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321
System Optimization of Talent Life Cycle Management Platform Based on Decision Tree Model
Published 2022-01-01“…Aiming at the algorithm’s shortcomings in solving big data, this study will improve the algorithm through the MapReduce programming model to achieve parallelization of the process and construction of the function. …”
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322
A VNS-NPGA approach to multi-objective optimization of hub-and-spoke logistics network
Published 2025-04-01“…To realize low-cost freight transport in the logistics network and improve the network operation efficiency, a multi-objective optimization model and the corresponding algorithm for a hub-and-spoke logistics network are proposed based on the multi-level location of hub points and channels layout. …”
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323
Enhancing Sustainable Manufacturing in Industry 4.0: A Zero-Defect Approach Leveraging Effective Dynamic Quality Factors
Published 2025-06-01“…The empirical insights, drawn from the real-life case study of this research, indicate the challenges and complexities that arise in the path of achieving zero defect product and sustainability improvement. The extended view on effective root causes of product quality and the focus on improving TBL sustainability criteria in this research as well as its analytical approach offer practitioners valuable insights for improving their ZDM approaches in a more comprehensive way. …”
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324
Explainable AI and optimized solar power generation forecasting model based on environmental conditions.
Published 2024-01-01“…Additionally, the PSO optimizer was employed instead of the EO optimizer to validate the outcomes, which further demonstrated the efficacy of the EO optimizer. …”
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325
A Parameter-Optimized DBN Using GOA and Its Application in Fault Diagnosis of Gearbox
Published 2020-01-01“…Aiming at the problems of poor self-adaptive ability in traditional feature extraction methods and weak generalization ability in single classifier under big data, an internal parameter-optimized Deep Belief Network (DBN) method based on grasshopper optimization algorithm (GOA) is proposed. …”
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326
Research on Stability Optimization for Automatic Train Operation of Heavy-haul Trains of Baoshen Railway
Published 2024-04-01“…During the departing stage, the optimization algorithm effectively improved operational stability on steep grades, and increased the departing speed by about 11.1%. …”
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327
Sustainable supply chain: An optimization and resource efficiency in additive manufacturing for automotive spare part
Published 2025-06-01“…Leveraging genetic algorithm techniques for optimization and reinforced by rigorous numerical analysis, its efficacy and validity are robustly demonstrated.…”
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328
Intelligent control method of robot based on angle of attack feedback for energy efficiency optimization
Published 2025-03-01Get full text
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329
Intelligent control method of robot based on angle of attack feedback for energy efficiency optimization
Published 2025-03-01Get full text
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330
Bearing remaining useful life prediction based on optimized VMD and BiLSTM-CBAM.
Published 2025-01-01“…To address the issue of low accuracy in existing remaining useful life (RUL) prediction algorithms for rolling bearings, this paper proposes a novel RUL prediction method based on the Beluga Whale Optimization (BWO) algorithm, Variational Mode Decomposition (VMD), an improved Convolutional Block Attention Module (CBAM*), and a Bidirectional Long Short-Term Memory (BiLSTM) network. …”
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331
Tightly Coupled SLAM Algorithm Based on Similarity Detection Using LiDAR-IMU Sensor Fusion for Autonomous Navigation
Published 2024-12-01“…Additionally, the algorithm incorporates a local keyframe sliding window method and introduces a similarity detection mechanism, which reduces the real-time computational load and improves efficiency. …”
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332
Spatial–degree of freedom improvement of interference alignment in multi-input, multi-output interference channels
Published 2017-01-01“…As we know, the degree of freedom approximates the capacity of a network. To improve the achievable degree of freedom in the K -user interference network, we propose a rank minimization interference minimization algorithm. …”
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333
Time and Covariance Threshold Triggered Optimal Uncooperative Rendezvous Using Angles-Only Navigation
Published 2017-01-01“…In the context of Yamanaka-Ankersen orbital relative motion equations, the square root unscented Kalman filter (SRUKF) AON algorithm is developed to compute the relative state estimations from a low-volume/mass, power saving, and low-cost optical/infrared camera’s observations. …”
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334
Underwater Acoustic Signal Prediction Based on MVMD and Optimized Kernel Extreme Learning Machine
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335
Formative research to optimize pre-eclampsia risk-screening and prevention (PEARLS): study protocol
Published 2025-03-01“…By identifying factors that can influence implementation of pre-eclampsia prevention and care pathways, the findings will inform successful execution of the PEARLS trial, and post-research scale-up activities. This, in turn, can help reduce the prevalence of pre-eclampsia, and improve maternal and newborn outcomes in high-burden settings. …”
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336
DDPG-Based UAV-RIS Framework for Optimizing Mobility in Future Wireless Communication Networks
Published 2025-06-01Get full text
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337
Seasonal optimization of solar PV tilt angles for enhanced energy efficiency in Rajasthan, India
Published 2025-10-01“…For this purpose, a general algorithm for the optimization of the solar tilt angle is investigated based on MATLAB software for four different locations in Rajasthan, India. …”
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338
A novel trajectory learning method for robotic arms based on Gaussian Mixture Model and k-value selection algorithm.
Published 2025-01-01“…Next, k-means clustering is applied with the optimal k-value to initialize the parameters of the Gaussian Mixture Model, which are then refined and trained through the Expectation-Maximization algorithm. …”
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339
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A Comparative Analysis of Hyper-Parameter Optimization Methods for Predicting Heart Failure Outcomes
Published 2025-03-01“…We evaluated three optimization approaches—Grid Search (GS), Random Search (RS), and Bayesian Search (BS)—across three machine learning algorithms—Support Vector Machine (SVM), Random Forest (RF), and eXtreme Gradient Boosting (XGBoost). …”
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