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Aim:                 To detect and recognize the face using real time attendance system based on LBPH algorithm. Abstract:            Face recognition can be considered one of the most successful biometric identification..

Aim:           The primary aim of this study is to develop a robust and accurate auxiliary diagnostic system for breast cancer by integrating machine learning techniques with a hybrid strategy.Abstract:             Breast cancer has replaced lung can..

Aim:             As the house price prediction is vital for both the Ill-being of the public and the economic development, many experts in different research fields have explored and predicted it with the machine-learning strategies. Because the price is susceptible to multiple factors, it..

Aim:           The main aim of this project is to detect Healthcare Insurance Fraud and eliminate using blockchain and machine learning.Abstract:          Health insurance has become an essential part of people’s lives as the number of health issues incre..

Aim:            The proposed BMNet-5 is based on a neural network designed to predict music genre from audio inputsAbstract:             There are billions of peoples listening millions of music in this world. Now a day’s music plays a vital role in ..

Aim:                To detect and identify the Brain Tumor using Deep-Learning techniques.Abstract:               Medical image processing is that the one among the foremost demanding and promising field nowada..

Aim:         To detect and identify the Brain Tumor using Deep-Learning techniquesAbstract:       Brain is the controlling unit of human body. It regulates the functions such as memory, vision, hearing, knowledge, personality, problem solving etc. The main reason for brain tumors is t..

Aim: To detect and identify the Brain Tumor using Deep-Learning techniques  Abstract:Brain is the controlling unit of human body. It regulates the functions such as memory, vision, hearing, knowledge, personality, problem solving etc. The main reason for brain tumors is the uncontrolled development of brain cells. In medical practices..

Aim:           Massive adoption of mobile money in countries, the global transaction value of   mobile money exceeded $2 billion in 2021. Projections show transaction values will exceed $3 billion by the end of 2022, Spammers use Smishing (SMS Phishing) messages to trick a mobile money use..

Aim:          To apply machine learning techniques result in improving the accuracy in the prediction of Chronic Kidney Disease.Abstract:       Chronic kidney disease (CKD) is the serious medical condition where the kidneys are damaged and blood cannot be filtered. In the en..

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 ma..

Aim:           This paper aim to detect Driver Drowsiness Detection by using support Vector Machines.Abstract:      Driver drowsiness is a serious threat to road safety. Most driver monitoring systems (DMSs) already embedded in vehicles to detect drowsiness use vehicle-based feat..

Aim:              To systematically compare and evaluate the performance of various regression techniques for Air Quality prediction in smart cities, aiming to identify the most effective model that can contribute to accurate and timely forecasting. Description:      &n..

Aim:            To detect and identify the Brain Tumor using Deep-Learning techniquesSynopsis:           Brain is the controlling unit of human body. It regulates the functions such as memory, vision, hearing, knowledge, personality, problem solving etc. ..

Aim:            To detect the COVID-19 using x-ray images by using Convolutional neural networkAbstract:            The Corona-virus 2019(COVID-19), which first occurs in Wuhan city of China in December 2019, spread quickly around the world..