Showing 1–12 of 108 results

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 Deep Learning-Based Efficient Firearms Monitoring Technique for Building Secure Smart Cities

5,500.00
Aim: Ā Ā Ā Ā Ā Ā Ā Ā Ā Ā  The aim of this study is to detect weapon by employing YOLO v8, focusing on better accuracy. Ā Abstract:

A Deep-Learning-Based Lightweight Model for Ship Localizations in SAR Images

5,500.00
Aim: To automate the detection of presence of ships and to classify the types of ships available in the given

A Lightweight Robust Deep Learning Model Gained High Accuracy in Classifying a Wide Range of Diabetic Retinopathy Images

5,500.00
Aim: Ā Ā Ā Ā Ā Ā Ā Ā  To detect and identify the Diabetic disease detection using Deep-Learning techniques. Abstract: Ā Ā Ā Ā Ā Ā Ā Ā Ā Ā  In the field of diabetic

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 Machine Learning-Based Classification and Prediction Technique for DDoS Attacks

5,500.00
Aim: Ā Ā Ā Ā Ā Ā Ā Ā Ā  We proposed a complete systematic approach to detect DDOS attack using machine learning algorithm.

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

A Novel Transformer Model With Multiple Instance Learning for Diabetic Retinopathy Classification

5,500.00
Aim: To design and implement an advanced diagnostic system for retinal disease classification, combining state-of-the-art feature extraction and classification models for superior accuracy.

A Pragmatic Approach of Heart and Liver Disease Prediction using Machine Learning Classifiers

5,500.00
Aim: To apply various machine learning algorithms to analyze medical data and predict the likelihood of heart and liver diseases, assisting healthcare professionals in making informed decisions for diagnosis and treatment.

A Rotational Libra R-CNN Method for Ship Detection

5,500.00
Aim: Ā  Ā  Ā Ā  Ā Ā  To automate the detection of presence of ships and to classify the types of ships

A System Design With Deep Learning and IoT to Ensure Education Continuity for Post-COVID

5,500.00
Aim: Ā Ā Ā Ā Ā Ā Ā Ā Ā  Ensure education continuity for post-covid it used to make a attendance for a student with face detection and

Agricultural Loan Recommender System – A Machine Learning Approach

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