Face Sketch Creation and Identification

Author Name

Face Sketch Creation and Identification

Face Sketch Creation and Identification Tejal Dilip Zope, Harshal Liladhar Koli , Devyani Yogesh Gotiwale, Akshay Rajendra Jagtap, Nilesh Choudhary DOI : 10.46335/IJIES.2023.8.5.16 Abstract – Forensic face sketching is a technique used by Investigatory organizations to help identify suspects in criminal investigations. This paper will discuss the process of forensic sketch construction and identification. The […]

Detection of Diabetic Retinopathy Using Deep Learning

Detection of Diabetic Retinopathy Using Deep Learning Shubham Vartak, Ajinkya Parte, Soham Ajgaonkar, Hitesh Ghagave DOI : 10.46335/IJIES.2023.8.4.1 Abstract— Diabetic retinopathy is a major problem worldwide and many people are losing their vision because of it. The disease gets severe if it is not treated properly at its early stages. In this disease, the retinal […]

Age and Gender Prediction Using Deep Learning

Age and Gender Prediction Using Deep Learning Shobhit Yadav , Ashutosh Somavanshi, Teertharaj Haldar, Prof. Rupali satpute DOI : 10.46335/IJIES.2023.8.3.11 Abstract – Attribute information such as age and gender improve the performance of face recognition. A data of pertained images is taken that are used to train model using HAAR Feature-based Cascade Classifiers and our […]

Effectiveness of Machine Learning & Deep Learning Models for Diabetes Prediction

Effectiveness of Machine Learning & Deep Learning Models for Diabetes Prediction Priyabrata Sahu , Jibendu Kumar Mantri DOI : 10.46335/IJIES.2023.8.3.5 Abstract: Hyperglycemia alters blood sugar levels. Hyperglycemia, often known as high blood sugar, is the result of uncontrolled diabetes, which may cause nerve and blood vessel problems. Hyper-glycemia, or high blood sugar, is a typical […]

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 […]

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