Efficient Onboard Multitask AI Architecture Based on Self-Supervised Learning by Gabriele Inzerillo, Diego Valsesia, Enrico Magli

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A Novel Efficient Feature Dimensionality Reduction Method and Its Application in Engineering by Zhun Cheng, Zhixiong Lu

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Research on the GST gene family in Salix lindleyana reveals Trp162 and Pro202 as key amino acids controlling the release rate of GS-X by Nan Xu, Yu-Wen Wang, Chang Qu, Zhao-Qun Wu, Xiu-Xing Zhang, Shi-Yi Wang, Ye-Bo Yang, Jing Xue, Hai-Ling Yang

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Optimizing demulsifier selection for crude oil dehydration: a fuzzy TOPSIS-based multi-criteria decision-making approach by Jianyong Yu, Merwa Alhadrawi, Farag M. A. Altalbawy, Ahmed Rasol Hasson, M. Mehdi Shafieezadeh

“…However, selecting an optimal demulsifier remains a complex problem due to the need to balance separation efficiency, environmental impact, cost-effectiveness, and ease of application. …”
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Low-Complexity Transmit Antenna Selection in Large-Scale Spatial Modulation Systems by Peng Wei, Lu Yin, Yue Xiao, Xu He, Shaoqian Li

“…Transmit antenna selection (TAS) is an efficient way for improving the system performance of spatial modulation (SM) systems. …”
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Improvement and Optimization of Feature Selection Algorithm in Swarm Intelligence Algorithm Based on Complexity by Bingsheng Chen, Huijie Chen, Mengshan Li

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An Efficient Sentiment Classification Method with the Help of Neighbors and a Hybrid of RNN Models by Israa K. Salman Al-Tameemi, Mohammad-Reza Feizi-Derakhshi, Saeed Pashazadeh, Mohammad Asadpour

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An Efficient 3D Model Retrieval Method Based on Convolutional Neural Network by Bo Ding, Lei Tang, Yong-jun He

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Navigating the Complex ESG Accounting Landscape: Engineering a Method Selection Framework by Vijanti Ramautar, Sergio España, Siamak Farshidi

“…Secondly, the results demonstrate how selection frameworks and tools can aid organizations in navigating the complex ESG accounting landscape. …”
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Molecular and metabolic insights into muscle development and feed efficiency in beef cattle by Sophia M. Ascolese, Brynn H. Voy, Jonathan E. Beever, Jonathan E. Beever, Laney M. Stephens, Phillip R. Myer

“…Feed efficiency, often quantified through residual feed intake (RFI), is a complex trait influenced by genetic, physiological, and environmental factors. …”
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Exergetic calculation of the efficiency of heat pump installations for a private building by О. Стенін, В. Пасько, М. Солдатова, І. Дроздович

“…The models and methods proposed in most works for evaluating the energy efficiency of ground-source heat pump installations for designers and implementers of heat supply systems for residential buildings are quite complex and highly specialized. …”
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Model predictive control for energy efficient AC motor drives: An overview by Muhammad Bilal Shahid, Weidong Jin, Muhammad Abbas Abbasi, Abdul Rashid Bin Husain, Hafiz Mudassir Munir, Mannan Hassan, Aymen Flah, Ahmed Saad Eddine Souissi, Thamer A. H. Alghamdi

“…Then, the important challenges in MPC implementation, such as computational complexity reduction and delay compensation, weighting factor selection for multi‐objective cost functions, steady state performance and ripple reduction, parameter variations/model mismatching and achieving extended prediction horizons, are surveyed and most relevant solutions are reviewed. …”
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Efficient structure learning of gene regulatory networks with Bayesian active learning by Dániel Sándor, Péter Antal

“…Abstract Background Gene regulatory network modeling is a complex structure learning problem that involves both observational data analysis and experimental interventions. …”
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Integrating decision tools for efficient operations management through innovative approaches by Weidong Liu, Xuewu Lai

“…This study redefines the future of operations management by addressing efficiency and sustainability goals, offering a practical roadmap for organizations facing complex operational challenges.…”
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An efficient hybrid framework with knowledge transfer for solving capacitated vehicle routing problems by Yanlin Wu, Yanguang Cai, Chuncheng Fang

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Energy efficient resource allocation scheme for AF relay downlink system by Yu CHEN, Xu-ming FANG, Bo HUANG

“…In order to maximize the total energy efficiency of amplify-and-forward relay downlink system,a joint scheme of relay selection and power allocation was proposed with the circuit power of the system.For reducing the computa-tional complexity,a step-by-step suboptimal allocation scheme was provided.Firstly,the virtual direct channel gains were adopted to select appropriate transmission link.Meanwhile,relay system was converted to the single hop system.Then,the power allocation could be solved by convex optimization.Besides,in order to accommodate different user distribu-tions,a resource allocation scheme based on cell zooming was also proposed.Simulations demonstrated that the solution of the proposed suboptimal scheme approaches the optimal solution.Additionally,the scheme with cell zooming is adaptable to different user distributions and further improves the total system energy efficiency.…”
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CHARACTERISTICS OF THE VARIETIES AND LINES OF WINTER WHEAT OBTAINED IN ARRIGC NAMED AFTER I.G. KALINENKO ON RESISTANCE TO A COMPLEX OF PATHOGENS OF ECONOMICALLY VALUABLE DISEASES by G. V. Volkova, O. Yu. Kremneva, Yu. V. Shumilov, Е. V. Sinyak, O. F. Vaganova, E. S. Segeda, D. M. Marchenko, N. E. Samofalova, O. V. Skripka, T. G. Derova

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Computationally Efficient Hybrid Downscaling of Surf Zone Hydrodynamics: Methodology and Evaluation by E. R. Echevarria, S. Contardo, B. Pérez‐Díaz, R. K. Hoeke, B. Leighton, C. Trenham, L. Cagigal, F. J. Méndez

“…Abstract We present a hybrid surf‐zone model that combines numerical simulations and statistical/machine learning techniques, enabling accurate calculations of nearshore wave and hydrodynamic parameters with high computational efficiency. The approach involves defining representative forcing conditions, carrying out numerical model (XBeach) simulations for these cases, and training machine learning models capable of predicting selected model output variables. …”
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THE EFFICIENCY ANALYSIS OF MULTI-AGENT OPTIMIZATION METHODS OF AIRCRAFT DESIGNS ELEMENTS by A. V. Panteleev, M. S. Karane

“…The software allows you to select a method, a task and select the method parameters and the penalty function coefficients in the best possible way. …”
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Productivity of corn hybrids, economic and energy efficiency of their cultivation in the Krasnodar Territory by A. A. Makarenko, S. V. Kokovikhin, T. V. Logoyda

“…The development of modern technologies for growing corn grain is a complex task that requires the use of adaptive approaches and highly productive, stress-resistant hybrids with individually selected sets of agrotechnical techniques. …”
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