Results 171 to 180 of about 324,017 (225)

A Comparative Evaluation of Powder Characteristics of Recycled Material from Bronze Grinding Chips for Additive Manufacturing. [PDF]

Materials (Basel)
Uhlmann E, Polte J, Fasselt JM, Müller V, Klötzer-Freese C, Kleba-Ehrhardt R, Biegler M, Rethmeier M.   +7 more
europepmc   +1 more source

Next‐Generation Seismic Performance Assessment Through Multi‐Component Ground Motion Compatible Intensifying Artificial Acceleration

Earthquake Engineering &Structural Dynamics, EarlyView.
ABSTRACT Despite the crucial need for fully quantitative risk assessment of large‐scale structures, their performance is typically assessed through deterministic or semi‐quantitative approaches. The main preventing factor is the computational burden of probabilistic seismic analyses.
M. Amin Hariri‐Ardebili, Giacomo Sevieri, Carlo Resta, Golsa Mahdavi, Anna De Falco, Siamak Sattar, Sissy Nikolaou   +6 more
wiley   +1 more source

A Zynq-Based Triaxial Vibration Sensing Station with GPS-Disciplined Timing. [PDF]

Sensors (Basel)
Zhang X, Wang Y, Zhang Q, Qi M, Zhang J, Zhang J, Liu X.   +6 more
europepmc   +1 more source

Physics‐Based Encoder‐Only Transformer for Structural Hysteresis Prediction and Dynamic Analysis

Earthquake Engineering &Structural Dynamics, EarlyView.
ABSTRACT Accurate modeling of structural hysteresis is a critical task for ensuring the safety of structures through reliable response predictions. However, conventional hysteresis models often struggle to represent diverse hysteresis characteristics observed in real‐world structures, as the manual selection of a model form may not assure validity and ...
Jongha Joo, Jaehwan Jeon, Junho Song
wiley   +1 more source

Ileosigmoid knotting in early pregnancy: a case report. [PDF]

Int J Surg Case Rep
Abdulmalik AM, Kasaye RT, Geleta MA, Yesuf KM, Boba BD.   +4 more
europepmc   +1 more source

Machine Learning Modeling of Drill Cuttings Transport Based on Computational Fluid Dynamics Simulation Data

Energy Science &Engineering, EarlyView.
Machine learning surrogates accurately predict drill cuttings transport from computational fluid dynamics data, with Reynolds number dominating system behavior. While tree‐based models excel in accuracy, Gaussian process regression provides physically consistent, smooth predictions essential for reliable drilling simulations.
Kathrin Skinder, Mostafa M. Abdelhafiz, Khizar Shahid, Gunther Brenner   +3 more
wiley   +1 more source

Dysregulated oligodendrocyte and myelin dynamics as an early pathological feature of neuropil degeneration in Alzheimer's disease: an ultrastructural study. [PDF]

Acta Neuropathol Commun
Erisir A, Maher EE, Anderson Z, Chawla S, Hanley L, Zhao A, Birisik K, Toklucu ES, Keskinoz EN.   +8 more
europepmc   +1 more source

Ambiguity‐Aware Receding‐Horizon Optimization of Wind‐Hybrid Energy Storage Systems Using Type‐3 Fuzzy Modeling for Multimarket Participation

Energy Science &Engineering, EarlyView.
A Type‐3 fuzzy ambiguity encoder converts rolling wind, price, reserve‐activation, and confidence features into central estimates and nested uncertainty bounds. These parameters are updated within a receding‐horizon MILP/MIQP that coordinates wind, battery, and supercapacitor capacity across day‐ahead and ancillary‐service markets.
Shurong Yan, Manwen Tian, Didar Yedilkhan, Nurkhat Zhakiyev, Aigul Adamova, Ardashir Mohammadzadeh   +5 more
wiley   +1 more source

An experimental evaluation of vibration patterns arising from vortex flow in mixed flow pumps a case study in Upper Egypt. [PDF]

Sci Rep
El-Gazzar DMS, Abo-Elnil AHI, Elsayed MEA.   +2 more
europepmc   +1 more source

Environmental Control for Edible Fungi Cultivation Based on Temporal Information and Deep Learning

Food Bioengineering, EarlyView.
ABSTRACT Currently, there are still prevalent issues in greenhouse environmental regulation, such as response lag, low control accuracy, and difficulty in coping with sudden environmental disturbances. To achieve high‐precision and dynamic control of the edible fungi cultivation environment, this study proposes an edible fungi environmental control ...
Xiangyan Wang, Shuangcheng Huang, Qingbo Lu, Xinyi Guo   +3 more
wiley   +1 more source