Angle Modulated Artificial Bee Colony Algorithms for Feature Selection by Gürcan Yavuz, Doğan Aydin

“…To present the effectiveness of the problem presentation with angle modulation and to determine the efficiency of the proposed method, six variants of Artificial Bee Colony (ABC) algorithms employ angle modulation for feature selection. …”
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Reliability analysis of wireless communication equipment based on model selection by SUN Jin, HU Jicheng, JIAO Yaqi, WANG Kun

“…The research of equipment failure distribution is the basis of reliability engineering. In view of the complex structure and failure mechanism of wireless communication equipment, numerous failure distribution types, difficulty in selecting and evaluating reliability models and other problems, this paper starts from the research on equipment failure distribution at the bottom level, takes typical wireless communication system vehicle self-organizing network equipment as the research object, and compares and analyzes the correlation coefficients and error values of equipment life exponential distribution, lognormal distribution and two-parameter Weibull distribution. …”
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AIN-Based Action Selection Mechanism for Soccer Robot Systems by Yin-Tien Wang, Zhi-Jun You, Chia-Hsing Chen

“…This AIN-based action-select provides an efficient and robust algorithm for robot role selection. …”
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Firefly Algorithm based Feature Selection for Arabic Text Classification by Souad Larabi Marie-Sainte, Nada Alalyani

“…The results confirm the efficiency of the proposed feature selection method in improving Arabic Text Classification accuracy. …”
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Analysis and Selection Method for Radar Echo Features in Challenging Scenarios by Yunlong Dong, Xiao Luo, Hao Ding, Ningbo Liu, Zheng Cao

“…Feature selection was then performed from the clusters based on mean feature value, coefficient of variation, and Bhattacharyya distance, yielding an optimal feature set for the current scenario. …”
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Scene categorization by Hessian-regularized active perceptual feature selection by Junwu Zhou, Fuji Ren

“…Abstract Decoding the semantic categories of complex sceneries is fundamental to numerous artificial intelligence (AI) infrastructures. …”
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Quality Improvement in Critical Care: Selection and Development of Quality Indicators by Carla A. Chrusch, Claudio M. Martin, The Quality Improvement in Critical Care Project

“…Caring for critically ill patients is complex and resource intensive. An approach to monitor and compare the function of different intensive care units (ICUs) is needed to optimize outcomes for patients and the health system as a whole. …”
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Optimizing Cervical Cancer Diagnosis with Feature Selection and Deep Learning by Łukasz Jeleń, Izabela Stankiewicz-Antosz, Maria Chosia, Michał Jeleń

“…The results demonstrate that optimized feature sets, paired with SVM classifiers, achieve classification performance comparable to those of CNNs while significantly reducing computational complexity. This finding underscores the potential of feature reduction techniques in creating efficient diagnostic frameworks. …”
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Investigation and selection of initial materials as possible sources for obtaining sorbents by I. A. Таgaev, S. U. Tursunova, L. S. Andriyko

“… The information about selection of initial materials based on bentonite, brown coal and technical soot for obtaining new sorbents is presented in this article. …”
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Selective electrocatalytic nitrate reduction to dinitrogen: Mechanisms, catalysts, and challenges by Jiayu Chen, Anni Wu, Yongfeng Xie, Yumin Zhang, Hu Zheng, Wei Teng

“…While extensive research has focused on ammonia production, selective N2 production remains challenging due to complex pathways, limitations in detection, and the difficulty of controlling reaction on the electrocatalysts. …”
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Unsupervised feature selection based on generalized regression model with linear discriminant constraints by Xiangguang Dai, Mingyu Guan, Facheng Dai, Wei Zhang, Tingji Zhang, Hangjun Che, Xiangqin Dai

“…Abstract Unsupervised feature selection (UFS) methods play a crucial role in improving the efficiency of extracting relevant information and reducing computational complexity in the context of big data analysis. …”
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THE USE OF GENETIC RESOURCES TO INCREASE THE EFFICIENCY OF POTATO BREEDING by E. A. Simakov, V. A. Zharova, A. V. Mityushkin, V. A. Biryukova, E. V. Rogozina, S. D. Kiru

“…This provides the possibility to identify transgressive recombinants and increases the efficiency of selection of new promising varieties with different maturity and target use.…”
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Economic efficiency of breeding and seed production in vegetable crops by A.N. Chuprov, D.S. Novikov, S.S. Pronin

“…At All-Russian Research Institute of Vegetable Breeding Production where the results of this complex system work can be exemplified. Cost efficiency of selection and seed production is analyzed, and methods of its perfection are offered. …”
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Limitations of XGBoost in Predicting Material Parameters for Complex Constitutive Models by Prates Pedro, Mitreiro Dário, Andrade-Campos António

“…These findings suggest that simply expanding the dataset or reducing dimensionality is insufficient to address the complexities of CPB′06. Instead, alternative approaches such as advanced feature selection, hybrid ML-physics-based models, or regularization techniques may be required to improve generalization. …”
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Persian Learners Mastering Kanji: Strategies, Use, and Efficiency by Zeinab Shekarabi, Fatemeh Tajfirooz

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IMPROVEMENT METHODICAL BASES COMPLEX ECONOMIC ANALYSIS OF THE BUILDING ENTERPRISE by R. T. Ismailov, N. F. Navruzbevova

“…It is considered and elaborated contents and intercoupling main stage undertaking the complex economic analysis external and internal ambience of the building enterprise as the main means for reception lacking for decision making of information, all-round, packed and holistic reflecting condition and efficiency to economic activity of the building enterprise. …”
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Time Complexity of Training DNNs With Parallel Computing for Wireless Communications by Pengyu Cong, Chenyang Yang, Shengqian Han, Shuangfeng Han, Xiaoyun Wang

“…Since practical wireless systems require retraining due to operating in open and dynamic environments, it is crucial to analyze the factors affecting the training complexity, which can guide the DNN architecture selection and the hyper-parameter tuning for efficient policy learning. …”
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The Utilization of Partial Least Squares for Simultaneous Feature Selection and Extraction by Elisavet Beki, Ntotsis Kimon

“…However, Partial Least Squares can be a challenging procedure especially in the case of multivariate multiple regression due to data characteristics and complexity. Thus, in this work we propose the use of Partial Least Squares method as a variable selection technique in linear regression tasks that involve high dimensional spectral data sets. …”
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Radio Frequency Link and User Selection Algorithm for 5G Mobile Communication System by Zhengnan Lv, Zhenghao Xi

“…The scheme aims to maximize the system spectral efficiency and introduces the net spectral efficiency as a bridge to decouple the analogy precoding design from the digital precoding design, thus significantly reducing the computational complexity. …”
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From Research Project to Research Portfolio: Meeting Scale and Complexity by Jonathan Linton, Nicholas Vonortas

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