QoS Analysis for a Nonpreemptive Continuous Monitoring and Event-Driven WSN Protocol in Mobile Environments by Israel Leyva-Mayorga, Mario E. Rivero-Angeles, Chadwick Carreto-Arellano, Vicent Pla

“…This environment can be used to model a wide variety of physical phenomena, for which report delay and energy consumption are analyzed by means of Markov models. Then, mobile-only environments are studied for object tracking purposes. …”
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Normalization of Retinal Birefringence Scanning Signals by Boris I. Gramatikov, David L. Guyton

“…This is expected to lead to substantial improvement in algorithms and decision-making software, especially in ophthalmic screening instruments for pediatric applications, without added hardware cost. …”
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A Specific Time Lag Regulation of Soil Moisture Across Layers on Soil Salinization in the Northeast Tibetan Plateau Agroecosystem by Di Wei, Ziqi Zhang, Lin Yan, Jia Yu, Yun Zhang, Bo Wang

“…Moreover, soil water and salt also have a time lag effect compared with instant responses, meaning that the soil salinization caused by deep soil moisture may require longer transport times. …”
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Monitoring of Directed Energy Deposition Laser Beam of Nickel-Based Superalloy via High-Speed Mid-Wave Infrared Coaxial Camera by Marco Mazzarisi, Andrea Angelastro, Sabina Luisa Campanelli, Vito Errico, Paolo Posa, Andrea Fusco, Teresa Colucci, Alexander John Edwards, Simona Corigliano

“…The stability of the deposition process on nickel-based superalloys was analyzed by means of MATLAB algorithms. Thus, the effect of open-loop and closed-loop monitoring with back control on laser power on the process conditions was assessed and quantified. …”
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Autonomous Driving Road Environment Recognition with Multiscale Object Detection by Jeny J.R.V., Divya Phulari, Varsha Kolanu, Mrunalini Anantha, Irfan S.K.M.

“…This study opens the door to a future in which self-driving cars navigate roadways with increased safety and efficiency by demonstrating the critical role that cutting-edge deep learning algorithms play in enabling precise perception and decision-making capabilities within autonomous driving systems.…”
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Human-machine co-adaptation to automated insulin delivery: a randomised clinical trial using digital twin technology by Boris P. Kovatchev, Patricio Colmegna, Jacopo Pavan, Jenny L. Diaz Castañeda, Maria F. Villa-Tamayo, Chaitanya L. K. Koravi, Giulio Santini, Carlene Alix, Meaghan Stumpf, Sue A. Brown

“…Abstract Most automated insulin delivery (AID) algorithms do not adapt to the changing physiology of their users, and none provide interactive means for user adaptation to the actions of AID. …”
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De Novo donor-specific anti-HLA antibody risk stratification in kidney transplantation using a combination of B cell and T cell molecular mismatch assessment by Elaine Chou-Wu, Matthias Niemann, Danny Youngs, Idoia Gimferrer

“…As humoral responses in transplantation are elicited targeting non-self-epitopes on donor HLA proteins, assessing HLA mismatches at the molecular level provides a refined means for immunological risk stratification.MethodsIn the present study, we utilized three HLA molecular mismatch assessment algorithms, Snow, HLAMatchmaker, and PIRCHE-II, to evaluate the independent and synergistic association of B cell and T cell epitope mismatches with dnDSA development in a cohort of 843 kidney transplant recipients.ResultsOur results demonstrated that B cell and T cell epitope mismatches at HLA Class I and DRB1/DQB1 loci are remarkably increased in dnDSA-positive recipients, even after normalization by allele mismatch numbers in individual study subjects. …”
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Computer-economical optimization method for solving inverse problems of determining electrophysical properties of objects in eddy current structroscopy by V. Ya. Halchenko, R. V. Trembovetska, V. V. Tychkov

“…Registration of changes in electrophysical properties by means of eddy current testing allows for prompt adoption of effective management decisions regarding controlled processes. …”
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Investigation of the Regularities of the Influence of Meteorological Factors on Avalanches in Eastern Kazakhstan by Marzhan Rakhymberdina, Natalya Denissova, Yerkebulan Bekishev, Gulzhan Daumova, Milan Konečný, Zhanna Assylkhanova, Azamat Kapasov

“…Descriptive statistics, correlation analysis, principal component analysis (PCA), as well as K-means clustering and DBSCAN algorithms, were used for the analysis. …”
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System aspects of management technology for scientific and educational services by A. A. Zatsarinnyy, A. P. Shabanov

“…National interests should be implemented by means of strategic priorities in the various sectors of the economy, in the financial sphere - the timely implementation of government programs. …”
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Entry point of machine learning in axial spondyloarthritis by Tiantian Sun, Qing Yu, Yuening Chen, Hongxiao Liu, Xinning Qu

“…Furthermore, the high heterogeneity of axSpA, its complex pathogenesis and the lack of specific drugs means that traditional classification standards and treatment guidelines struggle to meet the demands of personalised treatment. …”
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Intelligent Full-Digital Technology and Its Applications in Power Plant by Wenjian ZHANG, Geng LIANG, Gengda LI, Qingru CUI

“…., expand the paths and means of information acquisition and collection to increase the breadth of information, and conduct in-depth analysis, mining and reutilization of data information by introducing more intelligent calculation algorithms and analysis methods. …”
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Rheumatic diseases as a reason for emergency hospitalization by A. S. Povzun, V. I. Mazurov, E. V. Shchemeleva, K. A. Povzun, E. Yu. Kovalchuk, V. A. Kostenko

“…The study of pain in the projection of joints occurrence is an important medical and social task, the solution of which makes it possible to determine the amount of necessary forces and means for the organization of medical care for these patients. …”
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Analysis of the capabilities of an information system for improving sleep quality based on biometric data analysis by M.S. Graf, A.V. Yakoniuk, D.V. Krant, I.I. Golovach

“…The system is able to function independently thanks to the use of machine learning algorithms, including LSTM for prediction, Kalman filter for data cleaning, Isolation Forest for anomaly detection, and K-means for clustering sleep patterns.…”
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EEG Functional Connection Analysis Based on the Weight Distribution of Convolutional Neural Network by Jinglong Wu, Peiwen Huang, Tiantian Liu, Go Ritsu, Duanduan Chen, Tianyi Yan

“…In this paper, we innovatively combined the functional connection with the deep learning algorithms and analysed the matrices after the weight distribution of each layer of the convolutional neural network (CNN) to obtain the connections that play a vital role in the classification. …”
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Roads Infrastructure Digital Twin: Advancing Situational Awareness Through Bandwidth-Aware 360° Video Streaming and Multi-View Clustering by Oussama El Marai, Sotirios Messinis, Nikolaos Doulamis, Tarik Taleb, Jukka Manner

“…The proposed framework leverages the multi-view spectral clustering approach and the K-Means++ algorithms to ensure efficient clustering of vehicles based on their GPS coordinates. …”
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Advancing named entity recognition in interprofessional collaboration and education by Rui Zhang, Yifeng Shan, MengZhe Zhen

“…IntroductionNamed Entity Recognition (NER) plays a critical role in interprofessional collaboration (IPC) and education, providing a means to identify and classify domain-specific entities essential for efficient interdisciplinary communication and knowledge sharing. …”
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Scientific Workflow-Based Synthesis of Optimal Microgrid Configurations by Olga Edeleva, Alexei Edelev, Mikhail Voskoboinikov, Alexander Feoktistov

“…The modeling and optimization of the studied systems is performed by means of scientific workflows. Our results complement and develop known approaches to automate the modeling of multi-energy systems using their typical models and specially selected optimization algorithms corresponding to these models. …”
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Key Technologies for Intelligent Control of Heavy-Haul Trains Focusing on Safe and Efficient Operation by WANG Qingyuan, WEI Mi, HU Yunqing, WANG Jianhua, JIANG Fan, ZHANG Zhengfang, WANG Kaiyun

“…Finally, this paper analyzes new opportunities in the field of train control, incorporating emerging technologies such as data-driven approaches, artificial intelligence algorithms, and multi-source information fusion. Additionally, it discusses the establishment of coupled simulation platforms and evaluation systems as potential means for the effective analysis, evaluation, and optimization of operational safety for heavy-haul trains.…”
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On First-Principle Robot Building in Undergraduate Robotics Education in the Robotic System Levels Model by Bryan Van Scoy, Peter Jamieson, Veena Chidurala

“…However, robotics is inherently multi-disciplinary and requires knowledge of controls and automation, embedded systems, sensors, signal processing, algorithms, and artificial intelligence. This makes training the future robotics workforce a challenge. …”
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