Change Detection and Incremental Updates for Multi-Source Road Networks Considering Topological Consistency by Xiaodong Wang, Dongbao Zhao, Xingze Li, Nan Jia, Li Guo

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Multi-objective optimization algorithms for intrusion detection in IoT networks: A systematic review by Shubhkirti Sharma, Vijay Kumar, Kamlesh Dutta

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SDES-YOLO: A high-precision and lightweight model for fall detection in complex environments by Xiangqian Huang, Xiaoming Li, Limengzi Yuan, Zhao Jiang, Hongwei Jin, Wanghao Wu, Ru Cai, Meilian Zheng, Hongpeng Bai

Subjects: “…Fall detection…”
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Brain Tumor Detection and Classification Using IFF-FLICM Segmentation and Optimized ELM Model by Suvashisa Dash, Mohammed Siddique, Satyasis Mishra, Demissie J. Gelmecha, Sunita Satapathy, Davinder Singh Rathee, Ram Sewak Singh

“…So, automatic detection and classification are essential to reduce the time of diagnosis. …”
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3D data augmentation and dual-branch model for robust face forgery detection by Changshuang Zhou, Frederick W.B. Li, Chao Song, Dong Zheng, Bailin Yang

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Linear Matrix Inequalities in Fault Detection Filter Design for Linear Ostensible Metzler Systems by Dušan Krokavec, Anna Filasová

“…The numerical solution and simulation results show that the proposed approach provides superior sensitivity of the fault detection filter in detecting faults, compared to synthesis methods that do not guarantee the positivity of the filter gain.…”
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Comparative Evaluation of Q-scan and Disclosing Solution in Plaque Detection: A Comparative Study by Zainab Akram, Mahesh Ravindra Khairnar, P. G. Naveen Kumar, Ananta Kusumakar, Sachin Kumar Jadhav, Harloveen Sabharwal, S. Savitha Priyadarsini

“…The objective of the study was to evaluate and compare the ability of plaque detection of fluorescence plaque detecting system Q scan with the traditionally used plaque disclosing solution. …”
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SensorDBSCAN: Semi-Supervised Active Learning Powered Method for Anomaly Detection and Diagnosis by Petr Ivanov, Maria Shtark, Alexander Kozhevnikov, Maksim Golyadkin, Dmitry Botov, Ilya Makarov

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Design of a Drowsiness Prevention Helmet with Vibration and IoT-Based Theft Detection Alarms by Aditya Putra Perdana Prasetyo, Harlis Richard Sitorus, Rahmat Fadli Isnanto, Adi Hermansyah

“…The helmet theft detector uses a Sharp GP2Y0A21 sensor that can only detect object distances up to 10 cm. …”
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TEMPO-Functionalized Nanoporous Au Nanocomposite for the Electrochemical Detection of H2O2 by Dongxiao Wen, Qianrui Liu, Ying Cui, Huaixia Yang, Jinming Kong

“…A wide linear range with a detection limit of 7.8 × 10-7 M and a higher sensitivity of 110.403 μA mM-1cm-2 were obtained for detecting H2O2 at optimal conditions.…”
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Research on wireless coverage area detection technology for 5G mobile communication networks by Hongjun Wang, Yu Zhou, Wenhao Sha

“…The current method for coverage detection is drive test, which is based on mobile terminals. …”
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Application research on the time–frequency analysis method in the quality detection of ultrasonic wire bonding by Wuwei Feng, Xin Chen, Cuizhu Wang, Yuzhou Shi

“…Therefore, a time–frequency analysis method was proposed to detect and identify fault bonds. First, the bonding voltage and current signals were acquired from the ultrasonic generator. …”
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Touchless Mechanism to Detect Rhodamine B Concentration in Distilled Water Using Fiber Bundle by Samian, A. H. Zaidan, Patricia, R. N. Afifah, M. Yasin

“…Detection of rhodamine B concentration in distilled water can be conducted without direct contact between the sensor probe and the sample using fiber bundle as a sensor probe and concave mirror as a sample container. …”
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A split intein and split luciferase-coupled system for detecting protein-protein interactions by Zhong Yao, Jiyoon Kim, Betty Geng, Jinkun Chen, Victoria Wong, Anna Lyakisheva, Jamie Snider, Marina Rudan Dimlić, Sanda Raić, Igor Stagljar

“…We previously developed a sensitive method, Split Intein-Mediated Protein Ligation (SIMPL), for detecting binary PPIs via irreversible splicing of the interacting proteins being investigated. …”
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Automated and Reproducible Detection of Vascular Endothelial Growth Factor (VEGF) in Renal Tissue Sections by Nayana Damiani Macedo, Aline Rodrigues Buzin, Isabela Bastos de Araujo, Breno Valentim Nogueira, Tadeu Uggere Andrade, Denise Coutinho Endringer, Dominik Lenz

“…Subsequently, machine learning classified the cells as VEGF+ and VEGF- cells. Results. VEGF was detected and cells were counted with high sensitivity and specificity. …”
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Deep learning improves physician accuracy in the comprehensive detection of abnormalities on chest X-rays by Pamela G. Anderson, Hannah Tarder-Stoll, Mehmet Alpaslan, Nora Keathley, David L. Levin, Srivas Venkatesh, Elliot Bartel, Serge Sicular, Scott Howell, Robert V. Lindsey, Rebecca M. Jones

“…Here, we present an FDA-cleared, artificial intelligence (AI) system which uses a deep learning algorithm to assist physicians in the comprehensive detection and localization of abnormalities on chest X-rays. …”
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Corrigendum to “Detection of Gastrointestinal Pathogens from Stool Samples on Hemoccult Cards by Multiplex PCR” by Martin Alberer, Nicklas Schlenker, Malkin Bauer, Kerstin Helfrich, Carolin Mengele, Thomas Löscher, Hans Dieter Nothdurft, Gisela Bretzel, Marcus Beissner

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Application of PS2M Aptamer as Receptor Layer for Electrochemical Detection of Lead Ions by Izabela Zaras, Olga Kujawa, Marcin Olszewski, Marta Jarczewska

“…Recently, it was shown that lead ions can also be detected using affinity-based biosensors, namely, using aptamers as recognition elements. …”
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Detection of Corn Quality Based on Surface-Enhanced Raman Spectroscopy and Electronic Nose Technology by HuiHe Yang, XiaoYan Wei, Guifang Wu, PengCheng Qiu, JiaNing Di, XiangPeng Zhao, WenDong Zhong, He Ren

“…This study explored a corn quality detection method based on surface-enhanced Raman spectroscopy (SERS) and electronic nose technology. …”
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Assessing brain-muscle networks during motor imagery to detect covert command-following by Emilia Fló, Daniel Fraiman, Jacobo Diego Sitt

“…Abstract Background In this study, we evaluated the potential of a network approach to electromyography and electroencephalography recordings to detect covert command-following in healthy participants. …”
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