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A Lightweight Robust Deep Learning Model Gained High Accuracy in Classifying a Wide Range of Diabetic Retinopathy Images
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..
A Machine Learning Framework for Early-Stage Detection of Autism Spectrum Disorders
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..
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 Modular Ice Cream Factory Dataset on Anomalies in Sensors to Support Machine Learning Research in Manufacturing Systems
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...
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:  ..
Agricultural Loan Recommender System – A Machine Learning Approach
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 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 Integrated Multi-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..
ATT Squeeze U-Net A Lightweight Network for Forest Fire Detection and Recognition
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 ..
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..
Automatic Detection and Monitoring of Diabetic Retinopathy Using Efficient Convolutional NeuralNetworks
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..
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..
Brain Tumor Detection and Classification Using Convolutional Neural Network (CNN)
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..