Results 171 to 180 of about 9,834 (275)

GA‐ANN: An Efficient Hybrid Deep Learning Scheme for Network Intrusion Detection in IoT

SECURITY AND PRIVACY, Volume 9, Issue 4, July/August 2026.
ABSTRACT Intrusion detection systems (IDS) are critical to the security of the dynamic internet of things (IoT) environment. The integration of Artificial Intelligence (AI) into IDS has substantially improved network security. Particularly, deep learning techniques have shown strong potential in addressing IoT security challenges.
Naveed Ahmed, M. Siraj Rathore, Azhar Mahmood, Muhammad Daniyal, Md Asri Ngadi   +4 more
wiley   +1 more source

STELLAR‐CB: Synthetic Temporal LSTM for Livestock Activity Recognition—Cow Behaviour

Veterinary Medicine and Science, Volume 12, Issue 4, July 2026.
This study introduces a novel framework combining LSTM networks with SMOTE to address class imbalance in precision livestock farming. It improves the detection of rare behaviours in livestock, achieving state‐of‐the‐art performance while reducing computational overhead, offering a practical, breed‐agnostic solution for enhancing automated behaviour ...
Ghufran Ahmed, Rauf Ahmed Shams Malick, Ahmad Sami Al‐Shamayleh, Muhammad Adnan Ayub, Usama Antuley, Twaha Ahmed Minai, Muhammad Faisal Khan, Muhammad Faraz Hyder, Muhammad Mubashir Khan, Adnan Akhunzada   +9 more
wiley   +1 more source

Metric adaptation and relevance learning in learning vector quantization

, 2003
Villmann T, Hammer B. Metric adaptation and relevance learning in learning vector quantization. Osnabrücker Schriften zur Mathematik.
Hammer, Barbara ; https://orcid.org/, Villmann, T.   +1 more
core  

Newborns' Language Discrimination May Not Reflect Sensitivity to Speech Rhythm: Evidence From Computational Modeling

Developmental Science, Volume 29, Issue 4, July 2026.
ABSTRACT Human newborns are able to discriminate between certain languages but not others. This ability has long been attributed to sensitivity to rhythm—the temporal regularities in speech of different languages. Here, we demonstrate through a series of computational simulations that this discrimination behavior can be achieved using no temporal ...
Ruolan Leslie Famularo, Ali Aboelata, Thomas Schatz, Naomi H. Feldman   +3 more
wiley   +1 more source

From Language Identification to Topic Modelling: A Fully Integrated Pipeline for Multilingual Aspect‐Based Sentiment Analysis and Component‐Level Insights

Expert Systems, Volume 43, Issue 7, July 2026.
ABSTRACT The rapid expansion of multilingual digital platforms has made the accurate analysis of user‐generated content across different languages and cultural contexts increasingly essential. However, existing methods struggle to maintain consistent performance due to linguistic diversity, morphological complexity, and structural variations in text ...
Abdulkadir Şeker
wiley   +1 more source

Large‐Scale Moisture Circulation Index Related to Socioeconomic Drought and Its Subseasonal Forecast Skill in the Asian Monsoon Rainy Season

Journal of Geophysical Research: Atmospheres, Volume 131, Issue 11, 16 June 2026.
Abstract Socioeconomic drought, which occurs when water demand exceeds available supply and often leads to water withdrawal restrictions, affects water resource management. However, the relationship between large‐scale moisture circulation and the occurrence of socioeconomic drought has not been well understood. In this study, we focused on the Yoshino
Yuta Tamaki, Noriko N. Ishizaki
wiley   +1 more source

Analysis of Branching Mechanisms for Post‐Transition State Bifurcation Reactions Using Molecular Dynamics Simulations

International Journal of Quantum Chemistry, Volume 126, Issue 11, June 5, 2026.
Systematic molecular dynamics simulations on 18 intramolecular cycloadditions reveal two distinct post‐transition‐state bifurcation regimes—distinguished by the position of the valley–ridge transition (VRT) point along the reaction path—whose branching fractions are quantitatively predicted by a two‐parameter descriptor combining the VRT lateral offset
Keita Yamaki, Daichi Okamoto, Daiki Hayashi, Shoto Nakagawa, Hayato Matsubuchi, Yuki Sasaki, Toshiyuki Takayanagi, Tatsuhiro Murakami   +7 more
wiley   +1 more source

Learning decentralized goal-based vector-quantization

, 1997
This paper considers the following generalization of classical vector quantization: to (vector) quantize or, equivalently, to partition the domain of a given function such that each cell in the partition satisfies a given set of topological constraints ...
Gupta, Piyush, Borkar, Vivek S.
core  

A multi‐source fusion and dynamic verification framework for scientific knowledge graph construction: Methods, evaluation, and applications

AI Magazine, Volume 47, Issue 2, Summer 2026.
Abstract The exponential growth of scientific literature—over 2.5 million papers and 3.5 million patents annually—poses critical challenges for knowledge discovery. To address these, we propose SCIMKG (Scientific Knowledge Graph), a framework for constructing scientific knowledge graphs via multi‐source heterogeneous multi‐source.
Erxi Zhu, Yuan Hu
wiley   +1 more source

Inter‐Model Feature Fusion for Robust Low‐Resource Speech Recognition

Applied AI Letters, Volume 7, Issue 2, June 2026.
Our Self‐Supervised Feature Fusion (SSF‐FT) method enhances low‐resource speech recognition by adaptively combining features from self‐supervised models trained with Contrastive, Predictive, and Reconstruction objectives. This attention‐weighted ensemble delivers robust performance, particularly in acoustically challenging conditions, extending current
Ussen Kimanuka, Ciira wa Maina, Osman Büyük   +2 more
wiley   +1 more source