Impacts of noise and interference on the bit error rate of the FBMC-OQAM modulation scheme in 5G systems by A. Androon, O. V. Tikhonova

“…The graphical and numerical data obtained through computer modeling demonstrates improved BER in 5G networks using FBMC-OQAM. …”
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Advancing Alzheimer's Therapy: Computational strategies and treatment innovations by Jibon Kumar Paul, Abbeha Malik, Mahir Azmal, Tooba Gulzar, Muhammad Talal Rahim Afghan, Omar Faruk Talukder, Samar Shahzadi, Ajit Ghosh

“…Our findings underscore the critical role of computational models in elucidating disease mechanisms, identifying therapeutic targets, and expediting drug discovery. …”
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Herb-disease association prediction model based on network consistency projection by Lei Chen, Shiyi Zhang, Bo Zhou

“…Nevertheless, only a few computational models have been developed for HDA prediction. …”
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Numerical Investigation of Fracture Behavior for Glass Fiber Composite Concretes by Meryem Charef, Nabil Kazi Tani, Ahmed Soufiane Benosman, Hasan Dilbas

“…In this view, recycled waste aggregate-based concrete and its innovative design require advanced computational modeling techniques. Accordingly, this comprehensive and computational research is conducted to investigate the fracture behavior of notched glass fiber reinforced concrete beam modeled with finite element method. …”
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Maximum Independent Sets Partition of (n,k)-Star Graphs by Fu-Tao Hu

“…The (n,k)-star graph is a very important computer modelling. The independent number and chromatic number of a graph are two important parameters in graph theory. …”
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Egoistic versus Prosocial Decision Making: an Eye Movement Data Report by Anastasia Peshkovskaya

“…Data may be applicable in computational models of oculomotor activity to explain decision process and predict its outcomes.…”
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NUMERICAL MODELING OF THE INTENSE DEFORMED STATE AND PECULIARITIES OF STRUCTURE FORMATION OF CAST IRON AT HOT EXTRUSION MOLDING by A. I. Pokrovsky, P. E. Lushchik

“…The specific features of structure formation of high-strength cast iron subjected to direct extrusion with different strain (ε) are studied both theoretically (by computer modeling) and experimentally (by metallographic analysis using light and electron microscopes). …”
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Fraction Reduction in Membrane Systems by Ping Guo, Hong Zhang, Haizhu Chen, Ran Liu

“…P system is a new computing model, while the current methods for fraction reductions are not available in these systems. …”
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Test-Retest Reliability of Two Computationally-Characterised Affective Bias Tasks by Alexandra C. Pike, Katrina H. T. Tan, Hoda Tromblee, Michelle Wing, Oliver J. Robinson

“…Parameters from computational modelling of these tasks were in many cases less reliable than summary statistics. …”
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Sequential Spiking Neural P Systems with Local Scheduled Synapses without Delay by Alia Bibi, Fei Xu, Henry N. Adorna, Francis George C. Cabarle

“…Spiking neural P systems with scheduled synapses are a class of distributed and parallel computational models motivated by the structural dynamism of biological synapses by incorporating ideas from nonstatic (i.e., dynamic) graphs and networks. …”
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Universally composable secure multiparty computation protocol with fairness by You-liang TIAN, Chang-gen PENG, Jian-feng MA, Hui LIN, Kai YANG

“…A fair secure multiparty computation model with ideal functionalities was firstly formulated such as a fair secure multiparty addition computation and a fair secure multiparty multiplicative computation. …”
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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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Adolescent and adult mice use both incremental reinforcement learning and short term memory when learning concurrent stimulus-action associations. by Juliana Chase, Liyu Xia, Lung-Hao Tai, Wan Chen Lin, Anne G E Collins, Linda Wilbrecht

“…Using logistic regression and computational models to analyze the first 200 trials per odor, we determined that mice used both incremental RL and stimulus-insensitive, one-back strategies to solve the task. …”
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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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Implications of entropy generation in bioconvective flow on Maxwell nanofluid past a Riga plate with Cattaneo--Christov model by K. Loganathan, Prasun Choudhary, S. Eswaramoorthi, K. Senthilvadivu, N. Thamaraikannan, Reema Jain

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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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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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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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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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