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Estimation and evaluation of iron reserves in the eastern area of Eileh1 mine, Razavi Khorasan province
Published 2024-12-01“…This is attributed to Kriging’s ability to account for the spatial structure of the deposit, its unbiased nature, and its lower estimation variance. Introduction The evaluation of mineral reserves is conducted using various methods, which differ in calculation algorithms, accuracy, speed, the state of the mineral, and the characteristics of exploration activities (Madani, 1997; Ahmadi, 2010). …”
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Providing a Framework for Assessing and Evaluating Network Data Studies in the Fight Against Social Anomalies
Published 2024-09-01“…Additionally, clustering techniques, such as k-means, were employed to identify different forms of theft crimes. Classification algorithms, including neural networks, Bayesian rules, Bayesian navigation, and support vector machines, were used to predict theft crimes. …”
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Construction of teaching quality evaluation model of online dance teaching course based on improved PSO-BPNN
Published 2025-05-01“…However, traditional teaching quality evaluation methods such as neural network models have low efficiency, insufficient accuracy, and are prone to ignoring individual differences, making it difficult to better adapt to the online dance teaching mode. …”
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Evaluation of the Finis Swimsense® and the Garmin Swim™ activity monitors for swimming performance and stroke kinematics analysis.
Published 2017-01-01“…<h4>Aims</h4>The study aims were to evaluate the validity of two commercially available swimming activity monitors for quantifying temporal and kinematic swimming variables.…”
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Structural and population-based evaluations of TBC1D1 p.Arg125Trp.
Published 2013-01-01Get full text
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A dataset of annotated free comments on the sensory perception of madeleines for benchmarking text mining techniquesRecherche.Data.Gouv
Published 2025-02-01“…A total of 200 consumers were recruited and divided into two groups of 100. Each group evaluated six madeleine samples (five distinct samples and one replicate) in a sensory analysis laboratory, using different free comment data collection modes. …”
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Establishment and Application of Passenger Flow Safety Management Evaluation Model with Entropy Weight and TOPSIS for Metro Stations
Published 2024-12-01“…Subsequently, the TOPSIS method is used to establish a decision model that calculates the closeness of each station’s management practice to an optimal plan, allowing for the ranking of different stations’ safety management practices. The algorithms are developed and optimised using MATLAB, enabling efficient calculation and analysis. …”
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Blockchain-Enabled Federated Learning to Enhance Security and Privacy in Internet of Medical Things (IoMT)
Published 2023-01-01Get full text
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Predictive Technology Assessment by Means of a Structure-Based Method of Machine Learning
Published 2020-11-01“…The starting point is an adaptive algorithm that performs a dynamic tolerance band formation based on different criteria, emphasizing on adaptive characteristic segmentation. …”
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Random Strip Peeling: A novel lightweight image encryption for IoT devices based on colour planes permutation
Published 2025-04-01“…The diffusion stage then employs an XOR matrix generated by the Logistic Map. Different evaluation metrics, such as entropy analysis, key sensitivity, statistical and differential attacks resistance, and robustness analysis demonstrate the proposed algorithm's lightweight, robust, and efficient. …”
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Machine learning assisted classification of staphylococcal biofilm maturity
Published 2025-06-01“…To circumvent these disadvantages, a machine learning algorithm was designed and developed to aid in classification of biofilm images.The designed algorithm was capable of identifying pre-set characteristics of biofilms and able to discriminate between the six different classes in the proposed framework. …”
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Robust, fully-automated assessment of cerebral perivascular spaces and white matter lesions: a multicentre MRI longitudinal study of their evolution and association with risk of de...
Published 2025-01-01“…Methods: We developed a robust algorithm to automatically assess PVS count and size on clinical MRI, and investigated 1) their relationship with dementia risk and brain atrophy in participants without dementia, 2) their longitudinal evolution, and 3) their potential use as a screening tool in simulated clinical trials. …”
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A Fused Multiscale Pictorial Sequence Learning Mechanism Applied to Pavement Detection
Published 2025-01-01“…Considering that most pavement anomaly detection algorithms are difficult to play a stable role in data related to different distributions of pavement anomalies, this paper proposes a pavement anomaly detection algorithm based on multi-scale fusion time series information. …”
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Novel Approaches to Improve Iris Recognition System Performance Based on Local Quality Evaluation and Feature Fusion
Published 2014-01-01“…Finally, all tracks’ information is fused according to the weights of different tracks. The experimental results based on subsets of three public and one private iris image databases demonstrate three contributions of this paper. (1) Our experimental results prove that partial iris image cannot completely replace the entire iris image for iris recognition system in several ways. (2) The proposed quality evaluation algorithm is a self-adaptive algorithm, and it can automatically optimize the parameters according to iris image samples’ own characteristics. (3) Our feature information fusion strategy can effectively improve the performance of iris recognition system.…”
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