conformity
发表于 2025-3-28 14:42:40
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MAZE
发表于 2025-3-28 19:21:58
Maria Silvia Roman Azcona,Claudio Mussolino of Machine and Deep Learning techniques makes it possible to detect the Brain Tumors, in particular ACSA-Net major in terms of recognition rate. And the signature process proposed resists various frequency analysis attacks.
insolence
发表于 2025-3-28 23:02:58
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cinder
发表于 2025-3-29 06:54:10
Epistemic Justice in Mental Healthcareof the selective laser melting parameters: laser power, scanning speed, scanning strategy and layer thickness, was proposed to obtain samples, with maximum density and evaluate the effect of these parameters on the roughness and porosity of the part.
Nebulous
发表于 2025-3-29 11:07:15
Christopher Sanders,Kerry Newbrookew of the clustered entities to extract labels or tags even if there are missing entities or links in the integration of medical RDF datasets. Experiments on a benchmarking dataset give us promising results.
含铁
发表于 2025-3-29 13:41:22
https://doi.org/10.1007/978-981-97-8027-3 embedding and Recurrent Neural Networks (RNN), precisely on Long Short-Term Memory (LSTM) and Gated Recurrent Units (GRU) cells. We present also the DataSet used for training and testing our models, based on WikiSQL, and finally we show where we arrived in terms of accuracy.
Archipelago
发表于 2025-3-29 18:38:19
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越自我
发表于 2025-3-29 19:52:52
TRNSYS Simulation of a Solar Cooling System Under Oujda Climate, evacuated tube collector. The obtained results show that for a hot water tank, a collector area of 400 m. is enough to maintain the temperature at 6.67 °C, which is sufficient for cooling a room during summer conditions.
整理
发表于 2025-3-30 02:38:28
Optimization of the SLM Process by Printing a Test Tray in AlSi7Mg06,of the selective laser melting parameters: laser power, scanning speed, scanning strategy and layer thickness, was proposed to obtain samples, with maximum density and evaluate the effect of these parameters on the roughness and porosity of the part.
镀金
发表于 2025-3-30 07:19:33
Theme Identification for Linked Medical Data,ew of the clustered entities to extract labels or tags even if there are missing entities or links in the integration of medical RDF datasets. Experiments on a benchmarking dataset give us promising results.