A Polar Coding Scheme With Selected Index Modulation by Si-Yu Zhang, Jia-Qi Zhang, Xin-Wei Yue, Chao-Wei Wang

“…Sophisticated polar decoding enhances the corresponding performance while degrading the coding rate and complexity. For better decoding performance and efficiency, this paper presents a polar coding scheme with selected index modulation (PC-SIM). …”
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Efficiency Evaluation of Segmentation Algorithms for AFM Images by V. V. Rabtsevich, V. Yu. Tsviatkou

“…Segmentation algorithms realization in Matlab and in the specialized software package Gwyddion are considered. Algorithms efficiency was assessed using segments number, uniformity brightness within a segment, contrast at the border of adjacent segments, and a complex criterion that takes into account the uniformity of segments brightness, their number and size.…”
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Hammer Grain Crushers: Classification and Efficiency Assessment by Artem A. Mezenov, Nikolai N. Grigorev, Nikolai I. Kashevarov

“…The authors introduced a complex performance index to assess the efficiency of pneumatic and mechanical grain crushers. …”
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Efficient Progressive Mamba Model for Hyperspectral Sequence Unmixing by Yang Liu, Shujun Liu, Huajun Wang

“…To address this, we propose an efficient progressive hyperspectral sequence unmixing model (ProMU), introducing a multistage progressive context selection strategy that ensures computational efficiency while alleviating the performance degradation caused by the length mismatch between spectral and abundance sequences. …”
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Efficient optimization of the Held–Karp lower bound by Righini, Giovanni

“…In this paper it is shown that the selection of vertex $\bar{p}$ can be optimized, to obtain the largest possible Held–Karp lower bound, with the same worst-case computational time complexity required to compute a single minimum spanning tree. …”
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An Efficient Dropout for Robust Deep Neural Networks by Yavuz Çapkan, Aydın Yeşildirek

“…These findings demonstrate the potential of the proposed technique to improve model robustness and training efficiency and provide an alternative in complex classification tasks.…”
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Metal Complexes of Bispidine Derivatives: Achievements and Prospects for the Future by Altynay B. Kaldybayeva, Valentina K. Yu, Feyyaz Durap, Murat Aydemir, Khaidar S. Tassibekov

“…Multidentate bispidine ligands, including tetra-, penta-, hexa-, hepta-, and octadentate variants, exhibit strong coordination tendencies due to their intrinsic rigidity, significant reorganization potential, and ability to efficiently encapsulate metal ions. These structural attributes profoundly influence the thermodynamic stability, metal ion selectivity, redox behavior, and spin-state configuration of the resulting complexes. …”
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Cost optimization on example of hotel-restaurant complex enterprises by Volkovska I.V.

“…The author has developed the sequence of cost optimization on the example of enterprises of the hotel-restaurant complex, which helps to structure the process of cost management. …”
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Stable and inert manganese complexes for magnetic resonance imaging by Ndiaye, Daouda, Tóth, Éva

“…Thanks to its five unpaired electrons and slow electron spin relaxation, Mn$^{2+}$ is a very efficient relaxation agent. Given the high doses required for in vivo MRI, Mn$^{2+}$ needs to be chelated in thermodynamically stable and kinetically inert complexes, despite its natural presence in the body. …”
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Integrating Correlation-Based Feature Selection and Clustering for Improved Cardiovascular Disease Diagnosis by Agnieszka Wosiak, Danuta Zakrzewska

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Differential Evolution with Autonomous Selection of Mutation Strategies and Control Parameters and Its Application by Zhenyu Wang, Zijian Cao, Zhiqiang Du, Haowen Jia, Binhui Han, Feng Tian, Fuxi Liu

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Econometric Modeling to Measure the Efficiency of Sharpe’s Ratio with Strong Autocorrelation Portfolios by Karime Chahuán-Jiménez, Rolando Rubilar-Torrealba, Hanns de la Fuente-Mella

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Self-trainable and adaptive sensor intelligence for selective data generation by Arghavan Rezvani, Wenjun Huang, Hanning Chen, Yang Ni, Mohsen Imani

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The analysis of landscape design and plant selection under deep learning by Lian Li, JiYon Lee

“…Abstract This paper explores the application of deep learning (DL) techniques in landscape design and plant selection, aiming to enhance design efficiency and quality through automated plant leaf image recognition (PLIR). …”
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Data selection strategies for minimizing measurement time in materials characterization by Alexander Liehr, Kristina Dingel, Daniel Kottke, Sebastian Degener, David Meier, Bernhard Sick, Thomas Niendorf

“…Obviously, this kind of approach is extremely time-consuming and, eventually, not efficient. The present study highlights that specific selection strategies, taking into account the prevailing microstructure of the alloy in focus, can decrease counting times in X-ray energy dispersive diffraction experiments without any detrimental effect on data quality for the subsequent analysis. …”
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EIM: A Novel Evolutionary Influence Maximizer in Complex Networks by Vahideh Sahargahi, Vahid Majidnezhad, Saeid Taghavi Afshord, Yasser Jafari

“…This article introduces a double-chromosome evolutionary algorithm to tackle this challenge efficiently. This method introduces a smart operator for stochastic selection based on the node degree to initialize the primary solutions. …”
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Unsupervised selective labeling for semi-supervised industrial defect detection by Jian Ge, Qin Qin, Shaojing Song, Jinhua Jiang, Zhiwei Shen

“…This has motivated a shift towards semi-supervised learning (SSL), which leverages labeled and unlabeled data to improve learning efficiency and reduce annotation costs. This work proposes the unsupervised spectral clustering labeling (USCL) method to optimize SSL for industrial challenges like defect variability, rarity, and complex distributions. …”
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Complex interspecific and intersexual patterns of wing design in Heliconius butterflies by Luis Mendoza-Cuenca

“…The results highlight the complexity of traits involved in the evolutionary designs of wings in Lepidoptera.…”
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A YOLO-Based Method for Head Detection in Complex Scenes by Ming Xie, Xiaobing Yang, Boxu Li, Yingjie Fan

“…Secondly, it was found in practical operations that the original IoU function has a serious problem with overlapping detection in complex scenes. There is an IoU function that can ensure that the final selection boxes cover the object as accurately as possible without overlapping. …”
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Nonlocal flat optics for size-selective image processing and denoising by Sandeep Kumar Chamoli, Chunqi Jin, Yandong Fan, Mehdi Kiani, Heedong Goh, Chen Huang, Shuyu Guo, Yuntong Wang, Fei Zhu, Guohua Xing, Bo Li, Tian Bai, Andrea Alù, Wei Li

“…So far, the proposed devices have been focusing on canonical operations, such as differentiations to perform edge detection across all objects in a complex scene. Yet, undesired background noise and clutter can hinder such operations, requiring target selection with digital post-processing which inherently limits the overall accuracy, efficiency and speed. …”
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