Impact of Correlated Measurement Errors on Some Efficient Classes of Estimators by Anoop Kumar, Shashi Bhushan, Shivam Shukla, Walid Emam, Yusra Tashkandy, Rajesh Gupta

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Estimation of Unknown Object Measures in a Chemical Weighing Design with Correlated Errors by Małgorzata Graczyk, Bronisław Ceranka

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Improving the efficiency of learning-based error mitigation by Piotr Czarnik, Michael McKerns, Andrew T. Sornborger, Lukasz Cincio

“…Error mitigation will play an important role in practical applications of near-term noisy quantum computers. …”
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Study of the interval width of features for improving forecasting efficiency of the transport flow intensity by I. N. Pugachev, N. G. Sheshera, D. Yе. Grigorov

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Kendallknight: An R package for efficient implementation of Kendall's correlation coefficient computation. by Mauricio Vargas Sepulveda

“…The kendallknight package introduces an efficient implementation of Kendall's correlation coefficient computation, significantly improving the processing time for large datasets without sacrificing accuracy. …”
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Estimation of Filtration Efficiency – from Simple Correlations to Digital Fluid Dynamics by Przekop Rafał

“…The classical theory of depth filtration of aerosol particles in fibrous structures is based on the assumption of existing single fibre efficiency, which may be used to recalculate the overall efficiency of entire filter. …”
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Energy-Efficient Node Selection Algorithms with Correlation Optimization in Wireless Sensor Networks by Hongju Cheng, Zhihuang Su, Daqiang Zhang, Jaime Lloret, Zhiyong Yu

“…The sensing data of nodes is generally correlated in dense wireless sensor networks, and the active node selection problem aims at selecting a minimum number of nodes to provide required data services within error threshold so as to efficiently extend the network lifetime. …”
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Correlation of Calibration Parameters for HPGe Detector Efficiency Based on Monte Carlo Simulation by LI Yan1, SHAN Chenyu2, GU Weiguo1, WANG Dezhong1

“…Moreover, no significant correlation is observed between changes in detection efficiency and variations in eccentricity or distance. …”
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Novel efficient estimators of finite population mean in simple random sampling by Khazan Sher, Muhammad Iqbal, Hameed Ali, Soofia Iftikhar, Maggie Aphane, Ahmed Audu

“…This study presents a methodological advancement in survey sampling, focusing on the development of efficient estimators for the finite population mean under Simple Random Sampling without Replacement (SRSWOR). …”
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Efficient Multipath Mitigation in GNSS Using Dynamic Selection and Weighting of Early-Late Correlators by Ayoub Bengherabi, Mustapha Flissi, Khaled Rouabah, Salim Attia, Diana W. Dawoud, Yassine Himeur, Shadi Atalla, Wathiq Mansoor

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TransformerPayne: Enhancing Spectral Emulation Accuracy and Data Efficiency by Capturing Long-range Correlations by Tomasz Różański, Yuan-Sen Ting, Maja Jabłońska

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An adaptive dual distillation framework for efficient remaining useful life prediction by Xiang Cheng, Jun Kit Chaw, Shafrida Sahrani, Mei Choo Ang, Saraswathy Shamini Gunasekaran, Moamin A. Mahmoud, Halimah Badioze Zaman, Yanfeng Zhao, Fuchen Ren

“…These results highlight A-DDF’s potential for efficient, high-accuracy predictive maintenance on edge devices. …”
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Some ratio type predictive estimators for estimation of the average water level of a river using season as an auxiliary attribute by Muhammad Rafaqat, Hina Khan

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Efficient sensor network planning based on approximate potential games by Su-Jin Lee, Young-Jin Park, Han-Lim Choi

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Growing Correspondence Seeds for Efficient and Accurate Satellite DSM Extraction by Amin Sedaghat, Nazila Mohammadi

“…In this article, a precise and efficient method for DSM extraction from satellite images, called SATellite-growing correspondence seeds (Sat-GCS), is proposed. …”
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Exploring the adsorption desulfurization efficiency using RSM and ANN methodologies by Mahyar Mansouri, Mohsen Shayanmehr, Ahad Ghaemi

“…Abstract Zeolites, known for their extensive surface area and customizable adsorption characteristics, demonstrate significant efficiency in adsorptive desulfurization. This research investigates the application of Response Surface Methodology (RSM) and Artificial Neural Networks (ANN) for modeling and optimizing the sulfur adsorption performance of modified zeolites. …”
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Physics-based parameters selection and machine learning driven prediction of pool boiling bubble departure diameter by Uzair Sajjad, Yu-Hao Chu, Haseeb Yaqoob, Akash Sengupta, Hafiz Muhammad Ali, Khalid Hamid, Wei-Mon Yan

“…A comparison was also done to the existing correlations and it was found that neural networks have much better efficiency and accuracy than the empirical correlations for the considered data range and thus can be an essential tool to predict the bubble diameter.…”
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Enhancing Efficiency: Halton Draws in the Generalized True Random Effects Model by David H. Bernstein

“…Furthermore, increasing the number of Halton draws either improves or has no detrimental impact on correlation, mean squared error, relative bias, and upward bias for persistent, transient, and total technical efficiency. …”
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Integrating image segmentation and auxiliary data for efficient estimation of FVC and AGB by Xifeng Zhang, Lu Xu, Yaxiao Li, Ying Yang, Jianguo Li, Hongyuan Ma

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An Efficient Intersection Over Union Algorithm for 3D Object Detection by Sazan Ali Kamal Mohammed, Mohd Zulhakimi Ab Razak, Abdul Hadi Abd Rahman, Maria Abu Bakar

“…Therefore, in this study, we first analyze the existing IoU loss functions in order to propose an efficient intersection over union (EIoU) algorithm. …”
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