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621
A study on the prediction of mountain slope displacement using a hybrid deep learning model
Published 2025-05-01“…Abstract To address the challenges of large prediction errors and limited reliability in conventional modeling approaches, this study proposes a hybrid framework that integrates optimization and deep learning techniques. The method employs an Improved Whale Optimization Algorithm (IWOA) to fine-tune parameters for GNSS data fitting, ensuring accurate signal feature extraction. …”
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622
A Novel SPGD Algorithm for Wavefront Sensorless Adaptive Optics System
Published 2023-01-01“…Stochastic parallel gradient descent (SPGD) is the most frequently used optimization algorithm for correcting wavefront distortion in the wavefront sensorless adaptive optics(WFS-Less AO)system. …”
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623
A Clustering Approach Using Cooperative Artificial Bee Colony Algorithm
Published 2010-01-01“…This paper presents an extended ABC algorithm, namely, the Cooperative Article Bee Colony (CABC), which significantly improves the original ABC in solving complex optimization problems. …”
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624
Performance Analysis of Marine Predators Algorithm for Automatic Voltage Regulator System
Published 2022-06-01“…With the proposed algorithm, this study aimed to minimize the maximum percent excess of the terminal voltage, settling time, rise time, and steady-state error and improve the transient response of the automatic voltage regulator system with an optimal proportional–integral– derivative controller. …”
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625
Inverse Kinematics Solution for Manipulators Based on the Artificial Evolved Hummingbird Algorithm
Published 2024-12-01“…Aiming at the current stage of inverse kinematics solving methods for multi-degree-of-freedom manipulators, most of which have the problems of low solving accuracy and poor generalization, an artificial evolved hummingbird algorithm (AEHA) was proposed for inverse kinematics solving of manipulators. …”
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626
Post-integration based point-line feature visual SLAM in low-texture environments
Published 2025-04-01“…Abstract To address the issues of weak robustness and low accuracy of traditional SLAM data processing algorithms in weak texture environments such as low light and low contrast, this paper first studies and improves the data feature extraction method, optimizing the AGAST-based feature extraction algorithm to adaptively adjust the extraction threshold according to the gradient size of different data features. …”
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627
Optimization of costs in the enterprise. Effective strategies for business
Published 2021-04-01“…The author offers an algorithm of actions for entrepreneurs who are ready to solve the optimization problem in a complex way.…”
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628
Python-Based Visual Classification Algorithm for Economic Text Big Data
Published 2022-01-01“…In order to improve the classification accuracy and reduce the classification time of the economic text big data visualization classification algorithm, one based on the Pitton algorithm is proposed. …”
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629
The Application of Kalman Filter Algorithm in Rail Transit Signal Safety Detection
Published 2025-01-01“…Firstly, the improved Kalman filter algorithm is used to denoise the signal to ensure the accuracy of signal transmission. …”
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630
Research on Optimization of Magnetic Ranging by Mechanism & Intelligence
Published 2025-06-01Get full text
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631
Research on rock strength prediction model based on machine learning algorithm
Published 2024-12-01“…By selecting different features, the optimal feature combination for predicting rock compressive strength was obtained, and the optimal parameters for different models were obtained through the Sparrow Search Algorithm (SSA). …”
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632
Algorithm of reconstruction combined midface defects after resection malignant tumors
Published 2022-08-01“…The purpose of reconstruction is not only the elimination of cosmetic deformity, but also the restoration of such vital functions as breathing, swallowing, speech and binocular vision. Till that time, no algorithm has been developed for choosing a method for the reconstruction and there is no comparative analysis of the available methods.The study objective is to improve the functional and aesthetic results of treatment patients with malignant tumors of the upper jaw and midface.Materials and methods. …”
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633
A Tunnel Lining Line Identification Algorithm Based on Supervised Heatmap
Published 2024-07-01“…Therefore, using 8~10 outer points to supervise model learning in the first 10 rounds yields the most significant improvements. When noise is introduced early in the curve fitting input, recognition accuracy improves, with optimal noise disturbance intensity at approximately 0.08. …”
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634
The Research on Web-Based Testing Environment Using Simulated Annealing Algorithm
Published 2014-01-01“…In addition, using simulated annealing algorithm to solve the computing complexity of the system greatly improves the efficiency of select items from system and near-optimal solutions.…”
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635
Synthesis of an Algorithm for Classifying Underwater Objects on Based on the Analysis of their Noise Spectra
Published 2024-03-01“…The need to reduce the probability of false alarms in such systems actualizes the issues of developing an optimal algorithm for classifying underwater objects by their sonar field. …”
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636
Optimization of Traction Electric Drive with Frequency Control
Published 2025-03-01“…The experiments confirmed the efficiency of the optimization algorithm for asynchronous electric drives with frequency control. …”
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637
A Software Defined Network of Video Surveillance System Based on Enhanced Routing Algorithms
Published 2020-03-01“…The video surveillance system requires fast transmission and reliable delivery and high QoS. To improve the QoS and to achieve the optimal path, the SDN architecture is used in this paper. …”
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638
Bandit Algorithms for Efficient Toxicity Detection in Competitive Online Video Games
Published 2025-01-01“…This algorithm balances exploration and exploitation to optimize long-term performance and is designed intentionally for easy deployment in production environments. …”
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639
Wafer Defect Classification Algorithm With Label Embedding Using Contrastive Learning
Published 2025-01-01Get full text
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640
Mapping and interpretability of aftershock hazards using hybrid machine learning algorithms
Published 2025-08-01“…By employing the stacking algorithm to optimize and combine XGBoost and LightGBM models, the proposed model significantly improves the prediction performance. …”
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