A Machine Learning Algorithm Using Texture Features for Nighttime Cloud Detection from FY-3D MERSI L1 Imagery by Yilin Li, Yuhao Wu, Jun Li, Anlai Sun, Naiqiang Zhang, Yonglou Liang

“…Nighttime cloud detection using infrared (IR)-only information needs to be improved. Based on a collocated dataset from Fengyun-3D Medium Resolution Spectral Imager (FY-3D MERSI) Level 1 data and CALIPSO CALIOP lidar Level 2 product, this study proposes a novel framework leveraging Light Gradient-Boosting Machine (LGBM), integrated with grey level co-occurrence matrix (GLCM) features extracted from IR bands, to enhance nighttime cloud detection capabilities. …”
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Comparing the performance of screening surveys versus predictive models in identifying patients in need of health-related social need services in the emergency department. by Olena Mazurenko, Adam T Hirsh, Christopher A Harle, Joanna Shen, Cassidy McNamee, Joshua R Vest

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The Concept of Determining a Ship’s Route Based on the Capability Plot and Dijkstra’s Algorithm—Finding the Ship’s Route Between Anchorages by Jakub Wnorowski, Andrzej Łebkowski

“…The operation of the algorithm for determining the passage route was demonstrated in the anchor design tool developed in the Unity3D environment.…”
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Nonpuerperal Uterine Inversion: What the Gynaecologists Need to Know? by R. P. Herath, M. Patabendige, M. Rashid, P. S. Wijesinghe

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Gastrointestinal Fistulas—What Gastroenterologists Need to Know in 2025 by Monjur Ahmed

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New Therapeutic Scenarios in the Context of Adjuvant Treatment for HR+/HER2−Breast Cancer: The Possible Role of Ribociclib in Treatment Algorithms for Stage II and III by Nicola Battelli, Carmela Mocerino, Michele Montedoro, Mirco Pistelli, Ilaria Portarena, Mario Rosanova, Tina Sidoni, Patrizia Vici

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Intelligent implementation of muscle strain identification algorithm in Mi health exercise induced waist muscle strain by Hu Wei, Zhong Hao, Wang Changyong

“…In order to improve the accuracy and efficiency of identifying lumbar muscle strain, based on the You Only Look Once version 3 algorithm, an intelligent recognition filtering algorithm combining sliding window and histogram of oriented gradient features is proposed to avoid misdiagnosis caused by artifact interference. …”
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Multiscale pore/throat characterization in tight sandstone formation with multi-threshold image segmentation algorithm by Hu Rongrong, Han Jiangchen, Wang Chenchen, Zhu Jian, Dong Hu

“…IntroductionPore space in tight sandstone formation is very complex with micro-scale and nano-scale pores/throats, the multi-scale characteristics needs to be considered for the construction of microscopic pore model accurately.MethodsIn this paper, micro-CT is used to obtain the representative 3D micro-scale gray image, and nano-CT is used to obtain the representative 3D nano-scale gray image based on the representative nano subsample. …”
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Application of ASP-NET technology based on B/S architecture in teacher management system by Ming Dong, Rui Pan

“…Finally, the teacher management system is tested, and it is found that when the minimum confidence support is small or the database is large, the Fp-Growth algorithm needs a very large memory when used alone. …”
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A Study of Deep Learning Neural Network Algorithms and Genetic Algorithms for FJSP by Xiaofeng Shang

“…Simulation results showed that the accuracy of the CNN-LSTM-GA algorithm was between 85.2% and 95.3% in the test set. …”
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Unmet needs in the clinical management of chronic hepatitis B infection by Peter D. Block, Joseph K. Lim

“…The review herein will focus on three timely clinical issues in HBV. This includes efforts to optimize delivery of perinatal HBV care, improve HBV-related hepatocellular carcinoma risk stratification models, and clarify the role of finite therapy in the HBV treatment algorithm. …”
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Understanding UK policymakers’ evidence needs through policy questions by Magda Osman, Nick Cosstick

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Improving MPCitH with Preprocessing: Mask Is All You Need by Guowei Liu, Guoxiao Liu, Kaijie Jiang, Qingyuan Yu, Keting Jia, Puwen Wei, Meiqin Wang

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Unmet needs in abnormal uterine bleeding due to ovulatory dysfunction by Tommaso Simoncini, Hisham Arab, Nataliia Pedachenko, Qinjie Tian, Fernando Pineda, Balamba Puranam, Rubina Sohail, Maria Celeste Osorio Wender

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A Low Inrush Current Pre-Charging Strategy of M3C with Improved Nearest Level Modulation by Rufei He, Yikai Li, Yumin Peng, Yiming Ma, Fanqi Huang, Hailong Li, Wei Luo

“…The modular multilevel matrix converter (M3C) can perform AC/AC conversion directly. However, M3C operation often requires a pre-charging process, which can be challenging due to the need for fast pre-charging with low inrush current. …”
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A Navigation Algorithm Based on the Reinforcement Learning Reward System and Optimised with Genetic Algorithm by Mireya Cabezas-Olivenza, Ekaitz Zulueta, Iker Azurmendi-Marquinez, Unai Fernandez-Gamiz, Danel Rico-Melgosa

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A computational enhancement of Base64 algorithm using Residue Number System algorithms by Kolawole Bariu LOGUNLEKO, Abolore Muhamin LOGUNLEKO, Ayisat Wuraola ASAJU-GBOLAGADE, Akinbowale Nathaniel BABATUNDE, Kazeem Alagbe GBOLAGADE

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TomatoWUR: An annotated dataset of tomato plants to quantitatively evaluate segmentation, skeletonisation, and plant-trait extraction algorithms for 3D plant phenotyping4TU.researc... by Bart M. van Marrewijk, Tim van Daalen, Katarína Smoleňová, Bolai Xin, Gerrit Polder, Gert Kootstra

“…Those three steps need to be analysed properly to indicate bottlenecks and improve 3D phenotyping algorithms.Currently, the development of 3D phenotyping algorithms is inhibited by the availability of comprehensive datasets and algorithms to analyse all steps. …”
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A novel algorithm for streamlined surgeon-dominated patient-specific implant design in computer-assisted jaw reconstruction by Ankit Nayak, Jane Jingya PU, Xingna YU, Yu-Xiong Su

“…Methods The algorithm requires a three-dimensional (3D) model of the reconstructed part. …”
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Construction of smart tourism system integrating tourist needs and scene characteristics by Xiqiong Wang

“…The experimental data showed that the enhanced heuristic search algorithm visited 122 nodes, which is 62.9% and 52.3% less than the sparrow search algorithm and the improved genetic search strategy, respectively. …”
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