Results 171 to 180 of about 4,199,345 (361)

Biomedical Signal Acquisition Using Sensors under the Paradigm of Parallel Computing. [PDF]

Sensors (Basel), 2020
Moreno Escobar JJ, Morales Matamoros O, Tejeida Padilla R, Chanona Hernández L, Posadas Durán JPF, Pérez Martínez AK, Lina Reyes I, Quintana Espinosa H.   +7 more
europepmc   +1 more source

Evaluation of DEC`s GIGAswitch for distributed parallel computing

, 1993
H. Chen, J. Hutchins, Jim Brandt
openalex   +2 more sources

A dynamic load balancing system for parallel cluster computing [PDF]

, 1996
B.J. Overeinder, P.M.A. Sloot, R.N. Heederik, L.O. Hertzberger   +3 more
openalex   +1 more source

Comparative Wear and Friction Analysis of Sliding Surface Materials for Hydrostatic Bearing under Oil Supply Failure Conditions

Advanced Engineering Materials, EarlyView.
Hydrostatic bearings excel in high‐precision applications, but their performance hinges on a continuous external supply. This study evaluates various material combinations for sliding surfaces to mitigate damage during supply failures or misalignment and to discover the most effective materials identified for enhancing the reliability and efficiency of
Michal Michalec, Lukáš Daněk, Jan Foltýn, Petr Svoboda, Carsten Gachot, Martin Hartl, Ivan Křupka   +6 more
wiley   +1 more source

Realistic communication model for parallel computing on cluster [PDF]

, 1999
Anthony T.C. Tam, Cho‐Li Wang
openalex   +1 more source

Development of a Novel Processing Route for Dispersoid/Precipitation‐Strengthened High Conductive Copper Alloys by Using Metalized Nanoceramics in Additive Manufacturing

Advanced Engineering Materials, EarlyView.
This study explores a process chain to produce dispersoid‐strengthened CuCr1Zr for applications requiring high strength and conductivity. Using gas‐atomized powder and copper‐plated alumina nanoparticles, additive manufacturing is performed via powder bed based additive manufacturing with green and red lasers, followed by heat treatment.
Heinrich von Lintel, Abdelrahman Elsayed, Lukas Mielewczyk, Katja Eichmann, Julia Grothe, Ulrich Krupp, Avinash Hariharan, Katrin Jahns   +7 more
wiley   +1 more source

Visualizing parallel simulations in network computing environments [PDF]

, 1997
Christopher D. Carothers, Brad Topol, Richard M. Fujimoto, John Stasko, Vaidy Sunderam   +4 more
openalex   +1 more source

Static and Dynamic Behavior of Novel Y‐Shaped Sandwich Beams Subjected to Compressive Loadings: Integration of Supervised Learning and Experimentation

Advanced Engineering Materials, EarlyView.
In this study, the mechanical response of Y‐shaped core sandwich beams under compressive loading is investigated, using deep feed‐forward neural networks (DFNNs) for predictive modeling. The DFNN model accurately captures stress–strain behavior, influenced by design parameters and loading rates.
Ali Khalvandi, Saeed Kamarian, Mahdi Bodaghi, Saeed Saber‐Samandari, Jung‐il Song   +4 more
wiley   +1 more source

Pyntacle: a parallel computing-enabled framework for large-scale network biology analysis. [PDF]

Gigascience, 2020
Parca L, Truglio M, Biagini T, Castellana S, Petrizzelli F, Capocefalo D, Jordán F, Carella M, Mazza T.   +8 more
europepmc   +1 more source

Execution of compute-intensive applications into parallel machines [PDF]

, 1997
Catherine Houstis, Sarantos Kapidakis, Evangelos P. Markatos, Erol Gelenbe   +3 more
openalex   +1 more source