Energy-efficient optimal algorithm based on uplink multi-user very large MIMO system by UYing H, IBao-feng J, UANGYong-ming H, UFei Y, ANGLV-xi Y

“…Using the energy efficiency lower bound as the optimization criterion,a resource allocation algorithm was investigated under uplink multi-user very large MIMO systems.Specifically,both the number of antenna arrays at the BS and the transmit data rate at the user are adjusted to maximize the energy efficiency,in which the power consumption accounts for both transmit power and circuit power,meanwhile the BS uses a zero forcing(ZF) receiver.The existence of a unique globally optimal resource allocation solution was demonstrated by exploiting the properties of objective function.Furthermore,by transforming the originally fractional optimization problem into an equivalent subtractive form using the properties of fractional programming,an iterative resource allocation algorithm was developed to achieve the optimum was developed.Simulation results show that the algorithm converge to a near optimal solution only with a small number of iterations.…”
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Can Government Incentive and Penalty Mechanisms Effectively Mitigate Tacit Collusion in Platform Algorithmic Operations? by Yanan Wang, Yaodong Zhou

“…Algorithmic collusion essentially constitutes a form of monopolistic agreement that utilizes algorithms as tools for signaling collusion, making it particularly challenging for both consumers and antitrust enforcement agencies to detect. …”
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Tabu Genetic Cat Swarm Algorithm Analysis of Optimization Arrangement on Mistuned Blades Based on CUDA by Yi Cai, Junjie Gu, Honggang Pan, Hongyuan Zhang, Tianyu Zhao

“…Furthermore, it is improved to be an innovative parallel algorithm based on Compute Unified Device Architecture (CUDA), whose performance is analyzed both in continuous and discrete solution space. …”
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Machine Learning Algorithms for Acid Mine Drainage Mapping Using Sentinel-2 and Worldview-3 by Fahimeh Farahnakian, Nike Luodes, Teemu Karlsson

“…This combined approach leverages the strengths of both datasets, providing a more robust and precise assessment of AMD impacts.…”
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A Low Complexity Near-Optimal MIMO Antenna Subset Selection Algorithm for Capacity Maximisation by Ayyem Pillai Vasudevan, R. Sudhakar

“…The complexities of other receive-only selection comparable algorithms are calculated. Complexities have been stated in terms of both complex-complex flops and real-real flops. …”
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Semantic Fusion Algorithm of 2D LiDAR and Camera Based on Contour and Inverse Projection by Xingyu Yuan, Yu Liu, Tifan Xiong, Wei Zeng, Chao Wang

“…The method has two remarkable features: (1) Combined with the ellipse extraction algorithm of the arc support line segment, a LiDAR and camera calibration algorithm based on various regular shapes of an environmental target is proposed, which improves the adaptability of the calibration algorithm to the environment. (2) This paper proposes a semantic segmentation algorithm based on the inverse projection of target contours. …”
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Nasal valve obstruction: a comprehensive analysis of the current literature and proposal of a management algorithm by Francesca Pirola, Raymond Kim, Richard Douglas

“…A treatment algorithm for NVO will be presented as a practical guide for the management of this condition.…”
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Advanced Receiver Design for Mitigating Multiple RF Impairments in OFDM Systems: Algorithms and RF Measurements by Adnan Kiayani, Lauri Anttila, Yaning Zou, Mikko Valkama

“…We present time-domain estimation and compensation algorithms for receiver I/Q imbalance and CFO and propose low-complexity algorithms for the compensation of channel distortions and transmitter IQ imbalance. …”
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An intelligent referee selection approach in martial arts using CoCoSo MCDM algorithm by Tao Zhang

“…Three expert evaluators conduct assessments of different referee candidates through vital selection parameter analysis, which includes assessment of experience levels, along with decision accuracy rules, understanding physical fitness capabilities, stress management competencies, consistency performance, and communication abilities. Both the CoCoSo algorithm and IVTSFS system enable successful integration of expert judgments and handle ambiguous referee decision-making approaches respectively. …”
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Efficient Utility Tree-Based Algorithm to Mine High Utility Patterns Having Strong Correlation by Rashad Saeed, Azhar Rauf, Fahmi H. Quradaa, Syed Muhammad Asim

“…These algorithms still suffer from the issue of the computational cost in terms of both time and memory consumption. …”
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Reliable and efficient magnetic data inversion for resource detection using a hybrid bat algorithm by Khalid S. Essa, Mahmoud Elhussein, Omar A. Gomaa, Zein E. Diab

“…The estimated subsurface parameters closely match with well data and prior studies, emphasizing the algorithm’s practical effectiveness. This integrated approach significantly advances the interpretation of magnetic datasets by improving both the accuracy and resolution of subsurface parameters estimation within the framework of idealized geometric models.…”
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Research on multi-stage optimization planning of power internet of things based on seagull optimization algorithm by Peng Ye, Guanxian Liu, Shuo Yang, Shaotao Guo, Huan Wang, Yi Zhao, Mingli Zhang

“…The planning cycle is divided into multiple stages, and an economic model is developed that accounts for both system investment and operating costs. Given the complexity of the multi-stage planning model, the Seagull Optimization Algorithm (SOA) is introduced to solve the problem. …”
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Global data for ecology and epidemiology: a novel algorithm for temporal Fourier processing MODIS data. by Jörn P W Scharlemann, David Benz, Simon I Hay, Bethan V Purse, Andrew J Tatem, G R William Wint, David J Rogers

“…The algorithm is tested on artificial data generated using randomly selected values of both amplitudes and phases, and provides an accurate estimate of the input variables under all conditions. …”
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Solving Simulated Imbalanced Body Performance Data using A-SUWO and Tomek Link Algorithm by Febryan Grady, Joel Rizky Wahidiyat, Abba Suganda Girsang

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A Geometric Semantic Enhanced TomoSAR Reconstruction Algorithm in an Urban Area: Analysis and Application by Chunyi Wang, Qiancheng Yan, Xiaolan Qiu, Yitong Luo, Lingxiao Peng, Zhe Zhang

“…Further, the Cramér–Rao lower bound of this algorithm is derived to theoretically illustrate how it improves imaging accuracy. …”
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Automated Design Method Based on Boosting Algorithms for Improving the Radiation Performance of Microstrip Antenna Arrays by Sina Hasibi Taheri, Ali Lalbakhsh, Amirhassan Zareanborji, Slawomir Koziel

“…Among the evaluated boosting algorithms, LightGB achieved the highest prediction accuracy for both WAIM and antenna models. …”
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Development and Comparison of Interrupt-Based and Analog-to-Digital Converter Algorithms for Seed Counting in Precision Planters by A. Ghaffarnezhad, H. Navid, H. Karimi

“…Both algorithms effectively counted seeds larger in diameter than the distance between adjacent LEDs with remarkable accuracy. …”
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Strategic scheduling of the electric vehicle-based microgrids under the enhanced particle swarm optimization algorithm by Saeed Abdollahi Khou, Javad olamaei, Mohammad Hassan Hosseini

“…However, the persistent problem of PSOAs (particle swarm optimization algorithms) being affected by local optima emphasizes the need for more improvements to these algorithms. …”
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Application of WDXRF and EDXRF Spectrometry for Chemical Characterization in Oil Sludge using the Fundamental Parameter Algorithm by Aline Leone Muguet Pinto, Marcos Antonio Scapin, Alexandre Luiz de Souza, Cláudia Monteiro Paixão, Marycel Elena Barboza Cotrim, Sabine Neusatz Guilhen

“…The elements were quantified using the Fundamental Parameters (FP) algorithm. The objective of this work is to develop a methodology for determining both major and minor elements in oil sludge, contributing to a more effective management of this waste. …”
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Beyond accuracy: a framework for evaluating algorithmic bias and performance, applied to automated sleep scoring by Michal Bechny, Luigi Fiorillo, Julia van der Meer, Markus Schmidt, Claudio Bassetti, Athina Tzovara, Francesca Faraci

“…To address this gap, we propose a universal framework for quantifying both performance metrics and biases in predictive algorithmic tools. …”
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