Economic Model Predictive Control for Wastewater Treatment Processes Based on Global Maximum Error POD-TPWL by Zhiyu Wang, Jing Zeng, Jinfeng Liu

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Support vector regression model for the prediction of buildings’ maximum seismic response based on real monitoring data by Dongwang Tao, Shizhe Fang, Haixu Liu, Jianqi Lu, Jiang Wang, Qiang Ma

“…In this study, based on the NDE1.0 flatfile, we develop a full-feature support vector regression (SVR) based MDR prediction model (SVR-MDR), treating all the available 41 characteristic parameters including structural information as input feature. To improve the model’s efficiency and practical applicability, we also establish a reduced-feature SVR model (RSVR-MDR) by selecting 10 fundamental parameters based on SHapley Additive exPlanations (SHAP) values and the accessibility of features. …”
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Performance analysis of transmit antenna selection and maximum-ratio combining in overlay networks powered by harvested energy by Khuong Ho-Van

“…To this end, mul-tiple antennas are considered to collect energy efficiently and perform reliable decoding by selecting the transmitting antenna and applying maximum-ratio combining. …”
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EXPERIMENTAL STUDIES OF A MODEL FOR OPTIMIZING THE PORTFOLIO OF A PROJECT-ORIENTED ORGANIZATION BASED ON THE ENTROPY CONCEPT by Alla Bondar, Svitlana Onyshchenko

“…The studies substantiated the possibility of adjusting the model in terms of the optimization criterion (maximizing value, minimizing energy entropy) and adding restrictions on the maximum permissible border of information entropy and energy efficiency. …”
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Enhanced grey wolf optimization for maximum power point tracking in photovoltaic systems with hybrid battery-supercapacitor storage by Chirine Benzazah, Najoua Mrabet, Ahmed ElAkkary, Fathallah Rerhrhaye

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Improving Object Detection in High-Altitude Infrared Thermal Images Using Magnitude-Based Pruning and Non-Maximum Suppression by Yajnaseni Dash, Vinayak Gupta, Ajith Abraham, Swati Chandna

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Vehicle Text Data Compression and Transmission Method Based on Maximum Entropy Neural Network and Optimized Huffman Encoding Algorithms by Jingfeng Yang, Zhenkun Zhang, Nanfeng Zhang, Ming Li, Yanwei Zheng, Li Wang, Yong Li, Ji Yang, Yifei Xiang, Yu Zhang

“…In order to optimize the efficiency of mass data transmission in actual operation, this paper presented the text information (including position information) of the maximum entropy principle of a neural network probability prediction model combined with the optimized Huffman encoding algorithm, optimization from the exchange of data to data compression, transmission, and decompression of the whole process. …”
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The Main Directions of Improving the Methodology for the Application of Advanced Information and Communication Technologies in the Statistical Activities of the Republic of Uzbekis... by I. E. Zhukovskaya

“…The scientific article presents the main directions of improving the methodology for the application of advanced information and communication technologies in the statistical activities of the Republic of Uzbekistan in the context of the formation of a digital economy, in particular with the aim of achieving maximum reliability and efficiency in collecting and processing statistical data, as well as the openness and quality of information when receiving consolidated indicators for various user requests, an analysis of the functionality of information systems and technologies used in the statistical field was carried out, a methodology for the provision of modern state interactive services to end users was developed on the basis of the implementation of a digital analytical platform, mechanisms for improving the quality of state statistical reporting based on the use of web service technologies were proposed, scientific approaches to the integration of statistical activities with other ministries and departments in the in the context of the digitalization of the economy are expressed.The author concludes that the digital economy changes all spheres of life in modern society, contributes to the formation of a new management paradigm, methods and means based on the strengthening of the role of science as a leading productive force generating more and more new knowledge, leading to new trends in the improvement of managerial processes, solving problems of information compatibility of various software and technological complexes, which, in turn, contributes to the processes of globalization and improvement of the social sphere of the national economy, which are manifested not only in the growth of production indicators, but also in the improvement of the quality of life of the country's population.The article shows that a comprehensive analysis, statistical data on the development of innovative processes in the economy allow us to note that innovations based on the use of the advanced ICT contribute to improving the technical and technological basis of production processes, optimizing management processes, and developing human capital. …”
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K-Nearest Neighbors hybrid method for maximum power point tracking under partial shading for photovoltaic power systems by Djamel Guessoum, Maen Takrouri, Mohammad Rabih, Maissa Farhat, Sufian A. Badawi

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Informative Path Planning Using Physics-Informed Gaussian Processes for Aerial Mapping of 5G Networks by Jonas F. Gruner, Jan Graßhoff, Carlos Castelar Wembers, Kilian Schweppe, Georg Schildbach, Philipp Rostalski

“…The most promising candidates are then integrated into an informative path-planning algorithm tasked with performing an efficient UAV-based cellular network mapping. …”
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The Automated Information System “Perimeter” is a Tool for the Modernization of Information and Technical Support of Sanitary and Quarantine Control by A. Yu. Popova, E. B. Ezhlova, V. Yu. Smolensky, A. N. Letyushev, A. A. Treskin, A. V. Ivanova, V. A. Safronov, A. A. Zubova, I. G. Karnaukhov, V. P. Toporkov, S. A. Shcherbakova, V. V. Kutyrev

“…Implementation of AIS “Perimeter” has brought about the maximum possible efficiency in the targeted informing of SQP officials about the current epidemiological situation in the countries of the world; an effective tool for monitoring the situation at the federal level in real-time mode. …”
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An improved RIME optimization algorithm based maximum power point tracking method for photovoltaic system under partially shading condition by Yonggang Wang, Wenjia Zhang, Yuanchu Ma, Yanan Yu, Haoran Chen

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Optimizing processing methods for maximum bioactive retention: comparative metabolomic analysis of dried loquat (Eriobotrya japonica) flowers and their powdered extracts by Mingzheng Duan, Jieming Feng, Jing-Han Feng, Xi Wang, Xu Xiao, Shirong He, Hengcui Guo, Wenyan Zhang, Zhumao Jiang, Tongfa Wan, Muhammad Junaid Rao

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Microwave Foreign Object Detection in a Lossy Medium Using a Planar Array Antenna by Longzheng Yu, Peng Xu, Wenbo Li, Xiao Cai

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On Adaptive Energy-Efficient Transmission in WSNs by M. Tahir, N. Javaid, A. Iqbal, Z. A. Khan, N. Alrajeh

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Space Efficiency of Tall Buildings in Singapore by Özlem Nur Aslantamer, Hüseyin Emre Ilgın

“…These metrics vary from a minimum of 68% and 5% to a maximum of 91% and 32%, respectively. These insights offer valuable guidance for Singaporean construction professionals, particularly architects, helping them make informed design decisions for high-rise projects.…”
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A New Modeling Method for Meteorological Information of Regional Distributed Photovoltaic Power Generation Based on Multi‐Source Information Fusion by Yuhang Wang, Dengxuan Li, Wenwen Ma, Xi Zhang, Honglu Zhu

“…Consequently, developing effective, reliable, and cost‐efficient meteorological information computation methods for DPV has become a critical research focus. …”
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Hybrid-Hierarchical Synchronization for Resilient Large-Scale SDN Architectures by Alessandro Pacini, Davide Scano, Andrea Sgambelluri, Luca Valcarenghi, Alessio Giorgetti

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A Novel Hermite Interpolation-Based MPPT Technique for Photovoltaic Systems Under Partial Shading Conditions by Chuanlai Yuan, Juntao Xia, Fengyuan Huang, Peng Zhao, Lingshuang Kong

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Grid-Connected Solar PV System with Maximum Power Point Tracking and Battery Energy Storage Integrated with Sophisticated Three-Level NPC Inverter by D. Ravi Kishore, T. Vijay Muni, B. Srinivas Raja, Mukesh Pushkarna, B. Srikanth Goud, Kareem M. AboRas, Sadam Alphonse

“…In this research, a solar photovoltaic system with maximum power point tracking (MPPT) and battery storage is integrated into a grid-connected system using an improved three-level neutral-point-clamped (NPC) inverter. …”
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