A review of finite control set model predictive control for linear machines by Wei Xu, Han Xiao, Yirong Tang, Jian Ge, Leilei Guo, Abdul Khalique Junejo

“…Among the numerous control methods of LM drive systems, finite control set model predictive control (FCS‐MPC) method has been given special attention due to its clear concept, fast response performance, and ability to handle constrained multivariate non‐linear control problems. It is widely used to improve the performance and efficiency of overall LM drive systems. …”
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Model-informed deep-learning photoacoustic reconstruction for low-element linear array by Souradip Paul, S. Alex Lee, Shensheng Zhao, Yun-Sheng Chen

“…To address the challenges, we introduce a simplified, efficient GE-CNN framework specifically tailored for linear array transducers. …”
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PARALLEL APPROACH TO SOLVE OF THE DIRECT SOLUTION OF LARGE SPARSE SYSTEMS OF LINEAR EQUATIONS by Michal Bošanský, Bořek Patzák

“…The paper deals with parallel approach for the numerical solution of large, sparse, non-symmetric systems of linear equations, that can be part of any finite element software. …”
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Integer linear programming for unsupervised training set selection in molecular machine learning by Matthieu Haeberle, Puck van Gerwen, Ruben Laplaza, Ksenia R Briling, Jan Weinreich, Friedrich Eisenbrand, Clémence Corminboeuf

“…Integer linear programming (ILP) is an elegant approach to solve linear optimization problems, naturally described using integer decision variables. …”
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Fuzzy Goal Programming Procedure to Bilevel Multiobjective Linear Fractional Programming Problems by Mahmoud A. Abo-Sinna, Ibrahim A. Baky

“…The method of variable change on the under- and over-deviational variables of the membership goals associated with the fuzzy goals of the model is introduced to solve the problem efficiently by using linear goal programming (LGP) methodology. …”
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Nutritional and physiological impact of dietary marula (Sclerocarya birrea ssp. caffra) kernel cake as a soybean meal replacement in Jumbo quail: implications for meat quality and... by Mcolisi Ngcamphalala, Makiwa S. Mthana, Doctor M.N. Mthiyane, Victor Mlambo

“…Whereas diet did not affect body weight gain (BWG), feed conversion efficiency (FCE), carcass characteristics, internal organs, haemato-biochemistry, and some meat quality parameters, incremental dietary levels of MKC linearly decreased quail feed intake (FI) (linear: P < 0.01) and tended to increase their gizzard weights (linear: P = 0.055). …”
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Online electric network capacity assesment by A. I. Motovilov, I. I. Solovejev

“…Reliability of power supply to consumers and the efficient use of energy resources are priority tasks in the process of operational dispatch control of the energy system. …”
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Pengaruh Bagi Hasil, Biaya Promosi, Efisiensi Operasional Dan Ukuran Perusahaan Terhadap Jumlah Deposito Mudharabah by Nurhidayatus Sifki, Ibram Pinondang Dalimunthe

“…This study aims to show the effect of profit-sharing, promotion costs, operational efficiency, and company size on the number of mudharabah deposits. …”
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Impact of krill (Euphausia superba) meal on growth performance of aquatic animals: A meta-analysis and prospective directions by Hung Quang Tran, Tram Thi Nguyen, Markéta Dvořáková Prokešová, Margareth Øverland, Laura Gasco, Vikas Kumar, Hien Van Doan, Vlastimil Stejskal

“…The meta-regression models indicated that SGR of rainbow trout (Oncorhynchus mykiss) was significantly correlated with dietary KM by a positive linear model (P = 0.022). The cod and sturgeon (A. gueldenstaedtii) appeared to efficiently utilize krill-containing diets as illustrated by a negative linear model (P = 0.011 and P = 0.024, respectively) between dietary KM and FCR. …”
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Two Approaches to Constructing Certified Dominating Sets in Social Networks by Joanna Raczek, Mateusz Miotk

“…The effectiveness and efficiency of the proposed algorithms were validated through experiments that compare their results with each other and with a previous study: the linear-time algorithm, which determines the certified domination number for trees and with known results for the domination number in social networks.…”
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The model of automation of university management processes by M. I. Grachev

“…The purpose of the research is to synthesize a solution model of an educational organization aimed at automating university management processes. Improving the efficiency of management processes is based on the indicator of the effectiveness of the solution implementation obtained in the work. …”
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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

“…The main objectives of this study are to improve the bit error rate (BER) and spectral efficiency across different orders of quadrature amplitude modulation (QAM)—specifically, 4-QAM, 16-QAM, and 256-QAM. …”
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Prediction of Carbon Emissions from Coal-Fired Power Plants During Load Cycling with Varying Coal Characteristics by Fuguo Liu, Si Li

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Accelerated Bayesian optimization for CNN+LSTM learning rate tuning via precomputed Gaussian process subspaces in soil analysis by Xiaolong Chen, Hongfeng Zhang, Cora Un In Wong, Zhengchun Song

“…This work bridges the gap between computational efficiency and probabilistic robustness, with broader implications for automated machine learning in geoscientific applications.MethodThe key innovation lies in a subspace-accelerated GP surrogate model that precomputes low-rank approximations of covariance matrices offline, thereby decoupling the costly hyperparameter tuning from the online acquisition function evaluations. …”
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Multifractal analysis of Bitcoin price dynamics by Cristian Bucur, Bogdan-George Tudorică, Adela Bâra, Simona-Vasilica Oprea

“…Temporal analysis exposes intriguing trends in multifractality with implications for market efficiency. Furthermore, correlation analysis unveils connections among multifractal properties. …”
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Advanced Machine Learning Techniques for Energy Consumption Analysis and Optimization at UBC Campus: Correlations with Meteorological Variables by Amir Shahcheraghian, Adrian Ilinca

“…Valuable insights for improving energy efficiency and sustainability practices are offered, aiding informed decision-making for energy resource management in educational campuses and similar urban environments. …”
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Navigating the Challenges of Sustainability in the Food Processing Chain: Insights into Energy Interventions to Reduce Footprint by Orlando Corigliano, Pietropaolo Morrone, Angelo Algieri

“…The results underscore a pressing need for strategic interventions to enhance food system efficiency and reduce the footprint. In light of the projected population growth and increasing food demand, the study advocates for a paradigm shift towards more sustainable and resilient food production practices, adopting energy-efficient technologies, promoting sustainable dietary habits, and strengthening global cooperation among stakeholders to achieve the Sustainable Development Goals. …”
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Optimizing Energy Consumption for vRAN Placement in O-RAN Systems With Flexible Transport Networks by William T. Pires-JR, Gabriel M. Almeida, Sand L. Correa, Cristiano B. Both, Leizer L. Pinto, Kleber V. Cardoso

“…In this work, we present a comprehensive and efficient Mixed Integer Linear Programming model to minimize the energy consumption of O-RAN systems, addressing the limitations of current approaches. …”
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Variability of daily feed intake as an indicator of resilience in Pietrain pigs by C. Casto-Rebollo, P. Nuñez, S. Gol, J. Reixach, N. Ibáñez-Escriche

“…The objectives of this study were: (i) to evaluate the most common DFI-based RIs and their relationships with feed efficiency traits (FETs), (ii) to investigate the relationship between these indicators and progeny mortality rates on commercial farms, and (iii) to gain insight into their biological mechanisms. …”
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Multi-shot gradient-echo planar imaging sequence in non-contrast coronary magnetic resonance angiography by Jiajia Zhu, Wenjing Li, Guangming Lu, Dongsheng Jin, Qiuju Hu, Yong Yuan, Song Luo, Yane Zhao

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