A human single-neuron dataset for object recognition by Runnan Cao, Peter Brunner, Nicholas J. Brandmeir, Jon T. Willie, Shuo Wang

“…Together, our extensive dataset, offering the highest spatial and temporal resolution currently available in humans, will not only facilitate a comprehensive analysis of the neural correlates of object recognition but also provide valuable opportunities for training and validating computational models.…”
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Ensuring Safety and Reliability: An Overview of Lithium-Ion Battery Service Assessment by Cezar Comanescu

“…Current reliability assessment techniques include experimental methods, computational models, and data-driven approaches. Emerging trends, such as advanced characterization techniques and standardized testing protocols, advocate for improved practices to enhance the reliability and safety of LIBs across all applications.…”
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Structured Dynamics in the Algorithmic Agent by Giulio Ruffini, Francesca Castaldo, Jakub Vohryzek

“…Our findings bridge perspectives from algorithmic information theory (Kolmogorov complexity, compressive modeling), symmetry (group theory), and dynamics (conservation laws, reduced manifolds), offering insights into the neural correlates of agenthood and structured experience in natural systems, as well as the design of artificial intelligence and computational models of the brain.…”
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ENHANCING OPERATIONAL EFFICIENCY IN COAL ENTERPRISES THROUGH CAPACITY LAYOUT OPTIMISATION: A COST-EFFECTIVENESS ANALYSIS by D. A. Pervukhin, Lisha Tang

“… In particular, this work explores the effectiveness of capacity layout optimisation on workflows and organizational performance for coal enterprises through reliance on advanced technologies such as GIS, Lean Six Sigma, Artificial Intelligence (AI), and Big Data, filling in those gaps in prior studies by using software from AnyLogic to develop computational models and conduct simulations. It analyses the critical parameters of processing time, throughput rates, resource utilization, queue lengths, and idle times to determine operational efficiency and employee satisfaction. …”
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Modeling the endocrine control of vitellogenin production in female rainbow trout by Kaitlin Sundling, Gheorghe Craciun, Irvin Schultz, Sharon Hook, James Nagler, Tim Cavileer, Joseph Verducci, Yushi Liu, Jonghan Kim, William Hayton

“…We anticipate that these mathematical and computational models will play an important role in future regulatory toxicity assessments and in the prediction of ecological risk.…”
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The Resilience of Public Policies in Economic Development by Gonzalo Castañeda, Omar A. Guerrero

“…In order to estimate the allocation of resources across policies, we employ a computational model that accounts for diverse social mechanisms, for example, coevolutionary learning and network interdependencies. …”
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m5C‐TNKmer: Identification of 5‐Methylated Base Cytosine of Ribonucleic Acid Using Supervised Machine Learning Techniques by Shahid Qazi, Dilawar Shah, Mohammad Asmat Ullah Khan, Shujaat Ali, Mohammad Abrar, Asfandyar Khan, Muhammad Tahir

“…This study introduces a novel computational model m5C‐TNKmer, which utilizes k‐mer feature extraction to enhance the identification of m5C sites in RNA sequences. …”
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Modeling Forced Flow Chemical Vapor Infiltration Fabrication of SiC-SiC Composites for Advanced Nuclear Reactors by Christian P. Deck, H. E. Khalifa, B. Sammuli, C. A. Back

“…To help optimize this process, a computer model was developed. This model simulates the transport of the SiC precursors, the deposition of SiC matrix on the fiber surfaces, and the effects of byproducts on the process. …”
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Image Reconstruction for High-Performance Electrical Capacitance Tomography System Using Deep Learning by Yanpeng Zhang, Deyun Chen

“…An optimization model for imaging is generated as a powerful optimizer for building a computational model to ameliorate the reconstruction accuracy. …”
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Assessing ECG Interpretation Expertise in Medical Practitioners Through Eye Movement Data and Neuromorphic Models by Syed Mohsin Bokhari, Muhammad Shafi, Fazal Noor, Sarmad Sohaib, Saad Alqahtany, Mark Donnelly

“…We examine eye movement patterns from five separate groups of cardiology practitioners utilizing a combination of neuromorphic computing models, including Spiking Neural Networks (SNN), Spiking Convolutional Neural Networks (SCNN), Recurrent Spiking Neural Networks (RSNN), and Spiking Convolutional Long Short-Term Memory (SCLSTM). …”
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Effectiveness of Different Artificial Neural Network Models in Establishing the Suitable Dosages of Coagulant and Chlorine in Water Treatment Works by Dnyaneshwar V. Wadkar, Ganesh C. Chikute, Pravin S. Patil, Pallavi D. Wadkar and Manasi G. Chikute

“…The application of a soft computing model for defining doses of coagulant and chlorine that are inextricably linked at a Water treatment plant (WTP) will be highly beneficial for WTP Managers.…”
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A Mathematical and Numerically Integrable Modeling of 3D Object Grasping under Rolling Contacts between Smooth Surfaces by Suguru Arimoto, Morio Yoshida

“…A computable model of grasping and manipulation of a 3D rigid object with arbitrary smooth surfaces by multiple robot fingers with smooth fingertip surfaces is derived under rolling contact constraints between surfaces. …”
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Optimizing children's hand orthosis design: A study on contact pressure distribution using FSR sensors by Dhaval Patel, Ivaylo Mitev, Thomas Rockenbauer, Thomas Antretter, Sandra Schloegl, Margit Lang

“…Additionally, the study demonstrates the feasibility of integrating precise sensor data into computational models for optimizing medical device designs. …”
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An Interactive Computational Pipeline to Investigate Ventricular Hemodynamics with Real‐Time Three‐Dimensional Echocardiography and Computational Fluid Dynamics by Jan‐Niklas Thiel, Daniel Verhülsdonk, Ulrich Steinseifer, Katharina Linden, Ulrike Herberg, Ingeborg Friehs, Daniel Diaz‐Gil, Michael Neidlin

“…This leads to a lack of reproducibility and usability of the existing computational models. In this work, we introduce IP‐HEART—an interactive and open‐source computational pipeline to perform geometry processing for CFD models of ventricular blood flow. …”
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A simplified computational liver perfusion model, with applications to organ preservation by Daniel Emerson, Yoed Rabin, Levent Burak Kara

“…We aim to create computational models of the liver to aid in the development of new cryopreservation protocols. …”
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Development and Validation of an Age-Specific Lower Extremity Finite Element Model for Simulating Pedestrian Accidents by Jing Huang, Yongcheng Long, Yu Yan, Lin Hu

“…However, current computational models only represent certain ages in the population, the age spectrum of the pedestrian victims is very large, and the geometry of anatomical structures and material property of the lower extremities changes with age for adults, which could affect the injury tolerance, especially in at-risk populations such as the elderly. …”
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Modeling a Virtual World for the Educational Game Calangos by Angelo C. Loula, Leandro N. de Castro, Antônio L. Apolinário, Pedro L. B. da Rocha, Maria da Conceição L. Carneiro, Vanessa Perpétua G. S. Reis, Ricardo F. Machado, Claudia Sepulveda, Charbel N. El-Hani

“…The paper presents the computational model of the ecological system included in the game, based on a real ecological case, a sand dune ecosystem located in the semiarid Caatinga biome, namely, the sand dunes of the middle São Francisco River, in the state of Bahia, Brazil. …”
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Implementation of finite state logic machines via the dynamics of atomic systems by Dawit Hiluf Hailu

“…Unlike traditional combinational logic circuits, where the output depends solely on the input, we suggest a finite-state machine-like computing model, where the output is influenced by both the input and the system’s initial state. …”
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Mayfly Taylor Optimisation-Based Scheduling Algorithm with Deep Reinforcement Learning for Dynamic Scheduling in Fog-Cloud Computing by G. Shruthi, Monica R. Mundada, B. J. Sowmya, S. Supreeth

“…In this paper, Mayfly Taylor Optimisation Algorithm (MTOA) is developed for dynamic scheduling in the fog-cloud computing model. The developed MTOA-based Deep Q-Network (DQN) showed better performance with energy consumption, service level agreement (SLA), and computation cost of 0.0162, 0.0114, and 0.0855, respectively.…”
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Impact analysis of tunnel crossing pile foundation at different angles by Zhongxi Tian, Zhiyu Zhang, Guangzhan Zhang, Xiangjun Shan, Wanrong Liu

“…This paper takes the actual engineering project as the background, uses the finite element analysis software midas GTS NX to creating 3D computational models, and analyzes the effect of tunnel crossing on the surface settlement and pile foundation deformation when the shield tunnel and the axes of the underpinned beams are at different angles. …”
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