Research Progress on the Application of Near Infrared Spectroscopy in Cereal Detection by WANG Zixi, SHEN Qun, ZHAO Qingyu

“…Near infrared spectroscopy has been widely used as a rapid and non-destructive detection method for cereal analysis in recent years. …”
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Automated Detection of Microseismic Arrival Based on Convolutional Neural Networks by Weijian Liu, Haoyuan Chang, Yang Xiao, Shuisheng Yu, Chuanbo Huang, Yuntian Yao

“…It is difficult to accurately and efficiently detect seismic wave signals at the time of arrival for automatic positioning from microseismic waves. …”
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Detection of specific antibodies to Schmallenberg virus using microneutralisation test by S. V. Kononova, O. P. Byadovskaya, A. A. Nesterov, I. N. Shumilova, A. V. Kononov

“…The article presents data on microneutralization test for detection of specific antibodies to Schmallenberg virus. …”
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A Latent Implementation Error Detection Method for Software Validation by Jiantao Zhou, Jing Liu, Jinzhao Wu, Guodong Zhong

“…From the view of integrating model checking and conformance testing into a tightly coupled validation approach, this paper presents a novel approach to detect latent errors in software implementation. The latent errors can be classified into two kinds, one is called as Unnecessary Implementation Trace, and the other is called as Neglected Implementation Trace. …”
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Compressive Detection Using Sub-Nyquist Radars for Sparse Signals by Ying Sun, Jianjun Huang, Jingxiong Huang, Li Kang, Li Lei, Yi Tang

“…The compressive GLRT detection performance of sub-Nyquist radars is also compared to the traditional GLRT detection performance of conventional radars, which employ traditional analog-to-digital conversion (ADC) at Nyquist sampling rates. …”
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Use of ammunition with programmable blasting time in air-defense complex by В.В. Воїнов

“…In article analysis of increasing the possibilities of the small air targets defeating by the available air defense means was done. …”
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Detection Performance of Polarization and Spatial Diversities for Indoor GNSS Applications by Mohammadreza Zaheri, Ali Broumandan, Vahid Dehghanian, Gérard Lachapelle

“…Multipath fading in the form of signal power fluctuation poses a formidable challenge to GNSS signal detection in harsh multipath environments such as indoors. …”
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Ultrasound Biomicroscopy Detects Peters’ Anomaly and Rieger’s Anomaly in Infants by Wen-Si Chen, Dao-Man Xiang, Lan-Xiang Hu

“…Type II: Type I alteration plus abnormal strand of iris extended to the border of the posterior corneal defect or iridocorneal adhesion. Type III: Type I or II combined with the abnormal hyperechoic lens, lens luxation, or keratolenticular adhesion. …”
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Halo-Independent Comparison of Direct Dark Matter Detection Data by Eugenio Del Nobile

“…We review the halo-independent formalism that allows comparing data from different direct dark matter detection experiments without making assumptions on the properties of the dark matter halo. …”
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Thermal Runaway Detection Method for Smart Electric Bicycle Charger by Jing Ning, Bing Xiao, Wenbin Zhao

“…ABSTRACT A novel algorithm for thermal runaway detection embedded in the electric bicycle charging system is proposed. …”
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Site Assessment of Multiple-Sensor Approaches for Buried Utility Detection by Alexander C. D. Royal, Phil R. Atkins, Michael J. Brennan, David N. Chapman, Huanhuan Chen, Anthony G. Cohn, Kae Y. Foo, Kevin F. Goddard, Russell Hayes, Tong Hao, Paul L. Lewin, Nicole Metje, Jen M. Muggleton, Adham Naji, Giovanni Orlando, Steve R. Pennock, Miles A. Redfern, Adrian J. Saul, Steve G. Swingler, Ping Wang, Christopher D. F. Rogers

“…This paper describes the progress of a research project that aims to develop a multi-sensor geophysical platform that can improve the probability of complete detection of the infrastructure buried beneath the carriageway. …”
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Towards Pedestrian Target Detection with Optimized Mask R-CNN by Dong-Hao Chen, Yu-Dong Cao, Jia Yan

“…Aiming at the problem of low pedestrian target detection accuracy, we propose a detection algorithm based on optimized Mask R-CNN which uses the latest research results of deep learning to improve the accuracy and speed of detection results. …”
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Defensive Spray Mechanism of a Silphid Beetle (Necrodes Surinamensis) by Thomas Eisner, Jerrold Meinwald

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Satellite-Based Forest Stand Detection Using Artificial Intelligence by Patrik Kovacovic, Rastislav Pirnik, Julia Kafkova, Mario Michalik, Alzbeta Kanalikova, Pavol Kuchar

“…An optimal model was selected based on parameters such as detection accuracy, total training time, and the precision of labeling detected image elements. …”
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Detection of serum soluble markers of immune activation in rheumatoid arthritis by T. Kogure, T. Itoh, Y. Shimada, T. Shintani, H. Ochiai, K. Terasawa

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DRAV: Detection and repair of data availability violations in Internet of Things by Jinlin Wang, Haining Yu, Xing Wang, Hongli Zhang, Binxing Fang, Yuchen Yang, Xiaozhou Zhu

“…Existing research on dealing with data availability violations is insufficient. In this work, the detection and repair of data availability violations (DRAV) framework is proposed to detect and repair data violations in Internet of Things with a distributed parallel computing environment. …”
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Performance Analysis of Diabetes Detection Using Machine Learning Classifiers by Hung Huynh, Liu Hui, Ngoc Han Nguyen, Ruixuan Qiao

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Detection of Illegal Movement in Radioactive Material Transportation Security Systems by Tiejun Zeng, Xiaohua Yang, Yaping Wan, Panpan Jiang, Liu Zhenghai

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Synthetic Receptors Decorated on Nanoparticles for Selective and Sensitive Glyphosate Detection by Ilgım Gokturk, Mamajan Ovezova, Gaye Ezgi Yilmaz, Deniz Turkmen, Fatma Yilmaz, Adil Denizli

“…The linear concentration range for glyphosate detection was 0.001 ppm–10.000 ppm of pesticide, and the detection limit was found to be 0.120 ppb. …”
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Custom YOLO Object Detection Model for COVID-19 Diagnosis by Noor Najah Ali, Aseel Hameed, Asanka G. Perera, Ali Al_Naji

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