Python
A System Design With Deep Learning and IoT to Ensure Education Continuity for Post-COVID
Advanced Analysis of Learning-Based Spam Email Filtering Methods Based on Feature Distribution Differences of Dataset.
Advancing Fake News Detection: Hybrid Deep Learning With FastText and Explainable AI
Advancing Ovarian Cancer Diagnosis Through Deep Learning and Explainable AI: A Multiclassification Approach
Agricultural Loan Recommender System – A Machine Learning Approach
AI-Generated vs. Human Text: Introducing a New Dataset for Benchmarking and Analysis
Aim:
The aim of this project is to enhance the ability to distinguish between AI-generated and human-authored text by utilizing a fine-tuned BERT classifier. This approach emphasizes contextual understanding and deep language representation to outperform traditional machine learning systems in identifying AI-generated content.
An Approach to Control the PC with Hand Gesture Recognition using Computer Vision Technique
An Efficient and Generic Construction of Public Key Encryption with Equality Test Under the Random Oracle Model
An Improved Design for a Cloud Intrusion Detection System Using Hybrid Features Selection Approach With ML Classifier
An Integrated Multi-Task Model for Fake News Detection
ANALYSIS OF CHRONIC LIVER DISEASE DETECTION BY USING MACHINE LEARNING TECHNIQUES
