Results 171 to 180 of about 120,272 (297)

Forecasting monthly fisheries prices: model comparison using data from Cornwall (UK) [PDF]

, 2006
Failler, Pierre, Floros, Christos
core  

Numerical Investigation of Bored Tunnelling Effects on Pile‐Supported Superstructures

International Journal for Numerical and Analytical Methods in Geomechanics, Volume 50, Issue 7, Page 3155-3173, May 2026.
ABSTRACT Tunnelling in urban environments can significantly affect existing buried structures such as pile foundations. However, the current understanding of how tunnelling‐induced ground movements influence the stability and serviceability of piles remains limited. This knowledge gap presents potential risks that must be addressed during tunnel design
Phatharaphong Yensri, Asaad Faramarzi, Nicole Metje, David N. Chapman   +3 more
wiley   +1 more source

Fuel-driven hybrid deep learning model for forecasting finger millet prices. [PDF]

Sci Rep
Chaitra B, Meena K.
europepmc   +1 more source

Machine Learning Meets Pharmacokinetics: A Comparative Analysis of Predictive Models for Plasma Concentration‐Time Profiles

CPT: Pharmacometrics &Systems Pharmacology, Volume 15, Issue 5, May 2026.
ABSTRACT Predicting pharmacokinetic (PK) profiles from molecular structures represents a significant advancement in pharmaceutical research with substantial implications for expediting drug discovery processes. We evaluated five approaches to systematically compare five distinct methodological frameworks for predicting rat plasma concentration‐time ...
Felix Jost, Clemens Giegerich, Christoph Grebner, Hans Matter, Henrik Cordes   +4 more
wiley   +1 more source

A Machine Learning-Based Model for Individualized Prediction of Vancomycin Concentration-Time Curves in ICU Patients. [PDF]

Pharmacol Res Perspect
Wang JY, Hu J, Chen Y, Li S, Peng JM, Dong R, Hu XY, Jiang W, Wang CY, Weng L, Du B, China Critical Care Clinical Trials Group (CCCCTG).   +11 more
europepmc   +1 more source

Application of Artificial Neural Network and the Monomolecular Model in Describing the Relationship Between Body Weight Gain and Metabolizable Energy Intake in Egg‐Type Pullets

Veterinary Medicine and Science, Volume 12, Issue 3, May 2026.
Energy utilization in egg‐type pullets is shaped by genetic diversity and body‐weight dynamics. A simple mechanistic model captured interpretable energy–growth relationships, while artificial neural networks improved predictive accuracy, highlighting complementary modelling approaches for understanding and predicting pullet energy dynamics.
Zahra Moradi Gharajeh, Hassan Darmani Kuhi, Navid Ghavi Hossein‐Zadeh   +2 more
wiley   +1 more source

When Does Directional Reflectance Matter? Evaluating BRDF Effects in Plant Canopy Light Simulations. [PDF]

Plants (Basel)
Balasus J, Wirth F, Herzog A, Khanh TQ.
europepmc   +1 more source

A Comprehensive Case Study of Wind Energy Production Forecasting in Türkiye Using Enhanced Attention BiLSTM

Wind Energy, Volume 29, Issue 5, May 2026.
ABSTRACT The global demand for electrical energy continues to rise steadily, with Türkiye experiencing particularly significant growth in energy consumption. To address this increasing demand sustainably, renewable energy sources (RES) have become the primary focus, with wind energy (WE) leading the transition.
Mehmet Çeçen, Marco Rivera, Mehmet Yavuz   +2 more
wiley   +1 more source

Validity of Galaxy Watch for Estimating Energy Expenditure During Intermittent Running: Cross-Sectional Study. [PDF]

JMIR Form Res
Ferreira ARP, Inoue A, Barbosa RLM, Hayek C, Reis M, Alcântara JA, Shigueoka AH, Dos Santos MR.   +7 more
europepmc   +1 more source

An Angler‐Friendly AI Pipeline for Self‐Reporting and Automatic Catch Analysis in Recreational Fisheries

Fish and Fisheries, Volume 27, Issue 3, Page 627-642, May 2026.
ABSTRACT Monitoring recreational fisheries is difficult: anglers are widely dispersed, gear and practices vary, and many species are involved, which leads to fragmented and scarce data. To address these issues, we developed an Artificial Intelligence (AI) pipeline that turns angler‐reported photos into standardised records of catch composition and ...
Marco Signaroli, Bernat Morro, Eugenio Cutolo, Ignacio A. Catalán, Inmaculada Riera, Antoni Mira, Clara Mecinas, Antoni M. Grau, Yolanda Gonzalez‐Cid, Josep Alós   +9 more
wiley   +1 more source