MicroCT-Based Methodology for Defect Detection and Analysis in GRFP Tube Joints by Cintia Ferreira, Olga M. O. Araújo, Alessandra Silveira Machado, Davi F. Oliveira, Gabriela Ribeiro Pereira, Ricardo Tadeu Lopes

“…The findings reveal that the micro-CT technique, when integrated with advanced image processing tools, is highly effective for detecting, locating, and quantifying defects.  …”
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Bio-inspired event-based looming object detection for automotive collision avoidance by F Schubert, J C Knight, A Philippides, T Nowotny

“…Low-latency sensory processing is a key requirement of collision avoidance systems for automated driving. …”
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Streaming current monitoring as a new approach for early detection of membrane wetting by Agathe Lizée, Patrick Loulergue, Anthony Szymczyk

“…Wetting detection has emerged as a crucial topic of research for enhancing separation processes utilizing membrane contactors. …”
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A Synergy Between Machine Learning and Formal Concept Analysis for Crowd Detection by Anas M. Al-Oraiqat, Oleksandr Drieiev, Sattam Almatarneh, Mohammadnoor Injadat, Karim A. Al-Oraiqat, Hanna Drieieva, Yassin M. Y. Hasan

“…Additionally, image processing tools play a key role in real-time monitoring by analyzing video feeds to detect crowd density, flow direction, and identify potential risks like overcrowding or emergencies. …”
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Application of a UAV-borne GPR system in the detection of water bodies and cavities by Ying WANG, Chenchen SUN, Lu ZHANG, Yifei CHEN, Song LU, Feng ZHOU

“…This demonstrates the reliability and effectiveness of the system in water body and cavity detection. Compared to traditional methods, the data processing method based on the proposed UAV-borne GPR system can significantly enhance the reflected signals from the water bottom and culverts. …”
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Detection of Artificially Generated Seismic Signals Using Balloon‐Borne Infrasound Sensors by Siddharth Krishnamoorthy, Attila Komjathy, Michael T. Pauken, James A. Cutts, Raphael F. Garcia, David Mimoun, Alexandre Cadu, Anthony Sournac, Jennifer M. Jackson, Voon Hui Lai, Daniel C. Bowman

“…Abstract We conducted an experiment in Pahrump, Nevada, in June 2017, where artificial seismic signals were created using a seismic hammer, and the possibility of detecting them from their acoustic signature was examined. …”
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Real Time Face-mask Detection with Arduino to Prevent COVID-19 Spreading by Saman M. Almufti, Ridwan B. Marqas, Zakiya A. Nayef, Tamara S. Mohamed

“… The rise of COVID-19 pandemic has had a lasting impact in many countries worldwide since 2019. Face-mask detection had been significant progress in the Image processing and deep learning fields studies. …”
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Robust circulating microRNA signature for the diagnosis and early detection of pancreatobiliary cancer by Shuichi Mitsunaga, Masafumi Ikeda, Makoto Ueno, Satoshi Kobayashi, Masahiro Tsuda, Ikuya Miki, Takamichi Kuwahara, Kazuo Hara, Yukiko Takayama, Yutaro Matsunaga, Keiji Hanada, Akinori Shimizu, Hitoshi Yoshida, Tomohiro Nomoto, Kenji Takahashi, Hidetaka Iwamoto, Hideaki Iwama, Etsuro Hatano, Kohei Nakata, Masafumi Nakamura, Hiroko Sudo, Satoko Takizawa, Atsushi Ochiai

“…The optimized serum processing conditions were evaluated using t-distributed stochastic neighbor embedding (t-SNE) visualization. …”
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The Design of a Noise Detection Automatisation Tool in Library – Based on Internet of Things by Dhiya Alfiyyah Ansar Dhiya, Yuyun, Imran Taufik

“…The Arduino processed the data from the sound sensor through the Edge Impulse platform. …”
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Auto forensic detecting algorithms of malicious code fragment based on TensorFlow by Binglong LI, Jinlong TONG, Yu ZHANG, Yifeng SUN, Qingxian WANG, Chaowen CHANG

“…In order to auto detect the underlying malicious code fragments in complex，heterogeneous and massive evidence data about digital forensic investigation, a framework for malicious code fragment detecting algorithm based on TensorFlow was proposed by analyzing TensorFlow model and its characteristics.Back-propagation training algorithm was designed through the training progress of deep learning.The underlying binary feature pre-processing algorithm of malicious code fragment was discussed and proposed to address the problem about different devices and heterogeneous evidence sources from storage media and such as AFF forensic containers.An algorithm which used to generate data set about code fragments was designed and implemented.The experimental results show that the comprehensive evaluation index F₁of the method can reach 0.922, and compared with CloudStrike, Comodo, FireEye antivirus engines, the algorithm has obvious advantage in dealing with the underlying code fragment data from heterogeneous storage media.…”
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Oligo(dA-dT)-dependent signal amplification for the detection of proteins in cells by Ken-ichi Hanaki, Seii Ohka, Kenji Yamamoto, Akio Nomoto, Hiroshi Yoshikura

“…It consists of three elementary processes: (i) detection of a protein by a primary antibody and a biotinylated secondary antibody; (ii) linking of biotinylated 15-base oligo(dA-dT) to the biotinylated immunocomplex via streptavidin; and (iii) self-priming elongation of oligo(dA-dT) by the Klenow fragment, 3′ to 5′ exo-. …”
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Haar Cascade Classifier and Adaboost Algorithm for Face Detection with the Viola-Jones Method by Mohammad Saichu Nidom

“… Face detection is a significant challenge in image processing and computer vision, with broad security, identity recognition, and human-computer interaction applications. …”
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National-Scale Detection of New Forest Roads in Sentinel-2 Time Series by Øivind Due Trier, Arnt-Børre Salberg

“…The proposed methodology is based on applying U-Net on all the available summer images with less than 10% cloud cover over a five-year period, with an aggregation step to summarize the predictions. The observed detection rate was 98%. Post-processing steps reduced the false positive rate to 46%. …”
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Radar-based elderly fall detection using SPWVD and ResNet Network by P. J. Swarubini, Ganapathy Nagarajan

“…Radarbased fall detection has emerged as a promising alternative, providing an unobtrusive method. …”
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Motion Object Detection Model for Electronic Referee Scoring in Table Tennis Events. by Xiaoke Li, Lili Guo

“…Therefore, this study combines the background subtraction method and the Kalman filtering algorithm. It processes missing images in videos to propose a motion object detection and motion estimation model for table tennis events. …”
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Machine learning and facial recognition for down syndrome detection: A comprehensive review by Khosro Rezaee

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Biopolymer-Modified Carbon Paste Electrode for the Electrochemical Detection of Pb(II) in Water by Ousama Ifguis, Abdelaziz Moutcine, Charaf Laghlimi, Younes Ziat, Rachid Bouhdadi, Abdelilah Chtaini, Amine Moubarik, Mohamed Mbarki

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DDoS attack detection and defense based on hybrid deep learning model in SDN by Chuanhuang LI, Yan WU, Zhengzhe QIAN, Zhengjun SUN, Weiming WANG

“…Software defined network (SDN) is a new kind of network technology,and the security problems are the hot topics in SDN field,such as SDN control channel security,forged service deployment and external distributed denial of service (DDoS) attacks.Aiming at DDoS attack problem of security in SDN,a DDoS attack detection method called DCNN-DSAE based on deep learning hybrid model in SDN was proposed.In this method,when a deep learning model was constructed,the input feature included 21 different types of fields extracted from the data plane and 5 extra self-designed features of distinguishing flow types.The experimental results show that the method has high accuracy,it’s better than the traditional support vector machine (SVM) and deep neural network (DNN) and other machine learning methods.At the same time,the proposed method can also shorten the processing time of classification detection.The detection model is deployed in SDN controller,and the new security policy is sent to the OpenFlow switch to achieve the defense against specific DDoS attack.…”
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YOLO-CSMD: Integrating Improved Convolutional Techniques for Manhole Cover Defect Detection by Zhiwang Xu, Haowei Luo, Huijie Zhu, Wanfa Sun, Shengying Yang

“…Recent detection algorithms for manhole cover defects exhibit limited detection capabilities, which frequently encounter the issue of missed detection. …”
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Fog Visibility Detection of Highway Based on Improved Dark Channel Prior Algorithm by Huiqi Zhang, Yong Liu, Chenxi Wu

“…This paper presents an algorithm for detecting fog visibility in expressway based on improved dark channel prior method, which transforms the difficult problem of detecting visibility through image processing into the problem of calculating atmospheric extinction coefficient. …”
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