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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 […]

Retinal Vessel Segmentation by Pixel Optimization using the BAT Algorithm calculations and A Deep Neural Network

Retinal Vessel Segmentation by Pixel Optimization using the BAT Algorithm calculations and A Deep Neural Network DOI: 10.46335/IJIES.2024.9.1.1 Authors : Prof. Shubhangi Chaware , Dr.Mohd. Zuber Abstract – Non-uniform illumination and low contrast of blood vessels are challenging tasks in retinal segmentation. Non-accurate blood vessel segmentation degrades the efficacy of automatic blood vessel segmentation. Recently, […]

Deciphering Hyperspectral Image Classification: A Comprehensive Exploration

Deciphering Hyperspectral Image Classification: A Comprehensive Exploration DOI : 10.46335/IJIES.2024.9.2.14 Authors  :  Yogita H. Dhande, Pallavi P. Surwade, Hemraj Dhande Abstract – Hyperspectral imaging is a sophisticated technique that captures multidimensional images of objects by combining imaging and spectroscopic technologies. With hyperspectral imaging (HSI), we can explore both external and internal characteristics of various objects. […]

Deep Learning based Depression Estimation using Facial Expressions

Deep Learning based Depression Estimation using Facial Expressions DOI: 10.46335/IJIES.2024.9.2.1 Authors : Chhaya Nayak , Dr. Sachin Patel Abstract –The serious mental health condition of depression may greatly impact a person’s daily life. Chronic sorrow, lack of interest in once-enjoyed activities, weariness, changes in food or sleeping patterns, difficulties focusing, feelings of hopelessness, and other […]

Drowsiness Detection Using Python and Deep Learning

Drowsiness Detection Using Python and Deep Learning DOI :10.46335/IJIES.2024.9.3.7 Authors : Rahul bhandekar, Manish Tembhare, Himanshu Pardhi, Pranali Dekate, Shivani Amrute Abstract –   This abstract introduces an advanced drowsiness detection system leveraging cutting-edge artificial intelligence (AI) technologies. Drowsy driving significantly threatens road safety, leading to accidents, injuries, and fatalities worldwide. To address this critical issue, our […]

Comprehensive Study on Plant Disease Detection by using Hybrid Convolution Techniques

Comprehensive Study on Plant Disease Detection by using Hybrid Convolution Techniques DOI :  10.46335/IJIES.2024.9.4.22 Authors : Manesh P. Patil , Dr. Indrabhan S. Borse Abstract – The food supply of the world depends on plants. Many environmental factors can cause plant diseases, which can lead to significant losses in productivity. However, manually identifying plant diseases […]

Comparative Study of Deep Learning Architectures for Accurate Colon Cancer Diagnosis

Comparative Study of Deep Learning Architectures for Accurate Colon Cancer Diagnosis DOI : 10.46335/IJIES.2024.4.5.19 Authors : Jitendra P Patil , Tushar H Jaware, Ravindra D Badgujar, Mahesh B Dembrani Abstract – This study addresses the pressing public health concern of colon cancer by examining performance of deep learning algorithms in its classification. Utilizing a diverse […]

Intrusion Detection in Network Systems using AI

Intrusion Detection in Network Systems using AI DOI : 10.46335/IJIES.2025.10.10.1 Authors: Pradip Athawale, Dr. S.V Sonekar, Dr. Supriya S. Sawwashere, Dr. Ashutosh O. Lanjewar, Prof. Mirza M. Baig, Dr. S.K. Mandavgade Abstract: There essential to protecting network infrastructures by identifying and addressing potential cyber threats. However, with the continuous evolution and increasing complexity of cyber-attacks, traditional IDS […]

Authors : Jaya Shrivastav , Dr. Ranu Pandey DOI : 10.46335/IJIES.2024.9.6.21 Article Link Abstract – Lung cancer continues to be one of the most lethal malignancies worldwide, primarily due to its late-stage detection and the complexity of accurate diagnosis using traditional methods. Early diagnosis significantly enhances treatment outcomes, yet current clinical practices, which often rely […]

Face Recognition Based Attendance System

Authors :  Adwait Kotewar, Ashwin Falke, Devendra Thawari DOI : 10.46335/IJIES.2024.9.6.5 Article Link Abstract—The old, ineffective techniques of measuring atten- dance are being replaced by newer, more advanced technologies. Face recognition based attendance system have become a cutting- edge and practical resolution to this problem. In order to expedite the process of taking attendance in business […]