Results 161 to 170 of about 272,474 (290)
We consider the planning and scheduling problem of SAR constellations for the observation of the Earth. We define a simplified problem which only takes into account the most binding constraints of the real problem.
N. Bianchessi, G. Righini
core
This study shows that superalloys used in aircraft engine disks become much more prone to deformation at high temperatures if they have been strained during manufacturing. This effect increases with the level of prior strain but eventually reaches a limit.
Fabio Machado Alves da Fonseca +9 more
wiley +1 more source
SHARP: a hybrid metaheuristic approach for intelligent robotic path planning. [PDF]
Fakhouri H +7 more
europepmc +1 more source
Low‐voltage FIB‐SEM tomography combined with a image preprocessing pipeline improves phase contrast and enables reliable machine‐learning segmentation of conductive networks in lithium‐ion battery electrodes. Structural descriptors are extracted from segmented images, done semimanually and automated, and compared.
Lisa Beran +6 more
wiley +1 more source
Compositional Planning of Residential Outdoor Space in Courtyards
The aim of the article is to evaluate the solutions to residential outdoor territory planning for the 21st century residential area courtyards in Riga.
Īle, Una
core
Adapting Neurology Residency: A Case Study and Practical Guide for Accommodations for a Disabled Resident. [PDF]
Pisano TJ, Stein LA.
europepmc +1 more source
Precipitation Simulations of the O‐Phase in Ti2AlNb Alloys Processed by Laser Powder Bed Fusion
Simulated and experimental evolution of the O‐phase volume fraction during postprocessing of a Ti‐21Al‐25Nb (at.%) alloy processed by laser powder bed fusion. With results of sensitivity to input parameters from a thorough and quantified analysis, the interfacial energy matrix/precipitate is the most relevant input parameter for the simulation of the O‐
Silvana Tumminello +7 more
wiley +1 more source
Multi-strategy Sea Horse Optimization algorithm for UAV path planning. [PDF]
Seyyedabbasi A +3 more
europepmc +1 more source
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 +4 more
wiley +1 more source
Concrete multi-agent path planning enabling kinodynamically aggressive maneuvers. [PDF]
Okumura K +4 more
europepmc +1 more source

