Data-Driven Approach for Upper Limb Fatigue Estimation Based on Wearable Sensors by Sophia Otálora, Marcelo E. V. Segatto, Maxwell E. Monteiro, Marcela Múnera, Camilo A. R. Díaz, Carlos A. Cifuentes

“…This article proposes a computational model for estimating muscle fatigue using wearable and non-invasive devices, such as Optical Fiber Sensors (OFSs) and Inertial Measurement Units (IMUs) along the subjective Borg scale. …”
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Spike-Train Level Direct Feedback Alignment: Sidestepping Backpropagation for On-Chip Training of Spiking Neural Nets by Jeongjun Lee, Renqian Zhang, Wenrui Zhang, Yu Liu, Peng Li

“…Spiking neural networks (SNNs) present a promising computing model and enable bio-plausible information processing and event-driven based ultra-low power neuromorphic hardware. …”
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Development of an ANN-Based Closed-Form Equation for the Prediction of Airblast Overpressure Induced by Construction Rock Excavation Blasting in Urban Areas by Nafiu Olanrewaju Ogunsola, Chanhwi Shin, Young-Keun Kim, Abiodun Ismail Lawal, Sangho Cho

“…To appraise the predictive accuracy of the developed soft computing models, multilinear regression (MLR) and a generalized empirical predictor were developed for comparison. …”
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Pan-Genomics of <i>Escherichia albertii</i> for Antibiotic Resistance Profiling in Different Genome Fractions and Natural Product Mediated Intervention: In Silico Approach by Khurshid Jalal, Kanwal Khan, Ajmal Hayat, Sulaiman Mohammed Alnasser, Alotaibi Meshal, Zarrin Basharat

“…Finally, ZipA, an essential cell division protein that stabilizes the FtsZ protofilaments by cross-linking them and serves as a cytoplasmic membrane anchor for the Z ring, was selected for further downstream processing. It was computationally modeled using a threading approach, followed by virtual screening of two phytochemical libraries, Ayurvedic (n = 2103 compounds) and Traditional Chinese Medicine (n = 36,043 compounds). …”
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Advanced Hybrid Metaheuristic Machine Learning Models Application for Reference Crop Evapotranspiration Prediction by Rana Muhammad Adnan Ikram, Reham R. Mostafa, Zhihuan Chen, Abu Reza Md. Towfiqul Islam, Ozgur Kisi, Alban Kuriqi, Mohammad Zounemat-Kermani

“…The tested results revealed that the SVR-PSOGWO model outperformed the other applied soft computing models in predicting ETo in all input combinations, followed by the SVR-PSOGSA, SVR-PSO, and SVR. …”
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A new integrated framework for the identification of potential virus–drug associations by Jia Qu, Zihao Song, Xiaolong Cheng, Zhibin Jiang, Jie Zhou

“…IntroductionWith the increasingly serious problem of antiviral drug resistance, drug repurposing offers a time-efficient and cost-effective way to find potential therapeutic agents for disease. Computational models have the ability to quickly predict potential reusable drug candidates to treat diseases.MethodsIn this study, two matrix decomposition-based methods, i.e., Matrix Decomposition with Heterogeneous Graph Inference (MDHGI) and Bounded Nuclear Norm Regularization (BNNR), were integrated to predict anti-viral drugs. …”
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Geological foundations for determination of anisotropic directions in geostatistical modeling on the example of Verkhnee orebody of the Mnogovershinnoe gold deposit by R. A. Skruybite, Sh. I. Fakhrutdinov

“…Three-dimensional computer modeling was performed in the Micromine min­ing and geological information system. …”
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RWHMDA: Random Walk on Hypergraph for Microbe-Disease Association Prediction by Ya-Wei Niu, Cun-Quan Qu, Cun-Quan Qu, Guang-Hui Wang, Guang-Hui Wang, Gui-Ying Yan

“…Owing to increasing availability of biological data, further studies on the establishment of efficient computational models for predicting potential associations are required. …”
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Performance Analysis of Indentation Punch on High Energy Lithium Pouch Cells and Simulated Model Improvement by Lihua Ye, Muhammad Muzamal Ashfaq, Aiping Shi, Syyed Adnan Raheel Shah, Yefan Shi

“…The overall conclusion found that the loading initiating the cell’s electrical short circuit is not instantaneously instigated and it is subsequently used to process the development of a precise and practical computational model that will reduce the chances of the internal short course during the crash.…”
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Evaluation of immune evasion in SARS-CoV-2 Delta and Omicron variants by Armi M. Chaudhari, Madhvi Joshi, Dinesh Kumar, Amrutlal Patel, Kiran Bharat Lokhande, Anandi Krishnan, Katja Hanack, Slawomir Filipek, Dorian Liepmann, Venkatesan Renugopalakrishnan, Ramasamy Paulmurugan, Chaitanya Joshi

“…Our study, based on in-silico computational modelling, simulations, and pseudovirus-based neutralization assay, highlighted and identified the probable mechanism through which the Delta and Omicron variants are more pathogenically evolved with higher transmissibility as compared to the wild-type strain.…”
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Numerical Investigation of Supersonic Flows on Innovative Nozzles (Dual Bell Nozzle) by H. Kbab, O. Abada, S. Haif

“…In this study, we will present a test case used to validate our computational models that will be used to optimize the profile of a dual bell nozzle. …”
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Three-dimensional CFD analysis of PEMFC with different membrane thicknesses by Mahmut Kaplan

“…In this paper, a three-dimensional, single-phase computational model has been improved to scrutinize membrane thickness effect on the PEM fuel cell performance using the ANSYS PEM Fuel Cell Module. …”
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Landslide Susceptibility Mapping: Machine and Ensemble Learning Based on Remote Sensing Big Data by Bahareh Kalantar, Naonori Ueda, Vahideh Saeidi, Kourosh Ahmadi, Alfian Abdul Halin, Farzin Shabani

“…Research into landslide susceptibility mapping (LSM) attempts to alleviate such catastrophes through the identification of landslide prone areas. Computational modelling techniques have been successful in related disaster scenarios, which motivate this work to explore such modelling for LSM. …”
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Numerical study of kerosene spray and combustion characteristics using an air-blast atomizer by I.A. Ibrahim, A.M. Elzallat, M.M. Elsakka, T.M. Farag, H.M. Gad

“…In this study, a computational model for a cylindrical combustor with an air-blast atomizer was created to investigate the effect of changing air to liquid mass ratio (ALR) on spray characteristics without combustion and the effect of changing ALR on combustion characteristics under different swirl numbers with constant kerosene fuel mass flow rate using computational fluid dynamics (CFD) code. …”
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Chemically reactive Maxwell nanoliquid flow by a stretching surface in the frames of Newtonian heating, nonlinear convection and radiative flux: Nanopolymer flow processing simulat... by Nasir Muhammad, Waqas Muhammad, Anwar Bég O., Basha D. Baba, Zamri N., Leonard H. J., Khan Ilyas

“…Dimensionless equations are used to create the flow model by utilizing the appropriate parameters. The computed models are presented through a convergent homotopic analysis method (HAM) approach with the help of Mathematica-12 symbolic software. …”
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Novel Models of Visual Topographic Map Alignment in the Superior Colliculus. by Ruben A Tikidji-Hamburyan, Tarek A El-Ghazawi, Jason W Triplett

“…To begin to address this gap, we developed two novel computational models of visual map alignment in the SC that incorporate distinct activity-dependent components. …”
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The Slump Flow of Cementitious Pastes: Simulation vs. Experiments by Mareike Thiedeitz, Thomas Kränkel, Deniz Kartal, Jithender J. Timothy

“…Understanding the transient properties of cementitious pastes is crucial for construction materials engineering. Computational modeling, particularly through Computational Fluid Dynamics (CFD), offers a promising avenue to enhance our understanding of these properties. …”
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Semi–Automatic Corpus Callosum Segmentation and 3D Visualization Using Active Contour Methods by Marcin Ciecholewski, Jan H. Spodnik

“…Accurate 3D computer models of the brain, and also of parts of its structure such as the corpus callosum (CC) are increasingly used in routine clinical diagnostics. …”
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Multifractal Analysis of the Brazilian Electricity Market by Alessandro L. Castro, Andre Luis Marques Marcato, Eduardo P. De Aguiar

“…Unlike traditional markets, pricing is not driven by market forces but rather determined by complex computational models known as Hydrothermal Dispatch Optimization Models. …”
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Spatial and Time Variable Long Term Infiltration Rates of Green Infrastructure under Extreme Climate Conditions, Drought and Highly Intensive Rainfall by Floris Cornelis Boogaard

“…If the unsaturated infiltration capacity is used as the design input for computer models, the infiltration capacity may be significantly overestimated. …”
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