Experimental Study on Mineral Solid Waste Green Grouting Material Based on Electromagnetic Characteristic Detection by Xiangpeng Wang, Jin Hu, Xiang Zhang, Kunpeng Wang, Di Shen, Chuntao Liang

“…In addition, the grouting quality is always difficult to detect. This study examined the gypsum- and cement-based green grouting materials made from mineral solid waste used in disaster and cloud detection by means of electromagnetic characteristics. …”
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Efficient Data Transmission for Community Detection Algorithm Based on Node Similarity in Opportunistic Social Networks by Aizimaiti Xiaokaiti, Yurong Qian, Jia Wu

“…We propose an efficient data transmission strategy for community detection (EDCD) algorithm. When dividing communities, we use mobile edge computing to combine network topology attributes with social attributes. …”
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PCA and PSO based optimized support vector machine for efficient intrusion detection in internet of things by Mutkule Prasad Raghunath, Shyam Deshmukh, Poonam Chaudhari, Sunil L. Bangare, Kishori Kasat, Mohan Awasthy, Batyrkhan Omarov, Rajesh R. Waghulde

“…The accuracy of the Intrusion Detection System (IDS) based on Particle Swarm Optimisation (PSO) is 98.5 percent. …”
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IAE-CDNet: A Remote Sensing Change Detection Network for Buildings With Interactive Attention-Enhanced by Zhaoyang Han, Linlin Zhang, Qingyan Meng, Chongchang Wang, Wenxu Shi, Maofan Zhao

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Dufulin Impacts Plant Defense Against Tomato Yellow Leaf Curl Virus Infecting Tomato by Liping Huang, Yingying Tang, Shuaixin Wang, Jianbin Chen, Jiao Du, Shuo Yan, Deyong Zhang, Xiaobin Shi, Yong Liu, Fan Li

“…Overall, the application of dufulin significantly bolstered the plant’s defense response, effectively reducing TYLCV symptoms and enhancing resistance.…”
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Temporal and Spatial Pattern of Pulmonary Tuberculosis in Gansu Province and Its Environmental Factors Detection and Analysis by Haili Zhao, Jun Wang, Minghui Wu

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An Integrated Microfluidic Microwave Array Sensor with Machine Learning for Enrichment and Detection of Mixed Biological Solution by Sen Yang, Yanxiong Wang, Yanfeng Jiang, Tian Qiang

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Rapid Detection of Astaxanthin in Antarctic Krill Meal by Computer Vision Combined with Convolutional Neural Network by Quantong ZHANG, Yao ZHENG, Liu YANG, Shuaishuai ZHANG, Quanyou GUO

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Cross-Modal Collaboration and Robust Feature Classifier for Open-Vocabulary 3D Object Detection by Hengsong Liu, Tongle Duan

Subjects: “…3D object detection…”
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Coherent Optics for Passive Optical Networks: Flexible Access, Rapid Burst Detection, and Simplified Structure by Guangying Yang, Yixiao Zhu, Ziheng Zhang, Lina Man, Xiatao Huang, Xingang Huang, Weisheng Hu

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Breaking barriers: enhancing cancer detection in younger patients by overcoming diagnostic bias in primary care by Waseem Jerjes, Waseem Jerjes, Daniel Harding, Daniel Harding

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STREAMING MICROSCOPIC IMAGE DATA TO THE CLOUD STORAGE FOR DETECTION OF ACUTE LYMPHOBLASTIC LEUKEMIA USING CNN by P. Kravchenko, I. Burlachenko

“…Research into the creation of low-cost devices and the creation of neural network architectures that can control the process of analysis and disease detection. It is proposed to develop a network consisting of hardware and software capable of transferring acquired data from the microscope to cloud storage for further use by a convolutional neural network to classify human blood smear images to detect healthy or blast blood cells. …”
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Recent Developments in Heavy Metals Detection: Modified Electrodes, Pretreatment Methods, Prediction Models and Algorithms by Yujie Shi, Shijie Zhang, Hang Zhou, Yue Dong, Gang Liu, Wenshuai Ye, Renjie He, Guo Zhao

Subjects: “…heavy metals detection…”
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CXCL-10 in Cerebrospinal Fluid Detects Neuroinflammation in HTLV-1-Associated Myelopathy with High Accuracy by Samya Jezine Da Silva, Mauro Jorge Cabral-Castro, Luiz Claudio Faria, Carolina Rosadas, Maria Fernanda Lopes de Araújo, Ana Caroline Soares Dutra, Yoshihisa Yamano, Graham Taylor, Marzia Puccioni-Sohler

“…Results: Higher white cell counts and concentrations of protein, neopterin, and CXCL-10 in CSF were detected in group A (patients with HAM) and group B (<i>p</i> < 0.05). …”
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Corrigendum to “1D CNN-Based Intracranial Aneurysms Detection in 3D TOF-MRA” by Wenguang Hou, Shaojie Mei, Qiuling Gui, Yingcheng Zou, Yifan Wang, Xianbo Deng, Qimin Cheng

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Comparative Study of Three Different BACTEC Culture Media for the Detection of Bacteremia in Ambulatory and Hospitalized Children by Deirdre L Church, H Dele Davies, G Cadrain, Cynthia L Trevenen

“…To compare the yield of two aerobic and an anaerobic BACTEC blood culture media in detecting bacteremia in ambulatory and hospitalized care settings at a children’s hospital, a prospective cohort study was completed. …”
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First Detection of <i>Alphacoronavirus</i> in Bats from the World’s Largest Wetland, the Pantanal, Brazil by Tayane B. S. Magalhães, Amanda de O. Viana, Thiago B. F. Semedo, Juliane S. Saldanha, Nicole A. dos Reis, Nathalia de A. Pereira, Rachel V. P. de Barros, Hannah R. Miranda, Gabriella C. Almeida, Desyrée Y. S. R. Ozaki, Giovana S. Caleiro, Gustavo O. Fenner, Fernanda P. Vizu, Theo Kraiser, Thais P. Carvalho, Luciano M. Thomazelli, Erick G. Dorlass, Clarice W. Arns, Helena L. Ferreira, Erika Hingst-Zaher, Rogério Vieira Rossi, Guilherme S. T. Garbino, Edison L. Durigon, Jansen de Araujo, Daniel M. de Aguiar

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Trabalho decente diante de incertezas advindas das inovações tecnológicas da era digital by Dinaura Godinho Pimentel Gomes

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A Comprehensive Investigation of Anomaly Detection Methods in Deep Learning and Machine Learning: 2019–2023 by Shalini Kumari, Chander Prabha, Asif Karim, Md. Mehedi Hassan, Sami Azam

“…Almost 85% of companies polled said they were looking into anomaly detection (AD) technologies for their industrial image anomalies. …”
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Rapid and Nondestructive Detection of Proline in Serum Using Near-Infrared Spectroscopy and Partial Least Squares by Kejing Zhu, Shengsheng Zhang, Keyu Yue, Yaming Zuo, Yulin Niu, Qing Wu, Wei Pan

“…This study explored the potential application of near-infrared spectroscopy in the detection of serum proline. We collected blood samples from clinical sources, separated the serum, established a quantitative model, and determined the changes in proline. …”
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