Results 51 to 60 of about 3,639,081 (358)

An improved EAE-DETR model for defect detection of server motherboard

Scientific Reports
This study addresses the challenges of missed and false detections in server motherboard defect identification, which arise from factors such as small target size, positional rotation deviations, and uneven scale distribution.
Jian Chi, Keming Zhang, Hongpu Zhang, Guowang Niu, Zhihao Zheng   +4 more
doaj   +1 more source

Multi-View Transformers for Structure-Aware HA–NA Drift Risk Scoring and Mutation Hotspot Mapping

Viruses
Seasonal influenza A evolves quickly through mutations in haemagglutinin (HA) and neuraminidase (NA), which can reduce vaccine match and lower protection.
Pankaj Agarwal, Sumendra Yogarayan, Md. Shohel Sayeed, Rupesh Kumar Tipu   +3 more
doaj   +1 more source

An integrative decision-making framework to guide policies on regulating ChatGPT usage [PDF]

PeerJ Computer Science
Generative artificial intelligence has created a moment in history where human beings have begin to closely interact with artificial intelligence (AI) tools, putting policymakers in a position to restrict or legislate such tools.
Umar Ali Bukar, Md Shohel Sayeed, Siti Fatimah Abdul Razak, Sumendra Yogarayan, Oluwatosin Ahmed Amodu   +4 more
doaj   +2 more sources

Assessing database and network threats in traditional and cloud computing [PDF]

, 2013
Cloud Computing is currently one of the most widely-spoken terms in IT. While it offers a range of technological and financial benefits, its wide acceptance by organizations is not yet wide spread.
Lourida, Katerina, Mouhtaropoulos, Antonis, Vakaloudis, Alex   +2 more
core  

Towards Defect Phase Diagrams: From Research Data Management to Automated Workflows

Advanced Engineering Materials, EarlyView.
A research data management infrastructure is presented for the systematic integration of heterogeneous experimental and simulation data required for defect phase diagrams. The approach combines openBIS with a companion application for large‐object storage, automated metadata extraction, provenance tracking and federated data access, thereby supporting ...
Khalil Rejiba, Sang‐Hyeok Lee, Christina Gasper, Martina Freund, Sandra Korte‐Kerzel, Ulrich Kerzel   +5 more
wiley   +1 more source

A parallel algorithm for network traffic anomaly detection based on Isolation Forest

International Journal of Distributed Sensor Networks, 2018
With the rapid development of large-scale complex networks and proliferation of various social network applications, the amount of network traffic data generated is increasing tremendously, and efficient anomaly detection on those massive network traffic
Xiaoling Tao, Yang Peng, Feng Zhao, Peichao Zhao, Yong Wang   +4 more
doaj   +1 more source

Towards an Applicability of Current Network Forensics for Cloud Networks: A SWOT Analysis

IEEE Access, 2016
In recent years, the migration of the computational workload to computational clouds has attracted intruders to target and exploit cloud networks internally and externally. The investigation of such hazardous network attacks in the cloud network requires
Suleman Khan, Abdullah Gani, Ainuddin Wahid Abdul Wahab, Salman Iqbal, Ahmed Abdelaziz, Omar Adil Mahdi, Abdelmuttlib Ibrahim Abdallaahmed, Muhammad Shiraz, Yusor Rafid Bahar Al-Mayouf, Ziar Khan, Kwangman Ko, Muhammad Khurram Khan, Victor Chang   +12 more
doaj   +1 more source

Surface Tension Measurement of Ti‐6Al‐4V by Falling Droplet Method in Oxygen‐Free Atmosphere

Advanced Engineering Materials, EarlyView.
In this article, the temperature‐dependent surface tension of free falling, oscillating Ti‐6Al‐4V droplets is investigated in both argon and monosilane doped, oxygen‐free atmosphere. Droplet temperature and oscillation are captured with one single high‐speed camera, and the surface tension is calculated with Rayleigh's formula.
Johannes May, Finn‐Lennard Janthur, Lena Kreie, Michael Müller, Sarah Seffer, Nick Schwarz, Jörg Hermsdorf, Thomas Hassel, Stefan Kaierle, Ludger Overmeyer   +9 more
wiley   +1 more source

A review of enhanced biosignature immunotherapy tools for predicting lung cancer immune phenotypes using deep learning

Discover Oncology
Cancer has increasingly been recognized as a genetic disease, influenced by lifestyle changes, dietary patterns, and environmental pollutants. Lung cancer remains one of the most lethal malignancies worldwide, necessitating precise diagnostic and ...
A. Sheryl Oliver, Md Shohel Sayeed, Siti Fatimah Abdul Razak   +2 more
doaj   +1 more source

Fog-Aware Hierarchical Autoencoder with Density-Based Clustering for AI-Driven Threat Detection in Smart Farming IoT Systems

Future Internet
Smart farming relies heavily on IoT automation and data-driven decision making, but this growing connectivity also increases exposure to cyberattacks.
Manikandan Thirumalaisamy, Sumendra Yogarayan, Md Shohel Sayeed, Siti Fatimah Abdul Razak, Ramesh Shunmugam   +4 more
doaj   +1 more source