Python
Deep Learning
Interpretable Deep Learning Framework for Land Use and Land Cover Classification in Remote Sensing Using SHAP
Krushi Sahyog: Plant disease identification and Crop recommendation using Artificial Intelligence
LCDctCNN: Lung Cancer Diagnosis of CT scan Images Using CNN Based Model
LE-YOLO: Lightweight and Efficient Detection Model for Wind Turbine Blade Defects Based on Improved YOLO
Lung Nodule Detection in Medical Images Based on Improved YOLOv5
Python, Deep Learning, Generative AI, Projects, Artificial Intelligence, Deep Learning, Generative AI
Medical Chatbot
Multi-Fruit Classification and Grading Using a Same-Domain Transfer Learning Approach
Obfuscated Privacy Malware Classification Using Machine Learning and Deep Learning Techniques
Python, Cybersecurity, Deep Learning, Machine Learning, Artificial Intelligence, Cyber Security, Deep Learning, Machine Learning
Aim
The aim of this research is to develop an intelligent system capable of detecting and classifying obfuscated privacy malware into various categories and families. This system leverages machine learning and deep learning models trained on the CIC-MalMem-2022 dataset to improve accuracy and address the challenges posed by data imbalance and complex malware behaviour.
Object Detection Method Using Image and Number of Objects on Image as Label
To develop an object detection model using YOLOv8 to address the limitations of existing methods and improve detection accuracy, robustness, and efficiency. The aim is to design a system that reduces the dependency on extensive labelling while ensuring adaptability to unseen environments. The model will utilize YOLOv8’s capabilities to process data efficiently and deliver high-performance results for diverse applications in object detection.
Online Exam Proctoring System Based on Artificial Intelligence
Online Recruitment Fraud (ORF) Detection Using Deep Learning Approaches
