Aim:            To detect the breast cancer using K Nearest Neighbor algorithms with the help of data mining techniques.  Abstract:                Breast cancer is one of the most common cancers among the women. Breast c..

Aim:        To detect the COVID-19 using x-ray images by using Convolutional neural network. 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 plague. Due to the r..

Aim: To detect and classify large-scale multi-class pest using Convolution Neural Network. Synopsis: Regarding the growth of crops, one of the important factors affecting crop yield is insect disasters. Since most insect species are extremely similar, insect detection on field crops, such as rice, soybean and other crops, is more challenging than g..

Aim:           To recognize the real time facial expression using Deep learning technique.Abstract:            In today’s world, there is a tremendous increase in usage of machinery. The world needs machines to understand humans and interpret ac..

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:      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:          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:          To apply the Deep Learning techniques based on convolution neural network improving the face mask detector accuracy. Synopsis:            The corona virus disease 2019 (COVID-19) has globally infected over 2.7million people and caused over 180..

Aim:          Optical character recognition (OCR) can be used for the online retrieval of the printed material such as medical documents, forms, or applications for retrieving valuable information that was available in the printed documents. Deep learning approaches have been used to solve natural langua..

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:        The main aim of this project is to provide a reliable and secure cloud service and also increase trustworthiness of certifications by Continuous Auditing.Introduction:        An increasing number of organizations outsource their data, applications and bu..