An Effective Artificial Intelligence Approach for Slope Stability Evaluation by Mohammad Khajehzadeh, Mohd Raihan Taha, Suraparb Keawsawasvong, Hamidreza Mirzaei, Mohammadreza Jebeli

“…According to the obtained results, the ANN model with the RMSE value of 0.023 and the R value of 0.984 is a reliable, simple, and valid computational model for estimating the FOS and evaluating the slope stability under static and earthquake loads. …”
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Environmental optimization of warm mix asphalt (WMA) design with recycled concrete aggregates (RCA) inclusion through artificial intelligence (AI) techniques by Rodrigo Polo-Mendoza, Gilberto Martinez-Arguelles, Rita Peñabaena-Niebles

“…The second and third methods are computational models based on Artificial Intelligence (AI), i.e., Artificial Neural Networks (ANNs) and Genetic Algorithms (GAs), respectively. …”
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Numerical simulations and mathematical models in laser welding: a review based on physics and heat source models by M. Jiménez-Xamán, M. Hernández-Hernández, Rasikh Tariq, Saulo Landa-Damas, M. Rodríguez-Vázquez, A. Aranda-Arizmendi, P. Cruz-Alcantar

“…This is why it is now efficient to use computational modeling techniques as it allows us to analyze the behavior of laser welding during the process. …”
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Influence of Boundary Conditions on Numerical Homogenization of High Performance Concrete by Arkadiusz Denisiewicz, Mieczysław Kuczma, Krzysztof Kula, Tomasz Socha

“…We are concerned with the computational modelling and laboratory testing of high-performance concrete (HPC). …”
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SYSTEMS OF VIRTUAL LABORATORY WORKS ON BIOPHYSICS AS A MEANS OF IMPLEMENTING THE PRINCIPLE OF PROFESSIONAL ORIENTATION OF STUDENT TRAINING by Liudmyla P. Sukhovirska, Olha M. Lunhol, Oksana V. Zadorozhna

“…The article substantiates expediency and shows the possibility of computer modeling of laboratory works on medical and biological physics for students in the field of training 1201 «Medicine» in the study of the discipline «Medical and Biological Physics». …”
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371 Pre-Clinical Models of Penetrating Brain Injury: Study Protocol for a Systematic Review by Roy A. Poblete, Stan G. Louie, Gene Sung, Patrick D. Lyden

“…METHODS/STUDY POPULATION: Three electronic databases (PubMed, Embase, Web of Science) will be searched using keywords and controlled vocabulary related to animal models, computational models, simulations, and disease key words including traumatic brain injury and penetrating brain injury. …”
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Coupling and heterogeneity modulate pacemaking capability in healthy and diseased two-dimensional sinoatrial node tissue models. by Chiara Campana, Eugenio Ricci, Chiara Bartolucci, Stefano Severi, Eric A Sobie

“…In a multicellular computational model of a monolayer of either human or rabbit SAN cells, simulations revealed that heterogenous cells synchronize their discharge frequency into a unique beating rhythm across a wide range of heterogeneity and intercellular coupling values. …”
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Single-Element Dual-Interferometer for Precision Inertial Sensing by Yichao Yang, Kohei Yamamoto, Victor Huarcaya, Christoph Vorndamme, Daniel Penkert, Germán Fernández Barranco, Thomas S. Schwarze, Moritz Mehmet, Juan Jose Esteban Delgado, Jianjun Jia, Gerhard Heinzel, Miguel Dovale Álvarez

“…Using a combination of computer models and analytical methods we show that an inertial sensor with sub-picometer precision for frequencies above 10 mHz, in a package of a few cubic inches, seems feasible with our approach. …”
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Integration of exteroceptive and interoceptive information within the hippocampus: a computational study by Randa eKassab, Randa eKassab, Randa eKassab, Frederic eAlexandre, Frederic eAlexandre, Frederic eAlexandre

“…The hippocampal computational models, therefore, need to be updated to elaborate better interpretation of hippocampal-dependent behaviors. …”
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Communication Efficient Asynchronous ADMM for General Form Consensus Optimization by WANG Dong-xia, LEI Yong-mei, ZHANG Ze-yu

“…The distributed alternating direction method of multipliers(ADMM) is one of the most widely used methods for solving large-scale machine learning applications.However,most distributed ADMM algorithms are based on full model updates.With the increasing of system scale and data volume,the communication cost has become the bottleneck for the distributed ADMM when big data are involved.In order to reduce the communication cost in a distributed environment,a general form consensus asynchronous distributed alternating direction method of multipliers(GFC-ADADMM) is proposed in this paper.First,in the GFC-ADADMM,the associated model parameters rather than full model parameters are transmitted among nodes to reduce the transmission load,and the associated model parameters are filtered according to the characteristics of high-dimensional sparse data sets to further reduce the transmission load.Second,the GFC-ADMM is implemented by an asynchronous allreduce framework,which combines the advantage of the asynchronous communication protocol and the allreduce communication mode.Third,combining the advantages of the stale synchronous parallel(SSP) computing model,allreduce communication model,and hybrid programming model,the asynchronous allreduce framework and MPI/OpenMP hybrid programming model are adopted to implement the GFC-ADADMM,which improves calculation efficiency and communication efficiency of the algorithm.Finally,the sparse logistic regression problem is solved by the GFC-ADADMM.Evaluation with large-scale datasets shows that compared with state-of-the-art asynchronous distributed ADMM algorithms,the GFC-ADADMM can reduce the total running time by 15%-63%,and has higher accuracy in convergence.…”
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Сomputer Simulation of Critical Phenomena in Materials of Cyber Systems Elements by Hennady Shapovalov, Anatoly Kazakov, Gleb Ksendziuk

“…The spaces, in which the conditions of stable and unstable phases are satisfied, as well as areas of coexistence of several phases simultaneously, were determined on sections of phase diagrams. A computer modeling technique for the formation of critical spaces, based on the use of a differential topological approach in complex multicomponent systems, was used. …”
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Numerical Investigation into the Effects of a Viscous Fluid Seabed on Wave Scattering with a Fixed Rectangular Obstacle by Kuan-Yu Zheng, Chen-Wei Chang, I-Chi Chan

“…We study numerically the effects of a viscous fluid seabed on wave scattering with a solid obstacle of rectangular shape fixed at the free surface, on the seafloor, or internally within the water layer. The computational model is based on OpenFOAM and it is validated using existing analytical solutions for waves encountering an obstacle on a solid bed and available experimental data for waves propagating over a muddy seabed with no obstacles. …”
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Prediction of Wear Rate in Al/SiC Metal Matrix Composites Using a Neurosymbolic Artificial Intelligence (NSAI)-Based Algorithm by Akshansh Mishra, Vijaykumar S. Jatti

“…In a novel move for this field of research, the study introduces and applies neurosymbolic programming as a novel computational modeling approach. The performance of this cutting-edge methodology is compared to a traditional simple artificial neural network (ANN). …”
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Modeling of Water Generation from Air Using Anhydrous Salts by Shereen K. Sibie, Mohamed F. El-Amin, Shuyu Sun

“…By using a mathematical model to simulate water absorption, this study attempts to compare and model the results of the current computed model with the laboratory experimental results under static and dynamic relative humidities. …”
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Predict potential miRNA-disease associations based on bounded nuclear norm regularization by Yidong Rao, Minzhu Xie, Hao Wang

“…However, the current biological experiments to determine miRNA-disease associations are time consuming and expensive. Therefore, computational models to predict potential miRNA-disease associations are in urgent need. …”
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Linear and Nonlinear Performance Analysis of Hydrodynamic Journal Bearings with Different Geometries by Carlos Alberto Alves Viana, Diogo Stuani Alves, Tiago Henrique Machado

“…Therefore, this paper discusses the applicability of these linear/nonlinear approaches using a computational model of the rotating system, where the finite element method is used for rotor modelling and the finite volume method for bearing calculation. …”
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2D Monte Carlo Simulation of Cocrystal Formation Using Patchy Particles by Bogdan Ranguelov, Christo Nanev

“…Importantly, to mimic the molecular scale processes of cocrystal formation, we use 2D Monte Carlo simulations and a computational model with short-range attraction and a mixture of two types of patchy particles (PPs) monomers. …”
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Use of a 3D finite element model for post fumigation phosphine movement analysis by Plumier, Ben, Maier, Dirk E., Ren, Yonglin, Schramm, Matt

“…In order to achieve this, the venting and release of phosphine was studied on location in a well-sealed grain silo in Lake Grace, Western Australia, to serve as a set of data for verification of a computational model. This situation was then modeled using a 3D finite element model and compared to the real world results. …”
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Multimodal processing in face-to-face interactions: A bridging link between psycholinguistics and sensory neuroscience by Stefania Benetti, Stefania Benetti, Ambra Ferrari, Francesco Pavani, Francesco Pavani

“…Finally, we advocate a multimodal and multidisciplinary research approach, combining state-of-the-art imaging techniques, computational modelling and artificial intelligence for future empirical testing of our model.…”
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Experimental and Numerical Study on the Thermal Performance of a Water/Steam Cavity Receiver by Jinjia Wei, Jiabin Fang, Nan Tu

“…In order to study the relationship between thermal efficiency and mass flow rate, a computational model for evaluating the thermal performance of a cavity receiver was built and verified. …”
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