Quickening Data-Aware Conformance Checking through Temporal Algebras by Giacomo Bergami, Samuel Appleby, Graham Morgan

“…To effectively meet such demands, this paper offers KnoBAB, a novel business process management system for efficient Conformance Checking computations performed on top of a customised relational model. …”
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On efficient modelling of radical production in cavitation assisted reactors by Suat Canberk Ozan, Pascal Jan Muller, Jan Hendrik Cloete

“…Specific emphasis is placed on the prediction of the radical production rates during bubble collapse and the computational performance, with the aim of coupling the single bubble dynamics to flow models for reactor hydrodynamics. …”
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Investigating performance metrics for container-based HPC environments using x86 and OpenPOWER systems by Animesh Kuity, Sateesh K. Peddoju

“…Our experimental results achieve 0.13% less compute performance penalty at its peak performance on cHPCe compared to the BareMetal-based solution for x86 systems. …”
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A Hybrid Extreme Gradient Boosting and Long Short-Term Memory Algorithm for Cyber Threats Detection by Reham Amin, Ghada El-Taweel, Ahmed Fouad Ali, Mohamed Tahoun

“…A comparative analysis is conducted between the computational performance of six established evolutionary computation algorithms and the recently developed bio-inspired metaheuristic algorithm called Zebra Optimisation Algorithm. …”
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Application of the Hurricane-Based Optimization Algorithm to the Phase-Balancing Problem in Three-Phase Asymmetric Networks by Jose Luis Cruz-Reyes, Sergio Steven Salcedo-Marcelo, Oscar Danilo Montoya

“…In the slave stage, the load connection set provided by the master stage is applied with the backward/forward power flow method in its matricial form to determine the amount of grid power losses. The computational performance of the HOA was tested in three literature test feeders composed of 8, 25, and 37 nodes. …”
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Fast Solution of 3-D Eddy-Current Problems in Multiply Connected Domains by a, v-φ and t-φ Formulations With Multigrid-Based Algorithm for Cohomology Generation by Federico Moro, Artem Napov, Matti Pellikka, Jasmin Smajic, Lorenzo Codecasa

“…In this way the computational performance is improved compared to the classical <inline-formula> <tex-math notation="LaTeX">$A,V$ </tex-math></inline-formula>-<inline-formula> <tex-math notation="LaTeX">$A$ </tex-math></inline-formula> formulation typically implemented in finite element software for electromagnetic design.…”
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Enhancing accessibility for improved diagnosis with modified EfficientNetV2-S and cyclic learning rate strategy in women with disabilities and breast cancer by Moteeb Al Moteri, T. R. Mahesh, Arastu Thakur, V. Vinoth Kumar, Surbhi Bhatia Khan, Surbhi Bhatia Khan, Mohammed Alojail

“…Current models, despite their potential, encounter obstacles related to generalizability, computational performance, and managing datasets with imbalances. …”
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Simulation of ash dump embankment stability by Bessimbayeva О.  G. , Khmyrova E.  N. , Oleinikova E.  A. , Kasymzhanova A. E. 

“…According to the computations performed, the outer slopes of the embankment at the paths of wells No. 373-19, No. 381-19, characteristic of almost the entire length of the embankment, are stable for different combinations of loads.…”
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Transcranial LED therapy for cognitive dysfunction in chronic, mild traumatic brain injury: Two case reports by Naeser, Margaret A., Saltmarche, Anita, Krengel, Maxine H., Hamblin, Michael R., Knight, Jeffrey A.

“…After 2 months of weekly, transcranial LED treatments, increased to 3 hours on computer. Performs nightly home treatments (now, 5 years, age 72); if stops treating >2 weeks, regresses. …”
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Novel data-driven decentralized coordination model for electric vehicle aggregator and energy hub entities in multi-energy system using an improved multi-agent DRL approach by Zhang, Bin, Hu, Weihao, Cao, Di, Ghias, Amer M. Y. M., Chen, Zhe

“…Simulation results illustrate that the proposed method achieves similar results compared to the traditional model-based method with perfect knowledge of system models, and the computation performance is at least two orders of magnitudes shorter than the traditional method. …”
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Run Your 3D Object Detector on NVIDIA Jetson Platforms:A Benchmark Analysis by Chungjae Choe, Minjae Choe, Sungwook Jung

“…The Jetson series satisfies such requirements with a compact board size and suitable computational performance for autonomous navigation. However, a proper benchmark that analyzes the Jetson for a computationally expensive task, such as point cloud processing, has not yet been extensively studied. …”
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FedHealthFog: A federated learning-enabled approach towards healthcare analytics over fog computing platform by Subhranshu Sekhar Tripathy, Sujit Bebortta, Chiranji Lal Chowdhary, Tanmay Mukherjee, SeongKi Kim, Jana Shafi, Muhammad Fazal Ijaz

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Probabilistic Record Linkage (PRL) advances between Surveillance Data and HES datasets using the Expectation-Maximization (EM) algorithm by Nikolaos Panagiotopoulos, Mehdi Minaji, Richard Pebody

“…Splitting HES into single and multi-admissions is recommended for reasons related to computational performance and demographic differences of the underlying population. …”
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A Lightweight Powdery Mildew Disease Evaluation Model for Its In-Field Detection with Portable Instrumentation by Liang Gong, Chenrui Yu, Ke Lin, Chengliang Liu

“…In this study, the plant-leaf disease-area segmentation model was deliberately designed to make it meet the need for portability, such as deployment in a smartphone or a tablet with a constrained computational performance and memory size. First, we proposed a super-pixel clustering segmentation operation to preprocess the images to reduce the pixel-level computation. …”
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Research on the Lightweight Deployment Method of Integration of Training and Inference in Artificial Intelligence by Yangyang Zheng, Bin He, Tianling Li

“…Although GPUs offer high computing performance, their power consumption and cost are relatively high. …”
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Magnetic domain wall devices : from physics to system level application by Siddiqui, Saima Afroz.

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Examination of planning under uncertainty algorithms for cooperative unmanned aerial vehicles by Gandhi, Rikin Bharat, 1981-

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Models and algorithms for the optimization of traffic flows and emissions using dynamic routing and pricing by Abou Zeid, Maya, 1979-

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Focused active inference by Levine, Daniel S., Ph. D. Massachusetts Institute of Technology

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Specific synaptic input strengths determine the computational properties of excitation-inhibition integration in a sound localization circuit by Gjoni, E, Zenke, F, Bouhours, B, Schneggenburger, R

“…Thus, the specific connectivity and strength of unitary excitatory and inhibitory inputs to LSO neurons is optimized for the computations performed by these binaural neurons.…”