An adversarial-resilient intrusion detection framework for internet of medical things (IoMT) using digital twin-enabled behavioral threat modeling and federated hybrid ensemble learning. [PDF]
Alkhattabi K +3 more
europepmc +1 more source
NaCl co‐doping effectively enhances the thermoelectric performance of p‐type Bi–Sb–Te (BST) alloys through simultaneous Na+ substitution at Sb sites and Cl− substitution at Te sites, inducing local lattice distortion and defect engineering. At low doping levels, carrier transport is optimized by tuning carrier concentration and suppressing antisite ...
Saurabh Thoravat +14 more
wiley +1 more source
Quantum adversarial machine learning: from classical adaptations to quantum-native methods. [PDF]
Razavi-Far R +8 more
europepmc +1 more source
Coal Mine Wastewater as a Secondary Resource: Advances in Treatment and Value Recovery Technologies
ABSTRACT Coal mine wastewater, which has historically been considered an environmental problem, is becoming more widely recognized as a secondary resource with substantial value recovery potential. Nevertheless, recent progress demonstrates that this wastewater could be converted into highly useful, industrially available pigments (like iron oxides) by
Mokgadi G. Rapeta +3 more
wiley +1 more source
The Human Intracerebral EEG Platform: A Cloud-Based Trusted Research Environment for Collaborative SEEG Research in Epilepsy and Neuroscience. [PDF]
Ciumas C +12 more
europepmc +1 more source
Pressure: reimagining the D‐Day forecast through machine learning
We reproduce the D‐Day forecasts, one of the most iconic and famous forecasts ever made and the subject of the new film ‘Pressure’ using a machine‐learning model, AIFS‐ENS. While James Stagg and the forecast teams would likely have been able to hugely benefit from the probabilistic information from these ensemble forecasts, our analysis highlights that
Andrew Charlton‐Perez +6 more
wiley +1 more source
RAGMail: a cloud-based retrieval-augmented framework for reducing hallucinations in LLM text generation. [PDF]
Sanyal P, Rathore K, Arjunan RV.
europepmc +1 more source
AI and Big Data in Consumer Behavior Analysis. ABSTRACT The rapid expansion of digital consumer data has challenged traditional approaches to understanding behavior in digital marketing. Existing reviews often focus on individual methods and give limited guidance on how analytical techniques compare or how they should be selected for specific marketing
Leonidas Theodorakopoulos +1 more
wiley +1 more source
Trustworthy AI-Powered Intrusion Detection for the Internet of Medical Things (IoMT): A Review. [PDF]
Islam J, Datta D, Akhter F.
europepmc +1 more source
Abstract Understanding the coastal zone of the Antarctic Ice Sheet (AIS), where it interacts with the Southern Ocean and warmer air masses, is crucial for predicting Antarctica's influence on the global climate and sea level. This region has multiple tipping mechanisms that could trigger large, rapid, and potentially irreversible changes in the AIS ...
Kenichi Matsuoka +79 more
wiley +1 more source

