Segmentation of Laser Marks of Diabetic Retinopathy in the Fundus Photographs Using Lightweight U-Net by Yukang Jiang, Jianying Pan, Ming Yuan, Yanhe Shen, Jin Zhu, Yishen Wang, Yewei Li, Ke Zhang, Qingyun Yu, Huirui Xie, Huiting Li, Xueqin Wang, Yan Luo

“…In this study, we develop a deep learning algorithm based on the lightweight U-Net to segment laser marks from the color fundus photos, which could help indicate a stage or providing valuable auxiliary information for the care of DR patients. …”
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Risk-Control Approach for a Bottleneck Spanning Tree Problem with the Total Network Reliability under Uncertainty by Takashi Hasuike, Hideki Katagiri, Hiroshi Tsuda

“…Therefore, satisfaction functions for each object and the integrated function are introduced, and the exact solution algorithm is developed by performing deterministic equivalent transformations. …”
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Application of Linear Viscoelastic Properties in Semianalytical Finite Element Method with Recursive Time Integration to Analyze Asphalt Pavement Structure by Pengfei Liu, Qinyan Xing, Dawei Wang, Markus Oeser

“…The SAFEM is a three-dimensional FE algorithm that only requires a two-dimensional mesh by incorporating the Fourier series in the third dimension, which can significantly reduce the computational time. …”
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A method for identifying surface contamination components of composite insulators based on hyperspectral imaging by MIAO Jin, QIN Jun, CHEN Junyu, WU Junfeng, REN Ming, LIU Runyu

“…Finally， the kernel support vector machine （KSVM） algorithm is employed to identify the pixel features of the seven contamination components. …”
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Joint Optimization of Regular Charging Electric Bus Transit Network Schedule and Stationary Charger Deployment considering Partial Charging Policy and Time-of-Use Electricity Price... by Xinghua Li, Tianzuo Wang, Lingjie Li, Feiyu Feng, Wei Wang, Cheng Cheng

“…A solving procedure based on the improved adaptive genetic algorithm (AGA) is further designed and a transit network at inner Anting Town, Shanghai, with 8 individual bus routes and 867 daily service trips is adopted for the model validation. …”
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Cry-Based Classification of Healthy and Sick Infants Using Adapted Boosting Mixture Learning Method for Gaussian Mixture Models by Hesam Farsaie Alaie, Chakib Tadj

“…In the first experiment, test results demonstrate that the introduced adapted BML method for learning of GMMs has a better performance than conventional EM-based reestimation algorithm as a reference system in multipathological classification task. …”
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UB-LSTM: A Trajectory Prediction Method Combined with Vehicle Behavior Recognition by Haipeng Xiao, Chaoqun Wang, Zhixiong Li, Rendong Wang, Cao Bo, Miguel Angel Sotelo, Youchun Xu

“…In order to make an accurate prediction of vehicle trajectory in a dynamic environment, a Unidirectional and Bidirectional LSTM (UB-LSTM) vehicle trajectory prediction model combined with behavior recognition is proposed, and then an acceleration trajectory optimization algorithm is proposed. Firstly, the interactive information with the surrounding vehicles is obtained by calculation, then the vehicle behavior recognition model is established by using LSTM, and the vehicle information is input into the behavior recognition model to identify vehicle behavior. …”
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Adaptive Radar Waveform Design Based on Weighted MI and the Difference of Two Mutual Information Metrics by Fengming Xin, Bin Wang, Shumin Li, Xin Song, Chi-Hsu Wang

“…Simulation results show the proposed algorithm is valid.…”
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Small Object Detection with Multiscale Features by Guo X. Hu, Zhong Yang, Lei Hu, Li Huang, Jia M. Han

“…The existing object detection algorithm based on the deep convolution neural network needs to carry out multilevel convolution and pooling operations to the entire image in order to extract a deep semantic features of the image. …”
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HiQ-FPAR: A High-Quality and Value-added MODIS Global FPAR Product from 2000 to 2023 by Kai Yan, Xinpei Yu, Jinxiu Liu, Jingrui Wang, Xiuzhi Chen, Jiabin Pu, Marie Weiss, Ranga B. Myneni

“…To solve this problem, we developed the Spatio-Temporal Information Composition Algorithm (STICA), which enhances MODIS FPAR by integrating quality control, spatio-temporal correlations, and original FPAR values, resulting in the High-Quality FPAR (HiQ-FPAR) product. …”
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Visualisation of the numerical solution of partial differential equation systems in three space dimensions and its importance for mathematical models in biology by Heiko Enderling, Alexander R.A. Anderson, Mark A.J. Chaplain, Glenn W.A. Rowe

“…Themathematical extension of models to three spatial dimensions from one or twois often a trivial task, whereas the visualisation of the results is more complicated.The scope of this paper is to apply the established marching cubesvolume rendering technique to the study of solid tumour growth and invasion,and present an adaptation of the algorithm to speed up the surface renderingfrom numerical simulation data. …”
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Optimal transmission for scalable video coded streaming in cellular wireless networks with the cooperation of local peer-to-peer network by Guangsheng Feng, Junyu Lin, Qian Zhao, Huiqiang Wang, Hongwu Lv, Bingyang Li, DongDong Su

“…Furthermore, a primal-dual decomposition approach is developed and a distributed algorithm is proposed accordingly. Simulation results show that the proposed approach achieves a near-optimal solution.…”
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Accelerated photonic design of coolhouse film for photosynthesis via machine learning by Jinlei Li, Yi Jiang, Bo Li, Yihao Xu, Huanzhi Song, Ning Xu, Peng Wang, Dayang Zhao, Zhe Liu, Sheng Shu, Juyou Wu, Miao Zhong, Yongguang Zhang, Kefeng Zhang, Bin Zhu, Qiang Li, Wei Li, Yongmin Liu, Shanhui Fan, Jia Zhu

“…Here, using a synergistic genetic algorithm and machine learning, we propose and demonstrate a coolhouse film that regulates temperature and water for photosynthesis without requiring additional energy or water. …”
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Dimension Estimation Using Weighted Correlation Dimension Method by Yuanhong Liu, Zhiwei Yu, Ming Zeng, Shun Wang

“…In order to improve the adaptability of WCD estimation, k-means clustering algorithm is adopted to adaptively select the linear portion of the log-log sequence (log⁡δk,log⁡C(n,δk)). …”
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A Coupled Novel Green Element and Embedded Discrete Fracture Model for Simulation of Fluid Flow in Fractured Reservoir by Linsong Cheng, Xulin Du, Renyi Cao, Zhikai Wang, Junjie Shi

“…GEM is an excellent advanced algorithm, which can solve nonlinear problems in heterogeneous media. …”
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An Integral Formulation of Two-Parameter Fatigue Crack Growth Model by Jianguo Wu, Shan Jiang, Wei Zhang, Zili Wang

“…A two-parameter fatigue crack growth algorithm in integral form is proposed, which can describe the continuous crack growth process over the time period. …”
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Intelligent Fault Diagnosis of Aeroengine Sensors Using Improved Pattern Gradient Spectrum Entropy by Huihui Li, Linfeng Gou, Hua Zheng, Huacong Li

“…Then, we improved PGSE to use particle swarm optimization algorithm to adaptively optimize the influencing parameters (scale factor λ), so that the obtained spectral entropy graph can better match the CNN. …”
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Recognizing Cognitive and Psychiatric Changes in the Post-Highly Active Antiretroviral Therapy Era by Adriana Carvalhal, Jean-Guy Baril, Frederic Crouzat, Joss De Wet, Patrice Junod, Colin Kovacs, Nancy Sheehan

“…Specifically addressed in the present review are the International HIV Dementia Scale, a novel screening equation and algorithm for HAND, as well as brief, validated, verbal questionnaires for detection of depression and substance abuse. …”
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Bounded rational real‐time charging pricing strategy under the traffic‐grid coupling network by Chudi Wang, Shaohua Ma, Zhiyuan Cai, Ning Yan, Qiwei Wang

“…Finally, the particle swarm optimisation algorithm is used to solve the game model so as to solve the real‐time charging price under various constraints. …”
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Single‐step geolocation for a non‐circular source in the presence of satellite orbit perturbations by Jiexin Yin, Ding Wang, Fuquan Nie, Nae Zheng

“…The authors propose a single‐step satellite geolocation algorithm that directly localises the transmitter from sensor outputs using the information of time delays and Doppler shifts but without explicitly estimating them. …”
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