A5079148545- Blockchain Technology Applications and Security
- AI in cancer detection
- IoT and Edge/Fog Computing
- Impact of Technology on Adolescents
- Advanced Text Analysis Techniques
- Image Retrieval and Classification Techniques
- Cell Image Analysis Techniques
- Radiomics and Machine Learning in Medical Imaging
- Knowledge Management and Sharing
- Advanced Malware Detection Techniques
- Digital Media Forensic Detection
- Law, AI, and Intellectual Property
- Chaos-based Image/Signal Encryption
- FinTech, Crowdfunding, Digital Finance
- Face recognition and analysis
- Intellectual Property and Patents
- Network Security and Intrusion Detection
- Privacy, Security, and Data Protection
- Spam and Phishing Detection
- Digital Imaging for Blood Diseases
- Advanced Steganography and Watermarking Techniques
- Diverse Perspectives in Modern Studies
University of California, Riverside
2023-2024
Bangladesh University of Business and Technology
2021
Bangladesh University of Engineering and Technology
2020
Breast cancer, a significant threat to women's health, demands early detection. Automating histopathological image analysis offers promising solution enhance efficiency and accuracy in diagnosis. This study addresses the challenge of breast cancer classification by leveraging ResNet architecture, known for its depth skip connections. In this work, two distinct approaches were pursued, each driven unique motivations. The first approach aimed improve learning process through self-supervised...
How can we effectively model, analyze, and comprehend user interactions various attributes within a social media platform based on post-comment relationship? In this study, propose novel graph-based approach to model analyze relationship. We construct interaction graph from data it gain insights into community dynamics, behavior, content preferences. Our investigation reveals that while 56.05% of the active users are strongly connected community, only 0.8% them significantly contribute its...
How can we build a definitive capability for tracking C2 servers? Having large-scale continuously updating would be essential understanding the spatiotemporal behaviors of servers and, ultimately, helping contain botnet activities. Unfortunately, existing information from threat intelligence feeds and previous works is often limited to specific set families or short-term data collections. Responding this need, present C2Store, an initiative provide most comprehensive on servers. Our work...
Facial Recognition is a technique, based on machine learning technology that can recognize human being analyzing his facial profile, and applied in solving various types of realworld problems nowadays. In this paper, common real-world problem, finding missing person has been solved secure effective way with the help recognition technology. Although there exist few works proposed work unique respect to its security, design, feasibility. Impeding intruders participating processes giving...
Breast cancer is a prevalent and potentially life-threatening disease among women worldwide. The interpretation of histopathological images by pathologists, although crucial for early detection, labor-intensive task prone to errors. Consequently, there pressing need reliable automated methods aid in breast detection classification. In this research, our objective was effectively identify classify malignant benign using images. We pursued two approaches address challenge. Firstly, we employed...