Results 191 to 200 of about 31,169 (266)

Artificial Intelligence Tools for Carbon Nanotube Research: Opportunities From Synthesis to Applications

Carbon and Hydrogen, Volume 28, Issue 3, Page 304-319, September 2026.
Artificial intelligence tools are reshaping carbon nanotube research by connecting synthesis, characterization, and application‐oriented design. This review outlines how supervised learning, deep learning, Bayesian optimization, and large language models accelerate data extraction, experiment planning, and structure–property discovery for carbon ...
Yanlong Zhao, Fei Wang, Qixuan Cai, Aike Xi, Kangkang Wang, Khaixien Leu, Rufan Zhang   +6 more
wiley   +1 more source

An effective AI infused demand forecasting application for automotive spare parts industry: a real case from Turkey. [PDF]

Sci Rep
Albayrak Ünal Ö, Erkayman B, Usanmaz B.   +2 more
europepmc   +1 more source

Safety soft sensor development for pilot‐scale ilmenite electric arc furnace using long short‐term memory‐based architecture

The Canadian Journal of Chemical Engineering, Volume 104, Issue 9, Page 4702-4718, September 2026.
Abstract Ilmenite electric arc furnaces (EAFs) are used for smelting titanium‐iron oxide ore at high temperatures generated by electrical arcs to produce titanium slag and pig iron. As these units are pushed to their limits, ensuring safe and reliable operation becomes challenging.
Antony Gareau‐Lajoie, Djogap F. Chrysler J., Daniel Rodrigues, Marie‐Ève Gosselin, Moncef Chioua   +4 more
wiley   +1 more source

LSTM-GRU hybrid model for multi-layer microclimate prediction in solar greenhouse. [PDF]

Sci Rep
Li B, Wang Z, Guo Y, Zhou X, Qiao B, Han L.   +5 more
europepmc   +1 more source

Point and Risk estImation Using an enSemble of Models for Nowcasting: PRISM‐Now

Journal of Forecasting, Volume 45, Issue 6, Page 2760-2784, September 2026.
ABSTRACT We propose PRISM‐Now, a novel ensemble forecasting system for near‐term GDP projection. Recognizing that relevant economic information evolves over time, we treat forecasts from multiple base models as draws from a mixture distribution of “good” and “bad” estimates, whose composition changes continuously and cannot be identified ex ante.
Beomseok Seo, Hyungbae Cho, Dongjae Lee
wiley   +1 more source

VGM-RNN

, 2019
openaire   +2 more sources

Neural Network Assisted Estimation for the Structural Nested Accelerated Failure Time Models. [PDF]

Stat Med
Chen Y, Ma T, Smith P, Saegusa T.
europepmc   +1 more source

A Context‐Aware Decision Support Framework for Scientific Experiment Configuration

Software: Practice and Experience, Volume 56, Issue 9, Page 1100-1119, September 2026.
ABSTRACT Introduction Defining an experimental configuration is a complex decision problem for early‐stage researchers, who must map goals, constraints, and requirements onto datasets, algorithms, and parameter settings that directly affect experimental outcomes.
Pouriya Miri, Vlado Stankovski, Kristina Veljković, Petar Kochovski   +3 more
wiley   +1 more source

Video-Based Arabic Sign Language Recognition with Mediapipe and Deep Learning Techniques. [PDF]

J Imaging
El-Rushaidat D, Almohammad N, Yeh R, Fayyad K.   +3 more
europepmc   +1 more source

Artificial Intelligence in Veterinary Neurology: Comparative Insights From Human Medicine and Cross‐Species Technology Transfer

Veterinary Medicine and Science, Volume 12, Issue 5, September 2026.
Overview of major artificial intelligence applications in veterinary neurology, including neuroimaging, seizure prediction, gait and pain assessment, and prognostic modeling. The figure also highlights cross‐species technology transfer and key challenges, such as limited data, lack of standardization, and ethical concerns.
Kianoush Saberi, Rosull Saadoon Abbood, Sarah F. Al‐Taie, Aseel Smerat, Abdullaev Makhmudjon Mukhamedovich, Maksudova Malika Khamdamjonovna, Mohammad Hedayatinia, Arash Zarei, Mehrdad Nourizadeh, Amir Arsalan Ghahari, Mehrdad Neshat Gharamaleki, Fatemeh Malekinejad, Reza Akhavan‐Sigari   +12 more
wiley   +1 more source