A Damage Detection Algorithm Utilizing Dynamic Displacement of Bridge under Moving Vehicle by Zhen Sun, Tomonori Nagayama, Di Su, Yozo Fujino

“…A damage detection method is proposed, which utilizes dynamic displacement of bridge structures under moving vehicle. …”
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Using WPCA and EWMA Control Chart to Construct a Network Intrusion Detection Model by Ying-Ti Tsai, Chung-Ho Wang, Yung-Chia Chang, Lee-Ing Tong

“…Thus, a simple and effective model for detecting abnormal behaviors may be more practical for information personnel than attempting to identify network intrusion modes. …”
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Pre-T cell receptor-α immunodeficiency detected exclusively using whole genome sequencing by Daniele Merico, Nigel Sharfe, Harjit Dadi, Bhooma Thiruvahindrapuram, Jill de Rijke, Zakia Dahi, Mehdi Zarrei, Abdulrahman Al Ghamdi, Azhar Al Shaqaq, Linda Vong, Stephen W. Scherer, Chaim M. Roifman

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Rapid Electrochemical Detection of Radiolysis Products in an Aqueous Solution Exposed to Alpha Particle Beams by J. E. Liedhegner, W. Jennings, J. Wainright

“…An electrochemical cell has been developed that allows for the rapid and exhaustive detection of oxygen and/or hydrogen peroxide produced during the radiolysis of aqueous solutions by alpha particle or proton beams. …”
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Anthropometric Landmark Detection Network via Geodesic Heatmap on 3D Human Scan by Min Hee Cha, Jae Hyeon Park, Ji Sun Byun, Sangyeon Ahn, Gyoomin Lee, Seung Hyun Yoon, Sung In Cho

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Reply to: comment on “Early cancer detection by serum biomolecular fingerprinting spectroscopy with machine learning” by Shilian Dong, Dong He, Qian Zhang, Chaoning Huang, Zhiheng Hu, Chenyang Zhang, Lei Nie, Kun Wang, Wei Luo, Jing Yu, Bin Tian, Wei Wu, Xu Chen, Fubing Wang, Jing Hu, Xiangheng Xiao

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Moving Object Detection Using Dynamic Motion Modelling from UAV Aerial Images by A. F. M. Saifuddin Saif, Anton Satria Prabuwono, Zainal Rasyid Mahayuddin

“…Existing moving object detection approaches from UAV aerial images did not deal with motion based pixel intensity measurement to detect moving object robustly. …”
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Detection of human noroviruses in sewage by next generation sequencing in Shandong Province, 2019–2021 by Suting Wang, Mingyi Xu, Xiaojuan Lin, Ping Xiong, Yao Liu, Aiqiang Xu, Meng Chen, Shengxiang Ji, Zexin Tao

“…The most frequently detected genotypes were GI.5 (86.11%), GII.2 (86.11%), GII.4 (63.89%), GII.17 (58.33%), and GII.13 (55.56%). …”
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PCA-Based Line Detection from Range Data for Mapping and Localization-Aiding of UAVs by Roberto Opromolla, Giancarmine Fasano, Michele Grassi, Al Savvaris, Antonio Moccia

“…This paper presents an original technique for robust detection of line features from range data, which is also the core element of an algorithm conceived for mapping 2D environments. …”
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Detection of a Left Superior Vena Cava during a Pacemaker Implantation in Cotonou by A. Sonou, M. Hounkponou, L. Codjo, P. M. Adjagba, C. Houehanou, H. Dohou, S. Assani, Y. Tchabi, M. Houenassi

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Micropower Impulse Radar: A Novel Technology for Rapid, Real-Time Detection of Pneumothorax by Phillip D. Levy, Tracey Wielinski, Alan Greszler

“…Pneumothorax detection in emergency situations must be rapid and at the point of care. …”
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Usage of Probabilistic and General Regression Neural Network for Early Detection and Prevention of Oral Cancer by Neha Sharma, Hari Om

“…The classification accuracy of PNN/GRNN model is 80% and hence is better for early detection and prevention of the oral cancer.…”
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Specific detection of tartaric acid chiral isomers based on centrosymmetric terahertz metamaterial sensors by Xujun Xu, Zhen Sun, Guocui Liu, Jianjun Liu, Yong Du

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Detection of desirable areas for urban growth through GIS and OWA: the case of Culiacan and Navolato by José Jesús Uriarte Adrián, Wenseslao Plata Rocha, Rosendo Romero Andrade, Gabriela Corrales Barraza, José C. Beltrán González, Ricardo Remond Noa

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PCA mix‐based Hotelling's T2 multivariate control charts for intrusion detection system by Mo Shaohui, Gulanbaier Tuerhong, Mairidan Wushouer, Tuergen Yibulayin

“…Abstract Most of the data, which is in the field of network intrusion detection, have the characteristics of a mixture of high‐dimensional datasets of continuous and categorical variables. …”
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Evaluation of a Deep Learning Model for Automatic Detection of Schizophrenia Using EEG Signals by Swetha Padmavathi Polisetty, Radhamani Ellapparaj, Karthikeyan M P

“…An automated diagnosis system for schizophrenia detection through a deep learning model is suggested in this research. …”
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Adulteration detection in cactus seed oil: Integrating analytical chemistry and machine learning approaches by Said El Harkaoui, Cristina Ortiz Cruz, Aaron Roggenland, Micha Schneider, Sascha Rohn, Stephan Drusch, Bertrand Matthäus

“…This study proposes a machine learning model that integrates analytical measurements, data simulations, and classification techniques to detect adulteration of CO with refined sunflower oil (SO) and determine the detectable limit of adulteration without measuring a huge number of different mixtures. …”
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Large Gliadin Peptides Detected in the Pancreas of NOD and Healthy Mice following Oral Administration by Susanne W. Bruun, Knud Josefsen, Julia T. Tanassi, Aleš Marek, Martin H. F. Pedersen, Ulrik Sidenius, Martin Haupt-Jorgensen, Julie C. Antvorskov, Jesper Larsen, Niels H. Heegaard, Karsten Buschard

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Reliability of Using Retinal Vascular Fractal Dimension as a Biomarker in the Diabetic Retinopathy Detection by Fan Huang, Behdad Dashtbozorg, Jiong Zhang, Erik Bekkers, Samaneh Abbasi-Sureshjani, Tos T. J. M. Berendschot, Bart M. ter Haar Romeny

“…FD has been considered as a potential biomarker for the detection of several diseases like diabetes and hypertension. …”
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SynthSecureNet: An Improved Deep Learning Architecture with Application to Intelligent Violence Detection by Ntandoyenkosi Zungu, Peter Olukanmi, Pitshou Bokoro

“…The latter have been shown to be promising in violence detection. The aim of our architecture is to harness the combined strengths of the two known methods for improved accuracy. …”
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