Multi-Maneuvering Target Tracking Based on a Gaussian Process by Ziwen Zhao, Hui Chen

“…However, these assumptions may be biased in actual application and so lead to degradation in tracking performance. …”
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Linguistic Corpus of Digital Lexical Units Related to Socio-Political Protest Movements by Alexander V. Alekseev, Alexander V. Belyaev

“…The corpus algorithm can be applied to various operating systems…”
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Dubovsky’s Class of Mathematical Models for Describing Economic Cycles with Heredity Effects by Danil Makarov, Roman Parovik, Zafar Rakhmonov

“…Dubovsky are further studied numerically using the Adams–Bashforth–Moulton algorithm. Using a numerical algorithm, oscillograms and phase trajectories were constructed for various values and model parameters. …”
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Depth-Supervised and Curvature-Optimized 3D Gaussian Splatting for Scene Reconstruction by Antong Li, Lutao Wang, Ziwei Wang

“…The Adaptive Density Control (ADC) algorithm plays a pivotal role in 3DGS, utilizing an image gradient-based average gradient threshold to regulate the splitting and cloning of Gaussians and optimize the density of Gaussian distributions. …”
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Adaptive MCS selection and resource planning for energy-efficient communication in LTE-M based IoT sensing platform. by Nhu-Ngoc Dao, Minho Park, Joongheon Kim, Sungrae Cho

“…Focusing on this circumstance, we propose a novel adaptive modulation and coding selection (AMCS) algorithm to address the energy consumption problem in the LTE-M based IoT-sensing platform. …”
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Arithmetic optimization based MPPT for photovoltaic systems operating under nonuniform situations. by Maheshwari Adaikkappan, Nageswari Sathiyamoorthy, Durga Devi Ravichandran, Karthikeyan Balasubramani, Sundararaju Karuppannan, Ramasamy Palanisamy, Zakaria M S Elbarbary, Saad F Al-Gahtani, Ahmed I Omar

“…Photovoltaic (PV) modules may encounter nonuniform situations that reduce their useable power volume, causing ineffective maximum power point tracking (MPPT). …”
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Computational prediction and experimental verification of new MAP kinase docking sites and substrates including Gli transcription factors. by Thomas C Whisenant, David T Ho, Ryan W Benz, Jeffrey S Rogers, Robyn M Kaake, Elizabeth A Gordon, Lan Huang, Pierre Baldi, Lee Bardwell

“…Here we have developed a hybrid computational search algorithm that combines machine learning and expert knowledge to identify kinase docking sites, and used this algorithm to search the human genome for novel MAP kinase substrates and regulators focused on the JNK family of MAP kinases. …”
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Precast concrete component yard layout optimization considering safety and efficiency by Yekun Tan, Dehu Yu, Shujuan Yang, Tongtong Gai, Chunhui Wang

“…Moreover, the surplus rectangle algorithm is used to calculate the yard sizes, which are input into the model in alternative ways. …”
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Research on intelligent routing with VAE-GAN in the internet of body. by Song Qian, Tianping Zhang, Siping Hu

“…However, when other devices access the Internet of Body on a large scale, there will be load imbalance caused by the difficulty in selecting the optimal route, which will affect the overall throughput and may even fail to transmit and endanger life. The traditional artificial intelligence routing algorithm cannot deal with the low model prediction accuracy and poor generalization ability caused by large noise and small data volume. …”
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A scalable distributed pipeline for reference-free variants calling by Lorenzo Di Rocco, Umberto Ferraro Petrillo

“…However, the timely analysis of large-scale sequencing data may be beyond the capabilities of single workstations, requiring alternative computational approaches. …”
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Evaluating the utility of public-facing jail registers to inform public health practice, Washington state 2023 by Steven Erly, Richard J. Lechtenberg, Vasiliki Georgoulas-Sherry, Anna Berzkalns, Allison Moore, Julia C. Dombrowski, Jennifer E. Balkus

“…Automated collection of these lists may be one way for public health to access this information. …”
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Principal Component Analysis for Weighted Data in the Procedure of Multidimensional Statistical Forecasting by V. V. Nikitin, D. V. Bobin

“…Its state is described by a system of specified indicators. Among them, some may be a linear combination of other indicators. …”
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An ImmunoSignature test distinguishes Trypanosoma cruzi, hepatitis B, hepatitis C and West Nile virus seropositivity among asymptomatic blood donors. by Michael Rowe, Jonathan Melnick, Robert Gerwien, Joseph B Legutki, Jessica Pfeilsticker, Theodore M Tarasow, Kathryn F Sykes

“…Signals were used to train a single algorithm that distinguished all four disease states. …”
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Research on strategies for enhancing drug knowledge dissemination on Chinese social media WeChat public accounts based on text mining technology by Xihui Yu, Xiaotong Chen, Xia Yan, Xuejun Wu, Yizhi Zhang, Xiajiong Luo, Weihao Ma, Hongbo Fu, Yaofeng Zhang

“…The public’s interest in topics changed from drug side effects to practical drug usage issues, as seen by the keyword time series graph.ConclusionPharmaceutical professionals may more effectively discover hot themes in the industry by combining the TF-IDF algorithm with VOSviewer visualization analysis and LDA and BERTopic in the text mining. …”
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Clinical Utility of a Coronary Heart Disease Risk Prediction Gene Score in UK Healthy Middle Aged Men and in the Pakistani Population. by Katherine E Beaney, Jackie A Cooper, Saleem Ullah Shahid, Waqas Ahmed, Raheel Qamar, Fotios Drenos, Martin A Crockard, Steve E Humphries

“…<h4>Background</h4>Numerous risk prediction algorithms based on conventional risk factors for Coronary Heart Disease (CHD) are available but provide only modest discrimination. …”
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Outcome prediction of the measles vaccination in healthcare employees by A. A. Ereshchenko, O. A. Gusyakova, N. B. Migacheva, F. N. Gilmiyarova, A. V. Lyamin

“…This algorithm is primarily focused on search for the persons who have not responded to measles vaccination, including subjects with probable immunodeficiency conditions. …”
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Exploring the association between vitamin D levels and dyslipidemia risk: insights from machine learning and generalized additive models by Yin Tianxiu, Zhang Chen, Liu Yuxiang, Zhu Xiaoyue, Hu Jingyao, Guo Haijian, Wang Bei

“…Recent research suggests that vitamin D may influence lipid metabolism, specifically the levels of circulating lipids in the blood. …”
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Energy Efficiency Maximization in RISs-Assisted UAVs-Based Edge Computing Network Using Deep Reinforcement Learning by Chuanwen Luo, Jian Zhang, Jianxiong Guo, Yi Hong, Zhibo Chen, Shuyang Gu

“…Specially, the UTRP-DDPG algorithm improves the UAV energy efficiency by at least 2% compared to DQN algorithm.…”
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Determining Signatures for Energy Mix Produced by Photovoltaic Systems and Wind Turbines by Branislav Šarkan, Jacek Caban, Arkadiusz Małek, Andrzej Marciniak

“…Knowing which class each data record belongs to, the frequencies of staying in each state were determined. The computational algorithm presented in the article may have great practical application in balancing the power grid powered by energy produced from renewable sources.…”
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A classification modeling approach for determining metabolite signatures in osteoarthritis. by Jason S Rockel, Weidong Zhang, Konstantin Shestopaloff, Sergei Likhodii, Guang Sun, Andrew Furey, Edward Randell, Kala Sundararajan, Rajiv Gandhi, Guangju Zhai, Mohit Kapoor, Mohit Kapoor

“…Principal component regression with logistic regression was the most consistent multivariate classification algorithm tested. Using this algorithm, classification of older males had fair power to classify OA patients from healthy individuals. …”
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