d-BAME Distributed Blockchain-Based Anonymous Mobile Electronic Voting

5,500.00
Aim: Ā Ā Ā Ā Ā Ā Ā Ā Ā  We are presenting a new e-Voting System with Fingerprint scanning that will overcome the drawbacks of the current

Data-Driven Early Diagnosis of Chronic Kidney Disease: Development and Evaluation of an Explainable AI Model

5,500.00
Aim: Ā Ā Ā Ā Ā  The primary aim of this research is to design, build, and rigorously evaluate an interpretable AI model for

DEA-RNN: A Hybrid Deep Learning Approach for Cyberbullying Detection in Twitter Social Media Platform

5,500.00
Aim: Ā Ā Ā Ā Ā Ā Ā Ā Ā Ā  Cyberbullying (CB) has become increasingly prevalent in social media platforms. With the popularity and widespread use of social

DEDUCT: A Secure Deduplication of Textual Data in Cloud Environments

5,500.00
Aim:Ā  To design and implement DEDUCT, a secure and efficient data deduplication method for textual data. The goal is to reduce storage demands while ensuring data confidentiality and supporting resource-constrained devices.

Deep Convolutional Neural Network for Fire Detection

5,500.00
Aim: Ā Ā Ā Ā Ā Ā Ā Ā Ā  To efficient RCNN based system for fire detection in videos captured in uncertain surveillance scenarios Synopsis: Ā Ā Ā Ā Ā Ā Ā Ā Ā  Vision

Deep Ensemble Machine for Video Classification

4,000.00
Abstract:         Video classification has been extensively researched in computer vision due to its wide spread use in many important applications

Deep Fake Video Detection Using Transfer learning

5,500.00

Aim:

Ā Ā Ā Ā Ā  To enhance deep fake detection by extracting facial features using FaceNet512 and training these features with transfer learning models. Upon detecting deep fake content, the system will automatically send an email alert with the manipulated image.

Deep Learning Algorithms for Cyber-Bulling Detection in Social Media Platforms

5,500.00
To improve the accuracy and efficiency of cyberbullying detection in social media text by utilizing an advanced machine learning model (DistilBERT) that overcomes ambiguity and classification challenges.

Deep Learning Technique to detect Brain tumor disease using YOLOv8

5,500.00
Aim: The aim of this research is to develop a more effective and efficient brain tumor segmentation system using the YOLOv8 architecture.

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