QoS Routing in Telecommunications Networks by N. I. Listopad, O. A. Lavshuk

“…With the transition to new generation networks, the issues of improving routing algorithms and protocols seem to be especially relevant. …”
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The Bright Decade of Ocean Salinity from Space by Roberto Sabia, Jacqueline Boutin, Nicolas Reul, Tong Lee, Simon H. Yueh

“…Finally, short-to-mid-term perspectives, indicating both the expected improvements in terms of algorithms and also looking at novel mission concepts (that will provide continuation of these measurements in the decade to come) have been described.…”
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Improving the continuous photogrammetric monitoring system by M. A. Núñez-Andrés, A. Prades-Valls

“…This system, consisting of three cameras, has since captured images that are sent to the server located at the UPC, where they are processed to detect movements in the rock massif over time. …”
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A new era in treatment of cardiac amyloidosis: an overview of the Congress of cardiology by I. E. Strelkova

“…In the recent past, possibilities of therapy for cardiac amyloidosis were limited by prescription of diuretics, mineralocorticoid receptor antagonists and anticoagulants, since other drugs are not tolerated well by patients or are tolerated in minimal doses. …”
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Wearable sensing in eating episode monitoring: an updated systematic review protocol by Jiaying Zhou, Mingzhu Cai, Mayue Shi

“…Studies that focus solely on the development of algorithms or applications for these sensors will be excluded. …”
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Historical Reconstruction of Astronaut Cancer Risk: Context for Recent Solar Minima by Tony C. Slaba

“…Using the most up‐to‐date models for characterizing the ambient GCR environment, physical interactions with shielding, and cancer risk, it is found that projected risks vary by only ±10% over all historical minima since 1750. To provide additional context for this level of variation, two different nuclear interaction models are used within the radiation transport algorithms used to propagate GCR ions and secondary particles through shielding and tissue. …”
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Deep learning approaches for classification tasks in medical X-ray, MRI, and ultrasound images: a scoping review by Hafsa Laçi, Kozeta Sevrani, Sarfraz Iqbal

“…Deep learning is considered a good solution for image classification, segmentation, and transfer learning tasks since it offers a large number of algorithms to solve such complex problems. …”
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Internal Clock Drift Estimation in Computer Clusters by Hicham Marouani, Michel R. Dagenais

“…It also studies the typical network delay characteristics, since time synchronization algorithms rely on the exchange of network packets and are dependent on the symmetry of the delays. …”
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Predicting Absenteeism at Workplace Using Machine Learning and Network Analysis by Donggeun Kim, Jai Woo Lee

“…Absenteeism at work, possibly leading to productivity loss in business, is related to various psychological, social, and economic factors. Since predicting absenteeism is involved with complex associations of such factors, appropriately utilizing machine learning algorithms is required in the analysis. …”
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Identification of core therapeutic targets for Monkeypox virus and repurposing potential of drugs: A WEB prediction approach. by Huaichuan Duan, Quanshan Shi, Xinru Yue, Zelan Zhang, Ling Liu, Yueteng Wang, Yujie Cao, Zuoxin Ou, Li Liang, Jianping Hu, Hubing Shi

“…A new round of monkeypox virus has emerged in the United Kingdom since July 2022 and rapidly swept the world. Currently, despite numerous research groups are studying this virus and seeking effective treatments, the information on the open reading frame, inhibitors, and potential targets of monkeypox has not been updated in time, and the comprehension of monkeypox target ligand interactions remains a key challenge. …”
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Distributed consensus problem with caching on federated learning framework by Xin Yan, Yiming Qin, Xiaodong Hu, Xiaoling Xiao

“…Federated learning framework facilitates more applications of deep learning algorithms on the existing network architectures, where the model parameters are aggregated in a centralized manner. …”
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History of the department of virology and molecular and biological methods of investigation of pediatric research and clinical center for infectious diseases by E. A. Murina, O. V. Goleva, Z. A. Osipova, A. L. Mukomolova

“…The primary goal of the department is to develop the methods and diagnostic algorithms for definite verification of infectious forms and the prognosis of the development of pathological process that allows determining the direction of further therapeutic approach to improve the disease outcome. …”
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Optimizing Photovoltaic Power Prediction Using Computational Methods and Artificial Neural Networks by Cempaka Amalin Mahadzir, Ahmad Fateh Mohamad Nor, Siti Amely Jumaat, Noor Syahirah Ahmad Safawi

“…The aim of this research is to develop ANN algorithms that anticipate solar power output and enhance the structure of them by incorporating the derating factor due to dirt (kdirt) into account. …”
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Immersive technologies as a component of the formation of professional competencies of students in the program "Industrial and Fire safety" by E. R. Abdulina

“…Some approaches to the formation of professional competencies through optimization of decision-making algorithms, the use of information technology, improving the presentation of information by modeling emergency situations of undergraduates of the 20.04.01 direction Technosphere safety are considered.Materials and methods. …”
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Neoclassical Solution of Transient Interaction of Plane Acoustic Waves with a Spherical Elastic Shell by Hanson Huang, Hans U. Mair

“…By utilizing modern algorithms and exploiting recent advances of computer capacities and floating point mathematics, sufficient terms of the inverse Laplace transform series solution can now be accurately computed. …”
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Knowing Your Users by Heart: A Critical Examination of the Scientific Research on Emotions Conducted by Social Media Platforms by Camille Alloing, Elsa Fortant, Julien Pierre, Fabien Richert, Rémi Palisser

“…Since their inception, social media platforms have continuously developed innovations and discourses centered on affective and emotional dimensions. …”
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Overcoming Data Scarcity in Roadside Thermal Imagery: A New Dataset and Weakly Supervised Incremental Learning Framework by Arnd Pettirsch, Alvaro Garcia-Hernandez

“…The dataset supports the development of self-supervised algorithms, and the learning framework allows efficient adaptation to new camera viewpoints and diverse environmental conditions without additional labelling. …”
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Autoinflammatory diseases: An immunologist’s view by A. Yu. Shcherbina

“…These patients should be followed up in specialized centers that perform treatments according to the international algorithms. Since the early diagnosis of primary immunodeficiencies and AISs is a key to their successful treatment; primary care physician’s awareness of these rare diseases is of the most importance.…”
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Determination of Pipe Diameters for Pressurized Irrigation Systems Using Linear Programming and Artificial Neural Networks by Ezgi Kurtulmuş, Ferhat Kurtulmuş, Hayrettin Kuşçu, Bilge Arslan, Ali Osman Demir

“…Different training algorithms, transfer functions, and hidden neuron numbers were tried to determine the best ANN model for each irrigation system. …”
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Dimensions management of traffic big data for short-term traffic prediction on suburban roadways by Arash Rasaizadi, Fateme Hafizi, Seyedehsan Seyedabrishami

“…Abstract Since intelligent systems were developed to collect traffic data, this data can be collected at high volume, velocity, and variety, resulting in big traffic data. …”
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