Results 131 to 140 of about 16,369,324 (285)

TAMNet: Temporal and adaptive‐frequency network with MixStyle for cross‐region oil and fluid production forecasting

Deep Underground Science and Engineering, EarlyView.
This paper presents temporal and adaptive‐frequency network with MixStyle (TAMNet), a deep time‐series modeling framework for accurate and robust multi‐well oil productivity forecasting. TAMNet integrates transformer and long short‐term memory architectures to capture both short‐ and long‐term temporal dependencies, enhanced by a temporal gate unit ...
Chunxi Yang, Leifeng Meng, Qinghu Fan, Ziang Guo, Ting Bao, Pingdong Zhong, Fulin Luo   +6 more
wiley   +1 more source

Multi‐factor coupling effects in hydraulic fracturing of laminated shale: Experimental insights and physics‐informed neural network‐driven optimization

Deep Underground Science and Engineering, EarlyView.
This study establishes a multi‐factor coupling framework for predicting breakdown pressure in laminated shale by integrating experimental hydraulic fracturing tests, physics‐informed neural networks (PINNs), and Sobol sensitivity analysis. It reveals how differential stress, the bedding dip angle, and the injection rate interact to influence fracture ...
Tao Wang, Guoyao Xu, Liyuan Liu, Yao Zhang, Sitao Zhu, Hongyang Chu, Kaikai Zhao   +6 more
wiley   +1 more source

Beyond BMI: Unsupervised Machine Learning Clustering of Bioelectrical Impedance Phenotypes Is Associated With Weight‐Recovery Trajectories in Anorexia Nervosa

International Journal of Eating Disorders, EarlyView.
ABSTRACT Objective To identify data‐driven body composition phenotypes in patients with moderate‐to‐extreme anorexia nervosa (AN) using machine learning (ML) clustering of bioelectrical impedance analysis (BIA) parameters, and to test whether these phenotypes have specific psychopathological and childhood trauma profiles while correlating with early ...
Emanuele Cassioli, Gaia Maiolini, Eleonora D'Areglia, Livio Tarchi, Eleonora Rossi, Veronica Ceccarelli, Cristiano Dani, Luca Zompa, Chiara Ranieri, Enrico Lodovici, Anita Nannoni, Valdo Ricca, Giovanni Castellini   +12 more
wiley   +1 more source

Optimized fiducial marker placement using B-spline surface modeling and graph theory for Cyberknife stereotactic body radiotherapy for superficial tumors. [PDF]

Precis Radiat Oncol
Huang J, Xiong X, Chen C, Li Y, Wang R, Dai Z.   +5 more
europepmc   +1 more source

Reduced size of larvae and small fish linked to warming and reduced prey density

Ecography, EarlyView.
Body size is an integrative trait that has declined across many ecological assemblages in the last decades. Changes in body size of early life stages and small‐bodied fish are driven by complex interactions between size‐dependent mortality, and temperature‐ and food‐dependent growth, and can have consequences for recruitment to the adult stock and food
Max Lindmark, Malin Werner, Peter Thor, Federico Maioli, Eros Quesada, Valerio Bartolino, Philip Jacobson   +6 more
wiley   +1 more source

Study on Contact Characteristics of Aeronautical Floating Splines Considering Maneuvering Deformation. [PDF]

Materials (Basel)
Xu Y, Chen H, Zhang D, Hu G, Li H, Xiong K.   +5 more
europepmc   +1 more source

Assessing the accuracy and stability of variable importance in species distribution modelling algorithms through sample perturbations

Ecography, EarlyView.
Variable importance derived from species distribution modelling (SDM) is widely used to identify key environmental drivers of species distributions. However, the reliability of these inferences has rarely been systematically evaluated, particularly with respect to their sensitivity to individual occurrences.
He Wu, Zhaoning Wu, Yunzhi Liu, Wenfang Zhang, Jiechen Wang   +4 more
wiley   +1 more source

HUG-VAS: A Hierarchical NURBS-Based Generative Model for Aortic Geometry Synthesis and Controllable Editing. [PDF]

Comput Methods Appl Mech Eng
Du P, Xu M, Zhu X, Wang JX.
europepmc   +1 more source

Effects of Camber of S‐Series Airfoils on Aerodynamic Performance, Entropy Generation Rate, Irreversibility, and Second Law Efficiency of Horizontal Axis Wind Turbines

Energy Science &Engineering, EarlyView.
Due to the depletion of fossil fuels, enhancing wind turbine efficiency is crucial. Utilizing airfoils with high lift‐to‐drag ratios significantly improves power generation by optimizing aerodynamic parameters. Furthermore, entropy generation analysis serves as an effective method for design optimization by minimizing energy losses and exergy ...
Mitra Yadegari
wiley   +1 more source