Two-Dimensional Modelling and Validation of the Mass Flow in a Mixing Stirred Reactor by Daniela Kladeková, Renáta Oriňáková, Hans-Dieter Wiemhöfer, Annamária Krajníková, Andrej Oriňák

“…The present work focuses on the computational modelling of fluid flow in a mixing stirred reactor to describe the flow pattern in two‐dimensional (2D) detail, which can be useful for optimizing the parameters of electroplating for the production of a uniform film on metallic particles in a stirred electrolytic cell. …”
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Towards Fault Detection in Industrial Equipment through Energy Consumption Analysis: Integrating Machine Learning and Statistical Methods by Baddou Nada, Dadda Afaf, Rzine Bouchra, Hmamed Hala

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Modelling sensory attenuation as Bayesian causal inference across two datasets. by Anna-Lena Eckert, Elena Fuehrer, Christina Schmitter, Benjamin Straube, Katja Fiehler, Dominik Endres

“…The sensory consequences of one's own movements tend to induce attenuated behavioral- and neural responses compared to externally generated inputs. We propose a computational model of sensory attenuation (SA) based on Bayesian Causal Inference, where SA occurs when an internal cause for sensory information is inferred.…”
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Numerical Investigation on Charging–Discharging of a PCM Using PV and Thermal Oil for Injera Baking Application by Meseret Alemu Abinet, Abdulkadir A. Hassen, G. Gashaw

“…A numerical simulation was conducted using a finite-difference computational model for the thermal storage containing PCM and thermal oil. …”
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Digital Twins of Biological Systems: A Narrative Review by Ghufran A. Alsalloum, Nour M. Al Sawaftah, Kelly M. Percival, Ghaleb A. Husseini

“…DTs technology emerges as a pivotal tool in disease modeling, integrating diverse data sources to computationally model dynamic biological systems. This narrative review explores potential DT applications in medicine, from defining DTs and their history to constructing DTs, modeling biologically relevant systems, as well as discussing the benefits, risks, and challenges in their application. …”
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Numerical Computation of Turbulent Flow and Heat Transfer in a Radially Rotating Channel with Wall Conduction by Frank K. T. Lin, G. J. Hwang, S.-C. Wong, C. Y. Soong

“…Reynolds-averaged Navier-Stokes and energy equations with a two-layer turbulence model are employed as the computational model of the flow and temperature fields. …”
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Prediction of Dynamic Milling Stability considering Time Variation of Deflection and Dynamic Characteristics in Thin-Walled Component Milling Process by Li Zhang, Weiguo Gao, Dawei Zhang, Yanling Tian

“…In order to investigate the time variation of deflection and dynamic characteristics of workpiece, a new computational model was established in this paper. Based on the influences of the deflection and the dynamic characteristics of workpiece, a new stability lobes diagram which can show different stability domains and chatter domains in different process positions was obtained. …”
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Federated learning based intelligent edge computing technique for video surveillance by Yu ZHAO, Jie YANG, Miao LIU, Jinlong SUN, Guan GUI

“…With the explosion of global data,centralized cloud computing cannot provide low-latency,high-efficiency video surveillance services.A distributed edge computing model was proposed,which directly processed video data at the edge node to reduce the transmission pressure of the network,eased the computational burden of the central cloud server,and reduced the processing delay of the video surveillance system.Combined with the federated learning algorithm,a lightweight neural network was used,which trained in different scenarios and deployed on edge devices with limited computing power.Experimental results show that,compared with the general neural network model,the detection accuracy of the proposed method is improved by 18%,and the model training time is reduced.…”
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Simulations of Learning, Memory, and Forgetting Processes with Model of CA1 Region of the Hippocampus by Dariusz Świetlik

“…The aim of this paper is to present a computational model of the CA1 region of the hippocampus, whose properties include (a) attenuation of receptors for external stimuli, (b) delay and decay of postsynaptic potentials, (c) modification of internal weights due to propagation of postsynaptic potentials through the dendrite, and (d) modification of weights for the analog memory of each input due to a pattern of long-term synaptic potentiation (LTP) with regard to its decay. …”
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The finding and researching algorithm for potentially oscillating enzymatic systems by T. N. Lakhova, F. V. Kazantsev, S. A. Lashin, Yu. G. Matushkin

“…Along with experimental approaches, mathematical and computer modeling is widely used to study oscillating biological systems. …”
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Secure outsource computing scheme of modular exponentiation based on single server by Weijie DING

“…At present,in discrete-log based cryptographic protocols,most of the computational models of modular exponentiation are for primes,while less work has been done for composite.What’s more,most schemes are based on two servers,in which it requires at least one server to be honest.However,there may not be a fully trusted cloud server in the actual environment.Then a new secure method for outsourcing exponentiation modular a composite which based on a single server was proposed.The scheme used a new mathematical division method,it could ensure the privacy of the base and exponentiation.Compared with the existing schemes,the checkability of our scheme can be greatly improved.The user can detect the error result with the probability of 119/120.…”
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Order reduction for an RNA virus evolution model by Andrei Korobeinikov, Aleksei Archibasov, Vladimir Sobolev

“…A mathematical or computational model in evolutionary biologyshould necessary combine several comparatively fast processes,which actually drive natural selection and evolution, with a veryslow process of evolution. …”
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Overcoming dead-end situations of synthesis of motions of anthropomorphic robots on the basis of the use of motions of the clutch axis along the linear surface limiting the body an... by F. N. Pritykin

“…The results of calculations of intermediate configurations in computer modeling of motions of anthropomorphic robots in an organized environment using the developed algorithm are presented.…”
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Artificial intelligence techniques applications in the wastewater: A comprehensive review by Zakur Yahya, Márquez Fausto, Al-Taie Ali, Alsaidi Saif, Alsadoon Abeer, Mirashrafi Seyed Bagher, Flaih Laith, Zakoor Yousif

“…In recent years, the computational models have garnered acknowledgment as potent instruments for tackling these various challenges, bolstering of the operational and economic effectiveness of the various wastewater treatment plants (“WWTPs”). …”
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Enhancing 5G Networks with Edge Computing: An Overview Study by Chaouki Halima, Iqdour Radouane, Boulouird Mohamed

“…This paper explores the synergies between Multi-access Edge Computing (MEC) and 5G technology, including their methodologies, characteristics, and architectures. MEC is a new computing model proposed within the framework of the rapid development of IoT, AI, and big data, aiming to bring cloud capabilities closer to the network edge. …”
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Real-Time Automatic Configuration of Brain MRI: A Comparative Study of SIFT Descriptors and YOLO Neural Network by Rávison Amaral Almeida, Júlio César Porto de Carvalho, Antônio Wilson Vieira, Heveraldo Rodrigues de Oliveira, Marcos F. S. V. D’Angelo

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Guest Editorial Introduction to the Special Section on Image-Guided Therapies by Dieter Haemmerich, Punit Prakash

“…Imaging data are also increasingly being used for constructing patient-specific computational models to inform design and evaluation of devices, and for personalized planning of interventions. …”
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Computation and Calculus for Combinatorial Geometric Series and Binomial Identities and Expansions by Chinnaraji Annamalai

“… Nowadays, the growing complexity of mathematical and computational modelling demands the simplicity of mathematical and computational equations for solving today’s scientific problems and challenges. …”
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Analysis of Meshing Efficiency of Straigh Bevel Gear based on Integrated Lubrication by Tang Xiaogui, Wang Bin, Li Peihong, Chen Xinbo

“…Considering the impact of transitioning factor of mesh point relative sliding velocity,normal load,and friction coefficient,a computing model of friction power losses for bevel gear is established,the math model of sliding and rolling friction power loss is established with a variable of pressure angle and pitch radius by double integration for a meshing cycle,and the simulation analysis of mesh power losses of bevel gear is carried out based on MATLAB.…”
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Modeling of flows under dams using the method of singular points by N.P. Petrov, S.N. Petrova, N.V. Korzhavina

“…To ensure this, theoretical research, creation of mathematical and computer models of the physical phe nomena and engineering structures under study are necessary. …”
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