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Mat-heurística para recuperação de malhas aéreas considerando aeronaves e passageiros

José Carlos Fontoura Guimarães, Nicolau Dionísio Fares Gualda • Transportes (2021)

O problema de recuperação da operação de companhia aérea impactada por uma interrupção envolve as malhas de aeronaves, de tripulantes e de passageiros. Modelos para resolvê-lo consideram uma ou mais dessas malhas, de forma integrada ou não....

DOAJ Open Access (DOAJ) DOI: 10.14295/transportes.v29i2.2166

Hamartin: An Endogenous Neuroprotective Molecule Induced by Hypoxic Preconditioning

Sijie Li, Sijie Li, Changhong Ren, Changhong Ren et al. • Frontiers in Genetics (2020)

Hypoxic/ischemic preconditioning (HPC/IPC) is an innate neuroprotective mechanism in which a number of endogenous molecules are known to be involved. Tuberous sclerosis complex 1 (TSC1), also known as hamartin, is thought to be one such mol...

DOAJ Open Access (DOAJ) DOI: 10.3389/fgene.2020.582368

cuDNN: Efficient Primitives for Deep Learning

Sharan Chetlur, Cliff Woolley, Philippe Vandermersch, Cohen, Jonathan et al. • arXiv (Cornell University) (2014)

We present a library of efficient implementations of deep learning primitives. Deep learning workloads are computationally intensive, and optimizing their kernels is difficult and time-consuming. As parallel architectures evolve, kernels mu...

OPENALEX Open Access DOI: https://doi.org/10.48550/arxiv.1410.0759

Cold storage of human precision-cut lung slices in TiProtec preserves cellular composition and transcriptional responses and enables on-demand mechanistic studies

M. Camila Melo-Narvaez, Fee Gölitz, Eshita Jain, Janine Gote-Schniering et al. • Respiratory Research (2025)

Abstract Background Human precision-cut lung slices (hPCLS) are a unique platform for functional, mechanistic, and drug discovery studies in the field of respiratory research. However, tissue availability, generation, and cultivation time r...

DOAJ Open Access (DOAJ) DOI: 10.1186/s12931-025-03132-w

Deep learning with COTS HPC systems

Adam Coates, Brody Huval, Tao Wang, David J. Wu et al. (2013)

Scaling up deep learning algorithms has been shown to lead to increased performance in benchmark tasks and to enable discovery of complex high-level features. Recent efforts to train extremely large networks (with over 1 billion parameters)...

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Machine Learning in Antenna Design: An Overview on Machine Learning Concept and Algorithms

Hilal M. El Misilmani, Tarek Naous • International Conference on High Performance Computing & Simulation (HPCS) (2019)

With the growth and wide variety of available data, advanced processing, and affordable data storage, machine learning is witnessing great attention in finding optimized solutions in various fields. Machine learning techniques are currently...

OPENALEX DOI: https://doi.org/10.1109/hpcs48598.2019.9188224