Deep Learning-Based Workers Safety Helmet Wearing Detection on Construction Sites Using Multi-Scale Features

5,500.00
Aim: Ā Ā Ā Ā Ā  The aim of this study is to detect weapon by employing YOLO v8, focusing on better accuracy. Abstract:

Deep Neural Architecture for Face mask Detection on Simulated Masked Face Dataset against Covid-19 Pandemic

5,500.00
Aim: To apply the Deep Learning techniques based on convolution neural network improving the face mask detector accuracy. Synopsis: Ā Ā Ā Ā Ā Ā Ā Ā Ā Ā Ā Ā 

DeepCurvMRI: Deep Convolutional Curvelet Transform-based MRI Approach for Early Detection of Alzheimer’s disease

5,500.00
Aim: Ā Ā Ā Ā Ā Ā Ā  To detect and identify the Alzheimers disease detection using Deep-Learning techniques Abstract: Ā Ā Ā Ā Ā  Alzheimer’s disease is a neurodegenerative

DeepSkin A Deep Learning Approach for Skin Cancer Classification

5,500.00
Aim:             To design and develop Deep Learning Model that enable early and accurate diagnosis of skin lesions, improving the

Detecting Humans in Search and Rescue Operations Based on Ensemble Learning

5,500.00
Aim: Ā Ā Ā Ā Ā Ā Ā Ā Ā  To develop deep learning models to detect and track humans in aerial images   Abstract: Ā Ā Ā Ā Ā Ā  Detecting humans

Detection of Apple Plant Diseases Using Leaf Images Through Convolutional Neural Network

5,500.00
Aim:             To address the challenges associated with detecting apple plant leaf diseases using deep learning based models. Synopsis:            

Detection of Cardiovascular Diseases in ECG Images Using Machine Learning and Deep Learning Methods

5,500.00
Aim: Ā Ā Ā Ā Ā Ā Ā Ā Ā Ā Ā Ā  The aim of this research is to enhance the detection of cardiovascular diseases in ECG images using advanced

Detection of Tomato Leaf Diseases for Agro Based Industries Using Novel PCA DeepNet

5,500.00
Aim:             To address the critical issue of detecting tomato leaf diseases in agriculture by leveraging advanced techniques in Deep

Driver-Drowsiness Detection System Using Facial Features

5,500.00
Aim: This paper aim to detect Real time driver’s fatigue state using Convolutional Neural Network (CNN) Synopsis: Ā Ā Ā Ā Ā Ā Ā Ā Ā  Accidents are

E-commerce Products Image Classification using EfficientNetB5 with Transfer Learning

5,500.00
The primary aim of this project is to develop a deep learning model for accurate product image classification in e-commerce platforms using the ResNetV2 architecture.

Edge Fire Smoke A novel lightweight cnn model for Real Time video Fire smoke Detection

5,500.00
Aim: Ā Ā Ā Ā Ā Ā Ā  The aim of this study is to address the escalating issue of wildfires on a global scale, particularly

Efficient Classification Of Diabetic Retinopathy Using Binary Cnn

5,500.00
Aim: To detect the diabetic retinopathy disease in the earlier stage using Deep learning method Synopsis: Ā Ā Ā Ā Ā Ā Ā Ā  Diabetic Retinopathy is