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

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

Detecting Oil Spills at Marine Environment Using Automatic Identification System (AIS) And Satellite Datasets

5,500.00

Aim:

Ā  Ā  Ā  Ā  Ā  To design and implement a high-accuracy, real-time oil spill detection system that integrates Automatic Identification System data and satellite imagery using the advanced YOLOv11 deep learning model for environmental monitoring and rapid disaster response

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

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

DroneGuard: An Explainable and Efficient Machine Learning Framework for Intrusion Detection in Drone Networks

5,500.00

Aim:

Ā  Ā  Ā  Ā  Ā  Design and deliver a lightweight, interpretable, and efficient intrusion detection framework that detects GPS-spoofing and Denial-of-Service (DoS) attacks in drone networks in (near) real time while producing human-readable explanations for each alarm.

 

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

Enhancing Road Safety: Detection of Animals on Highways During Night

5,500.00

Aim:

Ā  Ā  Ā  Ā  Design and deploy a real-time, low-light-robust animal detection system using YOLOv8 for highways that reliably identifies animals at night and triggers timely driver/road-side alerts to reduce collisions.