Recursive State and Random Fault Estimation for Linear Discrete Systems under Dynamic Event-Based Mechanism and Missing Measurements by Xuegang Tian, Shaoying Wang

“…It is clear that the developed algorithms are dependent on the threshold parameters and the upper bound together with the probabilities of missing measurements and ROFs. …”
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Data Mining Techniques for Wireless Sensor Networks: A Survey by Azhar Mahmood, Ke Shi, Shaheen Khatoon, Mi Xiao

“…This work provides an overview of how traditional data mining algorithms are revised and improved to achieve good performance in a wireless sensor network environment. …”
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Use of Levosimendan in Cardiac Anesthesiology by L. A. Krichevsky, V. Yu. Rybakov, O. G. Guseva, I. E. Kharlamova, A. Yu. Lyamin

“…The authors consider the main aspects of the rational use of the novel inotropic drug levosimendan in cardiosurgical patients on the basis of the results of the trials described in the literature and on their own findings in this review. …”
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Monocular vision guided deep reinforcement learning UAV systems with representation learning perception by Zhihan Xue, Tad Gonsalves

“…In recent years, numerous studies have applied deep reinforcement learning (DRL) algorithms to vision-guided unmanned aerial systems. …”
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Cooperative Localization for GNSS-Denied Subterranean Navigation: A UAV–UGV Team Approach by David Akhihiero, Uthman Olawoye, Shounak Das, Jason Gross

“…The performance of the presented algorithms is analyzed via experiments conducted in a motion-capture facility.…”
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Business Model: Economic Value and Sociocultural Impact by G. D. Paksiutov

“…The impact of Netflix on the practice of consuming films in the digital age has been considered, noting that the automatic system of recommendations used by the service and algorithms of search optimization can pose a threat to the free choice of consumers. …”
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A network intrusion detection method designed for few-shot scenarios by Weichen HU, Congyuan XU, Yong ZHAN, Guanghui CHEN, Siqing LIU, Zhiqiang WANG, Xiaolin WANG

“…Existing intrusion detection techniques often require numerous malicious samples for model training.However, in real-world scenarios, only a small number of intrusion traffic samples can be obtained, which belong to few-shot scenarios.To address this challenge, a network intrusion detection method designed for few-shot scenarios was proposed.The method comprised two main parts: a packet sampling module and a meta-learning module.The packet sampling module was used for filtering, segmenting, and recombining raw network data, while the meta-learning module was used for feature extraction and result classification.Experimental results based on three few-shot datasets constructed from real network traffic data sources show that the method exhibits good applicability and fast convergence and effectively reduces the occurrence of outliers.In the case of 10 training samples, the maximum achievable detection rate is 99.29%, while the accuracy rate can reach a maximum of 97.93%.These findings demonstrate a noticeable improvement of 0.12% and 0.37% respectively, in comparison to existing algorithms.…”
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ICARUS at the Short-Baseline Neutrino Program: First Results by Maria Artero Pons

“…In 2021, ICARUS started its new operation at Fermilab, collecting a substantial amount of neutrino events from the Booster Neutrino Beam (BNB) and the neutrinos at the Main Injector (NuMI) beam off-axis. These were used to test the ICARUS event selection, reconstruction, and analysis algorithms. …”
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Comparative Analysis of Diabetes Prediction Models Using the Pima Indian Diabetes Database by Zhao Yize

“…This study provides an in-depth review and comparison of diabetes prediction models using the Pima Indian Diabetes database. The main aim is to contrast and evaluate the performance of two distinct predictive models: K-means clustering and Random Forest. …”
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Determination of geometrical parameters of the diamond gear hones for the finishing of gears by Michael Storchak, Yuriy Danylchenko

“…To determine these parameters, a complex of software-implemented algorithms for their calculation has been developed. …”
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Traditional and Perspective Methods of Corporate Non-Performing Loans Rejustment (Liquidation) by V. M. Poletaeva, A. M. Smulov

“…In addition, the manuscript presents algorithms of mentioned perspective methods implementation. …”
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Technics and Contingency by Alan Díaz Alva

“…I will underscore the tensions between their proposals, trying to identify the main divergences within their speculative ontologies of computation. …”
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An SVDD-based post-processing approach for vibration risk assessment of the hydro-turbine-generator in a large hydropower station by Jinliang Zhang, Fengwei Yang, Chao Liang, Yuansheng Zhang, Yongchang Li

“…Recently, the abnormal vibration of hydro-turbine-generator in a large hydropower station occurred and the main influencing factors of vibration are analyzed based on the prototype data and engineering experience. …”
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Hypertension: smoking or quit. Clinical difficulties by N. V. Korneeva, E. S. Gavrilov

“…Smoking cessation is the main effective measure of primary and secondary prevention among smoking patients with HTN. …”
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DeepBase: A Deep Learning-based Daily Baseflow Dataset across the United States by Parnian Ghaneei, Hamid Moradkhani

“…This study focuses on estimating baseflow using deep learning algorithms that enhance the estimation capabilities in both gauged and ungauged basins. …”
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Non-classical mnemonic actors and new commemorative practices in the network space by I. S. Soldatenko

“…The article consists of an introduction, description of the main research results, and conclusion. The article concludes about the influence of algorithms of popular platforms on the formation of collective memory. …”
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Features of insulin therapy in combination of long-term type 1 diabetes mellitus and metabolic syndrome by M. D. Samsonova, N. P. Trubitsyna, A. S. Severina, M. S. Shamkhalova

“…Despite four options for algorithms and choice of insulin therapy, the difficult task of switching to the insulin resistance (IR) scheme due to the impossibility of using drugs from the biguanide and glitazone group, since their use in T1DM is not provided for by the instructions. …”
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Prepare Linear Distributions with Quantum Arithmetic Units by Junxu Li

“…There are three main steps. Firstly, Hadamard gates are applied to the two input terms, preparing them at quantum states corresponding to uniform distribution. …”
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Comparative Assessment of Neural Radiance Fields and 3D Gaussian Splatting for Point Cloud Generation from UAV Imagery by Muhammed Enes Atik

“…Point clouds continue to be the main data source in 3D modeling studies with unmanned aerial vehicle (UAV) images. …”
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Inflammation and Cardiovascular Disease: The Future by Natalie Arnold, Katharina Lechner, Christoph Waldeyer, Michael D Shapiro, Wolfgang Koenig

“…Extending conventional guideline-based clinical risk stratification algorithms by adding biomarkers of inflammation may refine phenotypic screening, improve risk stratification and guide treatment eligibility in cardiovascular disease prevention. …”
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