Research on prediction algorithm of college students' academic performance based on Bert-GCN multi-modal data fusion by Yan Wu

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FOX-TSA hybrid algorithm: Advancing for superior predictive accuracy in tourism-driven multi-layer perceptron models by Sirwan A. Aula, Tarik A. Rashid

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A Huang Clan Correction Image Reconstruction Algorithm For Electrical CapacitanceTomography System by CHEN Yu, LI Hong-yu

“…To solve the ‘soft-field’nature and the ill-posed problem in electrical capacitance tomography technology，a Huang clan correction image reconstruction algorithm for electrical capacitance tomography is presented. …”
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Hybrid Fuzzy Centroid with MDV-Hop BAT Localization Algorithms in Wireless Sensor Networks by Chakchai So-In, Weerat Katekaew

“…However, their main drawbacks are location estimation precision. Recently, a soft-computing-based approach used to address uncertainty and approximation has been proposed as a low cost solution to gain precision, and, therefore, this research investigates its integration and then proposes a novel hybrid localization algorithm utilizing key characteristics of Centroid and DV-Hop. …”
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Performance Evaluation of Hybrid Machine Learning Algorithms for Online Lending Credit Risk Prediction by Tesfahun Berhane, Tamiru Melese, Abdu Mohammed Seid

“…We developed the architecture of our hybrid model by removing the fully connected layer with the soft-max, which is the final layer of the fully connected CNN model and replaced by LR, GBDT, and k-NN algorithms. …”
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Application of Grey Wolf Optimization Algorithm for Maximum Power Point Tracking of Solar Panels by Fethi Khelaifa, Kheireddine Lamamra, Djaafar Toumi

“…Furthermore, there is currently no methodology for selecting the optimal sampling time of soft computing algorithm-based maximum power trackers for PV systems. …”
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A UAV perspective based lightweight target detection and tracking algorithm for intelligent transportation by Quan Wang, Guangfei Ye, Qidong Chen, Songyang Zhang, Fengqing Wang

“…Therefore, this paper proposes a YOLO-LMP and NGCTrack-based target detection and tracking algorithm to address these issues. Firstly, the performance of detecting small targets in occluded scenes is enhanced by adding a MODConv to the small-target detection head and increasing its size; In addition, excessive deletion of prediction boxes is prevented by utilizing LSKAttention mechanism to adaptively adjust the target sensing field at the downsampling stage and combining it with the Soft-NMS strategy. …”
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Slope stability prediction under seismic loading based on the EO-LightGBM algorithm by Ning Ma, Ning Ma, Yuqi Zhang, Zaizhen Yao

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Enhancement of rime algorithm using quadratic interpolation learning for parameters identification of photovoltaic models by Shazly A. Mohamed, Abdullah M. Shaheen, Mohammed H. Alqahtani, Badr M. Al Faiya

“…By meticulously replicating the distinctive features of both processes, the hard-rime puncture and soft-rime searching are disclosed. The QIL technique improves the search process by selecting three different rime particles rather than relying solely on the current best solution. …”
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Image De-Noising Based On Wavelet Transform and Block Matching by Ahmed Abdulmunem Hussein, Mohammed Khawwam Ahmed

“…The algorithm is based on block matching and wavelet transformation. …”
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Assessing Viscoelastic Parameters of Polymer Pipes via Transient Signals and Artificial Neural Networks by Mostafa Rahmanshahi, Huan-Feng Duan, Alireza Keramat, Nasim Vafaei Rad, Hossein Azizi Nadian

“…This study presents a soft-computing-based method for determining polymer pipelines’ creep function parameters (CFPs) and pressure wave speeds (PWSs) through transient flow analysis. …”
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Time-Varying Modal Parameters Identification by Subspace Tracking Algorithm and Its Validation Method by Haotian Zhou, Kaiping Yu, Yushu Chen, Rui Zhao, Yunhe Bai

“…In order to improve the quality of the identified results as well as sifting and validating the real modal parameters, a post-process procedure based on density-based spatial clustering of applications with noise (DBSCAN) algorithm is introduced. …”
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Intelligent long jump evaluation system integrating blazepose human pose assessment algorithm in higher education sports teaching by Tao Wang

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ARIME-DWA: Robot Path Planning Utilizing Advanced RIME Optimization and Dynamic Windows Approach by Likun Hu, Chengjie Cai

“…To overcome the limitations of insufficient optimization ability and the propensity to get stuck in local optima in the standard RIME algorithm for global path planning, an advanced RIME algorithm integrating the Artemisinin Optimization (AO) algorithm is proposed (ARIME). …”
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Predictive Model for Diagnosis of Gestational Diabetes in the Kurdistan Region by a Combination of Clustering and Classification Algorithms: An Ensemble Approach by Rasool Jader, Sadegh Aminifar

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An Improved Particle Swarm Optimization Algorithm forOptimal Allocation of Distributed Generation Units in Radial Power Systems by Neda Hantash, Tamer Khatib, Maher Khammash

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Implementation of personalized customization and enhanced experiences for cultural tourism resources using genetic algorithm-based virtual reality technology by Huiya Xing, Xiangyi Li, Min Liu, Yicong Zhong

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Modified Hybrid PSO Algorithm for Efficient Control of the Matrix Converter-Fed Electrical Drive System by Ch. Amarendra, A. Pandian, Ch. Rami Reddy, Ch. Naga Sai Kalyan, Mohit Bajaj, Kareem M. AboRas, Daniel Eutyche Mbadjoun Wapet

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Data-Driven Cooperative Localization Algorithm for Deep-Sea Landing Vehicles Under Track Slippage by Zhenzhuo Wei, Wei Guo, Yanjun Lan, Ben Liu, Yu Sun, Sen Gao

“…The accuracy of the cooperative localization system could be further degraded by the persistent rubber track slippage during the vehicle’s movement over the soft seabed. In this study, a data-driven cooperative localization algorithm with a velocity prediction model is proposed to improve the positioning accuracy of DSLV under track slippage. …”
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Homotopy Extension and Selfscaling Metric Image Reconstruction Algorithm for Electrical Capacitance Tomography System by CHEN Yu, ZHANG Jiangtao, XIA Zongji

“…In order to solve the “soft field” and uncertainty problems in electrical capacitance tomography, a homotopy extension regularization and selfscaling metric image reconstruction algorithm for electrical capacitance tomography is presentedOn the basis of ECT theory, the algorithm combines homotopy continuation with regularization method, and derives the corresponding correction formula combined with selftuning ratio Finally, the mathematical model of inverse problem of ECT Image reconstruction is derived.The algorithm is used in digital simulation experiment to verify its effectiveness The simulation results are compared with the classical Landweber algorithm, SD algorithm and other imaging algorithms The results show that the algorithm has the advantages of high image quality, fast convergence speed and less iteration times in ECT Image reconstruction It is an effective algorithm to solve ECT imaging problems…”
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