Analysis of electromagnetic compatibility in local complexes of radioequipment by V. I. Mordachev, E. V. Sinkevich, D. A. Tsyanenka, Y. Y. Arlou

“…The technique for step-by-step computer-based analysis and diagnostics of electromagnetic compatibility (EMC) of radioequipment of complex on-board and local ground systems is improved. …”
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COMPLEX FOR MONITORING OF SEWAGE OPTICAL DENSITY CHANGES by V. A. Alekseev, V. P. Usoltcev, S. I. Yuran, D. N. Shulmin

“…Experimentally the efficiency of a complex in case of measurement of changes of optical density of the analysable environments is shown. …”
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Mineral composition of terrigenous components in loess and clay deposits of Western Mongolia by T. G. Ryashchenko

“…Variations in mineral associations of the studied objects were established related both to their belonging to the selected geological and genetic complexes and the possibility of eolian process effects. …”
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Research on the GST gene family in Salix lindleyana reveals Trp162 and Pro202 as key amino acids controlling the release rate of GS-X by Nan Xu, Yu-Wen Wang, Chang Qu, Zhao-Qun Wu, Xiu-Xing Zhang, Shi-Yi Wang, Ye-Bo Yang, Jing Xue, Hai-Ling Yang

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From Synthesis to Application: Advances in Macrocyclic Complexes by Nabaa Abbas, Ammar Jihad Alabdali, Mohammed Hussein Al-Mashhadani, Zamzam Alhuwaymil, Mohammed Saeed Alyami, Sohad Abdulkhaleq Alshareef

“…The multifaceted applications of these complexes span various domains in pharmaceuticals as they enhance drug solubility and bioavailability; in catalysis, they facilitate oxidation reaction and water splitting processes; in sensing, calixarenes serve as selective ion and molecule detectors; and in biomedicine, certain macrocyclic compounds exhibit potential in targeting cancer stem cells. …”
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Remote Sensing of Particle Absorption Coefficient of Pigments Using a Two-Stage Framework Integrating Optical Classification and Machine Learning by Xietian Xia, Shaohua Lei, Hui Lu, Zenghui Xu, Xiang Li, Xing Chen, Niancheng Hong, Jie Xu, Kun Shi, Jiacong Huang

“…The particle absorption coefficient of pigments (<i>a</i>_ph(λ)), a critical indicator of phytoplankton spectral absorption properties, is essential for bio-optical models and water quality monitoring. …”
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Adaptive Equalizer Using Selective Partial Update Algorithm and Selective Regressor Affine Projection Algorithm over Shallow Water Acoustic Channels by Masoumeh Soflaei, Paeiz Azmi

“…In this paper, we apply the family of selective regressor affine projection algorithms (SR-APA) and the family of selective partial update APA (SPU-APA) which have low computational complexity that is one of the important factors that influences adaptive equalizer performance. …”
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An Evolutionary Algorithm: An Enhancement of Binary Tournament Selection for Fish Feed Formulation by Cai-Juan Soong, Rosshairy Abd Rahman, Razamin Ramli, Mohammed Suhaimee Abd Manaf, Chek-Choon Ting

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

“…The proposed method for reducing condition indicators successfully decreased their number by approximately 3.27 times, simultaneously significantly reducing computational time of prediction, reaching up to 50% reduction for complex models. In doing so, we lowered computational demands and improved classification efficiency without compromising accuracy for ML models. …”
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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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SHAP-Based Feature Selection for Enhanced Unsupervised Labeling by Mary Anne Walauskis, Taghi M. Khoshgoftaar

“…Lastly, unsupervised SHAP-based feature selection improves label quality when comparing feature subsets to the full-feature dataset while reducing computational complexity. …”
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Effects of feature selection and normalization on network intrusion detection by Mubarak Albarka Umar, Zhanfang Chen, Khaled Shuaib, Yan Liu

“…However, the advent of larger IDS datasets has negatively impacted the performance and computational complexity of AI-based IDSs. Many researchers used data preprocessing techniques such as feature selection and normalization to overcome such issues. …”
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Comparison of selected self-consumption regulatory approaches in Europe by Armando Moreno, João Mello, José Villar

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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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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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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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