Search - Machine Learning
Credit Card Fraud Detection Using State-of-the-Art Machine Learning and Deep Learning Algorithms
Aim: People can use credit cards for online transactions as it provides an efficient and easy-to-use facility.With the increase in usage of credit cards, the capacity of credit card misuse has also enhanced. Credit card frauds cause significant financial losses for both credit card holders..
Crop Prediction Based on Characteristics of the Agricultural Environment Using Various Feature Selection Techniques and Classifiers
Aim: Predict the crop recommendation for a agriculture environment using machine learning technique and also using various feature selection techniques and classifiers.Abstract: Agriculture is a growing field of research. In particular, crop prediction i..
Crop Yield Prediction based on Indian Agriculture using Machine Learning
Aim: To be precise and accurate in predicting crop yield and deliver the end user with proper recommendations about required fertilizer ratio based on soil parameters.Abstract India is the land of agriculture and it is the major source of economy.70% of Ind..
Crop Yield Prediction Using Random Forest Algorithm
Aim: Predict the crop type and price of the crop using machine learning methodology with accurate results.Abstract India is the land of agriculture and it is the major source of economy. 70% of..
Data-Driven Early Diagnosis of Chronic Kidney Disease: Development and Evaluation of an Explainable AI Model
Aim: The primary aim of this research is to design, build, and rigorously evaluate an interpretable AI model for the early diagnosis of Chronic Kidney Disease (CKD) by leveraging a diverse dataset of patient information.Abstract: Chronic Kidney Disease (CKD) is curr..
Denoising in the Dark: Privacy Preserving Deep Neural Network Based Image Denoising
Abstract Large volumes of images are being exponentially generated today from various kinds of imaging devices (smart phones, medical imaging equipment, digital cameras, etc.). Such tremendous growth is further greatly accelerated along with the fast development and wide deployment of diverse In..
Design of face detection and recognition system monitor students during online examinations using Machine Learning algorithms
Aim: To ease the process of attendance during online classes and to prevent malpractice during online assessments. Abstract: Today’s pandemic situation has changed the way of education to students. Education system had comp..
Detecting Spam Email with Machine Learning Optimized with Harris Hawks’s optimizer (HHO) Algorithm
Aim: This study aims to improve the accuracy of spam email detection by leveraging a hybrid approach employing the Harris Hawks Optimizer (HHO) in conjunction with the powerful XGBoost algorithm for feature selection in machine learning.Abstract: ..
Detection of Cardiovascular Diseases in ECG Images Using Machine Learning and Deep Learning Methods
Aim: The aim of this research is to enhance the detection of cardiovascular diseases in ECG images using advanced machine learning techniques. Abstract: The accurate and timely detection of cardiovascular diseases thr..
Detection of Careless Responses in Online Surveys
Abstract: Some respondents make careless responses due to the ‘‘satisficing,’’ which is an attempt to complete a questionnaire as quickly and easily as possible. To obtain results that reflect a fact, detecting satisficing and excluding the responses with satisficing from the analysis target..
Effective Heart Disease Prediction Using Hybrid Machine Learning Techniques
Aim: To apply machine learning techniques result in improving the accuracy in the prediction of cardiovascular disease.Abstract: Heart disease is one of the most significant problem is arising in the world today. Cardiovascu..
Evaluation based Approaches for Liver Disease Prediction using Machine Learning Algorithms
Aim: To apply machine learning techniques result in improving the accuracy in the liver disease prediction. Abstract: The life of humans living without liver tumors is one of the fun..
Face Detection and Recognition for Criminal Identification System
Aim: To detect and recognize the face and we can differentiate between citizen and criminals and further investigate whether the identified person is criminal or not.Abstract: Face recognition can be..
Fraud Detection in Banking Data by Machine Learning Technique
Aim: The aim is to leverage the power of machine learning to create efficient and accurate fraud detection systems that protect the interests of both financial institutions and their customers.Abstract: As technology advanced and e-commerce s..
Group-Based Skyline for Pareto Optimal Groups
Aim The main aim of this project is to study the problem of secure skyline queries over encrypted data. The skyline query is particularly important for multi-criteria decision making but also presents significant challenges due to its complex computations.Synopsis T..