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Optimizing HVAC&R System Efficiency and Comfort Levels Using Machine Learning-Based Control Methods
Published 2025-05-01Get full text
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82
APPLICATION OF DESCRIPTIVE STATISTICS METHODS IN CUSTOMS RISK ANALYSIS
Published 2017-10-01Get full text
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83
Twig age 2.0: A novel and reliable method to track variation in ungulate browsing over species, sites and time
Published 2025-08-01“…Abstract Ungulate (deer) browsing threatens forest diversity and tree regeneration, but without efficient and reliable methods, we cannot monitor these impacts. …”
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84
A Subgradient Extragradient Framework Incorporating a Relaxation and Dual Inertial Technique for Variational Inequalities
Published 2024-12-01“…Numerical findings are presented to showcase the algorithm’s effectiveness, highlighting its computational efficiency and practical relevance. A notable conclusion is that using double inertial extrapolation steps, as opposed to the single step commonly seen in the literature, provides substantial advantages for variational inequalities.…”
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Hydrogen sulfide removal from biogas using chemical absorption technique in packed column reactors
Published 2019-04-01“…Hydrogen sulfide removal efficiency was calculated for experimental variants like the use of a dedicated purification column, multiple purification columns, flow variations and pressure variations of raw biogas. …”
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87
Efficient one-stage detection of shrimp larvae in complex aquaculture scenarios
Published 2025-06-01“…Furthermore, FAMDet has still outperformed multiple lightweight methods (EfficientDet, RT-DETR, GhostNetV2, EfficientFormerV2, EfficientViT, and MobileNetV4). …”
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Efficiency Analysis of Container Ports in Vietnam Using Stochastic Frontier Analysis
Published 2025-02-01“…The methods were used to analyze the variations in port efficiency, including aspects such as distribution, rankings, identification of the best and worst ports, and determinants of the efficiency frontier. …”
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Method based on contrastive incremental learning for fine-grained malicious traffic classification
Published 2023-03-01“…In order to protect against continuously emerging unknown threats, a new method based on contrastive incremental learning for fine-grained malicious traffic classification was proposed.The proposed method was based on variational auto-encoder (VAE) and extreme value theory (EVT), and the high accuracy could be achieved in known, few-shot and unknown malicious classes and new classes were also identified without using a large number of old task samples, which met the demand of storage and time cost in incremental learning scenarios.Specifically, the contrastive learning was integrated into the encoder of VAE, and the A-Softmax was used for known and few-shot malicious traffic classification, EVT and the decoder of VAE were used for unknown malicious traffic recognition, all classes could be recognized without a lot of old samples when learning new tasks by using VAE reconstruction and knowledge distillation methods.Experimental results indicate that the proposed method is efficient in known, few-shot and unknown malicious classes, and has greatly reduced the forgetting speed of old knowledge in incremental learning scenarios.…”
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91
Application of a sEMG hand motion recognition method based on variational mode decomposition and ReliefF algorithm in rehabilitation medicine.
Published 2024-01-01“…To achieve this goal, this paper proposes a novel hand motion recognition method based on variational mode decomposition (VMD) and ReliefF. …”
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92
Two-Dimensional Spatial Variation Analysis and Correction Method for High-Resolution Wide-Swath Spaceborne Synthetic Aperture Radar (SAR) Imaging
Published 2025-04-01“…In previous studies on the correction of two-dimensional spatial variation in spaceborne SAR, either the models were not accurate enough or the computational efficiency was low, limiting the application of corresponding algorithms. …”
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93
Convergence Analysis for System of Cayley Generalized Variational Inclusion on <i>q</i>-Uniformly Banach Space
Published 2025-05-01“…To validate the effectiveness of the proposed iterative method, we provide a numerical result supported by a computational graph and a convergence plot, illustrating its performance and efficiency.…”
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A High-Efficient Modeling Method for Aerodynamic Loads of an Airfoil with Active Leading Edge Based on RFA and CFD
Published 2025-07-01“…Comparative results reveal that the developed model can calculate the aerodynamic loads of an airfoil with an active leading edge accurately and efficiently when applied appropriately. The modeling method can be used in aerodynamic load calculations and the aeroelastic coupling analysis of a rotor with active control devices.…”
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Classification and Recognition Method for Bearing Fault based on IFOA-SVM
Published 2021-02-01“…In order to identify the nonlinear classification of bearing fault features more accurately, a fault identification method based on IFOA-SVM is proposed. Firstly, the variational mode decomposition method is used to decompose the vibration signals of the bearing, and the fuzzy approximate entropy and energy entropy of the modal component is used to form fault characteristics. …”
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An efficient dynamic reliability method for maglev vehicle-bridge systems and its application in random controller parameters analysis
Published 2025-03-01“…This article presents an efficient method for analyzing the dynamic reliability of maglev vehicle-bridge coupled systems by combining a theoretical model with an adaptive surrogate model and the probability density evolution method (PDEM). …”
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97
Approximate methods for solving local fractional integral equations
Published 2017-06-01“…This paper presents new analytical approximate methods such as local fractional variational iteration method and local fractional decomposition method for a family of the linear and nonlinear integral equations of the second kind within local fractional derivative operators. …”
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APPLICATION OF OBJECTIVE AND SUBJECTIVE EVALUATION METHODS FOR MASTICATORY FUNCTION IN PATIENTS WITH MANDIBULAR OVERDENTURES
Published 2020-09-01“… Appropriate chewing function is an important indicator of oral health, and masticatory efficiency assessment is one of the most objective methods of prosthetic treatment quality control. …”
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