Forecasting Shifts in Europe's Renewable and Fossil Fuel Markets Using Deep Learning Methods by Yonghong Liu, Muhammad S. Saleem, Javed Rashid, Sajjad Ahmad, Muhammad Faheem

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DEVELOPMENT OF A NEW GENERATION OF TORNUM REX MINING GRAIN DRYERS AND THEIR DESIGN METHODS by V. Fitsyk

“…The materials of the article analyze the problems and methods of drying grain in modern grain dryers. In recent years, the mixed-flow dryer has been the subject of many studies on drying efficiency, dryer control and productivity improvement. …”
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Algorithm and Methods for Analyzing Power Consumption Behavior of Industrial Enterprises Considering Process Characteristics by Pavel Ilyushin, Boris Papkov, Aleksandr Kulikov, Konstantin Suslov

“…The paper explores the specific features of non-stationary conditions of output production and assesses the potential for power consumption management under these conditions. …”
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Methods to Quantitatively Evaluate the Effect of Shale Gas Fracturing Stimulation Based on Least Squares by DENG Cai, SUN Kexin, WEN Huan, HU Chaolang

“…It delivered accurate quantitative outputs for both the number of active perforations and their average diameter after abrasion, overcoming the subjectivity and inaccuracy associated with traditional methods. …”
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A Hotspot Prediction Scheme Based on Ensemble Learning With Adaptive Beamforming for Virtual Small Cell in 5G Networks by Aws Majeed Ghalib Alawadi, Hadi Seyedarabi, Reza Afrouzian, Javad Musevi Niya

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Fields2Benchmark: An open-source benchmark for coverage path planning methods in agriculture by Gonzalo Mier, Ana María Casado Faulí, João Valente, Sytze de Bruin

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Transforming Informed Consent Generation Using Large Language Models: Mixed Methods Study by Qiming Shi, Katherine Luzuriaga, Jeroan J Allison, Asil Oztekin, Jamie M Faro, Joy L Lee, Nathaniel Hafer, Margaret McManus, Adrian H Zai

“…LLMs present a scalable, efficient solution for ICF generation, potentially enhancing participant comprehension and consent in clinical trials.…”
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Two-Dimensional Beam Selection by Multiarmed Bandit Algorithm Based on a Quantum Walk by Maki Arai, Tomoki Yamagami, Takatomo Mihana, Ryoichi Horisaki, Mikio Hasegawa

“…However, as the number of beams increases, selecting the most appropriate beam for each user becomes challenging due to the extensive search space and necessitating the development of a more efficient beam selection method. Therefore, we formulate a systematic process for beam selection employing the MAB algorithm rooted in QW principles. …”
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PUMP GROUP AUTOMATIC CONTROL FOR REDUCING ITS ENERGY CONSUMPTION by G. N. Zdor, A. V. Sinitsyn, O. A. Avrutin

“…The effects of disabling the controlled pump unit which is in the ineffective area, on the overall efficiency of the pumping station and on alteration of its output pressure immediately after the pump is switched off are studied. …”
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The Spatiotemporal Evolution of Land Use Ecological Efficiency in the Huaihai Economic Zone: Insights from a Multi-Dimensional Framework and Geospatial Modeling by Gan Teng, Longqian Chen, Ting Zhang, Long Li, Jue Xiao, Linyu Ma

“…The super-efficiency Slack-Based Measure model and exploratory spatial data analysis method were employed to analyze the land use eco-efficiency and its spatiotemporal characteristics in the Huaihai Economic Zone from 2000 to 2022. …”
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Distributed Sensor Network Calibration Under Sensor Nonlinearities with Applications in Aerodynamic Pressure Sensing by Srdjan S. Stanković, Miloš S. Stanković, Mladen Veinović, Ivana Jokić, Miloš Frantlović

“…Stability proofs of the algorithms are given in the bounded input–bounded output sense. The influences of measurement and communication noises are also analyzed using the theory of stochastic approximation. …”
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Joint Transmit-receive Beam Design of FDA-MIMO Dual-function Radar-communication Systems for Radio-frequency Stealth by Haozheng WU, Chenguang SHI, Jianjiang ZHOU

“…The model aims to simultaneously minimize the equivalent transmission beam power at the radar target and maximize the output signal-to-noise ratio. Finally, a joint optimization algorithm based on Weighted Mean-Square Error Minimization (WMMSE) and the Consensus Alternating Direction Method of Multiplier (C-ADMM) is proposed. …”
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Adaptive data driven multi period power supply recovery method for distribution networks by Xi Ye, Meng Yang, Zhihong Yang, Qing Xiang, Yazhuo Li

“…Abstract In the process of distribution network fault recovery, in order to better address the issues caused by the uncertainty of new energy power output, this paper proposes a multi period power supply recovery method for distribution networks based on adaptive data driven approach. …”
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New Method of Heat Compensation for Defrosting of Air Source Heat Pump System in Winter by 陈超, 欧阳军, 王秀丽, 刘铭

“…Frost removing of air-source heat pump results in shortage of heat output,chilly air flow,and less comfortable interior environment in winter.In our study,a new method to solve the problem of frost-removing in air-source heat pump units was proposed using phase-change energy storage technique.The thermal storage equipment filled with DX40 phase-change material was connected to the air-source heat pump unit.In heating cycle,the heat pump unit provides heat to both indoor air and the phase-change heat storage equipment.In frost-removing cycle,the thermal storage equipment provides heat to indoor air in order to make the room comfortable,the frost-removing quicker,and the unit more efficient.The experimental results show that the air-source heat pump connected with the phase-change thermal storage equipment performs well.…”
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Channel estimation method of massive MIMO-OFDM system based on adaptive compressed sensing by Yiyang HU, Lina QI

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Channel estimation method of massive MIMO-OFDM system based on adaptive compressed sensing by Yiyang HU, Lina QI

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Advancing landscape characterisation: A comparative study of machine learning and manual classification methods by Tingting Huang, Geoffrey Griffiths, Bo Huang, Jianning Zhu, Steven Warnock, Martin Lukac

“…This study evaluates and compares three automated classification methods for Landscape Character Assessment (LCA) to assess their suitability for consistent, objective, and scalable mapping. …”
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A Novel Maximum Power Point Inference Method for Distributed Marine Photovoltaic Monitoring by Yujie Chen, Jianan Wang, Lele Peng, Jiachen Qiao

“…The results indicate that the maximum power point of distributed marine photovoltaic monitoring exhibits multi-spectral motion characteristics, with the highest frequency at 335.2 Hz and the lowest frequency at 12.9 Hz. The proposed method enables efficient inference of the maximum power point for distributed marine photovoltaic monitoring under motion conditions, with an accuracy of 98.63%.…”
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Investigating the Bounds of Quality Factor for Class-E Series-Tuned RF Power Amplifiers and Their Computer-Aided Optimization by Pallab Kr Gogoi, Ayan Sharma, Jurgen Vanhamel, Jérôme Loicq

“…This paper presents a comprehensive analysis of Class-E series-tuned radio-frequency power amplifiers (RFPAs), focusing on their design and optimization for high efficiency and performance. However, achieving optimal performance involves navigating trade-offs among efficiency, bandwidth, harmonic suppression, output power capability, and device stress. …”
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Research on corn production efficiency and influencing factors of typical farms: Based on data from 12 corn-producing countries from 2012 to 2019. by Jiamei Wang, Xiangdong Hu

“…I selected the corn input and output data of 18 typical farms in 12 countries from 2012 to 2019, used the data envelopment analysis (DEA) model to calculate the technical efficiency of corn production, and built a tobit model to explore the impact of farming methods, input elements, supporting services, and other factors on efficiency. …”
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