Search - Machine Learning
Raspberry Pi Based Driver Drowsiness Detection System Using CNN
Aim: The aim of the project is will develop the Internet of Things (IoT) and deep Learning in the field of Road Safety and accident prevention. Abstract Thi..
Sentiment Analysis and Emotion Detection on Crypto currency Related Tweets Using GPT2 Model
Aim: The aim of this study is to enhance emotion analysis in the cryptocurrency market using a GPT-2 model, providing a nuanced understanding of public perceptions towards cryptocurrency transactions. This proposed system leverages the capabilities of GPT-2 to predict positive, negative, or neutral emotions..
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..
Time Series Analysis based Tamilnadu Monsoon Rainfall Prediction using Seasonal ARIMA
Aim: Analyze the rain fall data from database for rain prediction.Abstract: &nbs..
Top-k Dominating Queries on Skyline Groups
Aim The main aim of this paper is to study the problem of secure skyline queries over encrypted data. The skyline query is particularly important for multi-criteria decision making but also presents significant challenges due to its complex computations. Synopsis &n..
Twitter Spam Detection Using Natural Language Processing by Encoder Decoder Model
Aim: To enhance the assigning accuracy of former methods in spam detection in Twitter using advanced methods.Synopsis: Social networking sites have become very popular in recent years. Users use them to find new frie..