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Estimation of the Visibility in Seoul, South Korea, Based on Particulate Matter and Weather Data, Using Machine-learning Algorithm
Published 2022-08-01“…Through learning and validation of each ML algorithm, the extreme gradient boosting (XGB) algorithm was found to be most suitable for visibility estimations (bias = 0 km, root mean square error (RMSE) = 0.08 km, and r = 1 for training data set). …”
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2603
A Manifold-Based Dimension Reduction Algorithm Framework for Noisy Data Using Graph Sampling and Spectral Graph
Published 2020-01-01“…This paper proposes a new manifold-based dimension reduction algorithm framework. It can deal with the dimension reduction problem of data with noise and give the dimension reduction results with the deviation values caused by noise interference. …”
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Inside the Black Box: Detecting and Mitigating Algorithmic Bias Across Racialized Groups in College Student-Success Prediction
Published 2024-06-01“…Because predictive algorithms rely on historical data, they capture societal injustices, including racism. …”
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Practice of an improved many-objective route optimization algorithm in a multimodal transportation case under uncertain demand
Published 2025-01-01Subjects: Get full text
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Innovative approaches to English pronunciation instruction in ESL contexts: integration of multi-sensor detection and advanced algorithmic feedback
Published 2025-01-01“…IntroductionTeaching English pronunciation in an English as a Second Language (ESL) context involves tailored strategies to help learners accurately produce sounds, intonation, and rhythm.MethodsThis study presents an innovative method utilizing advanced technology and algorithms to enhance pronunciation accuracy, fluency, and completeness. …”
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Exploring the Mechanism of Canmei Formula in Preventing and Treating Recurrence of Colorectal Adenoma Based on Data Mining and Algorithm Prediction
Published 2025-02-01Subjects: Get full text
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MONet: cancer driver gene identification algorithm based on integrated analysis of multi-omics data and network models
Published 2025-02-01“…Based on integrated analysis of Multi-Omics data and Network models, we present MONet, a novel cancer driver gene identification algorithm. Our method utilizes two graph neural network algorithms on protein-protein interaction (PPI) networks to extract feature vector representations for each gene. …”
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The "Low Slow and Small" UAV target detection and tracking algorithm based on improved YOLOv7 and DeepSort
Published 2025-02-01“…To improve the accuracy of Low altitude unmanned aerial vehicle(UAV) target detection and tracking, an improved UAV detection algorithm based on YOLOv7 and DeepSort framework is proposed. …”
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RF Field Build-Up inside a Manned Space Vehicle Using Novel Ray-Tracing Algorithm
Published 2013-01-01Get full text
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A Spectrum Sensing Method Based on Signal Feature and Clustering Algorithm in Cognitive Wireless Multimedia Sensor Networks
Published 2017-01-01“…Then, the clustering algorithm is used to classify and test the signal features. …”
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Split Bregman Iteration Algorithm for Image Deblurring Using Fourth-Order Total Bounded Variation Regularization Model
Published 2013-01-01“…Based on this model, we introduce an improved split Bregman iteration algorithm to obtain the optimum solution. The convergence property of our algorithm is provided. …”
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THE ALGORITHM FOR DETERMINING TIMING OF RADIOTHERAPY SESSION COMPONENTS FOR DIFFERENT METHODS OF ONCOLOGY PATIENTS IRRADIATION AT THE STAGE OF RADIOTHERAPY PLANNING
Published 2017-02-01“…The objective of this work was to define components that influence on the treatment session and to develop an algorithm that allows to determine the duration of the patient treatment sessions with the use of different methods of radiotherapy and tumor localization.In order to determine radiation therapy session components, that cause the dominant influence on the session timing, the authors carried out a retrospective analysis of each fraction of the total sample of cancer patients treatment plans with most often irradiated with the use of linear accelerators in the NCCB localizations of tumors (more than 5200 fractions).The appropriate algorithms were designed to assess the results of the analysis of time parameters of radiation therapy oncology patient session during its pre-radiation preparation. …”
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Probability Mechanism Based Particle Swarm Optimization Algorithm and Its Application in Resource-Constrained Project Scheduling Problems
Published 2019-01-01“…In this paper, a new probability mechanism based particle swarm optimization (PMPSO) algorithm is proposed to solve combinatorial optimization problems. …”
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Developing a Machine Learning–Based Automated Patient Engagement Estimator for Telehealth: Algorithm Development and Validation Study
Published 2025-01-01“…In addition, we present experiments conducted on this dataset, along with real-world tests that demonstrate the effectiveness of our method. ResultsOur algorithm reports a 40% improvement in root mean square error over state-of-the-art methods for engagement estimation. …”
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Optimization Analysis Method of New Orthotropic Steel Deck Based on Backpropagation Neural Network-Simulated Annealing Algorithm
Published 2021-01-01“…Finally, to minimize the comprehensive stress amplitude, a BPNN and SA algorithm were used to optimize the construction parameters, and the optimization results for the conventional weight coefficients were compared with the construction parameters. …”
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Multi-Objective Optimization Scheduling of a Wind–Solar Energy Storage Microgrid Based on an Improved OGGWO Algorithm
Published 2025-01-01Subjects: “…oppositional gradient grey wolf optimization (OGGWO) algorithm…”
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Improved Generalized Single-Source Tangential Equivalence Principle Algorithm with Contact-Region Modeling Method for Array Structures
Published 2018-01-01“…An improved generalized single-source tangential equivalence principle algorithm (GSST-EPA) is proposed for analyzing array structures with connected elements. …”
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