An Improved Adaptive Car-Following Model Based on the Unscented Kalman Filter for Vehicle Platoons’ Speed Control by Caixia Huang, Wu Tang, Jiande Wang, Zhiyong Zhang

“…This study proposes an adaptive car-following model based on the unscented Kalman filter algorithm to enable coordinated speed control in vehicle platoons and to address key limitations present in conventional car-following models. …”
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Choosing Method for Qualitative and Quantitative Risk Analysis for Energy Enterprises by E. I. Tymul

“…The approaches of various authors to the algorithm of qualitative risk analysis have been considered in the paper. …”
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Using a Bodily Weight-Fat Scale for Cuffless Blood Pressure Measurement Based on the Edge Computing System by Shing-Hong Liu, Bo-Yan Wu, Xin Zhu, Chiun-Li Chin

“…Then, we proposed a flowchart to extract the parameter, pulse transit time (PTT), within each segment. The feature included two calibration-based parameters and one calibration-free parameter was used to estimate BP with XGBoost. …”
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Evaluation of Baby Leaf Products Using Hyperspectral Imaging Techniques by Antonietta Eliana Barrasso, Claudio Perone, Roberto Romaniello

“…The transition to efficient production requires innovative water control techniques to maximize irrigation efficiency and minimize waste. …”
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Maritime decarbonization through machine learning: A critical systematic review of fuel and power prediction models by Son Nguyen, Matthieu Gadel, Ke Wang, Jing Li, Xiaocai Zhang, Siang-Ching Kong, Xiuju Fu, Zheng Qin

“…This study systematically and critically reviews the application of machine learning (ML) in fuel and power estimation and prediction (FEP) in the last decade (2013–2024) regarding the two cores of ML models, including aspects of data and the applied learning algorithms. …”
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An Improved Velocity-Aided Method for Smartphone Single-Frequency Code Positioning in Real-World Driving Scenarios by Zhaowei Han, Xiaoming Wang, Jinglei Zhang, Shiji Xin, Qiuying Huang, Sizhe Shen

“…Additionally, using more refined observation models and appropriate parameter estimation algorithms led to a slight 6% improvement in velocity performance. …”
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Concerning the Use of Indicators’ Marginal (Threshold) Values of the Russian Federation Economic Security by A. B. Vissarionov, R. R. Gumerov

“…The advantage of this method is that the estimates are based on the actual reported values of the interrelated indicators, the evaluation criterion is the situation as a whole “as it is”. 2013 is proposed as a transitional period, 1995 as a crisis year. …”
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Integrated analysis of single-cell and bulk transcriptomic data reveals altered cellular composition and predictive cell types in ectopic endometriosis by Meihong Chen, Meihong Chen, Liqun Wang, Yuanting Chen, Ting Wang, Guanqun Jiang, Qi Chen, Qi Chen

“…A comprehensive investigation of the cellular classification and composition of endometriosis is essential for studying its diagnosis and treatment.MethodsThis study utilized the Gene Expression Omnibus (GEO) public database and referenced single-cell RNA sequencing (scRNA-seq) atlases. The CIBERSORTx algorithm was applied to perform deconvolution on the samples and estimate the proportions of endometrial cell subtypes. …”
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An Analysis of Arterial Pulse Wave Time Features and Pulse Wave Velocity Calculations Based on Radial Electrical Bioimpedance Waveforms in Patients Scheduled for Coronary Catheteri... by Kristina Lotamõis, Tiina Uuetoa, Andrei Krivošei, Paul Annus, Margus Metshein, Marek Rist, Sulev Margus, Mart Min, Gert Tamberg

“…Segmental or continuous recording of peripheral pulse waves can serve as a basis for calculating prognostic markers like pulse wave velocity (PWV) or include parameters such as pulse transit time (PTT) or pulse arrival time (PAT) for noninvasive blood pressure (BP) estimation, as well as potentially novel cardiovascular risk indicators. …”
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Modeling Burst Error Processes in ITU-T G.hnem-Based PLC Systems: Noisy Indoor Environment Analysis Using a Generative Semi-Hidden Markov Model by Akintunde Oluremi Iyiola, Theo G. Swart, Ayokunle Damilola Familua, Thokozani Shongwe

“…A comparative analysis of reference error sequences and SHMM simulations demonstrates the model’s ability to accurately replicate NB-PLC-specific error dynamics, including error clustering and state transitions. This research makes four key contributions: (1) the development of a robust experimental testbed for real-time burst error analysis in NB-PLC systems, (2) the creation of a comprehensive dataset that characterizes noise-induced disruptions in real-world indoor scenarios, (3) a theoretical exploration and practical application of SHMMs for modeling error sequences in NB-PLC channels, and (4) the validation of SHMMs and a modified Baum-Welch algorithm (BWA) for efficient modeling and parameter estimation of burst error processes. …”
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Patterns of changing surface climate variability from the Last Glacial Maximum to present in transient model simulations by E. Ziegler, E. Ziegler, N. Weitzel, J.-P. Baudouin, M.-L. Kapsch, U. Mikolajewicz, L. Gregoire, R. Ivanovic, P. J. Valdes, C. Wirths, K. Rehfeld, K. Rehfeld

“…Changes in the tails of distributions of climate variables and transition periods such as the Last Deglaciation remain largely unexplored.…”
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Immunogenic cell death-related genes as prognostic biomarkers and therapeutic insights in uterine corpus endometrial carcinoma: an integrative bioinformatics analysis by Tianfei Yi, Zhenglun Yang, Peng Shen, Yan Huang

“…The ICD score exhibited positive correlations with immune cell infiltration, as verified by ESTIMATE, xCell, TIMER, MCPcounter, EPIC, and IPS algorithms. …”
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Understanding thermalization in a non-Abelian gauge theory in terms of its soft modes by Sayak Guin, Harshit Pandey, Sayantan Sharma

“…We have implemented different algorithms to appropriately describe the dynamics of soft-modes for a wide range of temperatures and under non-equilibrium conditions. …”
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Fundamental Parameters for Totally Eclipsing Contact Binaries Observed by TESS by Xu Ding, KaiFan Ji, ZhiMing Song, XueFen Tian, JinLiang Wang, ChuanJun Wang, QiYuan Cheng, JianPing Xiong

“…By leveraging the relationship between orbital period and semimajor axis using the Random Sample Consensus algorithm, we estimated their absolute parameters. …”
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Genetic Variation Analysis of Four Local Varieties of Indonesian Black Rice (Oryza sativa L.) Based on Partially rbcL cpDNA Gene Sequence by Abdul Basith, Estri Laras Arumingtyas, Widodo Widodo

“…The frequency of informative parsimony sites was 1.43% with a nucleotide diversity (Pi) value of 42-10, the number of haplotypes was 5, and the total number of mutations and polymorphic sites was 14. The ratio between transition and transversion (ts/tv ratio k) for purine bases was 1.741 and pyrimidine was 3.571, with the estimated overall ratio between transition and transversion (R) of 1.31. …”
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Comprehensive analyses of telomerase component DKC1 and its association with clinical, molecular and immune landscapes in uterine corpus endometrial carcinoma by Chenxi Sun, Xu Liu, Tiantian Liu, Chenliu Fan, Yang Jiang, Binggen Li, Huiyang Yuan, Chengyun Zheng, Dawei Xu

“…Lower immune scores were observed in DKC1-high tumors as assessed by ESTIMATE algorithm. Tumor Immune Dysfunction and Exclusion (TIDE) analyses revealed robustly higher TIDE scores featured with T Cell exclusion in DKC1-high tumors, and consistently, the diminished trafficking of immune cells into tumor tissues and substantial declines in immune cell infiltration were shown in these tumors. …”
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Development and validation of a chronic kidney disease progression model using patient-level simulations by Mafalda Ramos, Laetitia Gerlier, Anastasia Uster, Louise Muttram, Dominik Steubl, Andrew H Frankel, Mark Lamotte

“…Risk equations and transition probabilities were primarily sourced from publications produced by large US and international CKD registries. …”
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Sustainable Management of Natural Resources at Disaggregated Levels with Insights from Landscape Dynamics by T V Ramachandra, Paras Negi, Tulika Mondal, Bharath Settur

“…The current study unveils actionable solutions for sustainable management of natural resource-rich regions by meticulously analyzing the nexus between rap-id development, LU modifications, and their subsequent environmental ramifications. LU transitions are quantified using temporal-spatial data acquired through space-borne sensors through supervised machine learning classifiers based on the non-parametric algorithm Random Forest (RF). …”
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Analysis and mitigation of greenhouse gases by replacing traditional energy with a hybrid energy system using battery optimization by Madhusudhanan Sampath, Amalorpava Mary Rajee Samuel, Yamuna Devi M.M, Senthil Murugan

“…The paper presents an improved Lyapunov optimisation (LO) algorithm to optimally estimate the number of photovoltaic panels and battery banks for enhanced energy management. …”
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Detection of Semidetached Eclipsing Binaries from TESS by Xu Ding, KaiFan Ji, QiYuan Cheng, ZhiMing Song, JinLiang Wang, XueFen Tian, ChuanJun Wang

“…Our two-model framework was then harmonized with the Markov Chain Monte Carlo algorithm, enabling precise and efficient light-curve fitting and parameter estimation. …”
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