Lightweight Detection Algorithm for Breast-Mass Features in Ultrasound Images by Taojuan Li, Wen Liu, Mingxian Song, Zheng Gu, Ling Hai

“…Thus, the proposed model effectively balances detection performance and lightweight design, making it well-suited for real-time applications on resource-constrained computing devices.…”
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A lightweight personnel detection method for underground coal mines by Shuai WANG, Wei YANG, Yuxiang LI, Jiaqi WU, Wei YANG

“…Introduce SIoU instead of the original loss function to accelerate model convergence. Finally, the introduction of the Ghost module to optimize the backbone network can reduce the computational and parametric quantities of the model without losing the model performance, improve the detection speed, and make the model easier to be deployed on resource-constrained devices. …”
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Are Your Kidneys Ok? Detect Early to Protect Kidney Health by Joseph A. Vassalotti, Anna Francis, Augusto Cesar Soares dos Santos, Jr., Ricardo Correa-Rotter, Dina Abdellatif, Li-Li Hsiao, Stefanos Roumeliotis, Agnes Haris, Latha A. Kumaraswami, Siu-Fai Lui, Alessandro Balducci, Vassilios Liakopoulos

“…using serum creatinine to estimate kidney function and urine albumin to assess for kidney and endothelial damage. …”
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A Benchmark Review of YOLO Algorithm Developments for Object Detection by Zhengmao Hua, Kaviya Aranganadin, Cheng-Cheng Yeh, Xinhe Hai, Chen-Yun Huang, Tsan-Chuen Leung, Hua-Yi Hsu, Yung-Chiang Lan, Ming-Chieh Lin

“…You Only Look Once (YOLO) has established itself as a prominent object detection framework due to its excellent balance between speed and accuracy. …”
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Lightweight detection algorithms for small targets on unmanned mining trucks by Shuoqi CHENG, Yilihamu·YAERMAIMAITI, Lirong XIE, Xiyu LI, Ying MA

“…Accurate target category detection is a prerequisite for obstacle avoidance decisions, and model lightweighting facilitates deployment in resource-limited conditions. …”
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A rapid and accurate method for Helicobacter pylori detection via integrating LAMP assay with CRISPR/Cas12b detection by one-step in one-pot by Yeqian Zhang, Tao Liu, Puhua Zhang, Bo Ni, Xingang Wang, Long Bai, Wei Sun, Yujing Guan, Xiang Xia, Hui Cao, Jiayi Gu

“…Conventional diagnostic methods, such as PCR and culture, require specialized equipment and expertise, limiting their applicability in resource-limited settings. There is a pressing need for a rapid, cost-effective, and user-friendly diagnostic platform for HP detection, particularly in point-of-care settings.MethodsWe developed an integrated detection platform combining loop-mediated isothermal amplification (LAMP) with the CRISPR/Cas12b system in a single, one-step, one-pot reaction. …”
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Survey on key technologies for protective DNS service by MA Yongzheng, LI Hongtao, MA Zhongsheng, HU Weihong, ZHANG Zhongxian

“…The domain name system (DNS) is a naming service for Internet resources that provides the function of converting from domain names to IP addresses. …”
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Rapid urban health security assessment tool: a new resource for evaluating local-level public health preparedness by Rebecca Katz, Matthew R Boyce

“…Plans and policies for responding to public health emergencies are generally framed at higher levels of governance, but developing, improving and sustaining the capacities necessary for implementing these policies is a direct function of local-level authorities. Evaluating local-level public health capacities is an important process for identifying strengths and weaknesses that can impact the preparedness for, detection of and response to health security threats. …”
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Schizophrenia Detection and Classification: A Systematic Review of the Last Decade by Arghyasree Saha, Seungmin Park, Zong Woo Geem, Pawan Kumar Singh

“…Research has been sourced from multiple databases and screened using predefined inclusion criteria. …”
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Research on intrusion detection model based on improved MLP algorithm by Qihao Zhao, Fuwei Wang, Weimin Wang, Tianxin Zhang, Haodong Wu, Weijun Ning

“…These patterns can be effectively captured through MLP’s multiple nonlinear transformations, such as ReLU and Sigmoid activation functions, which are especially beneficial for intrusion detection. …”
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Transformer-based ECG classification for early detection of cardiac arrhythmias by Sunnia Ikram, Amna Ikram, Harvinder Singh, Malik Daler Ali Awan, Sajid Naveed, Isabel De la Torre Díez, Henry Fabian Gongora, Thania Candelaria Chio Montero

“…Electrocardiogram (ECG) classification plays a critical role in early detection and trocardiogram (ECG) classification plays a critical role in early detection and monitoring cardiovascular diseases. …”
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A lightweight object detection approach based on edge computing for mining industry by Muhammad Wahab Hanif, Zhanli Li, Zhenhua Yu, Rehmat Bashir

“…A model is proposed to improve real‐time performance for edge mining detection tasks. Detection performance is enhanced by incorporating a Pixel‐wise Normalization Spatial Attention Module (PN‐SAM) into the MobileNet‐v3 bneck structure and replacing the h‐swish activation function with Mish, providing more prosperous gradient information transfer. …”
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Neural Posterior Estimation for Cataloging Astronomical Images with Spatially Varying Backgrounds and Point Spread Functions by Aakash Patel, Tianqing Zhang, Camille Avestruz, Jeffrey Regier, The LSST Dark Energy Science Collaboration

“…In experiments with semisynthetic images, we evaluate the method on key cataloging tasks: light source detection, star/galaxy separation, and flux measurement. …”
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MeStanG—Resource for High-Throughput Sequencing Standard Data Sets Generation for Bioinformatic Methods Evaluation and Validation by Daniel Ramos Lopez, Francisco J. Flores, Andres S. Espindola

“…Metagenomics analysis has enabled the measurement of the microbiome diversity in environmental samples without prior targeted enrichment. Functional and phylogenetic studies based on microbial diversity retrieved using HTS platforms have advanced from detecting known organisms and discovering unknown species to applications in disease diagnostics. …”
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Vulnerability detection method for blockchain smart contracts based on metamorphic testing by Jinfu CHEN, Zhenxin WANG, Saihua CAI, Qiaowei FENG, Yuhao CHEN, Rongtian XU, KwakuKudjo Patrick

“…Aimed at the defects of existing test methods, a vulnerability detection method for blockchain smart contracts based on metamorphic testing was proposed, which could generate test cases for specific functions in blockchain smart contracts to detect possible vulnerabilities.According to the possible security vulnerabilities, different metamorphosis relationships were designed and then metamorphic testing was performed.Through verifying whether the metamorphic relationship between the source test case and the subsequent test case was satisfied, whether the smart contract had related security vulnerabilities was judged.The experimental results show that the proposed method can effectively detect the security vulnerabilities in the smart contracts.…”
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Synthesis and properties of carbon quantum dots as an antimicrobial agent and detection of ciprofloxacin by Fangzhou Shen, Zhaoyang Lu, Kangli Yan, Kang Luo, Shuchen Pei, Pu Xiang

“…This study introduces a novel approach for the fabrication of N-CQDs derived from natural botanical sources, underscoring their potential dual functionality as fluorescent sensors and antimicrobial materials.…”
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The Bright Feature Transform for Prominent Point Scatterer Detection and Tone Mapping by Gregory D. Vetaw, Suren Jayasuriya

“…We then modify the BFT to present a difference of trigonometric functions to mitigate speckle scatterers and other random noise sources found in the imagery. …”
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Automated quantification reveals hyperglycemia inhibits endothelial angiogenic function. by Anthony R Prisco, John D Bukowy, Brian R Hoffmann, Jamie R Karcher, Eric C Exner, Andrew S Greene

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Water quality anomaly detection research based on GRU-PINN model by Zhao Xinyu

“…Maintaining high-quality water resources is essential for sustainable urban water resource management and public health. …”
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LNT-YOLO: A Lightweight Nighttime Traffic Light Detection Model by Syahrul Munir, Huei-Yung Lin

“…These results underscore the model’s feasibility and robustness compared to other state-of-the-art object detection models. The source code and dataset will be available through the GitHub repository.…”
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