Results 21 to 30 of about 181 (99)

Exploring public perceptions of dementia on Twitter (X): a cross‐cultural analysis

Alzheimer's &Dementia, Volume 21, Issue 3, March 2025.
Abstract INTRODUCTION Twitter (X) is widely used to reflect individual perspectives. We wished to study social insight regarding dementia using this digital platform. METHODS We conducted a cross‐sectional study retrieving tweets containing “dementia” or “#dementia” and their Thai equivalents.
Saowaluk Srikajornlarp, Tassanee Lerksuthirat, Pattama Patpong, Boonsong Ongphiphadhanakul, Tanchanok Chattaris   +4 more
wiley   +1 more source

One schema to rule them all: How Schema.org models the world of search

Journal of the Association for Information Science and Technology, Volume 76, Issue 2, Page 460-523, February 2025.
Abstract Several industry‐specific metadata initiatives have historically facilitated structured data modeling for the web in domains such as commerce, publishing, social media, and so forth. The metadata vocabularies produced by these initiatives allow developers to “wrap” information on the web to provide machine‐readable signals for search engines ...
Andrew Iliadis, Amelia Acker, Wesley Stevens, Sezgi Başak Kavakli   +3 more
wiley   +1 more source

Advancements in Emotion Classification via Facial and Body Gesture Analysis: A Survey

Expert Systems, Volume 42, Issue 2, February 2025.
ABSTRACT Machine vision has had a substantial impact on human‐computer interaction and psychological research. The ability of robots to generate realistic facial expressions has been enhanced by advancements in artificial intelligence, neural networks, and deep learning, thereby nurturing more profound emotive connections between humans and machines ...
Anjali Diwan, Reshma Sunil, Parita Mer, Rajesh Mahadeva, Shashikant P. Patole   +4 more
wiley   +1 more source

Improving Teacher Training Through Emotion Recognition and Data Fusion

Expert Systems, Volume 42, Issue 2, February 2025.
ABSTRACT The quality of education hinges on the proficiency and training of educators. Due to the importance of teacher training, the innovative platform Teacher Moments creates simulated classroom scenarios. In this scenario‐based learning, confusion is an important indicator to detect users who struggle with the simulations.
Mariano Albaladejo‐González, Rubén Gaspar‐Marco, Félix Gómez Mármol, Justin Reich, José A. Ruipérez‐Valiente   +4 more
wiley   +1 more source

A Method of Extractive Text Summarization Using Document Semantic Graph With Node Ranking

International Journal of Intelligent Systems, Volume 2025, Issue 1, 2025.
With the rise of neural networks and pre‐trained models such as BERT, abstractive text summarization techniques have received widespread attention. Nevertheless, traditional extractive text summarization methods still hold substantial research value due to their low computational cost, interpretability, and robustness.
Zhenhao Li, Miao Liu, Wenbin Chen, Ligang Zheng, Richard Murray   +4 more
wiley   +1 more source

Deep Dive Into Music Videos: Hierarchical Emotion Recognition With Rich Audio and Visual Features

International Journal of Intelligent Systems, Volume 2025, Issue 1, 2025.
This study aimed to address the challenges of cultural diversity and limited labeled data for music emotion classification. We introduced a benchmark dataset for music videos, featuring hierarchical emotion labels ranging from coarse to fine levels.
Yagya Raj Pandeya, Ashim Gelal, Harish Chandra Bhandari, Priya Pandey, Gennaro Vessio   +4 more
wiley   +1 more source

Analyzing and Detecting Abnormal Behaviors of Drug Abuse and Addiction Users in School Environments Based on Deep Learning Approaches

International Journal of Intelligent Systems, Volume 2025, Issue 1, 2025.
Drug abuse and addiction problems are one of the most serious health, social, and psychological problems facing the world. Many international studies indicate that the start of drug abuse occurs mostly in adolescence, which is the period that young people spend in schools, institutes, and universities.
Salma Kammoun Jarraya, Marwa Masmoudi, Fahad Abdullah Alqurashi, Sultanah M. Alshammari, Alexander Hošovský   +4 more
wiley   +1 more source

Improving the Generalization and Robustness of Computer‐Generated Image Detection Based on Contrastive Learning

International Journal of Intelligent Systems, Volume 2025, Issue 1, 2025.
With the rapid development of image generation techniques, it becomes much more difficult to distinguish high‐quality computer‐generated (CG) images from photographic (PG) images, challenging the authenticity and credibility of digital images. Therefore, distinguishing CG images from PG images has become an important research problem in image forensics,
Yifang Chen, Weiwu Yin, Anwei Luo, Jianhua Yang, Jie Wang, Guang Hua   +5 more
wiley   +1 more source

Not So Fast: A New Catalog of Meteor Persistent Trains

Journal of Geophysical Research: Space Physics, Volume 129, Issue 7, July 2024.
Abstract This paper presents the results of a nearly 2‐year long campaign to detect and analyze meteor persistent trains (PTs)—self‐emitting phenomena which can linger up to an hour after their parent meteor. The modern understanding of PTs has been primarily developed from the Leonid storms at the turn of the century; our goal was to assess the ...
L. E. Cordonnier, K. S. Obenberger, J. M. Holmes, G. B. Taylor, D. Vida   +4 more
wiley   +1 more source

Vertrauensbasierte Empfehlungen in mehrschichtigen Netzwerken

, 2008
Bamberg, Univ., Diss., 2008 und Paris-Sud 11, Univ., Diss, 2008. - Zsfassung in dt. SpracheThe huge interest in social networking applications - Friendster.com, for example, has more than 40 million users - led to a considerable research interest in ...
Heß, Claudia
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