Aim:          To detect and identify the Diabetic disease detection using Deep-Learning techniques.Abstract:           In the field of diabetic retinopathy detection, this study introduces a novel, lightweight, and robust deep learning model that achieves rema..

Aim:          To apply machine learning techniques result in improving the accuracy in the prediction of Autism Spectrum DisorderAbstract:       Autism Spectrum Disorder (ASD) is a type of neuro developmental disorder that affects the everyday life of affected patients. Thou..

Aim:          We proposed a complete systematic approach to detect DDOS attack using machine learning algorithm.Abstract:       Distributed network attacks are referred to as Distributed Denial of Service (DDoS) attacks. These attacks take advantage of specific limitations t..

Aim:        The aim of creating a modular ice cream factory dataset on anomalies in sensors to support machine learning research in manufacturing systems is to provide a valuable resource for the development and evaluation of machine learning models and anomaly detection algorithms in the context of manufacturing...

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. For example..

Aim:           Our study aims to introduce a new e-coupon service that does not allow unauthorized forging of e-coupons and manipulation of information on the e-coupon server. To this end, we devise an e-coupon service based on a blockchain system.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 ma..

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:          Human-Computer Interaction (HCI) can be defined as communication between user and computer system so that both will be able to exchange information. For a long time, Keyboards and mouse are the main basis of HCIAbstract:            Huma..

Aim:             To enhance the assigning accuracy of former methods in fake news detection using advanced methods.Abstract:           We are in the age of information, everytime we read a piece of information or watch the news on TV, we look fo..

Aim:                To efficient CNN based system for fire detection in videos captured in uncertain surveillance scenariosSynopsis:            Vision based fire detection framework has lately picked up popularity when contrasted ..

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:             This paper aim to detect the diabetic disease identification using deep learning methods. Abstract: Diabetic Retinopathy is a complication of diabetes that is caused due to the changes in the blood vessels of the retina and is one of the leading causes of blindness in th..

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:                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..