The Conceptual Principles of Evaluating the Economic Potential of Agricultural Enterprises by Krasnorutskyy Oleksiy O., Marenych Tetiana H., Kalchenko Mykola M., Sherstiuk Oleksandr V.

“…The assessment of the magnitude of the economic potential of an agricultural enterprise is presented as an organized and purposeful process of determining the monetary value of production-technological, agro-ecological, and innovative-investment potentials, taking into account the direction of the dynamics of the efficiency indicators of their implementation. A qualitative assessment should ensure compliance with the principles, methodological approaches, methods, evaluation procedures, and well-founded assumptions that the company can make in calculations. …”
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Traffic flow modelling of vehicles on a six lane freeway: Comparative analysis of improved group method of data handling and artificial neural network model by Isaac Oyeyemi Olayode, Alessandro Severino, Frimpong Justice Alex, Elmira Jamei

“…This research presents a comparative analysis of two machine learning methodologies—Improved Group Method of Data Handling (GMDH) and Artificial Neural Network (ANN)—for modelling vehicular traffic flow on a six-lane freeway. …”
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Comprehensive analysis of the integrated quality of cultivated kelp (Saccharina japonica) in three major producing provinces of China by Xiaohui Liu, Haiyi Wu, Meili Xin, Wendan Chi, Mengxue Xu, Jingjing Song, Haozhi Sui, Fang Lv, Dongmei Zhan

“…Understanding the differences in the integrated quality of S. japonica across major production regions is necessary for achieving high-quality output and maximizing resource utilization efficiency. …”
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Multivariate Optimization And Modeling of Gas Refinery Oily Wastewaters Treatment Utilizing Activated Carbon As High Throughput Adsorbent by Hamed Bagheri, Bizhan Honarvar, Nadia Esfandiari, Zahra Arab Aboosadi

“…<p style="text-align: left;"><strong>Introduction:</strong> Recently, adsorption-based wastewater treatment had been utilized as a cost-effective, high-throughput, and efficient method. It is reported that to reach an efficient treatment process, the adsorption process should be optimized by a reliable optimization process. …”
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Data Envelopment Analysis as a Tool for Identifying Reference Schools: A Study in the Context of High School in a Brazilian State by Denilson Junio Marques Soares, Wagner dos Santos

“…The study employs the output-oriented Variable Returns to Scale approach of Data Envelopment Analysis, along with the Malmquist Index, to assess changes in outcomes over two editions of the indicator. …”
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A DNN-based 5G MIMO system adopting a mix of tactics by Md. Matiqul Islam, Md. Ashraful Islam, Md. Firoz Ahmed

“…Abstract The emergence of 5G technology necessitates advanced communication systems that can handle high data rates while providing improved reliability. However, current methods often struggle with issues related to complexity and efficiency. …”
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Generative Bayesian Computation for Maximum Expected Utility by Nick Polson, Fabrizio Ruggeri, Vadim Sokolov

“…Generative Bayesian Computation (GBC) methods are developed to provide an efficient computational solution for maximum expected utility (MEU). …”
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Novel Design Method for the Roll Forming Process and Improved Forming Quality of 316L Stainless Steel BPP Flow Channels with Right-Angled Sidewalls by Fuqiang Zhao, Hugang Tian, Qingxue Huang, Yanlei Zhang, Xiaolong Xie, Zhigang Qi, Shuaifeng Chen

“…A flow channel with straight sidewalls and a low thinning rate can enhance battery output. Roll forming, as a new technology for BPP production, offers advantages such as a low thinning rate and high efficiency. …”
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Hyperspectral Simultaneous Anomaly Detection and Denoising: Insights From Integrative Perspective by Minghua Wang, Lianru Gao, Longfei Ren, Xian Sun, Jocelyn Chanussot

“…The proposed algorithm is efficiently solved by the well-designed linearized alternating direction method of multipliers with an adaptive penalty. …”
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A New Analysis of Web Customer Service Text Classification of Alexa Virtual Assistant Commands Using a Deep Learning Model by Seidakhmet Nurpatsha

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Evaluation of the efficiency of reference machine learning models for buffer memory prediction when transforming a self-similar input stream of packets into a stream having exponen... by G. I. Linets, R. Al. Voronkin, S. Vl. Govorova

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A method for short-term wind power forecasting under extreme weather conditions based on meteorological factor interpretability and hybrid deep learning algorithms by Bo Wang, Shu Wang, Zheng Wang, Yingying Zheng, Xin Li

“…This model combines the CNN and BiLSTM network to capture local features and long-term temporal trends complementarily and further enhances the learning of key temporal features through an AM, finally outputting the forecasting results. Through case analysis on a wind power dataset in Liaoning, China, the experimental results show that compared with traditional forecasting methods, the proposed framework reduces the mean absolute error (MAE) by 52.29% and increases R2 by 0.0625 under windy conditions, and reduces the MAE by 64.29% and increases R2 by 0.0462 under low-temperature weather. …”
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Hybrid thermoelectric generator system for enhanced waste heat recovery from diesel generators using HVAC condenser airflow by Chadi Nohra, Rassol Hamed Rasheed, Ahmed Mohsin Alsayah, Mohammed J. Alshukri, Jalal Faraj, Samer Ali, Mahmoud Khaled

“…Compared to conventional setups, this method greatly increases TEG efficiency by taking advantage of high temperature differentials and passive sink flow. …”
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Comprehensive study on cooling effectiveness and thermoelectric conversion of a novel helium/hydrogen-based closed Brayton cooling system for a hydrogen aero-engine by Qiurui Xin, Xiaohui Bai, Helong Jin, Chengao Duan, Yuxi Li, Cunliang Liu

“…Furthermore, the utilization of TEGs reduces the cooling efficiency but increases the total power output of the schemes. …”
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The use of corn and buckwheat flour in the production of bakery products by E. N. Efremova, A. I. Belyaev, N. Y. Petrov, E. A. Zenina

“…Method of trial laboratory bread baking.» The taste became sweeter, the porosity became fine and thin-walled, and the color of the crumb became light brown. …”
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Innovative biomass cogeneration system for a zero energy school building by Ali Ghanbari Birgani, Ehsanolah Assareh, Ashkan Ghafouri, Ali Falavand Jozaei

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A Multiangle MIMO-SAR Fusion Imaging Method Based on Improved Range Migration Algorithm and Improved Geographic Information Scale Invariant Feature Transform Algorithm by Fang Zhou, Zhikuan Jiao, Guoqing Shen, Mengdao Xing, Marina Gashinova

“…Finally, an improved method of geographic information-scale invariant feature transform is used to achieve the efficiency fusion of multi-angle imaging results. …”
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PW-FBPNN: A Hybrid Fault Diagnosis Method for Power Circuit Systems Combining Principal Component Analysis, Wavelet Packet Transform, and Fuzzy Neural Networks by Xu Chen, Chao Zhang, Haomiao Zhang, Zhiqiang Cheng, Yu Yan

“…PW-FBPNN achieved 100% accuracy in diagnosing most types of faults, with a minimum accuracy of 91.67% for challenging faults. This method was significantly superior to existing methods such as FCM-HMM-SVM and KICA-DNN in terms of accuracy and computational efficiency and could complete the diagnosis in just 0.01 seconds. …”
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Methodological aspects of optimization of energy consump-tion costs of low-rise buildings with a built-in air heat pump by E. I. Krupnov, I. A. Zaitseva, S. A. Loginova, I. S. Zaitsev

“…The use of such innovative energy-saving technologies requires not only modern architectural and planning, design and engineering solutions, but also sound methodological recommendations for as-sessing their energy efficiency and feasibility. The article presents a methodology for calculating the consumed electrical energy and heat generation, as well as the seasonal indicator of energy efficiency in the operation of an air source heat pump.Method. …”
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C_OSS Losses in Resonant Converters by Giuseppe Samperi, Antonio Laudani, Nunzio Salerno, Alfio Scuto, Marco Ventimiglia, Santi Agatino Rizzo

“…High efficiency and high power density are key targets in modern power conversion. …”
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