Retinal Fundus Image Enhancement Using the Normalized Convolution and Noise Removing by Peishan Dai, Hanwei Sheng, Jianmei Zhang, Ling Li, Jing Wu, Min Fan

“…First, the original retinal fundus image was processed by the normalized convolution algorithm with a domain transform to obtain an image with the basic information of the background. …”
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Optimal Bus-Bridging Service under a Metro Station Disruption by Haodong Yin, Jianjun Wu, Huijun Sun, Yunchao Qu, Xin Yang, Bo Wang

“…Two main contributions are made: (1) a three-layer discrete choice behavior model is developed to analyze the dynamic passenger flow demand under station disruption; and (2) an integrated algorithm is designed to manage and control the station disruption crisis by providing additional bus-bridging services with the objective of minimizing the total travel time of affected passengers and the operating cost of bridging-buses. …”
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A Partition Spatial Filtering Method for Acoustic Array Configuration by Zhihong Liu, Xilong Zhang, Zunmin Liu, Chuijie Yi, Ming Ma

“…In particular, an adaptive partition algorithm is proposed to reduce computation time. The performance of the method is examined numerically and experimentally, which is compared with the other methods. …”
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Unified Dynamic Dictionary and Projection Optimization With Full-Rank Representation for Hyperspectral Anomaly Detection by Hongran Li, Chao Wei, Yizhou Yang, Zhaoman Zhong, Ming Xu, Dongqing Yuan

“…Experimental results on several hyperspectral datasets demonstrate that the proposed algorithm excels in anomaly detection tasks, offering new insights and approaches for HAD.…”
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Method for Determining the Valid Travel Route of Railways Based on Generalised Cost under the Syncretic Railway Network by Zhiqiang Tian, Guofeng Sun, Dingjun Chen, Zhicheng Qiu, Yawen Ma

“…Theoretically, the valid routes considering the train schedule is defined, and a valid route search algorithm is designed using the deep traversal idea in a new valid route searching network. …”
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Optimization of Jamming Type Selection for Countering Multifunction Radar Based on Generative Adversarial Imitation Learning by Tianjian Yang, You Chen, Siyi Cheng, Xing Wang, Xi Zhang

“…Finally, through case analysis, it can be observed that using the GAIL algorithm can achieve rewards close to those of the expert strategy. …”
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A Novel Two-Stage Spectrum-Based Approach for Dimensionality Reduction: A Case Study on the Recognition of Handwritten Numerals by Mohammad Amin Shayegan, Saeed Aghabozorgi, Ram Gopal Raj

“…This method is based on one-dimensional and two-dimensional spectrum diagrams of standard deviation and minimum to maximum distributions for initial feature vector elements. The proposed algorithm is validated in an OCR application, by using two big standard benchmark handwritten OCR datasets, MNIST and Hoda. …”
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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

“…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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Potential assessment of coordinated regulation of power load of emerging industrial users based on extreme scenarios of electric vehicle aggregators by Yuanshi Zhang, Bokang Zou, Yiheng Liang, Yifu Luo, Mengtong Chen, Jingwen Ye, Siqi Li, Yan Li, Xiaoyan Hu, Weiqi Pan

“…Finally, the effectiveness of the proposed model and algorithm is verified by simulation analysis. Compared with the traditional industrial user production optimization, the proposed model can tap the potential of multi‐agent scheduling operation in extreme scenarios.…”
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Screening of Aβ and phosphorylated tau status in the cerebrospinal fluid through machine learning analysis of portable electroencephalography data by Masahiro Hata, Yuki Miyazaki, Kohji Mori, Kenji Yoshiyama, Shoshin Akamine, Hideki Kanemoto, Shiho Gotoh, Hisaki Omori, Atsuya Hirashima, Yuto Satake, Takashi Suehiro, Shun Takahashi, Manabu Ikeda

“…A total of 102 patients, both with and without AD-related biomarker changes (amyloid beta and phosphorylated tau), were recorded using a 2-minute resting-state portable EEG. A machine-learning algorithm then analyzed the EEG data to identify these biomarker changes. …”
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A Novel Version of HPM Coupled with the PSEM Method for Solving the Blasius Problem by Uriel Filobello-Nino, Hector Vazquez-Leal, Jesus Huerta-Chua, Victor Manuel Jimenez-Fernandez, Mario Alberto Sandoval-Hernandez, Enrique Delgado-Alvarado, Victor Manuel Tlapa-Carrera

“…To find such approximation, we propose a new method denominated powered homotopy perturbation (PHPM). Unlike HPM algorithm, the successive integration process generated by PHPM will consider zero the constants of integration in each approximation, except the last one. …”
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Eye tracking based clustering using the Korean version of the reading the mind in the eyes test by Se Jun Koo, Eun Jung Cha, Jee Eun Min, Eunchong Seo, Eun Lee, Suk Kyoon An

“…A total of 89 (50 males) non-clinical youths were recruited. The k-means algorithm was adopted, and the optimised number of clusters was determined using the elbow, silhouette and NbClust methods. …”
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Is human-like decision making explainable? Towards an explainable artificial intelligence for autonomous vehicles by Jiming Xie, Yan Zhang, Yaqin Qin, Bijun Wang, Shuai Dong, Ke Li, Yulan Xia

“…These findings have the potential to inform ongoing research on brain-like neural learning and could function as a catalyst for developing swifter and more potent algorithmic solutions in the realm of intelligent transportation.…”
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Therapeutic implications and comprehensive insights into cellular senescence and aging in the tumor microenvironment of sarcoma by Pengfei Zan, Yi Zhang, Yidong Zhu, Qingjing Chen, Zhengwei Duan, Yonghao Guan, Kaiyuan Liu, Anquan Shang, Zihua Li

“…Utilizing the weighted gene co-expression network analysis and least absolute shrinkage and selection operator algorithm, we identified senescence-related genes and developed a senescence predictor. …”
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PARE: Profile-Applied Reasoning Engine for Context-Aware System by M. Robiul Hoque, M. Humayun Kabir, Hyungyu Seo, Sung-Hyun Yang

“…However, it is difficult for the rule-based algorithm to reason personalized context, because it requires a large number of rules to apply the user's preferences. …”
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MLPR: YOLOv3 for Real-Time License Plate Recognition in Moroccan Video Streams by Hatim Derrouz, Hamza Alami, Reda Rabie

“…First, we employ the YOLOv3 algorithm to extract valuable features from input scenes and detect vehicles. …”
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Topology-Aware Bus Routing in Complex Networks of Very-Large-Scale Integration with Nonuniform Track Configurations and Obstacles by Ziran Zhu, Zhipeng Huang, Jianli Chen, Longkun Guo

“…Compared with the top-3 state-of-the-art methods, experimental results show that our proposed algorithm achieves the best overall score regarding specified time limitations.…”
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Use of Open Claims vs Closed Claims in Health Outcomes Research by Onur Baser, Gabriela Samayoa, Nehir Yapar, Erdem Baser, Fatih Mete

“…**Methods:** We identified 18 different diseases using 2022 data from 2 closed claims data sets (MarketScan® and PharMetrics® Plus) and 1 open claims database (Kythera). After applying an algorithm that removes possible duplications from open claims data, we compared healthcare utilizations such as inpatient, emergency department, and outpatient use and length of stay among these 3 data sets. …”
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Clinical observation of VR virtual reality rehabilitation training combined with acupuncture in the treatment of mild cognitive impairment by Ying Fu, Hui Wang

“…This paper then establishes the algorithm model of the VR virtual reality rehabilitation training system, which lays a solid foundation for the design of the subsequent rehabilitation training system. …”
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Superficially Plausible Outputs from a Black Box: Problematising GenAI Tools for Analysing Qualitative SoTL Data by Mirjam Sophia Glessmer, Rachel Forsyth

“…In some instances, interpretations and extrapolations of data happened when it was clearly stated in the prompt that the tool should only analyse a specified dataset based on explicit instructions. Since both algorithm and training data of the GenAI tools are undisclosed, it is impossible to know how the outputs had been arrived at. …”
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