Results 131 to 140 of about 39,353 (268)

A Vision Language-Based Framework for Detecting Industrial Mechanical, Electrical, and Plumbing Assets Using Unlabelled Data. [PDF]

Sensors (Basel)
Kamali M, Atazadeh B, Rajabifard A, Chen Y, Javaherian Pour E.   +4 more
europepmc   +1 more source

Grounding the Ground of Politics

Anthropologica, 2021
openaire   +2 more sources

Modeling Dislocation Cutting of γ′ Precipitates in Ni‐Base Superalloys: Linking Atomistic and Dislocation Dynamics Simulations

Advanced Engineering Materials, EarlyView.
Dislocation cutting of γ′ precipitates in Ni‐based superalloys is investigated by linking atomistic simulations with discrete dislocation dynamics. The critical cutting stress is shown to be governed by the antiphase boundary energy, while line tension effects promote edge‐preferred cutting.
Frédéric Houllé, Siwen Gao, Marc Fivel, Anxin Ma, Daria Smirnova, Sriram Anand, Arun Prakash, Julien Guénolé, Alexander Hartmaier, Erik Bitzek   +9 more
wiley   +1 more source

Task-aware cross-modal refinement and liquid fusion for text-visual grounding. [PDF]

Front Artif Intell
Li Z, Wang C, Pang Y, Xin J, Zhang J, Sun Y.   +5 more
europepmc   +1 more source

Inverse Identification of Energy‐Dependent Laser Absorptivity in NiTi Laser Powder‐Bed Fusion via Calibrated Melt Pool Simulation

Advanced Engineering Materials, EarlyView.
A combined experimental–computational framework identifies energy‐dependent laser absorptivity for NiTi in laser powder‐bed fusion, applicable to conduction and transition modes. Single‐track experiments and thermofluid smoothed particle hydrodynamics simulations are coupled through inverse analysis of melt pool geometry.
Mohamadreza Afrasiabi, Hadi Moutablaleh, Ignatius A. Setiawan, Mehrshad Mehrpouya   +3 more
wiley   +1 more source

A high-performance, portable, field-deployable gas analyzer. [PDF]

HardwareX
McKinnon MB, Brady I.
europepmc   +1 more source

Machine Learning‐Supported Analysis for Predicting and Visualizing Nonlinear Relationships Between Material Properties in Electroplated Chromium Layers

Advanced Engineering Materials, EarlyView.
This study applies machine learning regression to predict chromium layer thickness in decorative trivalent chromium electroplating, using 441 experiments from laboratory‐scale (1L) and pilot‐scale (14L) setups. Tree‐based models, particularly CatBoost, outperformed linear regression by capturing nonlinear parameter interactions (R2$R^2$ up to 0.77 ...
Christoph Baumer, Christopher Mai, Luca Eisentraut, Andreas Bund, Ricardo Buettner   +4 more
wiley   +1 more source

Parenting practices in occupational justice lens in the post-genocide context: more than 31 years after a genocide against the Tutsi in Rwanda

Frontiers in Rehabilitation Sciences
Emmanuel Biracyaza, Emmanuel Biracyaza, Emmanuel Biracyaza, Samuel Habimana, Samuel Habimana   +4 more
doaj   +1 more source

Ocean stratification and tides control basal melting at the Ross Ice Shelf Grounding Zone. [PDF]

Sci Adv
Stevens CL, Stewart CL, Robinson NJ, Washam P, Horgan HJ, Lawrence JD, de Joux P, Schmidt BE, Hulbe CL, Dunbar GB.   +9 more
europepmc   +1 more source

Microstructure, Thermal Transport, and Dry‐Sliding Tribology of Powder‐Metallurgy Al7075 Composites Reinforced With Sol–Gel‐Derived ZnO–rGO Hybrid Nanoparticles

Advanced Engineering Materials, EarlyView.
Sol–gel‐derived ZnO–rGO hybrid nanoparticles enable Al7075 powder‐metallurgy composites to achieve concurrent gains in hardness and thermal conductivity while markedly lowering friction and wear. The hybrid architecture couples ZnO‐based load support with rGO‐assisted lamellar sliding and heat spreading, revealing a promising route toward lightweight ...
Bunyamin Aksakal, Cevher Kursat Macit, Merve Ayık, Hakan Tutumlu   +3 more
wiley   +1 more source