Model of process of organization of effective agricultural land-tenure by Оlexandra Hulko

“…There has been disclosed the essence of the concept of organization of efficient agricultural land use as the process of creation of the needed organizational and territorial, legal, economic and social conditions for total engagement into production and output increase of each hectare of land while conserving and restoring soil fertility. …”
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Evaluation of sustainable energy use in sugarcane production: A holistic model from planting to harvest and life cycle assessment by Molood Behnia, Mohammad Ghahderijani, Ali Kaab, Marjan Behnia

“…However, ratoon cycles are more energy efficient. To lessen energy use in plant cane, the research recommends strategies like minimizing machinery use, adopting reduced and no-tillage practices, and employing efficient irrigation and spraying methods. …”
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Organizational Ways of Improvement of Reproduction Management in the Republic of Belarus by V. N. Drazhin

“…The paper gives analysis of forms and methods of innovation activity which is directed to efficient solution of the problems in the following chain: «scientific research-new technologies-organization of production - output of final products».…”
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Research on Power Conversion and Control Technology of Ocean Buoy Tidal Energy Power Supply System by Changpo Song, Fengyong Sun, Fan Yang

“…Saber and Matlab simulations demonstrate that the proposed approach yields faster power tracking response and increases output power by 5–10% compared to traditional methods. …”
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Constant Power Control of Diesels in DMU Based on PI Control by ZHOU Yang, DONG Yukang

“…When a diesel engine operates at non constant power output, it not only has low fuel efficiency but may also generate significant mechanical stress, leading to wear and damage of mechanical components. …”
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Application of Low Crest Factor Modulation in Radio Communication Systems by V. V. Evstratko, V. V. Sukhotin, T. A. Zubov, A. V. Mishurov, A. I. Konovalenko

“…To investigate the effect of the parameters and operating modes of the amplifier on those of the radio communication system, such as its output power, efficiency, out-of-band transmitter radiation, and receiver sensitivity for signals with different types of modulation and different crest factor values.Materials and methods. …”
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Analysis and Design of ADRC for the LCC-LCC WPT System by Wencong Huang, Wentao Lin, Peng Gao, Yufang Chang

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Application of artificial neural network in determining the fabric weave pattern by Subrata Das, Keerthana Shanmugaraja

“…Along with the rapid development of computer vision, the automatic and efficient methods for woven fabric classification are desperately needed. …”
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Photovoltaic power supply technology and electricity saving strategies for fixed-velocity-measuring system by Li Jian

“…Experimental results show high efficiency and stability of the dedicated controller and in practical application, the specially designed PV system in this paper can provide continuous electric power supply throughout a year in an efficient way, and the output voltage and frequency are steady.…”
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Developing an Extreme Learning Machine-Based Model for Estimating the Isothermal Compressibility of Biodiesel by Yue Wang, Hamid Heydari

“…The current research sets out to develop a new and robust method predicting isothermal compressibility of long-chain fatty acid methyl and ethyl esters directly from several basic efficient parameters (pressure, temperature, normal melting point, and molecular weight). …”
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Parameter Stress Response Prediction for Vehicle Dust Extraction Fan Impeller Based on Feedback Neural Network by Feng Zhang, Yuxiang Tian, Ruijie Du, Yuxiao Xu, Yang Gao, Xin Li

“…Through a comparative analysis of multiple surrogate models, this study determined the advantages of the feedback neural network in predicting the impeller stress response. It provides a more efficient and accurate method for reliability analysis in this field and helps to promote the development of reliability research on vehicle filtration systems.…”
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PoseAlign network for hybrid structure in 2D human pose estimation by Jin Zhang, Yabo Yin, Wenzhong Yang, Doudou Ren, Danny Chen

“…Additionally, we observe varying contributions of different output features to the final performance. We introduce an efficient attention mechanism called Point Reposition Attention, which balances the local and global representations of output features and optimizes keypoint location predictions through rescaling. …”
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Configuration Synthesis and Performance Analysis of Reconfigurable Decoupled Parallel Mobile Robots by Pan Wuxing, Li Ruiqin, Ning Fengping, Li Yanlong, Feng Xiaodong

“…The 58 constraint limbs are synthesized based on the de-constraint method of the screw theory. Based on the virtual chain method of the screw theory, the 3R spherical parallel mechanism is synthesized as the bearing limb of the mechanical leg. …”
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Two-stage multi-timescale optimal scheduling for electricity-hydrogen coupling systems based on scenario approach and deep reinforcement learning by CHEN Zhe, WEI Meijia, LIN Da, LI Zhihao, CHEN Jian

“…In electricity-hydrogen coupling systems， fluctuations in wind and solar power output， as well as the different timescales for electricity and hydrogen energy dispatch， pose significant challenges for economic and efficient system scheduling. …”
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Deep ensemble learning with transformer models for enhanced Alzheimer’s disease detection by Shiza Latif, Naeem Ul Islam, Zaki Uddin, Khalid Mehmood Cheema, Syed Sohail Ahmed, Muhammad Farhan Khan

“…The recurrent convolutional neural network also takes text data as input and generates the final classification output. Finally, these branches are fused using the ensemble learning approach to give a more robust and accurate output. …”
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Research on multi dimensional feature extraction and recognition of industrial and mining solid waste images based on mask R-CNN and graph convolutional networks by Shuqin Wang, Na Cheng, Yan Hu

“…This research not only solves the shortcomings of traditional methods in feature extraction and fusion, but also significantly improves computational efficiency and provides new ideas for efficient and automated processing of industrial and mining solid waste images.…”
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A Systematic Mapping Study on Machine Learning Techniques Applied for Condition Monitoring and Predictive Maintenance in the Manufacturing Sector by Thuy Linh Jenny Phan, Ingolf Gehrhardt, David Heik, Fouad Bahrpeyma, Dirk Reichelt

“…<i>Background:</i> Today’s production facilities must be efficient in both manufacturing and maintenance. Efficiency enables the company to maintain the required output while reducing production effort or costs. …”
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Impact of soil salinity, sodicity, and irrigation water salinity on crop production and coping mechanism in areas of dryland farming by Addis Hailu Demo, Mekonnen Keneni Gemeda, Dereje Reta Abdo, Tolesa Negese Guluma, Deressa Boja Adugna

“…These methods encourage sustainable farming systems that maximize resource consumption, increase soil health, and boost crop output. …”
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Soft Measurement and Calculations in Evolutionary Control of Continuous Multistage by В. V. Palyukh, A. N. Vetrov, I. A. Egereva

“…Methods and tools for managing the evolution of multi-stage continuous processes are substantiated to improve efficiency and long-term sustainability throughout the entire life cycle by introducing innovative solutions.…”
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A Massive Image Recognition Algorithm Based on Attribute Modelling and Knowledge Acquisition by Guohua Li, An Liu, Huajie Shen

“…For the complexity of association relationships between attributes of incomplete data, a single-output subnetwork modelling method for incomplete data is proposed to build a neural network model with each missing attribute as output alone and other attributes as input in turn, and the network structure can deeply portray the association relationships between each attribute and other attributes. …”
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