A Hybrid Deep Learning‐Based Forecasting Model for the Peak Height of Ionospheric F2 Layer by Ya‐fei Shi, Cheng Yang, Jian Wang, Yu Zheng, Fan‐yi Meng, Leonid F. Chernogor

“…Abstract To achieve accurate forecasting of the peak height of the ionospheric F2 layer (hmF2), we propose a hybrid deep learning model of improved seagull optimization algorithm (ISOA) optimized long short‐term memory (LSTM) model based on a complete ensemble empirical mode decomposition with adaptive noise (CEEMDAN) theory. …”
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T cell receptor signaling pathway subgroups and construction of a novel prognostic model in osteosarcoma by Huan Xu, Huimin Tao

“…Immune landscape analysis including immune infiltration analysis, ESTIMATE algorithm and immune checkpoints expression levels of molecular subtypes and different risk groups were analyzed. …”
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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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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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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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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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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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Health Care Costs attributable to Hospital-diagnosed Back Pain: A Longitudinal Register-based Study of the Danish Population by Rikke Søgaard, Jan Sørensen

“…One-year prevalence was defined according to a previously published and validated algorithm, which was applied to the Danish national patient registry. …”
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Cognitive load detection through EEG lead wise feature optimization and ensemble classification by Jammisetty Yedukondalu, Kalyani Sunkara, Vankayalapati Radhika, Sivakrishna Kondaveeti, Murali Anumothu, Yadadavalli Murali Krishna

“…The binary arithmetic optimization (BAO) algorithm employed to reduce the feature space and extract multi-domain features from modes, thereby optimizing classification performance. …”
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Construction and application of a physically-based constitutive model for superplastic deformation of near-α TNW700 titanium alloy by Lixia Ma, Dingyong He, Bangjian Yang, Xiuquan Han, Jichun Zhang, Weidong Li

“…Material constants are calibrated using a genetic algorithm combined with multi-objective optimization. …”
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Validation of DSDs of GPM DPR with Ground-Based Disdrometers over the Tianshan Region, China by Xinyu Lu, Xiuqin Wang, Cheng Li, Yan Liu, Yong Zeng, Hong Huo

“…In the applied single-frequency retrieval algorithm (SFA), the rainfall parameters retrieved from the Ka band outperformed those retrieved from the Ku band, indicating that the Ka band has stronger detection capability in the Tianshan Mountains area, where light rain predominates. …”
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Credit Rating Model of Small Enterprises Based on Optimal Discriminant Ability and Its Empirical Study by Zhanjiang Li, Lin Guo

“…Based on this principle, a nonlinear optimization model for credit rating division of small enterprises is built, and the approximate solution of the model is solved by a recursive algorithm with strong reproducibility and clear structure. …”
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Pedagogical strategies for enhancing physical activity: A systematic review of trends and approaches by Marina Jagiello, Marc Lochbaum

“…As a result of the search, 93 scientific articles were selected. A special algorithm in the Python programming language was developed for analyzing and synthesizing data from the selected articles. …”
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Measuring Transducer for Air Gap Capacitive Sensor in Hydrogenerator by A. S. Levytskyi, I. O. Zaitsev, V. O. Bereznychenko, O. E. Sukhorukova

“…The control action in the device is formed by the phase of the unbalancing signal.The structural diagram of the converter is presented and the algorithm of its operation is described. The process of forming a measuring output signal proportional to the sensor working capacitance in the circuit is considered.The use of a capacitive sensor with coplanar parallel electrodes and the proposed secondary measuring transducer will ensure high accuracy and resolution when measuring the air gap.…”
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Analysis of acoustic field characteristics of mesoscale eddies throughout their complete life cycle by Xiaodong Ma, Lei Zhang, Weishuai Xu, Maolin Li

“…Through the amalgamation of multi-source data, this research introduces an innovative mesoscale eddy tracking algorithm and an enhanced Gaussian eddy model. Utilizing the BELLHOP ray theory model, this investigation scrutinizes the acoustic field characteristics of a cyclonic eddy and a typical anticyclonic eddy (CE-AE) pair exhibiting complete life cycles in the Northwest Pacific. …”
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Research on Clue Mining in Criminal Cases of Smart Phone Trojan Horse under the Background of Information Security by Li Gang, Yong Wen

“…Aiming at the problem of the lack of means for mining-related forms between things, the pheromone strategy of absorbing the ant colony algorithm is proposed, and random walks are performed on the conceptual network. …”
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SequenceCraft: machine learning-based resource for exploratory analysis of RNA-cleaving deoxyribozymes by M. Eremeyeva, Y. Din, N. Shirokii, N. Serov

“…This became possible with the development of a unique curated database of > 350 RNA-cleaving catalytic cores, property-based sequence representations allowing to work with both conventional and chemically modified nucleotides, and optimized kobs predicting algorithm achieving Q2 > 0.9 on experimental data published to date. …”
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Automated system for calving time prediction and cattle classification utilizing trajectory data and movement features by Wai Hnin Eaindrar Mg, Thi Thi Zin, Pyke Tin, Masaru Aikawa, Kazuyuki Honkawa, Yoichiro Horii

“…Our Customized Tracking Algorithm (CTA) maintains continuous identity tracking for each cow, enabling accurate re-identification even during occlusions. …”
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