Results 141 to 150 of about 65,182 (261)

Mechanical Property Analysis and Calculation Method Modification of Steel-Reinforced High-Strength Concrete Columns. [PDF]

Materials (Basel), 2022
Sun W, Li S.
europepmc   +1 more source

Cell Segmentation Beyond 2D—A Review of the State‐of‐the‐Art

Advanced Intelligent Discovery, EarlyView.
Cell segmentation underpins many biological image analysis tasks, yet most deep learning methods remain limited to 2D despite the inherently 3D nature of cellular processes. This review surveys segmentation approaches beyond 2D, comparing 2.5D and fully 3D methods, analyzing 31 models and 32 volumetric datasets, and introducing a unified reference ...
Fabian Schmeisser, Haseeb Muhammad, Junaid Younas, Gillian Lovell, Bianca Migliori, Andreas Dengel, Sheraz Ahmed   +6 more
wiley   +1 more source

Machine learning approaches for forecasting compressive strength of high-strength concrete. [PDF]

Sci Rep
Shaaban M, Amin M, Selim S, Riad IM.
europepmc   +1 more source

Preparation of coal gangue ceramsite high-strength concrete and investigation of its physico-mechanical properties. [PDF]

Sci Rep, 2022
Guan H, Yu J, Umuhuza Kibugenza AS, Sun Q.   +3 more
europepmc   +1 more source

The Interoperability Challenge in DFT Workflows Across Implementations

Advanced Intelligent Discovery, EarlyView.
Interoperability and cross‐validation remain major challenges in the computational materials science. In this work, we introduce a common input/output standard that enables internal translation across multiple workflow managers—AiiDA, PerQueue, Pipeline Pilot, and SimStack—while producing results in a unified schema.
Simon K. Steensen, Tushar Singh Thakur, Manuel Dillenz, Johan M. Carlsson, Celso R. C. Rêgo, Eibar Flores, Hamidreza Hajiyani, Felix Hanke, Juan María García Lastra, Wolfgang Wenzel, Nicola Marzari, Tejs Vegge, Giovanni Pizzi, Ivano E. Castelli   +13 more
wiley   +1 more source

Modeling the mechanical properties of lightweight high-strength concrete incorporating supplementary cementitious materials using multi-expression programming and random forest. [PDF]

Sci Rep
Sheraz M, Abid M, Alam M, Javed MF, Alsharef M, Alluqmani AE, Jameel M, Ahmad F.   +7 more
europepmc   +1 more source

Influence of the composition of high-strength concrete and mortar on the compressive fatigue behaviour. [PDF]

Mater Struct, 2022
Oneschkow N, Timmermann T.
europepmc   +1 more source

An Autonomous Large Language Model‐Agent Framework for Transparent and Local Time Series Forecasting

Advanced Intelligent Discovery, EarlyView.
Architecture of the proposed large language model (LLM)‐based agent framework for autonomous time series forecasting in thermal power generation systems. The framework operates through a vertical pipeline initiated by natural language queries from users, which are processed by the LLM Agent Core powered by Llama.cpp and a ReAct loop with persistent ...
William Gouvêa Buratto, Gabriel Villarrubia Gonzalez, Ademir Nied, Laio Oriel Seman, Anne Carolina Rodrigues Klaar, Stefano Frizzo Stefenon   +5 more
wiley   +1 more source

Finite element analysis of flexural behavior in ultra-high-strength concrete beams with BFRP and hybrid BFRP-steel reinforcement. [PDF]

Sci Rep
Ali NM.
europepmc   +1 more source

Fatigue-Induced Damage in High-Strength Concrete Microstructure. [PDF]

Materials (Basel), 2021
Oneschkow N, Scheiden T, Hüpgen M, Rozanski C, Haist M.   +4 more
europepmc   +1 more source