Improved Intelligent Condition Monitoring with Diagnostic Indicator Selection by Urszula Jachymczyk, Paweł Knap, Krzysztof Lalik

“…In this study, a predictive maintenance (PdM) system focused on feature selection for the detection and classification of simulated defects in wind turbine blades has been developed. …”
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An Integrated Preprocessing and Drift Detection Approach With Adaptive Windowing for Fraud Detection in Payment Systems by Hadi M. R. Al Lawati, Anazida Zainal, Bander Ali Saleh Al-Rimy, Mohammad Al-Azawi, Mohamad Nizam Kassim, Sultan Ahmed Almalki, Tami Abdulrahman Alghamdi

“…The method uses Mutual Information and SelectKBest for selecting important features, applies ADASYN to handle class imbalance, and adopts Convolutional Neural Networks (CNN) to capture complex transaction patterns. …”
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Novel roles for selected genes in meiotic DNA processing. by Philip W Jordan, Franz Klein, David R F Leach

“…Based on our selection procedure, 81 deletion mutants were constructed and tested for phenotypic abnormalities. …”
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SF-DETR: A Scale-Frequency Detection Transformer for Drone-View Object Detection by Haotong Wang, Junwei Gao

“…Drone-based object detection faces critical challenges, including tiny objects, complex urban backgrounds, dramatic scale variations, and high-frequency detail loss during feature propagation. …”
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Towards Fast Implementation of Complex RNS Components on FPGAs by Sabbagh Molahosseini Amir, Alsadat Emrani Azadeh

“…The residue number system (RNS) with its inherent parallelism can also be used to enhance the performance of implementation of comput-ing algorithms on FPGAs. However, complex RNS operations such as residue to binary (reverse) conversion, sign detection, scaling, magnitude comparison and overflow detection have not been efficiently implemented on FPGAs until now. …”
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AEMF: An Attention-Based Efficient and Multifeature Fast Text Detector by Wanqi Ma, Chaoyu Yang, Jie Yang, Jian Wu

“…Yet, in complex industrial scenarios, traditional detection methods are often unable to meet the requirements, which suffer from many problems of low accuracy and efficiency. …”
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Some innovations in pig farming and their zootechnical assessment by V. I. Khalak, B. V. Gutyj, O. M. Bordun

“…The purpose of this work was to investigate the life expectancy, duration of breeding use, and reproductive qualities of sows of the large white breed of French selection, based on the obtained data to develop a new way of evaluating sows according to their operational value, as well as to calculate the economic efficiency of their use in the conditions of the industrial complex. …”
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Complex Service Desk System for Incident Management Automation by Michal Dostál

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Selected issues of state regulation of housing and communal services by E. V. Zgonnikov, E. A. Astakhova

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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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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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Comparison of selected self-consumption regulatory approaches in Europe by Armando Moreno, João Mello, José Villar

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Complexity Quantification of Driving Scenarios with Dynamic Evolution Characteristics by Tianyue Liu, Cong Wang, Ziqiao Yin, Zhilong Mi, Xiya Xiong, Binghui Guo

“…The correlation between scenario complexity and object detection algorithm performance further proves the effectiveness of the method. …”
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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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Disease Detection Algorithm for Tea Health Protection Based on Improved Real-Time Detection Transformer by Zhijie Lin, Zilong Zhu, Lingling Guo, Jingjing Chen, Jiyi Wu

“…Thus, there is an urgent demand for automated and efficient approaches to accurately detect and classify tea diseases. …”
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Unveiling optimal mother wavelets by COPRAS Method Analyzing speech signals despite face mask and shield obstacles by B. Marxim Rahula Bharathi, N. S. Balaji, R. Meena, M. Raja Chandra Sekar, Krishna Moorthy Sivalingam, Yan Yafang, P. V. Elumalai

“…This work proposes the COPRAS (COmplex PRoportional ASsessment) technique to select the appropriate mother wavelet function. …”
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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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