Application of hyperthermia robots in Cyber-syndrome treatment by Xueyan YIN, Feifei SHI, Jinqiang WANG, Huansheng NING

“…Compared with domestic research, foreign research in this area is scarcer, but the field as a whole shows a good development trend and broad application prospects. …”
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UAV Autonomous Navigation System Based on Air–Ground Collaboration in GPS-Denied Environments by Pengyu Yue, Jing Xin, Yan Huang, Jiahang Zhao, Christopher Zhang, Wei Chen, Mao Shan

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Remote sensing inversion of nitrogen content in silage maize plants based on feature selection by Kejing Cheng, Kejing Cheng, Jixuan Yan, Jixuan Yan, Guang Li, Guang Li, Weiwei Ma, Weiwei Ma, Zichen Guo, Zichen Guo, Wenning Wang, Wenning Wang, Haolin Li, Qihong Da, Qihong Da, Xuchun Li, Xuchun Li, Yadong Yao, Yadong Yao

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A data science pipeline applied to Australia's 2022 COVID-19 Omicron waves by James M. Trauer, Angus E. Hughes, David S. Shipman, Michael T. Meehan, Alec S. Henderson, Emma S. McBryde, Romain Ragonnet

“…The field of software engineering is advancing at astonishing speed, with packages now available to support many stages of data science pipelines. …”
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Optimization Design Method of a 6-DOF Micromanipulation Mechanism for Extreme Ultraviolet Projection Lithography Objective Lens by Shiyu Li, Junbo Liu, Ji Zhou, Haifeng Sun, Chuan Jin, Xia Kang, Song Hu

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A salient feature establishment tactic for cassava disease recognition by Jiayu Zhang, Baohua Zhang, Zixuan Chen, Innocent Nyalala, Kunjie Chen, Junfeng Gao

“…Accurate classification of cassava disease, particularly in field scenarios, relies on object semantic localization to identify and precisely locate specific objects within an image based on their semantic meaning, thereby enabling targeted classification while suppressing irrelevant noise and focusing on key semantic features. …”
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Research on Recognition of Green Sichuan Pepper Clusters and Cutting-Point Localization in Complex Environments by Qi Niu, Wenjun Ma, Rongxiang Diao, Wei Yu, Chunlei Wang, Hui Li, Lihong Wang, Chengsong Li, Pei Wang

“…The harvesting of green Sichuan pepper remains heavily reliant on manual field operations, but automation can enhance the efficiency, quality, and sustainability of the process. …”
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Bayesian optimization of underground railway tunnels using a surrogate model by Hassan Liravi, Hoang-Giang Bui, Sakdirat Kaewunruen, Aires Colaço, Jelena Ninić

“…The validation and optimization algorithms are evaluated for two problems: underground railway tunnels with circular and rectangular cross-sections, both embedded in a homogenous full-space medium. …”
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Comparative Evaluation of Fractional-Order Models for Lithium-Ion Batteries Response to Novel Drive Cycle Dataset by Xinyuan Wei, Longxing Wu, Chunhui Liu, Zhiyuan Si, Xing Shu, Heng Li

“…Recently, the fractional-order equivalent circuit models (FOMs), as a frequency-domain modeling approach, offer distinct advantages for constructing high-precision battery models in field of electric vehicles. …”
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Eagle-YOLOv8: UAV Object Detection Inspired by the Eagle-Eye Vision System by Dianwei Wang, Zehao Gao, Jie Fang, Yuanqing Li, Zhijie Xu

“…Confronting such challenges, we propose Eagle-YOLOv8, an object detection algorithm for UAV imagery inspired by the eagle-eye vision system. …”
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Real-time lithology identification while drilling based on drilling parameters analysis with machine learning by Kun Li, Ting Ren, Ningping Yao, Jon Roberts, Haitao Song, Zhongbei Li, Chunmiao Liang

“…Field tests were conducted in an underground coal mine in China. …”
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An Automated and Efficient Slope Unit Division Method Coupled with Computer Graphics and Hydrological Principles by Ting Xiao, Li Zhu, Lichang Wang, Beibei Yang, Can Wang, Haipeng Yao

“…The method employs digital elevation model (DEM) input data to construct a three-stage hierarchical framework comprising (1) terrain skeleton extraction through a morphological erosion algorithm, (2) topological relationship iteration optimization, and (3) multisource parameter coupling constraints. …”
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Advancing Water Quality Management: An Integrated Approach Using Ensemble Machine Learning and Real-Time Interactive Visualization by Jigna K. Pandya, Suresh S. Khandelwal, Rupesh Kumar Tipu, Kartik S. Pandya

“…An ensemble model combining Decision Trees, Random Forest, Gradient Boosting Machines (GBM), XGBoost and Neural Networks was constructed, leveraging the strengths of each algorithm to enhance predictive accuracy. …”
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DMF-YOLO: Dynamic Multi-Scale Feature Fusion Network-Driven Small Target Detection in UAV Aerial Images by Xiaojia Yan, Shiyan Sun, Huimin Zhu, Qingping Hu, Wenjian Ying, Yinglei Li

“…This approach provides an efficient solution for UAV real-time perception tasks and offers novel insights for multi-scale object detection algorithm design.…”
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Research on Measurement of Coal–Water Slurry Solid–Liquid Two-Phase Flow Based on a Coriolis Flow Meter and a Neural Network by Jie Liu, Lingfei Kong, Jiahao Ma, Xuemei Zhang, Chengjie Wang, Dongze Wu

“…To address this issue, we designed and constructed a CWS liquid–solid two-phase flow measurement platform to investigate the flow measurement errors of CWS in Coriolis mass flow meters under various conditions. …”
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Metabolomic analysis in severe childhood pneumonia in the Gambia, West Africa: findings from a pilot study. by Evagelia C Laiakis, Gerard A J Morris, Albert J Fornace, Stephen R C Howie

“…Metabolomics, a rapidly evolving field aimed at characterizing metabolites in biofluids, has the potential to improve diagnostics in a range of diseases. …”
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Artificial Intelligence in Forensic Expertology by E. V. Chesnokova, A. I. Usov, G. G. Omel’yanyuk, M. V. Nikulina

“…In addition, all work on AI in the field of forensic expertise should take into account the provisions of the AI Code of Ethics, which applies to relations associated with the ethical aspects of creation (design, construction, piloting) the introduction and use of AI technologies at all stages of forensic activities.…”
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Thyroid nodule classification in ultrasound imaging using deep transfer learning by Yan Xu, Mingmin Xu, Zhe Geng, Jie Liu, Bin Meng

“…In this study, we investigate the predictive efficacy of distinguishing between benign and malignant thyroid nodules by employing traditional machine learning algorithms and a deep transfer learning model, aiming to advance the diagnostic paradigm in this field. …”
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Strata pressure behavior law and regional-level intelligent early warning for high-intensity mining in extended working faces of medium-thick coal seams in Yuheng mining area by Feng CUI, Cheng ZONG, Xingping LAI, Tao XIE, Yunhu BAI, Yi ZHANG, Chong JIA, Hao WANG, Zhong LUO, Hao LIU

“…A Transformer (Patch Time Series Transformer, PatchTST) mine pressure prediction model based on the patch mechanism was constructed. Multiple prediction models were horizontally compared and tested based on the field measured data to verify the accuracy of PatchTST and its applicability to the prediction of long mine pressure sequences. …”
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Automatic Quality Assessment of Speech-Driven Synthesized Gestures by Zhiyuan He

“…The automatic synthesis of realistic gestures has the ability to change the fields of animation, avatars, and communication agents. …”
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