16 citations
- Cisco Systems (United States)US2 papers
- Cardiff UniversityGB1 paper
- Cisco Systems (China)CN1 paper
- DELL (United States)US1 paper
- GIET UniversityIN1 paper
- Homi Bhabha National InstituteIN1 paper
- Ida Darwin hospitalGB1 paper
- National Institute of Science Education and ResearchIN1 paper
- University of CambridgeGB1 paper
- University of HoustonUS1 paper
6 papers
RISC-V and machine learning: a survey
Shriman Keshri, Apparna Singh, Chinmaya Kumar Palo +2
The intersection of open-source processor architectures and machine learning is driving the demand for customizable, efficient, and accessible hardware. This survey examines the st…
Blog Data Showdown: Machine Learning vs Neuro-Symbolic Models for Gender Classification
Natnael Tilahun Sinshaw, Mengmei He, Tadesse K. Bahiru +1
Text classification problems, such as gender classification from a blog, have been a well-matured research area that has been well studied using machine learning algorithms. It has…
Docker under Siege: Securing Containers in the Modern Era
Gogulakrishnan Thiyagarajan, Prabhudarshi Nayak
Containerization, driven by Docker, has transformed application development and deployment by enhancing efficiency and scalability. However, the rapid adoption of container technol…
The Hidden Dangers of Outdated Software: A Cyber Security Perspective
Gogulakrishnan Thiyagarajan, Vinay Bist, Prabhudarshi Nayak
Outdated software remains a potent and underappreciated menace in 2025's cybersecurity environment, exposing systems to a broad array of threats, including ransomware, data breache…
Tail-states induced semiconductor-toconductor like transition under sub-bandgap light excitation in the zinc-tin-oxide photothinfilm transistors
Soumen Dhara, Kham M. Niang, Andrew J. Flewitt +2
We report on a giant persistent photoconductivity (PPC) induced semiconductor-to-conductor like transition in zinc-tin-oxide (ZTO) photo-thinfilm transistors (TFT). The active ZTO…
A Light weight and Hybrid Deep Learning Model based Online Signature Verification
Chandra Sekhar V., Anoushka Doctor, Prerana Mukherjee +1
The augmented usage of deep learning-based models for various AI related problems are as a result of modern architectures of deeper length and the availability of voluminous interp…