Python
Deep Fake Video Detection Using Transfer learning
Deep Learning Algorithms for Cyber-Bulling Detection in Social Media Platforms
Deep Learning Model for Driver Behavior Detection in Cyber-Physical System-Based Intelligent Transport Systems
Deep Learning Technique to detect Brain tumor disease using YOLOv8
Deep Learning-Based Workers Safety Helmet Wearing Detection on Construction Sites Using Multi-Scale Features
Deep Neural Architecture for Face mask Detection on Simulated Masked Face Dataset against Covid-19 Pandemic
DeepCurvMRI: Deep Convolutional Curvelet Transform-based MRI Approach for Early Detection of Alzheimer’s disease
Detecting Humans in Search and Rescue Operations Based on Ensemble Learning
Detecting Oil Spills at Marine Environment Using Automatic Identification System (AIS) And Satellite Datasets
Detecting Spam Email with Machine Learning Optimized with Harris Hawks’s optimizer (HHO) Algorithm
Detection of Cardiovascular Diseases in ECG Images Using Machine Learning and Deep Learning Methods
Diagnosis of Liver Disease using ANN and MLAlgorithms with Hyperparameter Tuning
The aim of this project is to develop a system for the diagnosis of liver disease using Artificial Neural Networks (ANN) and Machine Learning (ML) algorithms with hyperparameter tuning. The project focuses on leveraging advanced models and optimization techniques to enhance predictive capabilities, aiding in the early detection and effective management of liver disease.