Integrating Multiple Hierarchical Parameters to Achieve the Self-Compensation of Scale Factor in a Micro-Electromechanical System Gyroscope by Rui Zhou, Rang Cui, Daren An, Chong Shen, Yu Bai, Huiliang Cao

“…This is achieved by integrating the primary and secondary relevant parameters of the scale factor using the partial least squares regression (PLSR) algorithm. In this paper, a scale factor prediction model is presented. …”
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Reliability Modeling of Wind Turbine Gearbox System Considering Failure Correlation Under Shock–Degradation by Xiaojun Liu, Ziwen Wu, Yiping Yuan, Wenlei Sun, Jianxiong Gao

“…A Gumbel–Clayton–Frank mixed Copula with a multi-layer nested algorithm quantifies failure correlations, with correlation parameters estimated via the RSS principle and genetic algorithms. …”
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Underwater Low-Frequency Magnetic Field Detection Based on <i>Rao</i>’s Sliding Threshold Method by Yi Li, Jiawei Zhang

“…Even at lower SNRs (−30 dB), the <i>Rao</i> detector still maintains a certain detection rate, while the detection rate of energy detectors rapidly drops to zero. …”
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Action-Oriented Deep Reinforcement Learning Method for Precast Concrete Component Production Scheduling by Rongzheng Yang, Shuangshuang Xu, Hao Li, Hao Zhu, Hongyu Zhao, Xiangyu Wang

“…The experimental results demonstrate that AO-DRL outperforms traditional rule-based methods and heuristic algorithms while exhibiting strong generalization capabilities.…”
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Bioinformatics-based analysis of fatty acid metabolic reprogramming in hepatocellular carcinoma: cellular heterogeneity, therapeutic targets, and drug discovery by Yingying Guo, Run Shi, Yu Xu, William C. Cho, Jun Yang, You Yeon Choi, Jing Sun, Yan Ma, Olga Pozharitskaya, Alexander Shikov, Hongliang Li, Minglun Li, Zhenpeng Qiu, Woong Mo Yang, Pierre Duez, Hongxi Xu, Xuanbin Wang

“…Bioinformatics analysis using single-cell sequencing, a non-negative matrix factorization (NMF) algorithm, and survival analyses were used to investigate FA metabolism reprogramming in HCC patients. …”
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Real-time urban regional route planning model for connected vehicles based on V2X communication by Pangwei Wang, Hui Deng, Juan Zhang, Mingfang Zhang

“…Second, according to the topology structure of the current regional road network, all predicted routes are listed based on the Dijkstra algorithm. Third, the predicted travel time of each alternative route is calculated, while the predicted route with the least travel time is selected as the optimal route. …”
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Chinese National Condition Based Power Dispatching Optimization in Microgrids by Gang Chen, Jian-Ming Wang, Xiao-Dong Yuan, Liang Chen, Lu-Jia Zhao, Yu-Ling He

“…This paper proposed a study on the power dispatching optimization in the microgrid aiming at Chinese national condition based on PSO algorithm. The whole work is on the basis of the weighted factor variation of the objective function due to different weather conditions. …”
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Digital technology and service tradability: evidence from patent innovations and knowledge utilization by LEI WANG, Yihan Chen, Thomas Ramsey, Geoffrey Hewings

“…Information industry patents with low relevance to digital technologies struggle to improve services tradability, while among those with high relevance, data and algorithm patents are more effective than computing power patents in enhancing service tradability. …”
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‘It can also be a really positive place’: co-research on young people’s health information literacy practices in social media by Anna-Maija Multas, Meri Kulmala

“…The construction of a positive social media bubble, involving, often algorithm-mediated information practices like seeking positive content and avoiding the negative, and creating supportive content emphasise the adaptability of youth health information literacies. …”
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Enhancing Arabic handwritten word recognition: a CNN-BiLSTM-CTC architecture with attention mechanism and adaptive augmentation by Bounour Imane, Ammour Alae, Khaissidi Ghizlane, Mostafa Mrabti

“…To address the issue of imbalanced data in the IFN/ENIT dataset, an adaptive data augmentation algorithm is proposed, focusing on underrepresented characters and words. …”
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Self-Adaptive Sampling Rate to Improve Network Lifetime using Watchdog Sensor and Context Recognition in Wireless Body Sensor Networks by Hamid Mehdi, Houman Zarrabi, Ahmad Khadem Zadeh, AmirMasoud Rahmani

“…In addition, our methods allow on average 75% improvement in overhead data reduction while maintaining more than 90% data integrity.…”
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An intelligent humidity sensing system for human behavior recognition by Huabin Yang, Qiming Guo, Guidong Chen, Yuefang Zhao, Meng Shi, Na Zhou, Chengjun Huang, Haiyang Mao

“…With the assistance of a machine learning algorithm, a behavior recognition system based on the humidity sensor has been constructed, enabling behavior states to be classified and identified with an accuracy of up to 96.2%. …”
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A Longitudinal Multimodal Dataset of Type 1 Diabetes by Ashwaq Alsuhaymi, Ahmad Bilal, Daniel Gasca García, Rujiravee Kongdee, Nicole Lubasinski, Hood Thabit, Paul W. Nutter, Simon Harper

“…Abstract People living with Type 1 Diabetes (PwT1D) must continuously monitor blood glucose levels and make critical clinical and safety-related decisions multiple times a day to maintain glycaemic control within recommended ranges. While significant efforts have been made to develop algorithms that assist PwT1D in managing blood glucose more effectively, access to automated insulin delivery (AID) systems remains highly variable across the world. …”
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High-Speed Outlier Removal Filter for LiDAR Sensor Point Cloud Data by Yeun-Sub Byun, Rag-Gyo Jeong

“…Moreover, the superiority of the proposed algorithm was demonstrated by evaluating its noise removal and original signal preservation performance under simulated noise conditions with varying noise ratios on roads with multiple vehicles, and comparing the results with those of existing methods. …”
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Medical irradiation risk assessment based on the data of radiation-hygienic passportization in the regions of the Russian Federation by V. Ju. Golikov

“…The article suggests the algorithm of effective doses values correcting factors assessment for consideration of dependence of radiogenic cancer risk factors on age and sex. …”
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Online Calibration of Inertial Sensors Based on Error Backpropagation by Vojtech Simak, Jan Andel, Dusan Nemec, Juraj Kekelak

“…We performed data fusion using an extended Kalman filter (EKF) and calibrated the input sensors through error backpropagation. The algorithm thus calibrates the INS sensors while the GNSS receiver signal is good, and after a GNSS failure, for example in tunnels, the position is predicted only by low-cost inertial sensors. …”
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Methodology for the Development of a Standard Operating Procedure for Reprocessing Flexible Endoscope, Taking into Account the Epidemiological Risks by O. P. Chernyavskaya, N. A. Kononenko, K. N. Kabakova, N. M. Obolskaya

“…Moreover, The main courses were defined, which should be followed by health-care workers while developing of SOP in a healthcare organization.Conclusions. …”
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QuantumGS-Box—A Key-Dependent GA and QRNG-Based S-Box for High-Speed Cloud-Based Storage Encryption by Anish Saini, Athanasios Tsokanos, Raimund Kirner

“…In this paper, we propose the QuantumGS-box, which is a dynamic S-box for high-speed cloud-based storage encryption generated by bit shuffling with a genetic algorithm and a quantum random number generator (QRNG). …”
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Quantum Perceptron in Predicting the Number of Visitors to E-Commerce Websites in Indonesian by Solikhun Solikhun, Dinda Carissa Arishandy, Ela Roza Batubara, Poningsih

“…The research results show that the Quantum Perceptron algorithm can make predictions very well compared to the classical perceptron, proven by the Quantum Perceptron having a perfect accuracy of 100% with a total of 2 epochs while the classical perceptron has 100% accuracy with a total of 10 epochs. …”
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A novel LSTPA methodology for managing energy in electrical/thermal microgrids through CHP, battery resources, thermal storage, and demand-side strategies by Elmira Akhavan Maroofi, Mahmoud Samiei Moghaddam, Azita Azarfar, Reza Davarzani, Mojtaba Vahedi

“…The Large-Scale Two-Population Algorithm (LSTPA) is employed to solve the problem, with the IEEE 69-bus network as a case study. …”
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