critical role in operational safety and durability. In […]

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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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Crypto Token Mining Website

Authors ; Poonam Rakibe , Ratnesh Sanklecha , Astha Anil Prabhu, Mohit Shirole, Yash Shitole DOI ;  10.46335/IJIES.2025.10.10.3 Abstract – Crypto currency mining is pivotal in blockchain ecosystems, serving as the backbone for decentralized consensus and token generation. This process enables secure and transparent validation of transactions while incentivizing participants through token rewards. However, the inherent […]

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A Crowd-Based Approach for the ‘MGNREGA’ Program to Support Tree Plantation in Bharat using Machine Learning

A Crowd-Based Approach for the ‘MGNREGA’ Program to Support Tree Plantation in Bharat using Machine Learning DOI :  10.46335/IJIES.2024.9.1.5 Authors :  Pramod B Gosavi , Dr. Girishkumar Patnaik Abstract –Increasingly, Crowdsourcing involves harnessing the collective contributions of diverse individuals who may either volunteer or engage in part-time work for the purpose of socioeconomic production, primarily in […]

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Recognition of Human using Periocular Biometrics with Deep Dense Network

Recognition of Human using Periocular Biometrics with Deep Dense Network DOI :  10.46335/IJIES.2024.9.1.4 Authors : Deepali R. Bhamare , Dr. Pravin S. Patil Abstract –The COVID-19 pandemic has drastically reduced people’s life expectancy and instilled fear in people all around the world. Concerns over the long-term effects of wearing a facemask and social alienation are […]

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A Research on Ensemble Deep Learning Techniques for Predicting Heart Diseases

A Research on Ensemble Deep Learning Techniques for Predicting Heart Diseases DOI : 10.46335/IJIES.2024.9.1.3 Authors : Deepak Yashwantrao Bhadane , Dr. Indrabhan S. Borse Abstract – Accurate diagnosis is essential for early identification and effective treatment of heart disease, which is a significant worldwide public health issue. By using ensemble deep learning techniques, this effort […]

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