Thorium in Kilonova Spectra: Exploring the Heaviest Detectable Element by Nanae Domoto, Shinya Wanajo, Masaomi Tanaka, Daiji Kato, Kenta Hotokezaka

“…Our models demonstrate that the Th feature may be detectable if the bulk of the ejecta in the line-forming region is dominated by relatively light r -process elements with the mixture of a small fraction of very neutron-rich material. …”
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STDweb: simple transient detection pipeline for the web by Sergey Karpov

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Data Analysis Process Design of High-speed Maglev Dynamic Track Detection System by Junyuan TANG, Jun WU, Honglu LI

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Detection of Chatter in Machining Processes by the Multiscale Maximum Approximate Entropy and Continuous Wavelet Transform by Daniel Pérez-Canales, Juan Carlos Jáuregui-Correa, José Álvarez-Ramírez, Luciano Vela-Martínez

“…In this study, we propose an improved AE methodology, the multiscale maximum approximate entropy (MMAE), to detect chatter in milling processes. The maximum AE is achieved by the calculation of the parameter r proposed by Sheng and Chon. …”
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Research on high-resolution processing of frequency modulation combined signal for active sonar detection by Yaojun Jia, Pingbo Wang, Hongkai Wei, Qiang Chen, Yunhua Hu

“…Firstly, the ROC curve analysis shows that the detection performance of PAMP is significantly improved compared with PM and PP, and is close to the optimal detector. …”
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Damage Detection in Machining Tools Using Acoustic Emission, Signal Processing, and Feature Extraction by Lucas Pires Bernardes, Pedro Oliveira Conceição Júnior, Fabio Romano Lofrano Dotto, Alessandro Roger Rodrigues, Marcio Marques Silva

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Abnormal Power Fluctuation Detection of Wind Turbines Based on Subband Processing and Correlation Coefficient by CHEN Gang, HU Kaikai, CHEN Yanan, ZHANG Jiayou, XIONG Wenhao

“…Wind turbine power signals are nonlinear and non-stationary signals, and their abnormal fluctuation Frequencies are uncertain, which makes it difficult to extract and detect abnormal power fluctuation features. This paper proposes a method for detecting abnormal power fluctuations of wind turbine based on subband processing and correlation coefficient. …”
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AI-Based Architecture and Distributed Processing for the Detection and Mitigation of Spoofing Attacks in IoT Networks by William Villegas, Iván Ortiz-Garcés, Jaime Govea

“…The proposed approach integrates Convolutional Neural Networks with a distributed processing architecture based on Edge nodes, enabling real-time anomaly detection while reducing computational overhead on central servers. …”
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Adaptive Fault Detection for Complex Dynamic Processes Based on JIT Updated Data Set by Jinna Li, Yuan Li, Haibin Yu, Yanhong Xie, Cheng Zhang

“…A novel fault detection technique is proposed to explicitly account for the nonlinear, dynamic, and multimodal problems existed in the practical and complex dynamic processes. …”
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Automatic detection and classification process for concrete defects in deteriorating buildings based on image data by Suhyun Kang, Seungho Kim, Sangyong Kim

“…A CNN model is developed to detect defects in images of aging buildings, and the proposed process is validated through a case study to demonstrate its effectiveness. …”
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Fraud Detection in Credit Card Transactions; Using Parallel Processing of Anomalies in Big Data by Mohammad Reza Taghva, Taha Mansouri, Kamran Feizi, Babak Akhgar

“…The present study with Map Reduce approach and parallel processing, applied the Kohonen neural network model to detect abnormalities in bank card transactions. …”
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Detection of the Pigment Distribution of Stacked Matcha During Processing Based on Hyperspectral Imaging Technology by Qinghai He, Zhiyuan Liu, Xiaoli Li, Yong He, Zhi Lin

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Thermographic Data Processing and Feature Extraction Approaches for Machine Learning-Based Defect Detection by Alexey Moskovchenko, Michal Svantner

“…Infrared thermography is a non-destructive testing method used to detect defects in materials and structures. Machine learning algorithms have been applied to thermographic data to automate the defect detection process. …”
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Health Detection System for Sports Dancers during Training Based on an Image Processing Technology by Lu Zhang

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Design of Ultrasonic Flaw Detection Data Processing System Based on LabVIEW and FPGA by TAN Qunlin, ZHANG Dongfang, XIA Lang, HU Liang, ZHONG Sheng

“…In order to meet the application requirements of multichannel, high bandwidth and high throughput, and use LabVIEW to develop customized FPGA board to reduce cost and increase efficiency, this paper presents a design of ultrasonic flaw detection data processing system which use FPGA to build the system hardware architecture and use LabVIEW to build the underlying software architecture. …”
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Detection of Drowsiness in Drivers Using Image Processing and Support Vector Machine (SVM) Classification by Sugeng, Hendri Praminiarto

“…Physical signs of drowsiness include a lethargic facial expression, frequent eye blinking, continuous yawning, or nodding off. A detection system utilizing image processing and machine learning can observe these signs by detecting facial landmarks and analyzing activities such as eye blinking, yawning, and head tilt. …”
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Real-Time Detection and Process Status Integration System for High-Pressure Gas Leakage by Nian-Ze Hu, Hao-Lun Huang, Chun-Min Tsai, Yen-Yu Wu, You-Xin Lin, Chih-Chen Lin, Po-Han Lu

“…This system effectively detected gas leakage and transmitted and analyzed the data, significantly improving the operational efficiency of the gas cylinder filling process.…”
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Automated detection and identification of white-backed planthoppers in paddy fields using image processing by Qing YAO, Guo-te CHEN, Zheng WANG, Chao ZHANG, Bao-jun YANG, Jian TANG

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A Systematic Review of Natural Language Processing Techniques for Early Detection of Cognitive Impairment by Ravi Shankar, PhD, Anjali Bundele, MPH, Amartya Mukhopadhyay, FRCP

“…Objective: To systematically evaluate the effectiveness and methodologic approaches of natural language processing (NLP) techniques for early detection of cognitive decline through speech and language analysis. …”
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Machine Learning-based for Automatic Detection of Corn-Plant Diseases Using Image Processing by Geofrey Prudence Baitu, Y. Benal Öztekin, Omsalma Alsadig Adam Gadalla, Khaled Adil Dawood Idress

“…This study aimed to use traditional machine learning techniques to detect maize diseases using image processing techniques. …”
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