A Combination of Classification Robust Adaptive Kalman Filter with PPP-RTK to Improve Fault Detection for Integrity Monitoring of Autonomous Vehicles by Hassan Elsayed, Ahmed El-Mowafy, Amir Allahvirdi-Zadeh, Kan Wang, Xiaolong Mi

“…The method reduced FDE computational load by 50–99.999% compared to other approaches.…”
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Reliability-Based Fatigue Life Prediction for Complex Structure with Time-Varying Surrogate Modeling by Lu-Kai Song, Guang-Chen Bai, Cheng-Wei Fei, Jie Wen

“…By comparing the direct simulation (FE/FV model), RSM, GRNN, PSO-GRNN, and TV/PSO-GRNN, we observe that the TV/PSO-GRNN surrogate model is promising to perform the reliability-based fatigue life prediction of the turbine blisk and enhance the computational efficiency while ensuring an acceptable computational accuracy. …”
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Repeated Supera stent fracture following stenting for popliteal artery occlusion: a case report by Byung Chan Lee, Chan Park, Hyoung Ook Kim, Ho Kyun Lee

“…At the 6-month follow-up, computed tomography angiography showed a patent graft. …”
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UAV target tracking method based on global feature interaction and anchor-frame-free perceptual feature modulation. by Yuanhong Dan, Jinyan Li, Yu Jin, Yong Ji, Zhihao Wang, Dong Cheng

“…In addition, we design an anchor-free frame-aware feature modulation mechanism to reduce computation and generate high-quality anchors while optimizing the target frame refinement computation to improve the adaptability to target deformation motion. …”
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Application of the Verified Neutron Monitor Yield Function for an Extended Analysis of the GLE # 71 on 17 May 2012 by A. L. Mishev, S. A. Koldobskiy, I. G. Usoskin, L. G. Kocharov, G. A. Kovaltsov

“…Here, we derived the spectral and angular characteristics, and apparent source position of the solar protons during the GLE # 71, employing verified newly computed NM yield function and sophisticated unfolding procedure. …”
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A Comparative Analysis of Fractional Space-Time Advection-Dispersion Equation via Semi-Analytical Methods by Noufe H. Aljahdaly, Rasool Shah, Muhammed Naeem, Mohammad Asif Arefin

“…Researchers use a variety of numerical techniques to study such fractional models, but the nonlocality of the derivative having fractional order leads to high computation complexity and complex calculations, so the task is to find an efficient technique that requires less computation and provides greater accuracy when numerically solving such models. …”
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Research and Application of Data-driven Forecast Method for Water Level Increment of Small and Medium-sized Rivers by DING Wu, LIN Hanxiong, WANG Hangang, ZHANG Wei, YANG Bin

“…Focusing on the forecast of flash flood disasters in small and medium-sized rivers,this paper adopts three data-driven forecast models to forecast the maximum water level increment.With Paitan Town,Zengcheng District,Guangzhou City as the research area,the mathematical modeling and accuracy evaluation of the three models are carried out.The analysis shows that the forecast accuracy of machine learning is the highest,but the forecast results are not interpretable.The forecast accuracy of the similarity analysis model is medium,and the prediction results have good cognition and interpretability.The overall prediction accuracy of the “rainfall-water level increment” relationship model is the lowest,but its operation is simple.The calculation of the similarity analysis model and machine learning model is relatively complex,relying on computer-aided calculation,and the results of the “rainfall-water level increment” relationship model can be plotted as graphs.Considering the forecast accuracy and convenience,multiple models such as the machine learning model and similarity analysis model can be applied for the forecast to improve the forecast accuracy if there is support from auxiliary equipment such as computers and mobile phone applications.Without support from computers and other basic equipment,the “rainfall-water level increment” relationship model can provide a convenient forecast method for flash flood forecast and early warning in small and medium-sized rivers.…”
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On a data-driven mathematical model for prostate cancer bone metastasis by Zholaman Bektemessov, Laurence Cherfils, Cyrille Allery, Julien Berger, Elisa Serafini, Eleonora Dondossola, Stefano Casarin

“…By integrating in vivo studies with in silico models, these obstacles can be potentially overcome. Existing computational models of tumor response to $ ^{223} $Ra are often computationally intensive. …”
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Hyperspectral Image Classification Using Spectral-Spatial Dual Random Fields With Gaussian and Markov Processes by Yaqiu Zhang, Lizhi Liu, Xinnian Yang

“…Subsequently, SAMRF is utilized to model the spatial prior within the function space, while the alternating direction method of multipliers (ADMM) is employed to enhance computational efficiency. Experimental results on three datasets with varying complexity show that the proposed algorithm improves computational efficiency by approximately 152 times and accuracy by about 7%–26% compared to the current popular Gaussian process methods. …”
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A Review on Recent Developments for Detection of Diabetic Retinopathy by Javeria Amin, Muhammad Sharif, Mussarat Yasmin

“…It can be made easily with the help of computer-aided system and intervariability for the observer. …”
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Dynamic Behaviors of a Nonautonomous Discrete Predator-Prey System Incorporating a Prey Refuge and Holling Type II Functional Response by Yumin Wu, Fengde Chen, Wanlin Chen, Yuhua Lin

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Mittag-Leffler Stability Theorem for Fractional Nonlinear Systems with Delay by S. J. Sadati, D. Baleanu, A. Ranjbar, R. Ghaderi, T. Abdeljawad (Maraaba)

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Genetic Algorithm and Graph Theory Based Matrix Factorization Method for Online Friend Recommendation by Qu Li, Min Yao, Jianhua Yang, Ning Xu

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Anatomy Ontology Matching Using Markov Logic Networks by Chunhua Li, Pengpeng Zhao, Jian Wu, Zhiming Cui

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Continuous Time Portfolio Selection under Conditional Capital at Risk by Gordana Dmitrasinovic-Vidovic, Ali Lari-Lavassani, Xun Li, Antony Ware

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Statistical Analysis of Dispelling Rumors on Sina Weibo by Yue Wu, Min Deng, Xin Wen, Min Wang, Xi Xiong

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A Latent Implementation Error Detection Method for Software Validation by Jiantao Zhou, Jing Liu, Jinzhao Wu, Guodong Zhong

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The Quasi-Optimal Radial Basis Function Collocation Method: A Technical Note by Juan Zhang, Mei Sun, Enran Hou, Zhaoxing Ma

“…Besides, we consider the collocation points in the Chebyshev-type which improves solution accuracy of the method with no additional computational cost.…”
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A New Method for Centrality Measurement Using Generalized Fuzzy Graphs by R. Dhanalakshmi, Junaid Rashid, Jungeun Kim, Arun Kumar Sivaraman, Usman Naseem, Rajiv Vincent

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Prediction of Ubiquitination Sites Using UbiNets by Sarthak Yadav, Manoj Gupta, Ankur Singh Bist

“…The paper proposes a new MLP architecture, named UbiNets, which is based on Densely Connected Convolutional Neural Networks (DenseNet). Computational machine learning techniques, such as Random Forest Classifier, Gradient Boosting Machines, and Multilayer Perceptrons (MLP), are taken for analysis. …”
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