A Deep Learning Ensemble With Data Resampling for Credit Card Fraud Detection

5,500.00
Aim: People can use credit cards for online transactions as it provides an efficient and easy-to-use facility.Ā  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 and financial companies. The main aim is to detect fraudulent transactions using credit cards with the help of ML algorithms and deep learning algorithms.

A Machine Learning Framework for Early-Stage Detection of Autism Spectrum Disorders

5,500.00
Aim: To apply machine learning techniques result in improving the accuracy in the prediction of Autism Spectrum Disorder

A Modular Ice Cream Factory Dataset on Anomalies in Sensors to Support Machine Learning Research in Manufacturing Systems

5,500.00
Aim: Ā Ā Ā Ā Ā Ā Ā Ā Ā Ā  The aim of creating a modular ice cream factory dataset on anomalies in sensors to support machine learning

Clinically Applicable Machine Learning Approaches to Identify Attributes of Chronic Kidney Disease (CKD) for Use in Low-Cost Diagnostic Screening

5,500.00
Aim: Ā Ā Ā Ā Ā Ā Ā Ā Ā  To apply machine learning techniques result in improving the accuracy in the prediction of Chronic Kidney Disease. Abstract:

Comparative Analysis of Customer Loan Approval Prediction using Machine Learning Algorithms

5,500.00
Aim: Ā Ā Ā Ā Ā Ā Ā  To determine the customer loan approval system using machine learning algorithms. Abstract: Ā Ā Ā Ā Ā  Loan approval is a very

Comparative Analysis Study for Air Quality Prediction in Smart Cities Using Regression Techniques

5,500.00
Aim: To systematically compare and evaluate the performance of various regression techniques for Air Quality prediction in smart cities, aiming to identify the most effective model that can contribute to accurate and timely forecasting.

Data-Driven Early Diagnosis of Chronic Kidney Disease: Development and Evaluation of an Explainable AI Model

5,500.00
Aim: Ā Ā Ā Ā Ā  The primary aim of this research is to design, build, and rigorously evaluate an interpretable AI model for

Evasion Attacks and Defense Mechanisms for Machine Learning-Based Web Phishing Classifiers

5,500.00
The aim of this research is to develop an advanced phishing detection system that leverages a hybrid machine learning approach to analyse URLs effectively and accurately identify potential phishing attempts.

Phishing Detection System through Hybrid Machine Learning Based on URL

5,500.00
Aim: Ā Ā Ā Ā Ā Ā Ā Ā  The aim of this research is to develop an advanced phishing detection system that leverages a hybrid machine

Predictive Analysis of Network based Attacks by Hybrid Machine Learning Algorithms

5,500.00
To enhance DDoS attack detection by implementing a machine learning system with hyper-parameter optimization and advanced prediction techniques

Twitter Spam Detection Using Natural Language Processing by Encoder Decoder Model

5,500.00
Aim: Ā Ā Ā Ā Ā Ā Ā Ā Ā  To enhance the assigning accuracy of former methods in spam detection in Twitter using advanced methods. Synopsis: Ā Ā Ā Ā Ā Ā Ā Ā Ā