Integrated Method of Future Capacity and RUL Prediction for Lithium‐Ion Batteries Based on CEEMD‐Transformer‐LSTM Model by Wangyang Hu, Chaolong Zhang, Laijin Luo, Shanhe Jiang

“…ABSTRACT Accurately predict the remaining useful life (RUL) of lithium‐ion batteries for energy storage is of critical significance to ensure the safety and reliability of electric vehicles, which can offer efficient early warning signals in a timely manner. …”
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INTELLIGENT CONTROL SYSTEM OF CHEMICAL-TECHNOLOGICAL PROCESSES OF STRUCTURING OF MULTICOMPONENT ELASTOMER COMPOSITES BASED ON THE PRODUCTION MODEL by A. S. Kuznetsov, V. F. Kornushko

“…A systemic analysis of the life cycle of products from elastomeric materials was carried out. …”
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Automated diabetes detection prediction system based on patients’ medical data by S.V. Pidopryhora, Yu.V. Bogoyavlenska

“…Early and accurate diagnosis allows effective disease management, significantly improves patients' quality of life, and reduces the financial burden on the healthcare system. …”
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AI augmented edge and fog computing for Internet of Health Things (IoHT) by Deepika Rajagopal, Pradeep Kumar Thimma Subramanian

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SYSTEMIC VASCULITIS: NOVELTY IN CLASSIFICATION, DIAGNOSIS, AND TREATMENT by N. A. Shostak, A. A. Klimenko

“…The timely diagnosis and treatment at the onset of SV is the basis for quality of life and survival improvement.…”
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A Comprehensive Review of the Main Heavyweight and Lightweight SDLC for Big Data Analytics Systems (BDAS) by David Alejandro Montoya-Murillo, Sergio Galvan-Cruz, Manuel Mora, Estela Lizbeth Munoz Andrade

“…However, despite the advanced technological progress – i.e. on BDAS algorithms, languages and platforms-, their development has been mainly through uncomplete ad-hoc or old rigorous heavyweight System Development Life Cycles (SDLC). …”
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Using Machine Learning to Predict Outcomes Following Thoracic and Complex Endovascular Aortic Aneurysm Repair by Ben Li, Naomi Eisenberg, Derek Beaton, Douglas S. Lee, Badr Aljabri, Leen Al‐Omran, Duminda N. Wijeysundera, Ori D. Rotstein, Thomas F. Lindsay, Charles de Mestral, Muhammad Mamdani, Graham Roche‐Nagle, Mohammed Al‐Omran

“…We developed machine learning algorithms to predict outcomes following TEVAR and complex EVAR. …”
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Vestibular schwannoma combined with hydrocephalus treatment tactic by V.O. Fedirko, M.V. Yehorov, V.V. Shust

“…All patients were distributed in subgroups depending on the severity of symptoms of both hydrocephalus and VS, general somatic condition according to the ASA scale and age, and the most reasonable treatment tactics aimed at preserving the quality of life was used. Results. Depending on the type of HC and treatment algorithm patients were divided into 6 groups: I included 37 patients with VS and occlusive or open HC with increased pressure (OOHCIP) and papilledema. …”
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Development of a mathematical model of dependence of specific volumetric electrical resistance of SIW-4 insulation on factors affecting its reliability by Denisov I. V.

“…It also opens up the possibility of developing the second stage of the study, associated with the construction of an algorithm for the method of predictive assessment of the residual life of the insulation material of the conductor under study.…”
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Multimodal data-based human motion intention prediction using adaptive hybrid deep learning network for movement challenged person by Mustufa Haider Abidi

“…Abstract Recently, social demands for a good quality of life have increased among the elderly and disabled people. …”
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Managing Cyber-Security of in-Bank Ecosystem in Conditions of Digitalization by A. D. Bezdelov, E. V. Loginova

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Social Well-being of the Megalopolis Population as an Integral Indicator by P. P. Deriugin, L. A. Lebedintseva, O. V. Yarmak, Shi Yi, E. A. Kamyshina

“…Secondly, satisfaction with life is diagnosed by referring to such parameters as attitude to the region of residence; satisfaction with life in general. …”
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Clusters of patients with chronic heart failure based on the analysis of body composition parameters and palliative status by V. I. Shevtsova, A. A. Pashkova, A. N. Shevtsov, Yu. V. Burenkov

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Optimization of the prognosis of postoperative complications in patients with breast cancer by L. A. Trusova

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A Novel Model for Noninvasive Haemoglobin Detection Based on Visibility Network and Clustering Network for Multi-Wavelength PPG Signals by Lei Liu, Ziyi Wang, Xiaohan Zhang, Yan Zhuang, Yongbo Liang

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ML-RASPF: A Machine Learning-Based Rate-Adaptive Framework for Dynamic Resource Allocation in Smart Healthcare IoT by Wajid Rafique

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Fire Video Recognition Based on Local and Global Adaptive Enhancement by Jian Ding, Yun Yi, Tinghua Wang, Tao Tian

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Robust Optimality and Duality for Nonsmooth Multiobjective Programming Problems with Vanishing Constraints Under Data Uncertainty by Balendu Bhooshan Upadhyay, Shubham Kumar Singh, I. M. Stancu-Minasian, Andreea Mădălina Rusu-Stancu

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The Fine Feature Extraction and Attention Re-Embedding Model Based on the Swin Transformer for Pavement Damage Classification by Shizheng Zhang, Kunpeng Wang, Zhihao Liu, Min Huang, Sheng Huang

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Effective Detection of Malicious Uniform Resource Locator (URLs) Using Deep-Learning Techniques by Yirga Yayeh Munaye, Aneas Bekele Workneh, Yenework Belayneh Chekol, Atinkut Molla Mekonen

“…The rapid growth of internet usage in daily life has led to a significant increase in cyber threats, with malicious URLs serving as a common cybercrime. …”
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