Aim: To apply machine learning techniques result in improving the accuracy in the prediction of cardiovascular disease.Abstract: Heart disease is one of the most significant problem is arising in the world today. Cardi..
Aim: To detect the COVID-19 using Machine Learning Classification Algorithms Abstract: The Corona-virus 2019(COVID-19), which first occurs in Wuhan city of China in December 2019, spread quickly around the world and became a plagu..
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 militar..
Aim: To provide an automated system for recognition the real-case Scenario through login URLsAbstract: Phishing is a social engineering cyber attack where criminals deceive users to obtain their credentials through a l..
Aim: To detect the plant leaf diseases using convolutional neural network for high accuracy detection.Synopsis: Identification of leaf disease is very difficult in agriculture field. If identification is incorrect then there is a huge ..
Aim: Analyze the flood data from database for flood prediction.Abstract: ..
Aim: To determine the loan approval system using machine learning algorithms.Abstract: Loan approval is a very important process for banking organizations. The systems approved or reject the loan applications. Recovery of loans is a major contributing parameter in the financial statements..
Aim: To help doctors and practitioners in early prediction of diabetes using machine learning techniques.Abstract: Diabetes caused due to increase in amount of sugar or glucose which is condensed into the blood Identifying process of diabetes is the glucose an..
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..
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..
Aim: Analyze the rain fall data from database for rain prediction.Abstract: &nbs..
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..
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..