Results 201 to 210 of about 598,870 (248)

Efficiency of Machine Learning Methods in Information Security Audit Tasks: A Comparative Analysis

Applied Research, Volume 5, Issue 5, October 2026.
Machine learning methods enable accurate identification of processor instruction architectures from byte‐frequency characteristics of executable files. Among the evaluated models, Linear SVC achieved the highest classification performance, demonstrating the potential of AI‐driven approaches for automated information security auditing and digital ...
Z. B. Mukhtarova, K. Е. Izrailov, A. T. Zharkimbekova, A. S. Baitulakov, D. Sagidullauly, А. A. Kyttybek   +5 more
wiley   +1 more source

FedLucra: Federated Learning With Loss‐Utility Controlled Robust Aggregation

Expert Systems, Volume 43, Issue 10, October 2026.
ABSTRACT Federated learning enables collaborative model training without centralizing private data. However, conventional aggregation strategies generally determine client contributions primarily according to local data volume and do not directly consider differences in local model performance. To address this limitation, we propose FedLucra, a modular
Emin Akpinar, Murat Taskiran, Bulent Bolat   +2 more
wiley   +1 more source

OCO‐3 Meets ECOSTRESS: Insights Into Ecosystem Diurnal Water‐Use Efficiency From Co‐Located Solar‐Induced Fluorescence and Thermal Observations

Geophysical Research Letters, Volume 53, Issue 18, 28 September 2026.
Abstract Terrestrial ecosystem regulation of carbon and water fluxes is critical for constraining climate–biosphere feedbacks but remains poorly quantified across space and time. Here, we evaluate whether co‐located observations from NASA's Orbiting Carbon Observatory‐3 (OCO‐3) and the ECOsystem Spaceborne Thermal Radiometer Experiment on Space Station
Zoe Amie Pierrat, Thomas P. Kurosu, Abhishek Chatterjee, Joshua B. Fisher, Maggie Johnson, Le Kuai, Kanishka Mallick, Nicholas Parazoo, Benjamin Wiebe, Kerry Cawse‐Nicholson   +9 more
wiley   +1 more source

Using Tower‐Based Observational Networks to Assess the Impact of COVID‐19 Lockdowns on Greenhouse Gas Emissions in Six North American Cities

Journal of Geophysical Research: Atmospheres, Volume 131, Issue 17, 16 September 2026.
Abstract The onset of the COVID‐19 pandemic in North America and the lockdowns that followed in March 2020 brought forth a rapid change to societal functions disrupting many aspects of normal life, including the greenhouse gas emissions associated with them.
Z. R. Barkley, K. J. Davis, N. L. Miles, S. Baray, F. Vogel, J. Kim, R. F. Weiss, J. C. Lin, K. R. Gurney, J. C. Turnbull, H. A. Young   +10 more
wiley   +1 more source

Privacy‐preserving multi‐agent systems for human‐centred inclusive healthcare AI

AI Magazine, Volume 47, Issue 3, Fall 2026.
ABSTRACT Healthcare environments present uniquely demanding constraints for the deployment of artificial intelligence (AI). Clinical decisions of significant consequence are rarely the product of a single isolated computation; rather, safe and effective patient care relies on the continuous collaboration of distributed entities, including clinicians ...
Mufti Mahmud, Noushath Shaffi, M Shamim Kaiser, M Arifur Rahman, M Mostafizur Rahman, Vimbi Viswan, Tamanna Sharmeen, Sweta Bhattacharya, Neelu Jyoti Ahuja, Ayse Ulgen, Imran Khan Niazi, Kanad Ray, Amir Hussain, David J Brown, Jason H. Moore   +14 more
wiley   +1 more source

AI‐Assisted IoT‐Enabled ECG Monitoring: Integrating Foundational and Generative AI Tools for Sustainable Smart Healthcare—Recent Trends

AI &Innovation, Volume 1, Issue 2, September 2026.
ABSTRACT The rapid evolution of the Internet of Things (IoT) has significantly advanced the field of electrocardiogram (ECG) monitoring, enabling real‐time, remote, and patient‐centric cardiac care. This paper presents a comprehensive survey of AI assisted IoT‐based ECG monitoring systems, focusing on the integration of emerging technologies such as ...
Amrita Choudhury, Kandarpa Kumar Sarma, Lachit Dutta   +2 more
wiley   +1 more source

Playing in the Dark: Invisible Chess as a Laboratory for Strategic AI

AI &Innovation, Volume 1, Issue 2, September 2026.
This paper shows that strategic AI evaluated on perfect‐information benchmarks can be brittle in real adversarial settings. By using invisible chess as a benchmark for hidden state and deception, it argues for stricter testing, human oversight, and more cautious governance of high‐stakes AI systems.
Paolo Ciancarini
wiley   +1 more source

Building Community Amidst the Institutional Whiteness of Graduate Study: Black Joy and Maroon Moves in an Academic Marronage

Australian Journal of Social Issues, Volume 61, Issue 3, Page 459-469, September 2026.
ABSTRACT This article reflects on the construction of a supportive community of Black Afro‐diasporic graduate students and their supervisors researching issues relating to race in the field of education in Australia. It draws on the concept of marronage—a term rooted in the fugitive act of becoming a maroon, where enslaved people enacted an escape in ...
Hellen Magoi, Casianus Gemoh, Denise Chapman, Edmund Hypolite, Simon Angok, Melanie Baak, Joel Windle   +6 more
wiley   +1 more source