Results 51 to 60 of about 1,498 (112)
Engineering Reports, Volume 8, Issue 3, March 2026.Autonomous planetary rovers operate in GPS‐denied, low‐texture, crater‐rich environments where traditional SLAM‐based navigation systems suffer from localization drift and unreliable obstacle handling. To address these challenges, this work proposes a Space‐ROS–based autonomous navigation framework integrating ROS2 with the NAV2 stack, RTAB‐Map visual ...
Imnul Haque Ruman Talukder +5 more
wiley +1 more source
Food Science &Nutrition, Volume 14, Issue 3, March 2026.This study presents a deep learning framework for the automated authentication of 15 medicinal Apiaceae species using digital images of their mericarps. The pipeline integrates an augmentation module—incorporating rescaling, rotation, and flipping—to improve model generalization, followed by feature extraction using pre‐trained DenseNet121 as the core ...
Elyas Aryakia, Ersam Aryakia
wiley +1 more source
Integrating Uncertainty in the Semantic Web Stack
, 2018 The current Semantic Web Standards allow the existence of incomplete, invalid or more generally, uncertain data. This work introduces a framework to handle uncertainty in the Semantic Web : Uncertainty representation, reasoning over uncertain data, belief revision and propagation.
openaire +1 more source
Pharmacotherapy: The Journal of Human Pharmacology and Drug Therapy, Volume 46, Issue 3, March 2026.ABSTRACT Pregnant women and children have been underrepresented in clinical studies due to ethical concerns and perceived vulnerabilities. This resulted in a significant gap in knowledge regarding the safety and efficacy of medications for these populations.
Xiaofu Liu +32 more
wiley +1 more source
Sustainable Development, Volume 34, Issue S2, Page 182-203, March 2026.ABSTRACT The transition to affordable and clean energy sources is essential for creating a sustainable future. Green hydrogen, as an emerging energy carrier, has the potential to meet increasing energy demands while mitigating environmental impact and achieving SDG 7.
A. Telukdarie, K. Murulane, X. Maphisa
wiley +1 more source
Fail‐Controlled Classifiers: A Swiss‐Army Knife Toward Trustworthy Systems
Software: Practice and Experience, Volume 56, Issue 3, Page 239-259, March 2026.ABSTRACT Background Modern critical systems often require to take decisions and classify data and scenarios autonomously without having detrimental effects on people, infrastructures or the environment, ensuring desired dependability attributes. Researchers typically strive to craft classifiers with perfect accuracy, which should be always correct and ...
Fahad Ahmed Khokhar +4 more
wiley +1 more source
Identification of Missing Knowledge in MBSE System Models Using Graph‐Based Machine Learning
Systems Engineering, Volume 29, Issue 2, Page 133-149, March 2026.ABSTRACT The design and development of complex aerospace systems pose significant challenges due to their growing complexity. Iterative design processes, guided by formal specifications, strive to refine initially vague characteristics through multiple stages.
Esma Karagoz +2 more
wiley +1 more source
Trading Zones Between Thick and Thin: Anthropological Description as Scaffold or Mosaic
American Anthropologist, Volume 128, Issue 1, Page 159-170, March 2026.ABSTRACT Referring to the work of historian of science Peter Galison, I argue that anthropology requires thin description as an essential counterpart for thick description. Thin accounts provide the scaffolding within which thick descriptions sit. Galison uses the idea of a “trading zone” connecting different communities who, despite their differences (
David Zeitlyn
wiley +1 more source
British Journal of Educational Technology, Volume 57, Issue 2, Page 423-442, March 2026.Abstract As artificial intelligence (AI) reshapes the educational landscape, promoting AI literacy in secondary education has become increasingly important. Understanding how secondary students perceive AI, particularly the machine learning (ML) decision‐making process, is critical for equipping them to navigate an AI‐driven future.
Liu Dong +4 more
wiley +1 more source
Expert Systems, Volume 43, Issue 3, March 2026.ABSTRACT Zero‐day exploits remain challenging to detect because they often appear in unknown distributions of signatures and rules. The article entails a systematic review and cross‐sectional synthesis of four fundamental model families for identifying zero‐day intrusions, namely, convolutional neural networks (CNN), deep neural networks (DNN ...
Abdullah Al Siam +3 more
wiley +1 more source