Python
Designing Secure Data Storage and Retrieval Scheme in Cloud-Assisted Internet-of-Drones Environment
Detecting Humans in Search and Rescue Operations Based on Ensemble Learning
Detecting Spam Email with Machine Learning Optimized with Harris Hawks’s optimizer (HHO) Algorithm
Detection of Apple Plant Diseases Using Leaf Images Through Convolutional Neural Network
Detection of Cardiovascular Diseases in ECG Images Using Machine Learning and Deep Learning Methods
Detection of Careless Responses in Online Surveys
Detection of Tomato Leaf Diseases for Agro Based Industries Using Novel PCA DeepNet
Development of IoT Based Logistic Vehicle Maintenance System
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.
DOC-BLOCK: A Blockchain Based Authentication System for Digital Documents
Driver-Drowsiness Detection System Using Facial Features
