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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
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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
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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
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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
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Using genetic Algorithm in Task scheduling for Multiprocessing System [PDF]
Al-Rafidain Journal of Computer Sciences and Mathematics, 2007 In this work we use Genetic Algorithm for best section to implement many independent tasks on multiprocessor systems. The chromosome represented by numbers of integer value, every value represents one of the processors in the system, we use the simple ...
Asmaa Hammo, Ghosun Basheer, Muna Jawhar
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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
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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
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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
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System-on-chip single event effect hardening design and validation using proton irradiation
Nuclear Engineering and Technology, 2023 A multi-layer design is applied to mitigate single event effect (SEE) in a 28 nm System-on-Chip (SoC). It depends on asymmetric multiprocessing (AMP), redundancy and system watchdog.
Weitao Yang +4 more
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2011 6th International Conference on Malicious and Unwanted Software, 2011 Malware behavior detectors observe the behavior of suspected malware by emulating its execution or executing it in a sandbox or other restrictive, instrumented environment. This assumes that the process, or process family, being monitored will exhibit the targeted behavior if it contains malware.
Ramilli, Marco +2 more
openaire +2 more sources