A Novel Reactive Power Sharing Control Strategy for Shipboard Microgrids Based on Deep Reinforcement Learning by Wangyang Li, Hong Zhao, Jingwei Zhu, Tiankai Yang

“…Unlike traditional methods which may use static or heuristically adjusted VI parameters, the DQN-VI strategy employs deep reinforcement learning to dynamically optimize these parameters, enhancing the microgrid’s performance under varying conditions. …”
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Factors influencing livestock grazing in Pench Tiger Reserve, Maharashtra by P. N. Shukla, E. C. Rao, V. K. Mishra

“…Abstract Livestock grazing is a globally common land-use practice, impacting the micro- and macro-ecological dynamics. It is one of the most important managerial issues in the protected areas of India, which are home to most of the floral and faunal biodiversity of country. …”
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Performance Analysis of a TDMA-based Wireless Sensor Networks Protocol with Cognitive Radio Capabilities by Israel Leyva Mayorga, Mario E. Rivero Ángeles, Chadwick Carreto Arellano, Vicent Pla

“…This is achieved by sensing the channel and identifying vacant bands to make use of them dynamically. In this paper, the WISPER protocol is studied, which is a WSN protocol capable of performing both, continuous monitoring (CntM) and event driven detection (EDD) duties by implementing a singleband CR scheme in order to identify the operational parameters that enhance both, energy consumption and data transmission in highly saturated environments. …”
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Some Aspects of Medieval Oriental Numismatics as a Historical Source (1) by P.N. Petrov

“…This article contains a concise representation of the most challenging issues of medieval Oriental numismatics. The author emphasizes the importance of numismatic information for the study of the economic situation in the states and in some regions, of the dynamics of commodity-money relations, of the nature of the monetary policy pursued by the authorities, of the structure of money circulation in the states, of the administrative structure of the states and its changes over time, of the political declaration of power by issuers of coins, of the religious policy of the states, of the sequence and chronology of the reigns, and of many other aspects of Oriental history. …”
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Remote active monitoring of patients after myocardial infarction: are there any advantages over standard outpatient monitoring? by D. Yu. Sedykh, T. S. Alkhimova, V. V. Kashtalap, O. L. Barbarash

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Non-end-to-end adaptive graph learning for multi-scale temporal traffic flow prediction. by Kang Xu, Bin Pan, MingXin Zhang, Xuan Zhang, XiaoYu Hou, JingXian Yu, ZhiZhu Lu, Xiao Zeng, QingQing Jia

“…To address these issues, this paper proposes a non-end-to-end adaptive graph learning algorithm capable of effectively capturing complex dependencies. …”
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Participation of the C-terminal propeptide procollagen type I in the formation of cardiofibrosis in patients with myocardial infarction with preserved left ventricular ejection fra... by A. V. Osokina, V. N. Karetnikova, O. M. Polikutina, A. V. Ivanova, T. B. Pecherina, O. V. Gruzdeva, Yu. A. Dyleva, A. N. Kokov, N. K. Brel, O. L. Barbarash

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Automated Calibration of SWMM for Improved Stormwater Model Development and Application by Hossein Ahmadi, Durelle Scott, David J. Sample, Mina Shahed Behrouz

“…However, calibration of SWMM, as with all hydrologic models, is often plagued with issues such as subjectivity, and an abundance of model parameters, leading to delays and inefficiencies in model development and application. …”
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Life quality in Russia: a brief overview by D. A. Ermilina

“…The main purpose of the study is to assess the key socio-economic parameters that affect the life quality in Russia. Methods of system analysis, classification and generalization were used in the study. …”
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Results of cellular immunity research in persons using fixed dentures based on different metal alloys by Grizodub D.V.

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Human-robot interaction using retrieval-augmented generation and fine-tuning with transformer neural networks in industry 5.0 by Hamed Fazlollahtabar

“…This research solves some of the major issues including the problems of scalability, specific fine-tuning, multimodal learning, and the ethical issues in the integration of AI in robotics. …”
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CFD-APSO Co-Optimization for Enhanced Heat Dissipation in a <i>Camellia oleifera</i> Harvester Engine Compartment by Wenfu Tong, Kai Liao, Lefeng Zhou, Haifei Chen, Hong Luo, Jichao Liang

“…Subsequently, an “engine compartment cover parameters–temperature” correlation model was established, and the dimensional parameters of the engine compartment cover were optimized using the APSO algorithm. …”
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Perioperative hemodynamic status in children with acquired hydrocephalia by Snisar V.I., Skliar V.V., Lisivets V.I.

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Lung ultrasound in the diagnosis of COVID-19-associated pneumonia by A. A. Balabanova, A. P. Kurazhov, V. D. Zavadovskaya

“…Ultrasound examination has a number of advantages (no radiation exposure, real-time imaging, clear visualization of the subpleural lung regions and costophrenic angles), which make it possible to use ultrasound to monitor the dynamics of pneumonia in children and pregnant women. …”
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A global systematic review of the remote sensing vegetation indices by Kai Yan, Si Gao, Guangjian Yan, Xuanlong Ma, Xiuzhi Chen, Peng Zhu, Jinhua Li, Sicong Gao, Jean-Philippe Gastellu-Etchegorry, Ranga B. Myneni, Qiao Wang

“…VI Selection should be tailored to user needs, focusing on relevant vegetation parameters and the study area’s conditions.…”
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Deep Learning Model for Analyzing EEG Signal Analysis by Varun Gupta, Vivek Kumar, Prince, Saurabh Singh, Young-Seok Lee, In-Ho Ra

“…To analyze the physiological information within the acquired EEG signal is very cumbersome due to the possibility of several factors, viz. noise and artifacts, complexity of brain dynamics, and inter-subject variability. To address these issues, this paper compares a U-shaped encoder-decoder network (UNET) and Bat-based UNET signal analysis (BUSA) techniques to classify depression rates in the Electroencephalogram (EEG) datasets. …”
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Combined strength analysis of deformation capability of a body under frontal force impact by Zykov S.N.

“…With the combined use of full-scale experiments and numerical research methods, the issues of results coordination, their qualitative and quantitative interpretation become relevant. …”
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A proximal policy optimization based deep reinforcement learning framework for tracking control of a flexible robotic manipulator by Joshi Kumar V, Vinodh Kumar Elumalai

“…Identifying the optimal hyper-parameters of DRL using the grid search method, we exploit the capability of CNN in actor-critic architecture to extract the spatial dependencies in the state sequences of the dynamical system and boost the DRL performance. …”
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Applied Mechatronics: Designing a Sliding Mode Controller for Active Suspension System by Aydin Azizi, Hamed Mobki

“…Moreover, the effect of controller parameters on the basin of attraction set and its extensiveness has been assessed. …”
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Analysis and evaluation of the effectiveness of methods for ensuring the quality of service for software-defined networks of the standard 5G/IMT-2020 by Behrooz Daneshmand

“…Finally, the article discusses and compares parameters of the QoS in 5G determined by world’s leaders in 5G technology.…”
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