Article
Geochemistry & Geophysics
Zhixue Wang, Yu Zhang, Lin Luo, Kai Yang, Liming Xie
Summary: This article proposes an end-to-end point-based network called 3DCDNet and introduces a new dataset named SLPCCD to tackle the street-level 3D change detection task. The network utilizes a local feature aggregation module and a nearest feature difference module to effectively extract and embed point cloud features. Experimental results demonstrate that the proposed network outperforms existing approaches.
IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING
(2023)
Article
Chemistry, Analytical
Oksana Fizer, Maksym Fizer, Vasyl Sidey, Yaroslav Studenyak
Summary: The study investigated the applicability of cetylpyridinium chloride for potentiometric titration of lipophilic anions, developing a reasonable QSPR model to estimate potential break values near the end point.
MICROCHEMICAL JOURNAL
(2021)
Article
Computer Science, Artificial Intelligence
Huijuan Zhu, Huahui Wei, Liangmin Wang, Zhicheng Xu, Victor S. Sheng
Summary: Android has become the most popular mobile operating system due to its open source nature, wide hardware compatibility, and vast application ecosystem. However, its open source nature also makes it a prime target for malware. Existing manual feature-based malware detection methods lack effectiveness and code coverage. To address this, we propose an automated extraction method that characterizes crucial parts of the Dalvik executable into RGB images. Additionally, we introduce MADRF-CNN, a novel CNN variant that incorporates multi-scale context information to capture dependencies between different parts of the image derived from the Dex file. Experimental results demonstrate that our method achieves an accuracy of 96.9%, outperforming state-of-the-art solutions.
EXPERT SYSTEMS WITH APPLICATIONS
(2023)
Article
Geochemistry & Geophysics
Weiqiang Zhu, Kai Sheng Tai, S. Mostafa Mousavi, Peter Bailis, Gregory C. Beroza
Summary: In this study, a new end-to-end approach using neural networks to optimize each stage of earthquake detection pipeline is introduced, achieving high accuracy in detecting earthquakes by extracting waveform features and associating seismic events across multiple stations.
JOURNAL OF GEOPHYSICAL RESEARCH-SOLID EARTH
(2022)
Article
Multidisciplinary Sciences
Siwen Liang, Linfei Yin, Dashui Zhang, Dongwei Su, Hui-Ying Qu
Summary: With the rapid development of industry, the increasing discharge of sewage has made water quality detection more important. The proposed ResNet14Attention network utilizes residual modules and an attention mechanism to accurately identify the titration end-point of potassium dichromate. It outperforms other convolutional neural networks in terms of accuracy and training speed.
Article
Computer Science, Information Systems
Bobae Kim, Sungbin Im, Geonwook Yoo
Summary: This paper proposes an enhanced optimal EPD method based on CNN for plasma etching process, which outperforms traditional methods in performance.
Article
Multidisciplinary Sciences
Shunmin An, Xixia Huang, Zhangjing Zheng, Linling Wang
Summary: An end-to-end sea fog removal network using a multiple scattering model was proposed in this study, which can comprehensively consider the effect of multiple scattering, avoid image blurring, and outperform state-of-the-art models in both quantitative and qualitative aspects in experimental results.
Article
Computer Science, Information Systems
Zhishuai Li, Gang Xiong, Zebing Wei, Yisheng Lv, Noreen Anwar, Fei-Yue Wang
Summary: In this article, a similarity entropy-based encoder-decoder model is proposed for efficient transportation mode detection. The model utilizes convolutional and transposed convolutional layers for encoding and decoding operations. It also incorporates the K-Means algorithm and entropy regularization for semi-supervised learning. The experimental results demonstrate the superiority of the proposed method in transportation mode detection.
IEEE INTERNET OF THINGS JOURNAL
(2022)
Article
Computer Science, Interdisciplinary Applications
Li Li Chen, Cong Huang
Summary: The one dimensional troubled cell indicator, based on extreme points of approximated polynomials, proposed by Zhu and Qiu in 2017, performs well but has two main drawbacks. Firstly, calculating extreme points of high degree polynomials is complex. Secondly, the complexity of extreme points makes it difficult to analyze how the indicator captures the main characteristics of the solution.
COMPUTERS & FLUIDS
(2021)
Article
Engineering, Electrical & Electronic
Yu Zhang, Bo Jiu, Penghui Wang, Hongwei Liu, Siyuan Liang
Summary: Traditional target detection is severely degraded in the presence of main-lobe deception jamming, leading to the proposal of an end-to-end anti-jamming target detector based on CNN. This method converts compression filters into feature extraction filters and adds a fusion filter after the extraction stage to effectively suppress jamming features while retaining target features.
IEEE SENSORS JOURNAL
(2021)
Article
Optics
Meiting Xin, Bing Li, Xiang Wei, Zhuo Zhao
Summary: This paper proposes a rapid 3D point cloud registration method based on weighted principal component analysis and re-weighted iterative closest point algorithm, which consists of three stages: coarse alignment, data simplification, and fine alignment, aiming to improve the efficiency of reverse engineering.
Article
Chemistry, Multidisciplinary
Qizhe Lu, Yicheng Jing, Xuefeng Zhao
Summary: This paper proposes a method for the automatic detection of the bolt loosening angle based on machine vision and deep learning using the latest key point detection technology. The method includes building a virtual laboratory, training datasets using the YOLOv7-pose framework, and proposing a bolt loosening angle calculation method based on the detected key points and the position relationship between neighboring bolts. The results show that the proposed method is effective at detecting the bolt loosening angle and the use of synthetic datasets significantly improves efficiency and performance.
APPLIED SCIENCES-BASEL
(2023)
Article
Optics
Ning Zhang, Yanfeng Bai, Xuanpengfan Zou, Xiquan Fu
Summary: The study introduces a new local-binary ghost imaging method using point-by-point approach to compensate for the loss of information during binarization process, successfully reconstructing target details. By comparing speckle patterns from different binarization methods, the study further explains the advantages of the proposed method. The results of the study may have potential applications in fields with high requirements for imaging details, such as target recognition.
OPTICS COMMUNICATIONS
(2021)
Article
Engineering, Electrical & Electronic
Zheng Fang, Sifan Zhou, Yubo Cui, Sebastian Scherer
Summary: This paper introduces a 3D tracking method called 3D-SiamRPN Network, which tracks a single target object using raw 3D point cloud data. Experimental results show its competitive performance in both Success and Precision, as well as real-time running capabilities.
IEEE SENSORS JOURNAL
(2021)
Article
Chemistry, Analytical
Jiye Shin, Taehwi Yoon, Junghun Park, Ki Soo Park
Summary: The study developed a point-of-care platform for the rapid and specific detection of hygiene indicator bacteria, including E. coli, coliform, and total bacteria, using a dual recognition process by PCR and CRISPR/Cas. The system achieved a low detection sensitivity and demonstrated its utility for food hygiene monitoring through spiking tests in real samples. It represents a key platform for sensitive and specific detection of hygiene indicator bacteria in resource- or facility-limited areas.
SENSORS AND ACTUATORS B-CHEMICAL
(2022)
Article
Chemistry, Analytical
Gang Qu, Yuxin Zhao, Qiaoli Zhang, Jina Wu, Xiaosen Li, Yang Yang, Shilei Liu
Summary: In this study, magnetic mesoporous materials combined with real-time in situ mass spectrometry were used for the high-throughput detection of hydrolyzed products of organophosphorus nerve agents. The method showed good linearity, low limits of detection and quantification, and high extraction recoveries. The magnetic preparation method used was quick, cost-effective, rugged, and safe. The results demonstrated the potential of this method for rapid and efficient determination of the target analytes in environmental samples.
ANALYTICAL METHODS
(2024)
Article
Chemistry, Analytical
Anna Hildebrand, Mariam Merchant, Danny O'Hare
Summary: Substandard and falsified artemisinin derivatives in antimalarials have caused significant deaths and economic losses. This study evaluates the feasibility of voltammetric methods for identifying and quantifying artemether. The findings suggest that electrochemical analysis shows promise as a method for artemether identification and quantification.
ANALYTICAL METHODS
(2024)
Article
Chemistry, Analytical
Marx Osorio Araujo Pereira, Alvaro Ferreira Junior, Edson Silvio Batista Rodrigues, Helena Mulser, Giovanna Nascimento de Mello e Silva, Wallans Torres Pio dos Santos, Eric de Souza Gil
Summary: Brazilian spotted fever (BSF) is a serious and rapidly evolving disease. A new impedimetric immunosensor was developed for rapid diagnosis by measuring specific antibodies in plasma. The sensor demonstrated selectivity and accuracy, and has potential for important applications in diagnostic testing.
ANALYTICAL METHODS
(2024)
Article
Chemistry, Analytical
Kathrin Schilling, Ronald A. Glabonjat, Olgica Balac, Marta Galvez-Fernandez, Arce Domingo-Relloso, Vesna Slavkovich, Jeff Goldsmith, Miranda R. Jones, Tiffany R. Sanchez, Ana Navas-Acien
Summary: Analysis of trace elements in urine is an important tool for assessing exposures, diagnosing nutritional status, and guiding public health and healthcare intervention. This study provides a sensitive method for analyzing 18 elements in urine samples, using only 100 μL. The results show good accuracy and sensitivity of the method.
ANALYTICAL METHODS
(2024)
Article
Chemistry, Analytical
Mengya Li, Shijie Liu, Shiliang Guo, Dong Liang, Miaoyun Li, Yaodi Zhu, Lijun Zhao, Jong-Hoon Lee, Gaiming Zhao, Yangyang Ma, Yanxia Liu
Summary: In this study, a magnetic flow device was developed to purify spores in a culture medium system. The device used magnetic nanoparticles to absorb vegetative cells, separating them from the spores. The achieved purity of the collected spores was over 95%. The study also demonstrated a rapid quantitative detection method using Raman spectroscopy.
ANALYTICAL METHODS
(2024)
Article
Chemistry, Analytical
Wanqiong Liu, Zixuan Wu, Jianwei Peng, Zebin Xu, Yong Liang
Summary: Metal-organic frameworks (MOFs) are effective carriers for molecular imprinting, but their poor dispersibility in aqueous solution is a significant drawback. In this study, we have applied amphiphilic block copolymers and molecularly imprinted technology on MOFs to improve the hydrophilicity of molecularly imprinted fluorescent materials.
ANALYTICAL METHODS
(2024)