Sweep interpolation: a cost-effective semi-Lagrangian scheme in the Global Environmental Multiscale model by M. Mortezazadeh, J.-F. Cossette, A. Dastoor, J. de Grandpré, I. Ivanova, A. Qaddouri

“…An analysis of the computational performance for a set of theoretical benchmarks as well as a global ozone forecast experiment show that up to 15 % reduction in total wall clock time is achieved. …”
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Computational capabilities of a multicellular reservoir computing system. by Vladimir Nikolić, Moriah Echlin, Boris Aguilar, Ilya Shmulevich

“…We also identified a number of biological properties that can affect the computational performance of these processing systems.…”
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PFLOTRAN-SIP: A PFLOTRAN Module for Simulating Spectral-Induced Polarization of Electrical Impedance Data by Bulbul Ahmmed, Maruti Kumar Mudunuru, Satish Karra, Scott C. James, Hari Viswanathan, John A. Dunbar

“…Specifically, this framework couples the subsurface flow and transport simulator PFLOTRAN and geoelectrical simulator E4D without sacrificing computational performance. PFLOTRAN solves the coupled flow and solute-transport process models in order to estimate solute concentrations, which were used in Archie’s model to compute bulk electrical conductivities at near-zero frequency. …”
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An improved two-stage label propagation algorithm based on LeaderRank by Miaomiao Liu, Jinyun Yang, Jingfeng Guo, Jing Chen, Yongsheng Zhang

“…In addition, the proposed algorithm always performs well in nine large-scale artificial data sets with 6,000 to 50,000 nodes and three large realistic network datasets, which verifies its computational performance and utility in community detection for large-scale networks.…”
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A framework for optimal rank identification of resource management systems using probabilistic approaches in analytic hierarchy process by Ravi Gorripati, Mainak Thakur, Nagesh Kolagani

“…Stochastically similar assessments within the range of these samples are then generated using different distribution functions to compute the performance of the RWH structures. The computed performance correlated well with common stakeholders' (CSH) opinions in the case study involving 10 existing RWH structures with seven different criteria, for all the distributions. …”
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sMRI-PatchNet: A Novel Efficient Explainable Patch-Based Deep Learning Network for Alzheimer’s Disease Diagnosis With Structural MRI by Xin Zhang, Liangxiu Han, Lianghao Han, Haoming Chen, Darren Dancey, Daoqiang Zhang

“…The experimental evaluation shows that the proposed method can identify discriminative pathological locations effectively with a significant reduction on patch numbers used, providing better performance in terms of accuracy, computing performance, and generalizability, in contrast to the state-of-the-art methods.…”
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HETEROGENIOUS BLOCKED ALL-PAIRS SHORTEST PATHS ALGORITHM by A. A. Prihozhy, O. N. Karasik

“…The main emphasis is on using the nature of the heterogeneity, the interaction of blocks during computation and the variation in block size, the size of the block matrix and the total number of blocks in order to identify the possibility of reducing the amount of computation performed during the calculation of the block, reducing the activity of the processor’s cache memory and determining the influence of the calculation time of each block type on the total execution time of the heterogeneous block algorithm. …”
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An HPC Pipeline for Calcium Quantification of Aortic Root From Contrast-Enhanced CCT Scans by Giada Minghini, Armando Ugo Cavallo, Andrea Miola, Valentina Sisini, Enrico Calore, Francesca Fortini, Rino Micheloni, Paola Rizzo, Sebastiano Fabio Schifano, Francesco Vieceli Dalla Sega, Cristian Zambelli

“…Running on a 4X NVIDIA-V100 and an 8X NVIDIA-A100 GPU systems, we achieve a remarkable inference throughput of 17 and 70 CCT/sec respectively, and a linear scaling of computing performance. Our contribution provides an HPC system suitable for hospital premises installation and is able to aid radiologists in assessing the calcification level of patients undergoing the TAVI, making this process automated, fast and more reliable.…”
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Computation Rate Maximization for Wireless-Powered Edge Computing With Multi-User Cooperation by Yang Li, Xing Zhang, Bo Lei, Qianying Zhao, Min Wei, Zheyan Qu, Wenbo Wang

“…In particular, we propose a novel multi-user cooperation scheme to improve computation performance, where collaborative clusters are dynamically formed. …”
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Fruit Detection and Segmentation for Apple Harvesting Using Visual Sensor in Orchards by Hanwen Kang, Chao Chen

“…To improve the real-time computation performance of the network model, a lightweight backbone network based on the residual network architecture is developed. …”
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Intelligent reflecting surface-assisted federated learning in multi-platoon collaborative networks by Xiaoting Ma, Junhui Zhao, Jieyu Liao, Ziyang Zhang

“…The scheduling scheme based on learning reliability balances the communication performance and computing performance of platoons.…”
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Distinct dendritic Ca2+ spike forms produce opposing input-output transformations in rat CA3 pyramidal cells by Ádám Magó, Noémi Kis, Balázs Lükő, Judit K Makara

“…The uncovered variability of dendritic Ca2+ spikes may underlie heterogeneous input-output transformation and bursting properties of CA3PCs, and might specifically contribute to key associative and non-associative computations performed by the CA3 network.…”
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Granular Content Distribution for IoT Remote Sensing Data Supporting Privacy Preservation by Xiaoshuai Zhang, Guangyuan Zhang, Xingru Huang, Stefan Poslad

“…Many general solutions rely on granular access control for content distribution but do not consider the low computational efficiency caused by the huge file size of the remote sensing data or certain IoT devices only have a constrained computational performance. Therefore, we propose a new granular content distribution scheme, which is more lightweight and practical for the distribution of multimedia remote sensing data with the consideration of the large data size to avoid complicated operations to the data. …”
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A Deep-Learning-Based GPS Signal Spoofing Detection Method for Small UAVs by Yichen Sun, Mingxin Yu, Luyang Wang, Tianfang Li, Mingli Dong

“…To minimize randomness and chance in the simulation experiments, we used the 10-fold cross-validation method to train and evaluate the computational performance of our spoofing machine learning model. …”
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MeSmart-Pro: Advanced Processing at the Edge for Smart Urban Monitoring and Reconfigurable Services by Antonino Galletta, Armando Ruggeri, Maria Fazio, Gianluca Dini, Massimo Villari

“…From experimental results, it results that computing performance at the Edge overtakes the performance of a device specifically designed for vehicle counting under certain conditions and thanks to our reconfigurable functions.…”
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Multi-Level Decision Support System in Production and Safety Management by Alessandro Massaro

“…An Artificial Neural Network (ANN) MultilaLayer Perceptron (MLP) algorithm is adopted for the risk prediction by achieving the good computational performance of Mean Absolute Error (MAE) of 0.001. …”
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About revising the computational dynamic scheme of an unmanned aerial vehicle based on the results of ground-based modal test operations in the aeroelasticity problems by S. G. Parafes’

“…However, the similar computations, performed even with the use of modern finite-element software systems, do not give sufficiently precise values of the parameters of the UAV design elastic-mass schematization. …”
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Load Classification: A Case Study for Applying Neural Networks in Hyper-Constrained Embedded Devices by Andrea Agiollo, Andrea Omicini

“…The presented case study is tested on a simple microcontroller, characterised by very poor computational performances—i.e., FLOPS –, to mirror faithfully the design process of low-end appliances. …”
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HORAYZON v1.2: an efficient and flexible ray-tracing algorithm to compute horizon and sky view factor by C. R. Steger, B. Steger, C. Schär

“…We compare the computational performance and accuracy of the new horizon algorithm with two reference methods from the literature and illustrate its benefits. …”
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DFAulted: Analyzing and Exploiting CPU Software Faults Caused by FPGA-Driven Undervolting Attacks by Dina G. Mahmoud, David Dervishi, Samah Hussein, Vincent Lenders, Mirjana Stojilovic

“…We show that circuits in the FPGA fabric, controlled by an attacker, can create a significant supply voltage drop which, in turn, faults the software computation performed by the CPU or even causes a denial-of-service attack. …”
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