Results 121 to 130 of about 17,724 (252)

Enhancing E‐Commerce Recommendations Through Review Summarization and Multi‐Embedding Feature Fusion

Expert Systems, Volume 43, Issue 9, September 2026.
ABSTRACT With the rapid growth of e‐commerce, recommender systems have become essential tools for alleviating information overload by providing users with personalized item suggestions that match their preferences. Traditional collaborative filtering approaches have shown strong performance, while they still suffer from data sparsity since they rely ...
Haebin Lim, Seonu Park, Qinglong Li, Xinzhe Li, Jaekyeong Kim   +4 more
wiley   +1 more source

A novel hybrid deep learning framework for customer churn prediction using RFM and embedding clustering. [PDF]

Sci Rep
Ibrahim S, Tawfik BS, Makhlouf MA, Hafiz B.   +3 more
europepmc   +1 more source

Simulations on a common crane (Grus grus) population model

, 2012
Citación completa: Alonso JA, Alonso JC, Martinez S, Bautista LM. 1991. Simulations on a common crane (Grus grus) population model. Proceedings of the IV International Crane Workshop in 1987 at Qiqihar, China. Pages: 277-283.
Alonso López, Javier A., Alonso López, Juan C., Martínez, Silvio, Bautista-Sopelana, Luis M.   +3 more
openaire   +1 more source

Artificial Intelligence in Climate and Sustainable Finance: A Blessing or a Curse?

Journal of Economic Surveys, Volume 40, Issue 4, Page 1854-1873, September 2026.
ABSTRACT While there are concerns regarding the sustainability of artificial intelligence (AI), it is a potential ally in the transition toward a greener future. It offers advanced tools for data analysis; risk modeling; and environmental, social, and governance (ESG) assessment.
Filippo di Pietro, Pilar Giráldez‐Puig, Pedro R. Palos‐Sánchez, Zbigniew Korzeb   +3 more
wiley   +1 more source

Accurate surgery time prediction (ASTP) strategy based on artificial intelligence techniques. [PDF]

Sci Rep
El-Balka RM, Rabie AH, Saleh AI, Sakr N.
europepmc   +1 more source

Grus grus

grulla común(Grus grus)(PE),
openaire   +1 more source

Time‐Varying Hydroclimatic and Oceanic Controls on Arctic Submarine Groundwater Discharge Inferred Using Explainable AI

Geophysical Research Letters, Volume 53, Issue 15, 16 August 2026.
Abstract Submarine groundwater discharge (SGD), an important component of coastal water and nutrient budgets, is challenging to monitor and predict in the Arctic given the remoteness and harsh conditions. Here, we used explainable artificial intelligence to quantify the time‐varying importance of hydroclimatic and oceanic drivers of SGD at an Arctic ...
Cansu Demir, Jesus D. Gomez‐Velez, Julia Guimond, James W. McClelland, Matthew A. Charette, M. Bayani Cardenas   +5 more
wiley   +1 more source

Development of an Artificial Intelligence Model to Predict Endotracheal Intubation in Critically Ill Patients in Real Time. [PDF]

J Clin Med
Moon DH, Kim M, Han SS, Kim TH, Kim D, Kim WJ, Lee SJ, Kim Y, Heo J, Choi HS, Heo Y.   +10 more
europepmc   +1 more source

Spatiotemporal Fusion for Stock Prediction via Hypergraph Attention Gated Recurrent Units. [PDF]

Entropy (Basel)
Cao X, Qian C, Huang H.
europepmc   +1 more source

Attention integrated deep learning models for interpretable multi-class IoT intrusion detection using SHAP. [PDF]

Front Artif Intell
Raman R, Kumar R, Edwin Raj B, Akre V.
europepmc   +1 more source