SSM-based detection of rice seedling deficiency by Youran Xia, Zhengtao Zhu, Xiaobin Liu

“…This study proposes a rice seedling deficiency detection method based on a state space model, aiming to improve detection precision for small seedlings. …”
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Binocular Vision-Based Target Detection Algorithm by Huiguo Zhang

“…In the field of target detection, algorithms are challenged with multi-objective optimization problems in identifying detection targets, and it is also crucial to improve the recognition of small and insignificant targets. …”
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Transition state structure detection with machine learningś by Yitao Si, Yiding Ma, Tao Yu, Yifan Wu, Yingzhe Liu, Weipeng Lai, Zhixiang Zhang, Jinwen Shi, Liejin Guo, Oleg V. Prezhdo, Maochang Liu

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Temporal Community Detection and Analysis with Network Embeddings by Limengzi Yuan, Xuanming Zhang, Yuxian Ke, Zhexuan Lu, Xiaoming Li, Changzheng Liu

“…Notably, TCDA-NE achieves a maximum improvement of up to 0.1 in the normalized mutual information (NMI) index compared to state-of-the-art methods, highlighting its effectiveness in temporal community detection.…”
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An ultrasensitive and specific CRISPR-Cas13a-mediated point-of-care assay for monkeypox detection and PCR-based clade detection by Qin Zhang, Yan Yu, Bin Yin, Liang Xu, Hui Chen, Runjie Qiao, Ang Chen, Na Zhu, Xuping Wu

“…The detection system was optimized by synthesizing plasmids, and the detection sensitivity was explored by the continuous dilution of the plasmid. …”
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A one-stage anchor-free keypoints detection model for fast electric vehicle charging port detection and pose extraction by Feifei Hou, Qiwen Meng, Xinyu Fan, Yijun Wang

“…A key breakthrough lies in developing efficient methods to identify and locate charging ports. However, challenges such as high sensor costs, compromised robustness in complex environments, and stringent computational demands remain. …”
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An Intelligent Model for Facial Skin Colour Detection by Chih-Huang Yen, Pin-Yuan Huang, Po-Kai Yang

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Chlorpyrifos Detection Based on 9-Fluorenone Oxime by Edoardo Donà, Aleksandra Lobnik

“…Following careful optimization, the method demonstrated excellent linearity (R² = 0.98) over a concentration range of 350 to 6980 μg/L, with a limit of detection of 15.5 μg/L. …”
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Electrochemical Detection of Microplastics in Water Using Ultramicroelectrodes by Changhui Lee, Sangwon Han, Jun Hui Park

“…Herein, a method for detecting microplastics in water using single-entity electrochemistry is presented, with a focus on the interaction between microplastics in aqueous solution and the surface of an ultramicroelectrode (UME). …”
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An Efficient Anomalous Sound Detection System for Microcontrollers by Yi-Cheng Lo, Tsung-Lin Tsai, Chieh-Wen Yang, An-Yeu Wu

“…Anomalous Sound Detection (ASD) systems are pivotal in the Industrial Internet of Things (IIoT). …”
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Energy optimization in intelligent sensor networks: application of particle swarm optimization algorithm in the deployment of electronic information sensing nodes by Wang Liang

“…A Scalable coverage-based particle swarm optimization (SCPSO) algorithm integrates a probabilistic coverage model based on Euclidean distance to detect coverage gaps and guide the optimal positioning of nodes, ensuring that each target within the region of interest is covered by at least one sensor. …”
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Detection of Dental Anomalies in Digital Panoramic Images Using YOLO: A Next Generation Approach Based on Single Stage Detection Models by Uğur Şevik, Onur Mutlu

“…This study aims to develop and rigorously validate an advanced deep learning model to enhance diagnostic accuracy and efficiency in pediatric dentistry, providing an objective tool to support clinical decision-making. <b>Methods</b>: An initial comparative study of four state-of-the-art YOLO variants (YOLOv8, v9, v10, and v11) was conducted to identify the optimal architecture for detecting four common findings: Dental Caries, Deciduous Tooth, Root Canal Treatment, and Pulpotomy. …”
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Research on Optimization of Magnetic Ranging by Mechanism & Intelligence by QIAN Hongyu, CHE Yang, WANG Xiufang, FENG Fuping, JIANG Chunlei

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Optimizing Cardiovascular Risk Management in Primary Care Using a Personalized eCoach Solution Enhanced by an Artificial Intelligence–Driven Clinical Prediction Model: Protocol fro... by Rutger van Mierlo, Bart Scheenstra, Joost Verbeek, Anke Bruninx, Petros Kalendralis, Inigo Bermejo, Andre Dekker, Arnoud van 't Hof, Marieke Spreeuwenberg, Laura Hochstenbach

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Optimization of helicopter and UAV coordinated SAR time by Ming Zhang, Ying Huo, Hanzhi Zhang, Jiale Duan, Faqiang Wen

“…The helicopter-UAV rescue time optimization, in which UAV is responsible for low-altitude detection task, include the remote TAL site selection model for UAV, the SAR task allocation model of UAV, and helicopter-UAV coordinated SAR time optimization model. …”
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Optimization of the treatment of patients with severe chronic urticaria by Ye.M. Dytiatkovska, N.O. Nedohybchenko

“…All patients underwent a general clinical examination, quality of life indicators using the SKINDEX-29 questionnaire were studied; blood tryptase level once before the start of treatment using ImmunoCAP was determined, the level of total IgE in blood serum using an immunochemical method with electrochemiluminescence detection before and after the end of treatment was determined. …”
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The Effect of MoS₂ and Si₃N₄ in Surface Plasmon Resonance Biosensors for HIV DNA Hybridization Detection: A Numerical Study by Talia Tene, Diana Coello-Fiallos, María de Lourdes Palacios Robalino, Fabián Londo, Cristian Vacacela Gomez

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On the Resolution of an Inverse Problem by Shape Optimization Techniques by Chahnaz Zakia Timimoun

“…We study the inverse problem of reconstructing ω using shape optimization methods by defining the Kohn-Vogelius cost functional. …”
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Determination of optimal imaging parameters of hyperspectral images using the identification module by Chilikin Andrey, Pupin Daniil

“…The presented device is used for imaging process to detect fruit diseases at an early stage. Hyperspectral monitoring is a proven non-invasive method for detecting foetal damage. …”
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Min3GISG: A Synergistic Feature Selection Framework for Industrial Control System Security with the Integrating Genetic Algorithm and Filter Methods by Saiprasad Potharaju, Swapnali N. Tambe, G. Madhukar Rao, M. V. V. Prasad Kantipudi, Kalyan Devappa Bamane, Mininath Bendre

“…High-dimensional ICS datasets pose challenges for effective anomaly detection and classification. This study aims to enhance ICS security by improving attack detection through an optimized feature selection framework that balances dimensionality reduction and classification accuracy. …”
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