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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 […]

Enhancing Communication Accessibility: A Review Of Deep Learning Techniques in Hand Gesture Recognition for Sign Language Interpretation

Authors : Ashlesha Dhawanjewar DOI : 10.46335/IJIES.2024.9.6.1 Article Link Abstract— Hand gesture recognition, particularly in the context of sign language recognition for deaf-mute individuals, has garnered significant attention due to its potential to enhance communication accessibility. This paper reviews recent advancements in hand gesture recognition, focusing on deep learning methodologies. Specifically, we explore the application of […]