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q-Fractional Hesitant Fuzzy Sets and Their Correlation Coefficients: Multi-Criteria Decision Making Technique for Selection of Agricultural Land to Cultivate Apples Crops
Published 2025-01-01“…The q-Fractional Fuzzy Sets (q-FrFSs) offers information in Membership Grade (MG) and Non-membership Grade (NMG) of an object; however, both grades have the hesitancy factor because complex information usually does not give single MG and single NMG. …”
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Optimal selection of diagnostic method for diabetes mellitus using complex bipolar fuzzy dynamic data
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Multi strategy Horned Lizard Optimization Algorithm for complex optimization and advanced feature selection problems
Published 2025-06-01“…These findings affirm the potential of mHLOA as a powerful optimization framework for advanced feature selection and complex optimization problems.…”
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Explainable AI for Enhancing Efficiency of DL-Based Channel Estimation
Published 2025-01-01“…Hence the designed XAI-CHEST delivers a smart low-complex one-shot input feature selection methodology for high-dimensional model input that can further improve the overall performance while optimizing the architecture of the employed model. …”
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The Significant Effects of Threshold Selection for Advancing Nitrogen Use Efficiency in Whole Genome of Bread Wheat
Published 2025-01-01“…ABSTRACT Currently in wheat breeding, genome wide association studies (GWAS) have successfully revealed the genetic basis of complex traits such as nitrogen use efficiency (NUE) and its biological processes. …”
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Occupational mismatch in the labour market of selected EU countries
Published 2024-01-01“…Regardless of occupation complexity, improvements and deteriorations in labour market conditions affect all groups uniformly. …”
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Mode Coresets for Efficient, Interpretable Tensor Decompositions: An Application to Feature Selection in fMRI Analysis
Published 2024-01-01“…In this paper, we introduce an efficient subset-based form of the Tucker decomposition, by selecting coresets from the tensor modes such that the resulting core tensor can well-approximate the full tensor. …”
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Boosting feature selection efficiency with IMVO: Integrating MVO and mutation-based local search algorithms
Published 2025-06-01“…Feature selection is crucial in machine learning and data mining, significantly impacting model performance and efficiency by reducing dimensionality, mitigating overfitting, and improving interpretability. …”
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SiFSO: Fish Swarm Optimization-Based Technique for Efficient Community Detection in Complex Networks
Published 2020-01-01“…Efficient community detection in a complex network is considered an interesting issue due to its vast applications in many prevailing areas such as biology, chemistry, linguistics, social sciences, and others. …”
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Cost-Efficient RSSI-Based Indoor Proximity Positioning, for Large/Complex Museum Exhibition Spaces
Published 2025-04-01“…However, it suffers from low accuracy (in NLOS traffic), noise, and multipath fading issues. In large complex spaces, such as museums, where heavy visitor traffic is expected to seriously impact the ability to maintain LOS, RSSI coupled with Bluetooth Low Energy (BLE) seems ideal in terms of market availability, cost-/energy-efficiency and scalability that affect competing technologies, provided it achieves adequate accuracy. …”
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The Method of Selecting Boiler Houses under Technical Re-Equipment in a Mini-CHP
Published 2023-08-01“…The significance of the results lies in the fact that the proposed methodology makes it possible to increase the validity of decisions when transforming a boiler house into a mini-CHPP. The use of the selection results will lead to an increase in the economic efficiency of the heat supply system. …”
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Influence of Mismatch of Parameters of Quadrature Channels on the Work of the Adaptive Selection System for Moving Targets
Published 2020-07-01“…Materials and methods. The method of complex variable is used, in which the input and output signals of the adaptive selection system for moving targets are represented as a pair of complex-conjugate components. …”
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Optimizing Input Selection for Cardiac Model Training and Inference: An Efficient 3D Convolutional Neural Networks-Based Approach to Automate Coronary Angiogram Video Selection
Published 2025-03-01“…Objective: To develop an efficient and automated method for selecting appropriate coronary angiography videos for training deep learning models, thereby improving the accuracy and efficiency of medical image analysis. …”
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Algorithm for Selection Equipment to Reduce the Technogenic Effect on the Environment
Published 2022-03-01“…The work is devoted to the development of an algorithm for selection dust and gas purification equipment in order to reduce the anthropogenic impact on the environment from emissions of the heat, power and chemical industries, which are sources of complex environmental pollution. …”
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An investigation of organizational structure in selected hospitals of Tehran and its relationship with hospital performance indicators
Published 2016-07-01“…The data were analyzed by Mann-Whitney test, Kruskal-Wallis test, and Spearman correlation coefficients using SPSS software. Results: According to our results, among the dimensions of organizational structure, the complexity was in midrange, while centralization and formalization were in the high level. …”
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An algorithm for selecting the parameters of a supercapacitor as part of an energy storage system of an electrical complex in case of voltage dips
Published 2024-04-01“…In order to achieve the universality of the written algorithm for selecting a storage system based on supercapacitors, experiments were conducted to identify similar mathematical dependencies at different voltage and power levels of electrical complexes.…”
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