Results 1 to 10 of about 3,393 (217)
Journal of Open Research Software, 2021 BayesFactorFMRI is a tool developed with R and Python to allow neuroimaging researchers to conduct Bayesian second-level analysis and Bayesian meta-analysis of fMRI image data with multiprocessing.
Hyemin Han
exaly +3 more sources
<i>pygid</i>: a Python package for fast data reduction in grazing-incidence diffraction. [PDF]
J Appl CrystallogrA new Python package, pygid, enables fast batch processing of X‐ray scattering data, with a particular focus on grazing‐incidence geometries.Advances in X‐ray and neutron sources, as well as in area‐detector technologies, enable the recording of several terabytes of raw two‐dimensional detector data in a single experiment.
Abukaev A +8 more
europepmc +2 more sources
Unveil Fundamental Graph Properties for Neural Architecture Search. [PDF]
Adv Sci (Weinh)This paper proposes NASGraph, a graph‐based framework that represents neural architectures as graphs whose structural properties determine performance. By revealing structure–performance relationships, NASGraph enables efficient neural architecture search with significantly reduced computation.
Huang Z +4 more
europepmc +2 more sources
A Method to Explore the Best Mixed-Effects Model in a Data-Driven Manner with Multiprocessing: Applications in Public Health Research [PDF]
European Journal of Investigation in Health, Psychology and EducationIn the present study, I developed and tested an R module to explore the best models within the context of multilevel modeling in research in public health. The module that I developed, explore.models, compares all possible candidate models generated from
Hyemin Han
doaj +2 more sources
Mathematical Model for Optimization Problem of One Multiprocessing Computer System and Its Solution
Journal of Automation and Information Sciences, 2011 The mathematical model of task of the work optimization of multiprocessing computer system as Euclidian combinatorial optimization problem on vertex-located set is formed.
O.A. Yemets +2 more
exaly +3 more sources
Remote Sensing, 2022 Landslide susceptibility mapping (LSM) is an important element of landslide risk assessment, but the process often needs to span multiple platforms and the operation process is complex. This paper develops an efficient user-friendly toolbox including the
Wubiao Huang +8 more
doaj +1 more source
A Configurable Hierarchical Architecture for Parallel Dynamic Contingency Analysis on GPUs
IEEE Open Access Journal of Power and Energy, 2023 Dynamic contingency analysis (DCA) for modern power systems is fundamental to help researchers and operators look ahead of potential issues, arrange operational plans, and improve system stabilities.
Cong Wang +4 more
doaj +1 more source
JOIV: International Journal on Informatics Visualization, 2022 Data collection has become a necessity today, especially since many sources of data on the internet can be used for various needs. The main activity in data collection is collecting quality information that can be analyzed and used to support decisions ...
Irfan Darmawan +3 more
doaj +1 more source
A System Architecture of a Fusion System for Multiple LiDARs Image Processing
Applied Sciences, 2022 LiDAR sensors are extensively used in autonomous vehicles and their optimal use is a critical concern. In this paper, we propose an embedded software architecture for multiple LiDAR sensors, i.e., a fusion system that acts as an embedded system for ...
Minwoo Jung, Dae-Young Kim, Seokhoon Kim
doaj +1 more source
Evaluating Latency in Multiprocessing Embedded Systems for the Smart Grid
Energies, 2021 Smart grid endpoints need to use two environments within a processing system (PS), one with a Linux-type operating system (OS) using the Arm Cortex-A53 cores for management tasks, and the other with a standalone execution or a real-time OS using the Arm ...
Sara Alonso +4 more
doaj +1 more source