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Ship Detection and Segmentation using Unet
Aim: To automate the detection of presence of ships and to classify the types of ships available in the given Image.Synopsis: The detection of inshore and offshore ships is an essential task for a large variety of applications in both military and civilian fields. The sur..
Sleep Apnea Detection From Single-Lead ECG: A Comprehensive Analysis of Machine Learning and Deep Learning Algorithms
Aim: We proposed detecting Sleep Apnea Detection From Single-Lead ECG. The advancement of smart wearables technologies has provided a unique opportunity for sleep and health monitoring. However, wearable technologies rely on accurate and real-time monitoring algorithms.Abstract..
Smart Electricity Meter Monitoring and Prediction using iSocket
Aim: Aim of the project is to build a smart home automation system to control home appliances, monitor the power consumed by the appliances and predict the power consumption using machine learning algorithm.Synopsis: In order to implement the..
The Effect of Fake Reviews on e-Commerce during and After Covid-19 Pandemic: SKL-Based Fake Reviews Detection
Aim: To detect SKL-Based fake reviews on e-Commerce with using couples of machine learning algorithm based on sentiment analysis.Abstract: The outbreak of Covid-19 and the enforcement of lockdown, social distancing, and other precautio..
Toward Fast and Accurate Violence Detection for Automated Video Surveillance Applications
Aim: To detect and identify the Violation detection using Deep-Learning techniques.Abstract: The widespread deployment of surveillance cameras, enabled by digital video technologies, has created an overwhelming volume of data that poses challenges for r..