Results 101 to 110 of about 329,930 (262)

CHORUS Deliverable 2.1: State of the Art on Multimedia Search Engines [PDF]

, 2007
Based on the information provided by European projects and national initiatives related to multimedia search as well as domains experts that participated in the CHORUS Think-thanks and workshops, this document reports on the state of the art related to ...
Boujemaa, Nozha, Compañó, Ramón, Dosch, Christoph, Geurts, Joost, Karlgren, Jussi, King, Paul, Kompatsiaris, Yiannis, Köhler, Joachim, Le Moine, Jean-Yves, Ortgies, Robert, Point, Jean-Charles, Rotenberg, Boris, Rudström, Åsa, Sebe, Nicu   +13 more
core   +1 more source

Extralevator Abdominoperineal Excision Improves Overall Survival Compared to Standard Abdominoperineal Excision: A Systematic Review and Meta‐Analysis

Annals of Gastroenterological Surgery, EarlyView.
This systematic review and meta‐analysis of 38 studies, encompassing over 5000 patients, compared extralevator abdominoperineal excision (ELAPE) with standard abdominoperineal excision (APE) in patients with advanced low rectal cancer. ELAPE was associated with significantly improved overall and disease‐free survival, reduced intraoperative perforation
Sarolta Beáta Kávási, Diana‐Elena Floria, Anett Rancz, Dániel Sándor Veres, Nándor Faluhelyi, Pál Miheller, Péter Hegyi, Szabolcs Ábrahám   +7 more
wiley   +1 more source

AI in chemical engineering: From promise to practice

AIChE Journal, EarlyView.
Abstract Artificial intelligence (AI) in chemical engineering has moved from promise to practice: physics‐aware (gray‐box) models are gaining traction, reinforcement learning complements model predictive control (MPC), and generative AI powers documentation, digitization, and safety workflows.
Jia Wei Chew, Ronnie Andersson, Thomas Bierweiler, Patrik Ryttestal, Torsten Wik   +4 more
wiley   +1 more source

The Role of the Medical Students’ Emotional Mood in Information Retrieval from the Web

Journal of Health Management & Informatics, 2018
Background: Online information retrieval is a process the result of which is influenced by the changes in the emotional moods of the user. It seems reasonable to include emotional aspects in developing information retrieval systems in order to optimize
Marzieh Yari Zanganeh, Nadjla Hariri, Fahimeh Babalhavaeji   +2 more
doaj  

Large Language Model in Materials Science: Roles, Challenges, and Strategic Outlook

Advanced Intelligent Discovery, EarlyView.
Large language models (LLMs) are reshaping materials science. Acting as Oracle, Surrogate, Quant, and Arbiter, they now extract knowledge, predict properties, gauge risk, and steer decisions within a traceable loop. Overcoming data heterogeneity, hallucinations, and poor interpretability demands domain‐adapted models, cross‐modal data standards, and ...
Jinglan Zhang, Xinyi Chen, Xu Ye, Yulin Yang, Bin Ai   +4 more
wiley   +1 more source

Utilizing mixed methods research in analyzing Iranian researchers’ informarion search behaviour in the Web and presenting current pattern

Iranian Journal of Information Processing & Management, 2015
Using mixed methods research design, the current study has analyzed Iranian researchers’ information searching behaviour on the Web.Then based on extracted concepts, the model of their information searching behavior was revealed. .
Maryam Asadi, Najla Hariri
doaj  

Semantic information retrieval for geoscience resources : results and analysis of an online questionnaire of current web search experiences [PDF]

, 2016
An online questionnaire “Semantic web searches for geoscience resources” was completed by 35 staff of British Geological Survey (BGS) between 28th July 2015 and 28th August 2015.
Nkisi-Orji, I.
core  

A Generalized Framework for Data‐Efficient and Extrapolative Materials Discovery for Gas Separation

Advanced Intelligent Discovery, EarlyView.
This study introduces an iterative supervised machine learning framework for metal‐organic framework (MOF) discovery. The approach identifies over 97% of the best performing candidates while using less than 10% of available data. It generalizes across diverse MOF databases and gas separation scenarios.
Varad Daoo, Jayant K. Singh
wiley   +1 more source

Tendencias en recuperación de información en la web

BiD: Textos Universitaris de Biblioteconomia i Documentació, 2011
Baeza-Yates, Ricardo
doaj   +1 more source

ChatCFD: A Large Language Model‐Driven Agent for End‐to‐End Computational Fluid Dynamics Automation with Structured Knowledge and Reasoning

Advanced Intelligent Discovery, EarlyView.
Chat computational fluid dynamics (CFD) introduces an large language model (LLM)‐driven agent that automates OpenFOAM simulations end‐to‐end, attaining 82.1% execution success and 68.12% physical fidelity across 315 benchmarks—far surpassing prior systems.
E Fan, Kang Hu, Zhuowen Wu, Jiangyang Ge, Jiawei Miao, Yuzhi Zhang, He Sun, Weizong Wang, Tianhan Zhang   +8 more
wiley   +1 more source