Non‐Volatile Resistive Switching in Nanoscaled Elemental Tellurium by Vapor Transport Deposition on Gold by Sara Ghomi, Christian Martella, Yoonseok Lee, Penny Hui‐Ping Chang, Paolo Targa, Andrea Serafini, Davide Codegoni, Chiara Massetti, Sepideh Gharedaghi, Alessio Lamperti, Carlo Grazianetti, Deji Akinwande, Alessandro Molle

“…Abstract Two‐dimensional (2D) materials are promising for resistive switching in neuromorphic and in‐memory computing, as their atomic thickness substantially improve the energetic budget of the device and circuits. …”
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Potential quantum advantage for simulation of fluid dynamics by Xiangyu Li, Xiaolong Yin, Nathan Wiebe, Jaehun Chun, Gregory K. Schenter, Margaret S. Cheung, Johannes Mülmenstädt

“…In this paper, we suggest that a quantum advantage may exist for simulating fluid dynamics, paving the way for simulating nonlinear multiscale transport phenomena in a wide range of disciplines using quantum computing.…”
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Size Effects of Finite Element Model for Three-Dimensional Microstructural Modeling of Asphalt Mixture by Kuanghuai Wu, Qingzi Deng, Naiming Deng, Xu Cai, Wenke Huang

“…Asphalt mixture is a particulate composite material consisting of aggregate, mastic, and air voids. The computed tomography (CT) image-based finite element approach is used as an effective method to simulate micromechanical response of asphalt mixture. …”
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Multivisual Animation Character 3D Model Design Method Based on VR Technology by Leiming Li, Wenyao Zhu, Hongwei Hu

“…It mainly analyzes the 3D graphics algorithm used in the three-dimensional geometric transformation of computer graphics and studies the basic texture technology, basic lighting model, and other image output processes used in the fragment processing stage. …”
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A Network Traffic Prediction Model Based on Layered Training Graph Convolutional Network by Yulian Li, Yang Su

“…The conventional model that extracts space-correlated features of traffic flow have the problem of high computational complexity and long training time which limits the model’s application on rapid routing deployment. …”
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Gearbox Rolling Bearing Fault Diagnosis Based on Autocorrelation Envelope and Adaptive MED by Li Hua, Yu Zifeng, Xiao Yuan, Li Zhiyong, Liu Haitao, Li Baisong, Shao Qiang, Gu Ziqiang

“…However, in the actual computational process, the parameter settings of the MED inverse filter are highly sensitive to the extraction results. …”
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Civil structural health monitoring and machine learning: a comprehensive review by Asraar Anjum, Meftah Hrairi, Abdul Aabid, Norfazrina Yatim, Maisarah Ali

“…In combination with ML, the review explores corresponding soft computing methodologies such as fuzzy logic (FL) and design of experiments (DOE). …”
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New Trends in Robotics for Agriculture: Integration and Assessment of a Real Fleet of Robots by Luis Emmi, Mariano Gonzalez-de-Soto, Gonzalo Pajares, Pablo Gonzalez-de-Santos

“…Computer-based sensors and actuators such as global positioning systems, machine vision, and laser-based sensors have progressively been incorporated into mobile robots with the aim of configuring autonomous systems capable of shifting operator activities in agricultural tasks. …”
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Estimation of bed shear stress and settling velocity with inertial dissipation method of suspended sediment concentration in cohesive sediment environments by Jongwi Chang, Guan-hong Lee, Ojudoo Darius Ajama, Wenjian Li

“…Moreover, the enhancement of shear stress calculation in IDM_Sed, incorporating SSC and in-situ observed shear velocities, proposes a novel method to compute time-varying settling velocities from shear stress.…”
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Maximum Likelihood Angle-Range Estimation for Monostatic FDA-MIMO Radar with Extended Range Ambiguity Using Subarrays by Kaikai Yang, Sheng Hong, Qi Zhu, Yanheng Ye

“…In the ML algorithm, the joint angle-range estimation problem becomes a high-dimensional search problem; thus, it is computationally expensive. To reduce the computation load, the alternating projection ML (AP-ML) algorithm is proposed by transforming the high-dimensional search into a series of one-dimensional search iteratively. …”
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Fast Random Permutation Tests Enable Objective Evaluation of Methods for Single-Subject fMRI Analysis by Anders Eklund, Mats Andersson, Hans Knutsson

“…In this work, it is shown how the computational power of cost-efficient graphics processing units (GPUs) can be used to speed up random permutation tests. …”
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ISCAZIM: Integrated statistical correlation analysis for zero-inflated microbiome data by Zhe Fan, Jiali Lv, Shuai Zhang, Bingbing Gu, Cheng Wang, Tao Zhang

“…The objectives of this study are to evaluate the strengths and weaknesses of existing statistical methods and to develop a computational framework tailored to the unique characteristics of microbiome data. …”
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Medical Images Segmentation Based on Unsupervised Algorithms: A Review by Revella E. A. Armya, Adnan Mohsin Abdulazeez

“… Medical image segmentation plays an essential role in computer-aided diagnostic systems in various applications. …”
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Investigation of temperature homogeneity during infrared soldering of silicon solar cells using the finite element method by Joseph Daniel Christopher, De Rose Angela, Eberlein Dirk, Parlayan Onur, Grübel Benjamin, Beinert Andreas J., Neuhaus Holger

“…This model is versatile and capable of computing the temperature for different solar cell types and sizes by using their radiative and thermal properties, while also considering the shading effects of the down-holder used. …”
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Comparison of Design Guidelines for Hot-Rolled I-Shaped Steel Compression Members according to AISC 360-16 and EC3 by S. Pinarbasi, T. Genc, E. Akpinar, F. Okay

“…For various steel grades, member lengths, and 153 different European I/H sections, design buckling resistances and design compressive strengths are computed and compared. It is shown that there are at most 3% difference between the effective areas computed using both specifications. …”
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EGUP corrected thermodynamics of RN-AdS black hole with quintessence matter by Baoyu Tan

“…Furthermore, as a special case of EGUP, we have computed and compared the result obtained from the generalized uncertainty principle (GUP) with those from the extended uncertainty principle (EUP). …”
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DESNet: Real-time human pose estimation for sports applications combining IoT and deep learning by Rongbao Huang, Bo Zhang, Zhixin Yao, Bojun Xie, Jia Guo

“…Deep learning has shown significant potential in enhancing computer vision tasks, including human pose estimation. …”
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An Intelligent Heuristic Manta-Ray Foraging Optimization and Adaptive Extreme Learning Machine for Hand Gesture Image Recognition by Seetharam Khetavath, Navalpur Chinnappan Sendhilkumar, Pandurangan Mukunthan, Selvaganesan Jana, Lakshmanan Malliga, Subburayalu Gopalakrishnan, Sankuru Ravi Chand, Yousef Farhaoui

“…The development of hand gesture recognition systems has gained more attention in recent days, due to its support of modern human-computer interfaces. Moreover, sign language recognition is mainly developed for enabling communication between deaf and dumb people. …”
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Connectivity-Based Parcellation of the Cortical Mantle Using q-Ball Diffusion Imaging by Muriel Perrin, Yann Cointepas, Arnaud Cachia, Cyril Poupon, Bertrand Thirion, Denis Rivière, Pascal Cathier, Vincent El Kouby, André Constantinesco, Denis Le Bihan, Jean-François Mangin

“…Then, for each voxel of the cortex, a connection profile is computed using a probabilistic tractography framework. …”
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An MCMC Approach to Bayesian Image Analysis in Fourier Space by Konstantinos Bakas, John Kornak, Hernando Ombao

“…A primary limitation of these methods is their computational cost due to the complex joint interdependencies between pixels, which limits the efficiency of performing posterior sampling through Markov chain Monte Carlo (MCMC). …”
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