Learning a Quantum Computer's Capability by Daniel Hothem, Kevin Young, Tommie Catanach, Timothy Proctor

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Development of regenerative braking in an electric vehicle using a neural controller with an auxiliary power system by Ahmad Alhamood Alarefe, SALAM ALI MAHMOUD, RAED ALCHAREA

Subjects: “…Neural networks…”
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A Hybrid Forecasting Model Based on Bivariate Division and a Backpropagation Artificial Neural Network Optimized by Chaos Particle Swarm Optimization for Day-Ahead Electricity Price by Zhilong Wang, Feng Liu, Jie Wu, Jianzhou Wang

“…Based on the chaos particle swarm optimization (CPSO), the backpropagation artificial neural network (BPANN), and the idea of bivariate division, this paper proposes a bivariate division BPANN (BD-BPANN) method and the CPSO-BD-BPANN method for forecasting electricity price. …”
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TransRAUNet: A Deep Neural Network with Reverse Attention Module Using HU Windowing Augmentation for Robust Liver Vessel Segmentation in Full Resolution of CT Images by Kyoung Yoon Lim, Jae Eun Ko, Yoo Na Hwang, Sang Goo Lee, Sung Min Kim

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Evolving Spiking Neural Network Model for PM2.5 Hourly Concentration Prediction Based on Seasonal Differences: A Case Study on Data from Beijing and Shanghai by Hengyuan Liu, Guibin Lu, Yangjun Wang, Nikola Kasabov

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Study on the Identification of Radix Bupleuri from Its Unofficial Varieties Based on Discrete Wavelet Transformation Feature Extraction of ATR-FTIR Spectroscopy Combined with Probability Neural Network by Wenying Jin, Chayan Wan, Cungui Cheng

“…The infrared spectra and spectra of Fourier self-deconvolution (FSD), discrete wavelet transform (DWT), and probability neural network (PNN) of these species were analyzed. By the method of FSD, there were conspicuous differences of the infrared absorption peak intensity of different types between Radix Bupleuri and its unofficial varieties. …”
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Intermittent series direct current arc fault detection in direct current more‐electric engine power systems based on wavelet energy spectra and artificial neural network by J. Thomas, R. Telford, P. J. Norman, G. M. Burt

“…This paper addresses these unique MEA/MEE issues through the proposal of a new generalised real‐time arc fault detection methodology (WaSp) based on time–frequency domain‐extracted features applied to a feed‐forward Artificial Neural Network (ANN). The paper outlines the analysis of arc fault time–frequency domain features. …”
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A Hybrid Model for Short-Term Traffic Flow Prediction Based on Variational Mode Decomposition, Wavelet Threshold Denoising, and Long Short-Term Memory Neural Network by Yang Yu, Qiang Shang, Tian Xie

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A Preliminary Study on 2D Convolutional Neural Network-Based Discontinuous Rail Position Classification for Detection on Rail Breaks Using Distributed Acoustic Sensing Data by Hye-Yeun Chun, Jungtai Kim, Dongkue Kim, Ilmu Byun, Kyeongjun Ko

“…In the third step, the spectrogram images are applied to the proposed 2D convolutional neural network (2D CNN) model and the network detects discontinuous rail positions along the track, which are geometrically distinct from continuous welded rails, such as rail breaks. …”
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A Comparison of Machine Learning-Based Approaches in Estimating Surface PM_2.5 Concentrations Focusing on Artificial Neural Networks and High Pollution Events by Shijin Wei, Kyle Shores, Yangyang Xu

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Numerical Calibration Method for Vehicle Velocity Data from Electronic Registration Identification of Motor Vehicles Based on Mobile Edge Computing and Particle Swarm Optimization Neural Network by Jingfeng Yang, Zhiyong Luo, Nanfeng Zhang, Honggang Wang, Ming Li, Jinchao Xiao

“…Based on the actual application requirements, we propose a calibration method for the numerical output of the automobile velocity detector based on edge computing of the optimized multiple reader/writer velocity values and based on a particle swarm-optimized radial basis function (RBF) neural network. The proposed method was tested on a two-way eight-lane road, and the test results showed that it can effectively improve the accuracy of velocity detection using electronic registration identification of motor vehicles. …”
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Comparing prediction accuracy for 30-day readmission following primary total knee arthroplasty: the ACS-NSQIP risk calculator versus a novel artificial neural network model by Anirudh Buddhiraju, Michelle Riyo Shimizu, Tony Lin-Wei Chen, Henry Hojoon Seo, Blake M. Bacevich, Pengwei Xiao, Young-Min Kwon

“…This study aims to compare the predictive accuracy of the SRC with a novel artificial neural network (ANN) algorithm for 30-day readmission after primary TKA, using the same set of clinical variables from a large national database. …”
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Determination of the effect of GA3 applications on plant development, nutrient content change and analysis of root architectural features using ML artificial neural network modelling in Tulipa saxatilis by Sari Ömer

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A Novel Mathematical Approach to Define the Genes/SNPs Conferring Risk or Protection in Sporadic Amyotrophic Lateral Sclerosis Based on Auto Contractive Map Neural Networks and Graph Theory by Massimo Buscema, Silvana Penco, Enzo Grossi

“…The Auto Contractive Map (AutoCM), belonging to the Artificial Neural Network (ANN) architecture, “spatializes” the correlation among variables by constructing a suitable embedding space where a visually transparent and cognitively natural notion such as “closeness” among variables reflects accurately their associations. …”
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Optimization of Residual Wall Thickness Uniformity in Short-Fiber-Reinforced Composites Water-Assisted Injection Molding Using Response Surface Methodology and Artificial Neural Network-Genetic Algorithm by Haiying Zhou, Hesheng Liu, Tangqing Kuang, Qingsong Jiang, Zhixin Chen, Weipei Li

“…Response surface methodology (RSM) and artificial neural network (ANN) optimized by genetic algorithm (GA) were employed to map the relationship between the process parameters and the standard deviation (SD) depicting the RWTU. …”
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Metode Deteksi Pokok Pohon Secara Automatis pada Citra Perkebunan Sawit Menggunakan Model Convolutional Neural Network (CNN) pada Perangkat Lunak Sistem Informasi Geografis by Samuel Samuel, Kestrilia Rega Prilianti, Hendry Setiawan, Prasetyo Mimboro

“…Pada penelitian ini didemonstrasikan penggunaan metode Convolutional Neural Network (CNN) dengan arsitektur ResNet-34 dan ResNet-50 untuk membangun model deteksi pokok pohon sawit dari citra UAV perkebunan sawit PTPN IV. …”
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SDUST2023BCO: a global seafloor model determined from a multi-layer perceptron neural network using multi-source differential marine geodetic data by S. Zhou, S. Zhou, J. Guo, H. Zhang, Y. Jia, H. Sun, X. Liu, D. An

“…With the growing demand for high-precision bathymetric models, a multi-layer perceptron (MLP) neural network is used to integrate multi-source marine geodetic data in this paper. …”
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Predicting Postoperative Re-Tear of Arthroscopic Rotator Cuff Repair Using Artificial Intelligence on Imbalanced Data by Zhibin Zhang, Zhewei Zhang, Zhaoxiang Peng, Yihong Dong

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EPIMR: Prediction of Enhancer-Promoter Interactions by Multi-Scale ResNet on Image Representation by Qiaozhen Meng, Yinuo Lyu, Xiaoqing Peng, Junhai Xu, Jijun Tang, Fei Guo

Subjects: “…multi-scale residual neural network (resnet)…”
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Research on multi-objective control of PPCI diesel engine combustion process based on data driven modelling by Ziqiang Chen, Peng Ju, Zhe Wang, Du Huang, Lei Shi, Kangyao Deng

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