Results 121 to 130 of about 60,295 (249)
CAAI Transactions on Intelligence Technology, EarlyView.ABSTRACT Intelligent and adaptive defence systems that can quickly thwart changing cyberthreats are becoming more and more necessary in the dynamic and data‐intensive Internet of things (IoT) environment. Using the NSL‐KDD benchmark dataset, this paper presents an improved anomaly detection system that combines an optimised sequential neural network ...
Seong‐O Shim +4 more
wiley +1 more source
Unsupervised Segmentation Method for Brain MRI Based on Fuzzy Techniques
مجلة النهرين للعلوم الهندسية, 2010 In the present research a novel spatially weighted Fuzzy C-Means (FCM) clustering algorithm for image thresholding is presented. The segmentation technique is for magnetic resonance (MR) images of the brain based on fuzzy algorithms for learning vector ...
Nasser N. Khamiss
doaj
CAAI Transactions on Intelligence Technology, EarlyView.ABSTRACT As a government‐regulated public service, traffic signal control (TSC) requires reliable and transparent decision‐making. However, existing deep reinforcement learning (DRL) methods, despite improvements in control accuracy, still lack explainability and generalisation, severely limiting their applicability in real‐world environments.
Hao Huang +8 more
wiley +1 more source
A Probability‐Aware AI Framework for Reliable Anti‐Jamming Communication
CAAI Transactions on Intelligence Technology, EarlyView.ABSTRACT Adversarial jamming attacks have increased on communication systems, causing distortion and threatening transmissions. Typical attacks rely on traditional, well‐defined cryptographic protocols and frequency‐hopping techniques. Nevertheless, these techniques become vulnerable when facing intelligent jammers.
Tawfeeq Shawly, Ahmed A. Alsheikhy
wiley +1 more source
Acta Crystallographica Section D, EarlyView.A Bayesian perspective on orientation estimation in cryo‐EM is presented, with the minimum mean‐square error estimator outperforming standard cross‐correlation‐based approaches, particularly under challenging low signal‐to‐noise conditions. We demonstrate that improved orientation estimation has a decisive impact on 3D reconstruction quality and ...
Sheng Xu +3 more
wiley +1 more source
Integrative Zoology, EarlyView.Research on mosquito feeding preferences and the malaria parasites they transmit is essential for understanding the interactions between hosts, vectors, and parasites. In this study, vertebrate hosts were identified in 72 mosquitoes. Most blood meals (58.7%) came from birds, representing 25 species, while 40.0% came from mammals (13 species), and 1.3 ...
Qin Zhang +8 more
wiley +1 more source
RecLVQ: Recurrent Learning Vector Quantization
ESANN 2021 proceedings, 2021 Jensun Ravichandran +2 more
openaire +1 more source
Old Skool Spinning and Syncing: Memory, Technologies, and Occupational Membership in a DJ Community
Journal of Management Studies, EarlyView.Abstract We show how technology and its temporal instantiations act as material‐relational mnemonic devices that provide temporal anchors for collective remembering in occupations and form the basis of what we call an 'occupational mnemonic community'.
Hamid Foroughi +2 more
wiley +1 more source
Artificial intelligence‐powered plant phenomics: Progress, challenges, and opportunities
The Plant Phenome Journal, Volume 9, Issue 1, December 2026.Abstract Artificial intelligence (AI), a key driver of the Fourth Industrial Revolution, is being rapidly integrated into plant phenomics to automate sensing, accelerate data analysis, and support decision‐making in phenomic prediction and genomic selection.
Xu Wang +12 more
wiley +1 more source