A Universal Tire Detection Method Based on Improved YOLOv8 by Chi Guo, Mingxia Chen, Junjie Wu, Haipeng Hu, Luobing Huang, Junjie Li

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ESP distance learning methods At technical universities by Nadiia P. Vilkhovchenko

“…English for Specific Purposes online learning involves modern methods that are constantly being improved. …”
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Arcing detection method of metro pantograph based on improved yolov4-tiny by AI Shengyong, DING Jianming, ZHANG Qingsong

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A new method and information system based on artificial intelligence for black flight identification by Arwin Datumaya Wahyudi Sumari, Rosa Andrie Asmara, Ika Noer Syamsiana

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MSWF: A Multi-Modal Remote Sensing Image Matching Method Based on a Side Window Filter with Global Position, Orientation, and Scale Guidance by Jiaqing Ye, Guorong Yu, Haizhou Bao

“…MSWF is benchmarked against eight state-of-the-art multi-modal methods—six hand-crafted (PSO-SIFT, LGHD, RIFT, RIFT2, HAPCG, COFSM) and two learning-based (CMM-Net, RedFeat) methods—on three public datasets. …”
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A comprehensive approach to portfolio optimization based on modern mathematical modeling methods by Shkanov Bulat

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Straightness control method of hydraulic support group pushing system based on neural network compensation by Yunfei WANG, Jiyun ZHAO, He ZHANG, Hao WANG, Yang ZHANG

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A New Mask R-CNN-Based Method for Improved Landslide Detection by Silvia Ullo, Amrita Mohan, Alessandro Sebastianelli, Shaik Ahamed, Basant Kumar, Ramji Dwivedi, Ganesh R. Sinha

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A Predictive Method for Unplanned Postoperative Readmission Risk Based on Heterogeneous Data by Kai YU, Xiaofeng DONG, Zhenming YUAN, Zhaojian CUI, Weibin LUO

“…The CTFN method is capable of effectively integrating data from two different structures based on deep learning technology, thereby facilitating the acquisition of favorable prediction outcomes. …”
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A Construction and Representation Learning Method for a Traffic Accident Knowledge Graph Based on the Enhanced TransD Model by Xiaojia Liu, Haopeng Wu, Dexin Yu, Yunjie Chen, Hao Wu

“…Our model introduces entity–attribute projection vectors into the dynamic mapping mechanism to explicitly encode domain attributes, and designs a dual-limit scoring loss function to independently regulate the positive and negative sample boundaries. Experimental results demonstrate that our method significantly outperforms traditional translation-based models on the self-built TAKG as well as on the FB15K-237 and WN18RR benchmark datasets. …”
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The game of language learning and rewiring biocognitive receptors by Sri Takshara K, Bhuvaneswari G, T.S. Pradeep Kumar

“…This method article presents an interdisciplinary inclusive scientific framework that unites gamification, technology, epigenetics, and neuroscience, empowering learners and promoting sustainable well-being, while laying the groundwork for intergenerational academic and personal growth. • To propose a teaching methodology that aims to bridge gaps in traditional and game based language teaching by integrating neuroscience and epigenetics, creating an inclusive framework tailored to meet the unique needs of visually impaired learners. • The method emphasizes creating stress-free, rewarding educational environments that induce neural and epigenetic changes. …”
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GRL-ITransformer: An Intelligent Method for Multi-Wind-Turbine Wake Analysis Based on Graph Representation Learning With Improved Transformer by Kang Han, Li Xu

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Machine Learning Method (Decision Tree) to Predict the Physicochemical Properties of Premium Lebanese Kishk Based on Its Hedonic Properties by Ossama Dimassi, Youmna Iskandarani, Houssam Shaib, Lina Jaber, Shady Hamadeh

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Development novice teachers’ higher-order thinking skills through online problem-based learning platform: A mixed methods experimental research by Pongwat Fongkanta, Fisik Sean Buakanok

“…The research involved 57 novice teachers participating in the research for learning development courses. The mixed method experimental design was employed in this study. …”
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Application of a flipped classroom incorporating modified team-based learning in molecular biology laboratory teaching: a mixed methods study by Meng Qu, Qinlong Hou, Xushen Li, Chunyan Yu, Jichen Xia, Zhiheng Dong

“…This study sought to elucidate the effectiveness of FC-TBL in molecular biology laboratory instruction and assess its influence on subsequent related courses’ learning outcomes. Methods A total of 109 students were randomly assigned to either the traditional Lecture-Based Learning (LBL) group or the FC-TBL group. …”
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A Method of Trackside Kilometer Post Identification Combined with YOLOv3 Model by QIU Xinhua, WANG Wenkun, JI Yuwen, LI Jia

“…Transfer learning is adopted to obtain possible rectangular region of kilometer post based on the trained network parameters. …”
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Comparison of Random Survival Forest Based‐Overall Survival With Deep Learning and Cox Proportional Hazard Models in HER‐2‐Positive HR‐Negative Breast Cancer by Wenqi Cai, Yan Qi, Linhui Zheng, Huachao Wu, Chunqian Yang, Runze Zhang, Chaoyan Wu, Haijun Yu

“…Aims This study aims to build a survival prediction model for breast cancer patients based on different methods. The optimal model will provide more accurate survival predictions for clinical decision‐making of HER2 positive and HR negative cancer patients. …”
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Robust UWB Positioning System Using Switching Tracking Filters With Estimated States-Based Non-Line-of-Sight Classifier by Miseon Han, Jeongtae Kim

“…We present a novel UWB-based positioning system that incorporates a deep learning-based non-line-of-sight (NLOS) classifier and a switching tracking filter. …”
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The Impact of Tin Mining Activities and Its Integration in Science Learning by Tisrin Maulina Dewi, Margareta Rahayuningsih, Aditya Marianti, Fitria Meilina

“…This study aims to describe the impact of tin mining activities in Karimun Regency and its integration into science learning. The research method used is descriptive qualitative with data collection techniques through interviews, observations, and literature studies. …”
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An Optimized Design of New XYθ Mobile Positioning Microrobotic Platform for Polishing Robot Application Using Artificial Neural Network and Teaching-Learning Based Optimization by Minh Phung Dang, Hieu Giang Le, Ngoc Le Chau, Thanh-Phong Dao

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