Predicting the Number of COVID-19 Sufferers in Malang City Using the Backpropagation Neural Network with the Fletcher–Reeves Method by Syaiful Anam, Mochamad Hakim Akbar Assidiq Maulana, Noor Hidayat, Indah Yanti, Zuraidah Fitriah, Dwi Mifta Mahanani

“…Backpropagation, a type of ANN algorithm, offers predictive problem solving with good performance. …”
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Identification of Iron Homeostasis Genes Dysregulation Potentially Involved in Retinopathy of Prematurity Pathogenicity by Microarray Analysis by Xian-qiong Luo, Chun-yi Zhang, Jia-wen Zhang, Jing-bo Jiang, Ai-hua Yin, Li Guo, Chuan Nie, Xu-zai Lu, Hua Deng, Liang Zhang

“…The dual-color microarray approach was adopted to compare gene expression profiling between treated RMECs and the paired untreated control. The one-class algorithm in significance analysis of microarray (SAM) software was used to screen the differentially expressed genes (DEGs) and quantitative RT-PCR (qRT-PCR) was conducted to validate the results. …”
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Identification of operational deflection shapes of a wind turbine gearbox using fiber-optic strain sensors on a serial production end-of-line test bench by U. Gutierrez Santiago, U. Gutierrez Santiago, A. A. W. van Vondelen, A. Fernández Sisón, H. Polinder, J.-W. van Wingerden

“…The present study explores how a subspace identification algorithm can be applied to fiber-optic strain sensors on a four-stage gearbox to obtain operational deflection shapes. …”
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Antibiotic prophylaxis of acute postoperative endophthalmitis by V.P. Nikolaenko, D.F. Belov

“…</i> </p> <p> <i>In conclusion, the authors suggested a rational antimicrobial preventive algorithm for endophthalmitis after phaco based on the analysis of recent Russian and foreign published data and adapted to the Russian health care system.…”
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Efficient Hardware Implementation of a Multi-Layer Gradient-Free Online-Trainable Spiking Neural Network on FPGA by Ali Mehrabi, Yeshwanth Bethi, Andre van Schaik, Andrew Wabnitz, Saeed Afshar

“…The hardware-optimised implementation is shown to preserve the performance of the original algorithm across multiple spatial-temporal classification problems with significantly reduced hardware requirements.…”
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Probabilistic Short‐Term Solar Driver Forecasting With Neural Network Ensembles by Joshua D. Daniell, Piyush M. Mehta

“…The United States Air Force (USAF) operational High Accuracy Satellite Drag Model (HASDM), relies on JB2008, (https://doi.org/10.2514/6.2008‐6438), and forecasts of solar drivers from a linear algorithm. We introduce methods using long short‐term memory (LSTM) model ensembles to improve over the current prediction method as well as a previous univariate approach. …”
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Parameter Uncertainty Analysis for Streamflow Simulation Using SWAT Model in Nashe Watershed, Blue Nile River Basin, Ethiopia by Megersa Kebede Leta, Dessalegn Geleta Ebsa, Motuma Shiferaw Regasa

“…The purpose of the study was to assess the uncertainty parameters for the streamflow using the Soil and Water Assessment Tool (SWAT) hydrological model integrated sequential uncertainty fitting (SUFI-2) algorithm to Nashe watershed located in the Northwestern, Upper Blue Nile River Basin. …”
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An Examination of SuperDARN Backscatter Modes Using Machine Learning Guided by Ray‐Tracing by B. S. R. Kunduri, J. B. H. Baker, J. M. Ruohoniemi, E. G. Thomas, S. G. Shepherd

“…In this study, we present a new two‐stage machine learning algorithm for identifying different backscatter modes in SuperDARN data. …”
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Enhancing Passive WiFi Device Localization Through Packet Timing Analysis by Omar Dhawahir, Murat Torlak

“…Simulations and experiments conducted under diverse multipath conditions demonstrate the algorithm&#x2019;s accuracy in 2-D positioning, achieving an average accuracy of as low as 0.24 m in simulations and 1.18 m in experiments when the Wi-Fi router and device are separated by distances of up to 18 m. …”
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Multi-Person Localization Based on a Thermopile Array Sensor with Machine Learning and a Generative Data Model by Stefan Klir, Julian Lerch, Simon Benkner, Tran Quoc Khanh

“…Both algorithms provide a high mean average precision (mAP) exceeding 98%. …”
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Diagnosis of Parkinson’s disease by eliciting trait-specific eye movements in multi-visual tasks by Maosong Jiang, Yanzhi Liu, Yanlu Cao, Shufeng Xia, Fei Teng, Wenzhi Zhao, Yongzhong Lin, Wenlong Liu

“…The abnormal features were subsequently modeled by using the proposed deep learning algorithm to achieve an auxiliary diagnosis of PD. …”
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A Cloud-Based Optimized Ensemble Model for Risk Prediction of Diabetic Progression&#x2014;An Azure Machine Learning Perspective by V. K. Daliya, T. K. Ramesh

“…This study introduces an optimized Light Gradient-Boosting Machine (Light GBM) and K-Nearest Neighbour (KNN) based ensemble algorithm for predicting diabetic progression of Type 2 Diabetes, classifying it as high or low risk, using patient health parameters and serum measurements. …”
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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... by Jingfeng Yang, Zhiyong Luo, Nanfeng Zhang, Honggang Wang, Ming Li, Jinchao Xiao

“…The velocity detection using electronic registration identification of motor vehicles is constrained by the detection algorithm, the material of the automobile windshield, the placement of the decals, the installation method of the signal reader, and the angle of the antenna. …”
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Collision-Free Path-Planning for Six-DOF Serial Harvesting Robot Based on Energy Optimal and Artificial Potential Field by Lufeng Luo, Hanjin Wen, Qinghua Lu, Haojie Huang, Weilin Chen, Xiangjun Zou, Chenglin Wang

“…Finally, to verify and test the proposed path planning algorithm, a virtual test system based on virtual reality was developed. …”
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A Novel Hierarchical/Decentralized AGC Scheme for Power Systems Integrated With Large-Scale Solar Power Plants by Siavash Yari, Masood Mottaghizadeh, Innocent Kamwa, Dmitry Rimorov

“…Following this, the decentralized AGC system works hierarchically and in parallel with the centralized algorithm to regulate the frequency and tie lines exchange power. …”
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Energy-efficient unequal multi-level clustering for underwater wireless sensor networks by Sathish Kumar, Ravikumar Chinthaginjala, Shafiq Ahmad, Taehoon Kim

“…An Energy Efficient Unequal Multilevel Clustering (EEUMC) algorithm tailored to UWSNs is proposed in this study. …”
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Long‐Term Observations of Galactic Cosmic Ray LET Spectra in Lunar Orbit by LRO/CRaTER by M. D. Looper, J. E. Mazur, J. B. Blake, H. E. Spence, N. A. Schwadron, J. K. Wilson, A. P. Jordan, C. Zeitlin, A. W. Case, J. C. Kasper, L. W. Townsend, T. J. Stubbs

“…We have used the Geant4 radiation‐transport code to devise a background‐rejection algorithm to improve these measurements of LET under 9.9 g/cm2 of shielding, and the resulting observations show the changing radiation effects of GCRs as their intensity and spectrum vary with solar modulation. …”
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Unsupervised Learning‐Assisted Acoustic‐Driven Nano‐Lens Holography for the Ultrasensitive and Amplification‐Free Detection of Viable Bacteria by Yang Zhou, Junpeng Zhao, Junping Wen, Ziyan Wu, Yongzhen Dong, Yiping Chen

“…A lightweight unsupervised learning hologram processing algorithm considerably reduces training time and computing hardware requirements, without requiring datasets with manual labels. …”
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Bayesian Regularized Neural Network Model Development for Predicting Daily Rainfall from Sea Level Pressure Data: Investigation on Solving Complex Hydrology Problem by Lu Ye, Saadya Fahad Jabbar, Musaddak M. Abdul Zahra, Mou Leong Tan

“…The artificial intelligence (AI) algorithm is generally used for stochastic forecasting rainfall which is not capable to simulate unseen extreme rainfall events which become common due to climate change. …”
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Adaptive Asymptotic Shape Synchronization of a Chaotic System with Applications for Image Encryption by Yangxin Luo, Yuanyuan Huang, Fei Yu, Diqing Liang, Hairong Lin

“…Simulation experiments demonstrate that the proposed encryption algorithm achieves exceptional performance in terms of correlation metrics and entropy, with a competitive value of 7.9971. …”
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