Coal mining equipment lifecycle management system architecture and key technology by Yihui PANG, Jinglong BI, Pengzhe YUAN, Baofu ZHAO, Ziwei DING

“…The main influencing factors of coal mining equipment selection optimization design were analyzed, and a calculation method for comprehensive mining equipment selection optimization was studied. An optimization algorithm and software platform for comprehensive mining equipment selection were developed, and a method for constructing a series spectrum and coding system for coal mining equipment was proposed. …”
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Artificial Intellect Systems in Today’s Economic Environment by N. V. Barinova, V. R. Barinov

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Estimation of Lithium-Ion Battery SOC Based on IFFRLS-IMMUKF by Xianguang Zhao, Tao Wang, Li Li, Yanqing Cheng

“…It plays a significant role in determining driving range, ensuring operational safety, and extending the service life of battery energy storage systems. Accurate SOC estimation can ensure the safety and reliability of vehicles. …”
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LSTM-ANN-GA A HYBRID DEEP LEARNING MODEL FOR PREDICTIVE MAINTENANCE OF INDUSTRIAL EQUIPEMENT by Farouk Noumich, Abouchabaka Jaafar, Amrani Ayoub

“…The fusion of multiple algorithms can potentially enhance model performance. …”
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Investigation of an Optimized Linear Regression Model with Nonlinear Error Compensation for Tool Wear Prediction by Lihua Shen, Baorui Du, He Fan, Hailong Yang

“…To solve the problem of insufficient accuracy in tool wear process modeling and Remaining Useful Life (RUL) estimation, this study proposes a two-stage prediction method. …”
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The Possibility and Necessity of the Human-Centered AI in Legal Theory and Practice by A. V. Rezaev, N. D. Tregubova

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Research on Two-Stage Energy Storage Optimization Configurations of Rural Distributed Photovoltaic Clusters Considering the Local Consumption of New Energy by Yang Liu, Dawei Liu, Keyi Kang, Guanqing Wang, Yanzhao Rong, Weijun Wang, Siyu Liu

“…Taking a Chinese village as an example, the proposed model is optimized with an improved particle swarm optimization algorithm. Given different combinations with and without energy storage and demand response, comparative analyses are conducted on photovoltaic local consumption and the economic benefits of independent operators in various scenarios. …”
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Digital human rights: risks, challenges, and threats of global socio-political trans-formations by Sergey Volodenkov, Sergey Fedorchenko

“…The article pays attention to introducing artificial intelligence technologies and neural network algorithms into crucial spheres of social life. The authors analyze the potential for the formation of digital control regimes over population, the risks of implementing digital isolation projects, and the hybridization of political regimes that involve the merging of government institutions with technological corporations that possess digital technologies. …”
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Battery Charging Simulation of a Passenger Electric Vehicle from a Traction Voltage Inverter with an Integrated Charger by Evgeniy V. Khekert, Boris V. Malozyomov, Roman V. Klyuev, Nikita V. Martyushev, Vladimir Yu. Konyukhov, Vladislav V. Kukartsev, Oleslav A. Antamoshkin, Ilya S. Remezov

“…An original three-stage charging algorithm (3PT/PN) has been developed and implemented, which provides a sequential decrease in the charging current when the specified voltage and temperature levels of the battery module are reached. …”
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A Systematic Mapping Study on State Estimation Techniques for Lithium-Ion Batteries in Electric Vehicles by Carolina Tripp-Barba, José Alfonso Aguilar-Calderón, Luis Urquiza-Aguiar, Aníbal Zaldívar-Colado, Alan Ramírez-Noriega

“…RUL prediction sees advancements through deep learning techniques, especially LSTM and gated recurrent units (GRUs), improved using algorithms such as Harris Hawks Optimization (HHO) and Adaptive Levy Flight (ALF). …”
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Techno-economic analysis of a hybrid thermal desalination system integrated with a PVT collector by S. Rajesh, C. Chiranjeevi, Saboor Shaik, Pethurajan Vigneshwaran, Fayaz Hussain, C Ahamed Saleel, Asif Afzal

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Identification and validation of an explainable machine learning model for vascular depression diagnosis in the older adults: a multicenter cohort study by Ran Zhang, Tian Li, Fan Fan, Haoying He, Liuyi Lan, Dong Sun, Zhipeng Xu, Sisi Peng, Jing Cao, Juan Xu, Xiaoxiang Peng, Ming Lei, Hao Song, Junjian Zhang

“…Abstract Background Vascular depression (VaDep) is a prevalent affective disorder in older adults that significantly impacts functional status and quality of life. Early identification and intervention are crucial but largely insufficient in clinical practice due to inconspicuous depressive symptoms mostly, heterogeneous imaging manifestations, and the lack of definitive peripheral biomarkers. …”
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Research trends among new investigators at ISOQOL: a bibliometric analysis from 2019 to 2023 by Jae-Yung Kwon, Manraj N. Kaur, Ellen B. M. Elsman, Ava Mehdipour, Lori Suet Hang Lo, Ahmed M. Y. Osman, Sandrine Herbelet, Carrie-Anne Ng, Lotte van der Weijst, on behalf of the New Investigators Special Interest Group Members

“…Abstract Background New investigators (NI), encompassing graduate students, recent doctoral graduates, and early-career faculty, are instrumental in advancing quality of life (QoL) research through innovative methodologies and diverse perspectives. …”
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Leanness Computation: Small Values and Special Graph Classes by David Coudert, Samuel Coulomb, Guillaume Ducoffe

“…We obtain improved algorithms in some cases, and time complexity lower bounds under plausible hypotheses.…”
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Inelastic finite element analysis of circumferentially notched specimen by damage-coupled inelastic constitutive equation of P91 steel by Akihiro MOTOKI, Masayuki ARAI

“…Additionally, the creep-fatigue crack initiation and growth process obtained based on the non-localization algorithm were compared with the SEM observation results, thereby confirming that both the crack initiation and its propagation path simulated by the FE were consistent with the observed results.…”
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Some aspects of the implementation of the release of material values during the reform of state reserves by Yu.M. Bilokon, O.V. Storozh

“…The authors of the article, based on the results of the analysis of the current legislation, proposed an algorithm of managerial activity aimed at practical solving the issue of issuing material assets from the state material reserve, in the conditions of reforming the state reserve system, eliminating the State Reserve Agency, the temporary absence of an executive body that implements a policy in the field of state reserves by making managerial decisions by executive authorities.…”
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Crack Tracking in Small-Diameter Metal Pipe Using Controlled Motor Vibrations and Flexible Sensor by Md Rabiul Awal, Nurul Atiqah Tajulmar, Muhammad Syarifuddin Yahya, Nurafnida Afrizal, Wan Hafiza Wan Hassan, Nurul Adilah Abdul Latiff, Shakir Saat

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Learning control system of lifting machine motors by V. I. Zimovets, A. S. Chirva, O. I. Marishchenko

“…To increase the operational reliability and service life of a mine electric lifting machines the article offers an information and machine learning algorithm for extreme functional control systems with electric hyprnspherical classifier. …”
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VAS value set still has its own application value compare with TTO value set of EQ-5D-3L in Chinese population by Lin Zhuo, Siyuan Gao, Rui Jin, Lang Zhuo, Xiuying Wang

“…Abstract Objective To develop a Chinese visual analogue scale (VAS) value set for Europe Quality of Life Questionnaire (EQ-5D-3L) and compare it with the time trade-off (TTO) value set which was constructed based on the same sample. …”
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Machine learning opportunities to predict obstetric haemorrhages by Yu. S. Boldina, A. A. Ivshin

“…Here, we review the main stages of ML, the principles of algorithms action, and the prospects for using AI to predict OH in real-life clinical practice.…”
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