Intelligent fault diagnosis method for rolling bearings based on flexible residual neural network by Chuang CHEN, Xianfeng LI, Jiantao SHI, Dongdong YUE

“…This performance surpasses that of models using grey wolf optimizer (GWO), butterfly optimization algorithm (BOA), and whale optimization algorithm (WOA), indicating the excellent search capabilities of the DSABO proposed in this paper. …”
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Path Planning Approaches in Multi‐robot System: A Review by Semonti Banik, Sajal Chandra Banik, Sarker Safat Mahmud

“…Moreover, the findings from this review, highlighting the strengths and drawbacks of each algorithm, can help researchers select the appropriate approach to overcome the limitations in designing efficient multi‐robot systems.…”
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Utilizing the Finite Fourier Series to Generate Quadrotor Trajectories Through Multiple Waypoints by Yevhenii Kovryzhenko, Ehsan Taheri

“…Additionally, we compare the FFS-based parameterization with the polynomial-based minimum-snap algorithm, demonstrating comparable performance across several representative trajectories while uncovering key differences in higher-order derivatives. …”
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The Characterization of Liquefied Petroleum Gas (LPG) Using a Modified Bunsen Burner by Bader A Alfarraj, Ahmed A. Al-Harbi, Saud A. Binjuwair, Abdullah Alkhedhair

“…A premixed flame was used for the modified Bunsen burner. A MATLAB algorithm was successfully applied to flame image processing and measurement of laminar burning velocity. …”
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Clinical Treatment and Nursing Intervention Study of Clipping Treatment of Cerebral Aneurysm under the Health Model of Data Analysis by Yuyou Huang, Liping Huang

“…To verify its data analysis ability, this paper designs experiments on unbalanced data sets and experiments to improve the execution efficiency of the algorithm. After analyzing the results obtained from the experiment, this paper will apply them to the clinic. …”
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Influences of Flow Attack Angles and Flow Directions on Heat Transfer Rate, Pressure Loss, and Thermal Performance in Heat Exchanger Tube with V-Wavy Surface by Amnart Boonloi, Withada Jedsadaratanachai

“…The finite volume method with the SIMPLE algorithm is selected to solve the present problem. …”
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Research of Fault Diagnosis Method of Multi Low Speed High-loaded Bearings Installed on Same Axis by Han Jiahua, Yan Wen, Cao Jinhua

“…Firstly,the spline interpolation algorithm is used to transform the acquired time domain nonstationary signal into the angular pseudo-stationary signal to realize the angular area resampling,extract the contact angle of rotation of bearing,and the vibration source recognition is completed. …”
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The Impact of Feature Extraction in Random Forest Classifier for Fake News Detection by Dhani Ariatmanto, Anggi Muhammad Rifai

“…This research focuses on detecting and classifying fake news using the Random Forest algorithm by investigating the impact of feature extraction techniques on classification accuracy, this study specifically employs the TF-IDF method. …”
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Individual differences in temporal order judgment by Leah Fostick, Moti Zwilling, Harvey Babkoff

“…In Experiment 1, results from 177 participants replicated the large variance in participants’ performance and suggested three response patterns, validated using the K-Means clustering algorithm. In Experiment 2, the introduction of three tone-pairs to 90 participants, as opposed to a single pair, markedly decreased the propensity of participants to utilize HPR. …”
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Hybrid multi-objective optimization of µ-synthesis robust controller for frequency regulation in isolated microgrids by Abdallah Mohammed, Ahmed Kadry, Maged Abo-Adma, Adel El Samahy, Rasha Elazab

“…The controller is optimized using multi-objective particle swarm optimization (MOPSO) and multi-objective genetic algorithm (MOGA) under inequality constraints, employing a Pareto front to identify optimal solutions. …”
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Dimensional Evolution of Intelligent Cars Human-Machine Interface considering Take-Over Performance and Drivers’ Perception on Urban Roads by Hao Yang, Yueran Wang, Ruoyu Jia

“…The evolutionary mechanism of dimensions driven by users’ perception was constructed with a genetic algorithm. After debugging the parameters of the model, we verified the rationality of the model and evolved appropriate dimensions. …”
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Analysis of ∼106 Spiral Galaxies from Four Telescopes Shows Large-Scale Patterns of Asymmetry in Galaxy Spin Directions by Lior Shamir

“…The data were annotated automatically by a fully symmetric algorithm, as well as manually through a long labor-intensive process, leading to a dataset of nearly 106 galaxies. …”
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Markov-bridge generation of transition paths and its application to cell-fate choice by Guillaume Le Treut, Sarah Ancheta, Greg Huber, Henri Orland, David Yllanes

“…Trajectories can then be generated using a refined version of the Gillespie algorithm. We illustrate the benefits of our method by sampling trajectories in the Müller-Brown potential. …”
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Parallel Simulation of HGMS of Weakly Magnetic Nanoparticles in Irrotational Flow of Inviscid Fluid by Kanok Hournkumnuard, Banpot Dolwithayakul, Chantana Chantrapornchai

“…The process of high gradient magnetic separation (HGMS) using a microferromagnetic wire for capturing weakly magnetic nanoparticles in the irrotational flow of inviscid fluid is simulated by using parallel algorithm developed based on openMP. The two-dimensional problem of particle transport under the influences of magnetic force and fluid flow is considered in an annular domain surrounding the wire with inner radius equal to that of the wire and outer radius equal to various multiples of wire radius. …”
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Symplectic quantization and general constraint structure of a prototypical second-class system by Ignacio S. Gomez, Vipul Kumar Pandey, Ronaldo Thibes

“…We apply the Dirac–Bergmann algorithm in its full generality unraveling a total of 4m second-class constraints and obtain the corresponding Dirac brackets algebra in phase space. …”
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Intelligent phase imaging guided by physics models by Zhen LIU, Hao ZHU, You ZHOU, Zhan MA, Xun CAO

“…Implicit neural representation characterizes the mapping between the signal’s coordinate to its attributes, and has been widely used in the optimization of inverse problems by embedding the physics process into the loss function.However, the implicit neural representation is suffering the low convergence speed and accuracy from the random initialization of the network parameters.The meta-learning algorithm for providing implicit neural representation with a strong prior of network parameters was proposed, thus enhancing the optimization efficiency and accuracy for solving inverse problems.To address the important issue of lens less phase imaging, an intelligent method on phase imaging was proposed based on the snapshot lens less sensing model.By embedding the optical diffraction propagation theory into the design of loss function for implicit neural representation, the dependency of large-scale labelled dataset in traditional deep learning-based methods was eliminated and accurate phase image from a single diffraction measurement image was provided.Furthermore, the meta-learning model was introduced for initializing network to further improve the efficiency and accuracy of network training.Numerical simulation results show that the proposed method can achieve a PSNR improvement of more than 11 dB compared to the conventional method.The experimental results in real data show that the phase image reconstructed by the proposed method is clearer and has fewer artifacts.…”
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Detection and Prediction of Internal-Caused Fire in Tunnel Cable by an Equivalent Transient Thermal Circuit Model by Yanwen Wang, Xuran Zhang, Le Wang, Yinsheng Wang

“…The maximum relative errors of the transient thermal circuit model and the trisection transient thermal circuit model are less than 10% when comparing the experimental data with the calculation results, and the average relative error of the calculated value of trisection transient thermal circuit model is 1.08% after layered optimization. The algorithm model can satisfy the requirement for early detection and prediction in the very early stage of cable internal-caused fire.…”
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Modules Identification in Gene Positive Networks of Hepatocellular Carcinoma Using Pearson Agglomerative Method and Pearson Cohesion Coupling Modularity by Jinyu Hu, Zhiwei Gao

“…A Pearson agglomerative clustering algorithm is employed to build a clustering tree, where dotted lines cut the tree from bottom to top leading to a number of subsets of the modules. …”
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Simulated Annealing Technique for Routing in a Rectangular Mesh Network by Noraziah Adzhar, Shaharuddin Salleh

“…While classical Dijkstra’s algorithm guarantees to find shortest path for a single net, each routed net will form obstacles for later paths. …”
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A Majority Theorem for the Uncapacitated <i>p</i> = 2 Median Problem and Local Spatial Autocorrelation by Daniel A. Griffith, Yongwan Chun, Hyun Kim

“…In addition, this paper presents the foundation for a novel extremely efficient <i>p</i> = 2 algorithm whose formulation demonstratively exploits spatial autocorrelation.…”
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