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461
Enhancing the Prediction of Dam Deformations: A Novel Data-Driven Approach
Published 2025-03-01Subjects: Get full text
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462
Application of machine learning in depression risk prediction for connective tissue diseases
Published 2025-01-01“…Addressing the limitations of traditional assessment tools, six ML models were constructed using univariate analysis and the LASSO algorithm, with the categorical boosting (Catboost) model emerging as the best performer, demonstrating strong predictive ability across different depression severity levels (none_F1 = 0.879, mild_F1 = 0.627, moderate and severe_F1 = 0.588). …”
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463
Wireless Channel Prediction Using Artificial Intelligence With Imperfect Datasets
Published 2025-01-01Subjects: Get full text
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464
AVS3 intra frame prediction parallel algorithm based on minimum CU cost
Published 2025-02-01“…To address the time-consuming issue of audio video coding standard 3(AVS3) intra frame prediction, an intra frame prediction parallel algorithm based on the cost of the minimum coding unit (CU) was proposed. …”
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465
Sensor-Based Bermudagrass Yield Prediction Models Using Random Forest Algorithm in Oklahoma
Published 2025-04-01“…Current literature states that (i) machine learning algorithms are promising in agriculture, and (ii) proximity and multispectral sensors can be employed to predict biomass. …”
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466
Intelligent Recommendation Algorithm of Multimedia English Distance Education Resources Based on User Model
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467
Educational Behaviour Analysis Using Convolutional Neural Network and Particle Swarm Optimization Algorithm
Published 2022-01-01“…The experimental results show that the algorithm in this paper is an effective method for educational behaviur recognition.…”
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468
Design of performance evaluation method for higher education reform based on adaptive fuzzy algorithm
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469
An Enhanced Genetic Algorithm for Optimized Educational Assessment Test Generation Through Population Variation
Published 2025-04-01Subjects: “…genetic algorithm…”
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470
Seismic Vulnerability Assessment of Reinforced Concrete Educational Buildings Using Machine Learning Algorithm
Published 2024-01-01“…The main objective of this paper is to assess the vulnerability of reinforced concrete (RC) educational buildings in Dhaka city to seismic activity by utilizing machine learning (ML) algorithms. …”
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471
Comparing Geodesic Filtering to State-of-the-Art Algorithms: A Comprehensive Study and CUDA Implementation
Published 2025-05-01“…Additionally, we present a highly optimized GPU implementation featuring innovative wave-propagation algorithms and memory access optimization techniques that achieve a 200× speedup, making geodesic filtering practical for real-time applications. …”
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472
Comparative analysis of impact of classification algorithms on security and performance bug reports
Published 2024-12-01“…The aim of this research is to compare and analyze the prediction accuracy of machine learning algorithms, i.e., Artificial neural network (ANN), Support vector machine (SVM), Naïve Bayes (NB), Decision tree (DT), Logistic regression (LR), and K-nearest neighbor (KNN) to identify security and performance bugs from the bug repository. …”
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473
Evaluating machine learning algorithms for energy consumption prediction in electric vehicles: A comparative study
Published 2025-05-01Subjects: “…Energy consumption prediction…”
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474
KDDC: a new framework that integrates kmers, dataset filtering, dimension reduction and classification algorithms to achieve immune cell heterogeneity classification
Published 2025-05-01“…IntroductionIntegrating immune repertoire sequencing data with single cell sequencing data offers profound insights into the diversity of immune cells and their dynamic changes across various disease states.MethodsHere, we propose a novel KDDC framework that integrates kmers, dataset selection, dimensionality reduction and classification algorithms to facilitate the heterogeneous classification of immune cells.Results and DiscussionBy comparing various kmer length combinations across seven different classification algorithms, we found that B cell receptor-based cellsubset classification outperforms T cell receptor-based classification, achievingan average AUC of over 96%. …”
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475
Analytical MPC Algorithm Using Steady-State Process Model
Published 2025-02-01“…., large time delay or inverse response), the PID controllers may offer unsatisfactory results; on the other hand, a Model Predictive Control (MPC) algorithm based on a linear model may offer insufficient control quality when applied to nonlinear control plants. …”
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476
A non-dominated sorting based multi-objective neural network algorithm of ethylene glycol hydrogenation reactor in energy reduction
Published 2024-12-01“…A non-dominated sorting-based multi-objective neural network algorithm (MONNA) is applied to tackle problem optimization for EG production. …”
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477
Efficacy of a Metal Artifact Reduction Algorithm in CBCT Images of Teeth With Ceramic Brackets With/Without Coated Archwires: An In Vitro Study
Published 2025-02-01“…ABSTRACT Objective This study aimed to assess the efficacy of a metal artifact reduction (MAR) algorithm for cone‐beam computed tomography (CBCT) scans of teeth with ceramic brackets with/without coated archwires. …”
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478
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Two-Dimensional DOA Estimation for Coprime Planar Arrays: From Array Structure Design to Dimensionality-Reduction Root MUSIC Algorithm
Published 2025-02-01“…The virtualization of the array further increases the available DOFs, while the hole-filling strategy ensures better spatial coverage and continuity. On the algorithmic side, we introduce a dimensionality-reduction root MUSIC algorithm tailored for uniform planar arrays after virtualization. …”
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480
Metal artifact reduction combined with deep learning image reconstruction algorithm for CT image quality optimization: a phantom study
Published 2025-06-01“…Background Aiming to evaluate the effects of the smart metal artifact reduction (MAR) algorithm and combinations of various scanning parameters, including radiation dose levels, tube voltage, and reconstruction algorithms, on metal artifact reduction and overall image quality, to identify the optimal protocol for clinical application. …”
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