Evaluation of Artificial Intelligence: Computer-aided Detection of Colorectal Polyps by Yuya Hiratsuka, Takashi Hisabe, Kensei Ohtsu, Tatsuhisa Yasaka, Kazuhiro Takeda, Masaki Miyaoka, Yoichiro Ono, Takao Kanemitsu, Kentaro Imamura, Teruyuki Takeda, Satoshi Nimura, Kenshi Yao

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Wearable Regionally Trained AI-Enabled Bruxism-Detection System by Anusha Ishtiaq, Jahanzeb Gul, Zia Mohy Ud Din, Azhar Imran, Khalil El Hindi

“…In this study, a wearable EMG-based device has been designed to monitor and detect jaw clenching in the supine position using EMG of the two facial muscles, Temporalis and Masseter. …”
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Antenna Polarization Optimization for Target Detection in Non-Gaussian Clutter by Xu Cheng, Yong-zhen Li, Xue-song Wang

“…By employing the simulation, we demonstrate that the polarization waveform optimization can bring the significant performance gain on target detection as compared to the conventional full-polarization approach. …”
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Background Information Self-Learning Based Hyperspectral Target Detection by Yufei Tian, Jihai Yang, Shijun Li, Wenning Xu

“…In this paper we proposed a target detection method based on background self-learning to extract the biologic information from the hyperspectral images. …”
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Advanced Fuzzy-Logic-Based Traffic Incident Detection Algorithm by Changhong Zhu, Zhenjun Guo, Jie Ke

“…This study demonstrates an incident detection algorithm that uses the meteorological and traffic parameters for improving the poor performance of the automatic incident detection (AID) algorithms under extreme weather conditions and for efficiently using the meteorological devices on advanced freeways. …”
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COVID-19 Infodemic in Malaysia: Conceptualizing Fake News for Detection by Chee Kuan Lim, Zurinahni Zainol, Bahiyah Omar, Noor Farizah Ibrahim

“…Under the study of COVID-19 fake news detection, the synthetic minority oversampling technique (SMOTE) is used to generate synthetic instances of real news in the training set after natural language processing (NLP) and before data modelling because the number of fake news is approximately three times greater than that of real news. …”
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Deep-Learning-Based Bughole Detection for Concrete Surface Image by Gang Yao, Fujia Wei, Yang Yang, Yujia Sun

“…The traditional measurement methods are carried out by in situ manual inspection, and the detection process is time-consuming and difficult. …”
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PMDNet: An Improved Object Detection Model for Wheat Field Weed by Zhengyuan Qi, Jun Wang

Subjects: “…wheat field weed detection…”
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A Spectroscopic Methodology to Early Detection of Urinary Tract Infections by Ana F. N. S. Mendes, Nuno Matela, João M. P. Coelho, Joaquim T. Marquês

“…The lack of standardised methods as a first step for urine monitoring and early detection of UTIs is the driving force of this work, which aims to explore the potential of absorption and fluorescence spectroscopic methodologies to detect UTIs. …”
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DCFE-YOLO: A novel fabric defect detection method. by Lei Zhou, Bingya Ma, Yanyan Dong, Zhewen Yin, Fan Lu

“…Accurate detection of fabric defects is crucial for quality control in the textile industry. …”
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Molecular Detection of Porcine Torovirus in Piglets with Diarrhea in Southwest China by Yuancheng Zhou, Lei Chen, Ling Zhu, Zhiwen Xu

“…Porcine torovirus (PToV) was detected from intestinal samples of piglets with diarrhea from 20 farms in southwest China. …”
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Deep learning in defects detection of PV modules: A review by Katleho Masita, Ali Hasan, Thokozani Shongwe, Hasan Abu Hilal

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Optimal Covid-19 Control on Effectiveness of Detection Campaign and Treatment by Mouhamadou A. M. T. Baldé, Sidy Ly, Léna Tendeng

“…Numerical simulations based on COVID-19 data in Senegal show possibilities to reduce the disease evolution, sometimes by emphasizing the detection campaign and/or the treatment proposed to patients.…”
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Multi-cancer early detection tests: a strategy for improvement by Holli Loomans-Kropp

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Heterogeneous Signal Fusion Method in Driving Fatigue Detection Signals by Qingjun Wang, Zhendong Mu

“…Experimental results show that the detection accuracy of the heterogeneous signal fusion method in fatigue detection is as high as 80%.…”
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Evaluating the Performance of SVM, Isolation Forest, and DBSCAN for Anomaly Detection by Lu Haowen

“…Identifying the most effective algorithm for anomaly detection is essential for enhancing nidustrial productivity. …”
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Metasurface higher-order poincaré sphere polarization detection clock by Hui Yang, Kai Ou, Qiang Liu, Meiyu Peng, Zhenwei Xie, Yuting Jiang, Honghui Jia, Xinbin Cheng, Hui Jing, Yueqiang Hu, Huigao Duan

“…Here, we propose a general polarization metrology method capable of fully detecting SoP on any HOPS through a single measurement. …”
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Detection of the effect of climate change on the drainage of Aquifer of Birjand plain by Behzad Amraei

“…The main purpose of this research is to detect the effect of droughts caused by the change in groundwater resources in Birjand plain. …”
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Terahertz Spectroscopy and Imaging Detection of Defects in Civil Aircraft Composites by Mian Zhong, Bingwei Liu, Chen Li, Zhiqi Wang, Dongshan Wei, Bin Zhou, Xin Dai, Yajun Xu

“…In general, the imaging results in time-domain imaging are better than those from the frequency-domain imaging, which not only is suitable for the qualitative detection of defects but also has great potential and application prospects in quantitative detection. …”
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A privacy-enhanced framework with deep learning for botnet detection by Guangli Wu, Xingyue Wang

Subjects: “…Botnet detection…”
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