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A Breast Cancer Diagnosis Method based on VIM Feature Selection and Hierarchical Clustering Random Forest Algorithm


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..

A Comparative Study of Deep Learning Networks for COVID-19 Recognition in Chest X-ray Images


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..

A Crop Pest Classification Model Using Deep Learning Techniques


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..

A Machine Learning-Based Classification and Prediction Technique for DDoS Attacks


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..

A Rotational Libra R-CNN Method for Ship Detection


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..

A Secure E-Coupon Service Based on Blockchain Systems


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:         ..

Accident Prevention and Detection System using IoT Integrated in an Electric Pole


Objective:          The mainstay of the project is to design and develop a system is to prevent accidents occurring due to unaware of the vehicles approaching from other turns towards them, using IoT.Introduction:In today’s world, the technology has skyrocketed and has an impact on almost everyone’s life..

An Approach for Prediction of Loan Approval using Machine Learning Algorithm


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..

An Approach to Control the PC with Hand Gesture Recognition using Computer Vision Technique


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..

An Automated System to Limit COVID-19 Using Facial Mask Detection in Smart City Network


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..

An Integrated Task Model for Fake News Detection


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..

An OCR Post-Correction Approach Using Deep Learning for Processing Medical Reports


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..

Automated Smart Attendance System Using Face Recognition


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..

Big Data Analyzing Techniques in Mathematical House Price Prediction Model


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..

Blockchain-Based Public Integrity Verification for Cloud Storage against Procrastinating auditors


 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..

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