Ransomware Classification and Detection with Machine Learning Algorithms

5,500.00
Aim: Ā Ā Ā Ā Ā Ā Ā Ā  This study aims to improve the accuracy of Ransomware Classification and Detection with Machine Learning Algorithms Ransomware Classification,

Real-Time Plant Disease Dataset Development and Detection of Plant Disease Using Deep Learning

5,500.00
Aim: The primary aim of this project is to develop an advanced plant disease detection system that leverages state-of-the-art deep learning architectures, such as ResNet152V2 and EfficientNetV2B3, to achieve higher accuracy, scalability, and efficiency.

Recognition of Fish in Aqua Cage by Machine Learning with Image Enhancement

5,500.00
Aim: The aim of this project is to propose a system to automate the process of fish population monitoring in aquaculture environments by utilizing the YOLOv8 deep learning-based object detection model, combined with image enhancement techniques.

Research on Fire Smoke Detection Algorithm Based on Improved YOLOv8

5,500.00
To develop a real-time fire and smoke detection system using the latest YOLOv11 model, providing higher accuracy and faster response in complex environments.

Road Traffic Accident Risk Prediction and Key Factor Identification Framework Based on Explainable Deep Learning

5,500.00
Aim: The aim of this study is to develop a robust and accurate traffic accident risk prediction model by leveraging deep learning techniques such as CNN (Convolutional Neural Network), BiLSTM (Bi-directional Long Short-Term Memory), and GRU (Gated Recurrent Unit) models.

Rule-Based With Machine Learning IDS for DDoS Attack Detection in Cyber-Physical Production Systems (CPPS)

5,500.00

To enhance DDoS attack detection by implementing a machine learning system with hyperparameter optimization and advanced prediction techniques, utilizing the CICIDS dataset to achieve high classification accuracy and improve network security.

Selection of Best Machine Learning Model to Predict Delay in Passenger Airlines

5,500.00
Aim: The aim of this project is to develop a flight delay prediction system that uses a decision tree algorithm to predict delays based on historical data while providing real-time flight tracking and delay updates using Neo4j and live APIs.

Sentiment Analysis and Emotion Detection on Crypto currency Related Tweets Using GPT2 Model

5,500.00
Aim: Ā Ā Ā Ā Ā Ā Ā  The aim of this study is to enhance emotion analysis in the cryptocurrency market using a GPT-2 model,

Sentiment Analysis and Emotion Detection on Cryptocurrency Related Tweets Using Ensemble LSTM-GRU Model

5,500.00
Aim: Ā Ā Ā Ā Ā Ā Ā Ā Ā  The sentiment analysis for crypto currency-related tweets, Crypto currency market price prediction based on the analyzed sentiments with

Silent Alert: Advancing Women’s Security through Smart Sign Recognition and AI

5,500.00
Aim: To develop a real-time video-level-sign classification system that identifies rescue and emergency hand signs using BiLSTM, enabling automated alert messages to guardians via Twilio SMS.

Sleep Apnea Detection From Single-Lead ECG: A Comprehensive Analysis of Machine Learning and Deep Learning Algorithms

5,500.00
Aim: Ā Ā Ā Ā Ā Ā Ā Ā Ā  We proposed detecting Sleep Apnea Detection From Single-Lead ECG. The advancement of smart wearables technologies has provided a

Smart Attendance Monitoring System Using Face Recognition for People with Disabilities

5,500.00
Aim: Ā Ā Ā Ā Ā Ā Ā  The aim of the project is to develop an automated, real-time attendance system using face recognition technology to enhance accuracy, eliminate manual errors, and streamline attendance tracking in institutions.