Fault Detection and Diagnosis for Gas Turbines Based on a Kernelized Information Entropy Model by Weiying Wang, Zhiqiang Xu, Rui Tang, Shuying Li, Wei Wu

Get full text

About probability of error detection of unauthorized impacts on pipeline with active vibroacoustic method of control by A. A. Fedotov, Yu. G. Malinovskiy

Subjects: Get full text

Detection of Fungal Infections in Gloriosa Superba Plant Using the Convolution Neural Network Model by Guillermo Napoleón Pelaez-Diaz, Rosa Vílchez-Vásquez, Antonio Huaman-Osorio, R. Mahaveerakannan, S. Pushpa, Nilesh Shelke, Sumitha Jagadibabu, Jenifer Mahilraj

Get full text

Detection and Genetic Analysis of Porcine Bocavirus in Different Swine Herds in North Central China by Mengmeng Liu, Yi Li, Dong Sun, Yihe Xia, Jinhai Huang, Lili Guo

Get full text

Dual‐fluorescence imaging and automated trophallaxis detection for studying multi‐nutrient regulation in superorganisms by Lior Baltiansky, Einav Sarafian‐Tamam, Efrat Greenwald, Ofer Feinerman

“…Additionally, our image‐based deep learning algorithm for automatic detection of ant trophallaxis events efficiently yields a detailed record of all food‐transfer interactions. …”
Get full text

Validity of Digital Imaging of Fiber-Optic Transillumination in Caries Detection on Proximal Tooth Surfaces by Marja-Liisa Laitala, Liina Piipari, Noora Sämpi, Maria Korhonen, Paula Pesonen, Tiina Joensuu, Vuokko Anttonen

“…The aim of our study was to evaluate the validity of the digital imaging fiber-optic transillumination (DIFOTI) method in comparison with clinical visual examination (CV) and bitewing (BW) radiography on detecting caries lesions on proximal surfaces of teeth. …”
Get full text

Anomaly Usage Behavior Detection Based on Multi-Source Water and Electricity Consumption Information by Wenqing Zhou, Chaoqiang Chen, Qin Yan, Bin Li, Kang Liu, Yingjun Zheng, Hongming Yang, Hui Xiao, Sheng Su

“…Current resident anomaly detection technologies rely on single-source energy data, lacking detailed behavior pattern analysis. …”
Get full text

Detection of Hemoglobinopathies in Cuban Pregnant Women from the Program: Sickle Cell Anemias in Cuba by Yadira Valdés Fraser, Tatiana Acosta Sánchez, Jacqueline Pérez Rodríguez, Beatriz Suárez Besil, Sandra Bárbara Correa Jiménez

“…<strong>Foundation:</strong> prenatal detection of hemoglobinopathies in Cuba is performed on all pregnant women in Pri-mary Health Care, through hemoglobin electrophoresis to identify high-risk couples. …”
Get full text

Enhanced DeepSORT and StrongSORT for Multicattle Tracking With Optimized Detection and Re-Identification by Hyeon-Seok Sim, Hyun-Chong Cho

“…This study focuses on tracking individual cattle using object detection and tracking algorithms. Data were collected noninvasively using cameras, and a tracking-by-detection (TBD) approach was adopted. …”
Get full text

A Robust Approach for Blur and Sharp Regions’ Detection Using Multisequential Deviated Patterns by Awais Khan, Ali Javed, Aun Irtaza, Muhammad Tariq Mahmood

“…Blur detection (BD) is an important and challenging task in digital imaging and computer vision applications. …”
Get full text

Financial Data Anomaly Detection Method Based on Decision Tree and Random Forest Algorithm by Qingyang Zhang

“…However, various current detection systems for abnormal network flows have more or less flaws, such as the most common intrusion detection system (IDS). …”
Get full text

Retracted: Generative Adversarial Networks for Unmanned Aerial Vehicle Object Detection with Fusion Technology by Journal of Advanced Transportation

Get full text

Multifunctional Analysis of CD4+ T-Cell Response as Immune-Based Model for Tuberculosis Detection by Miriam Lichtner, Claudia Mascia, Ilaria Sauzullo, Fabio Mengoni, Serena Vita, Raffaella Marocco, Valeria Belvisi, Gianluca Russo, Vincenzo Vullo, Claudio M. Mastroianni

“…Mono- and multifunctional specific CD4+ and CD8+ T-cell responses were evaluated to improve the immune-based detection of active tuberculosis (TB) and latent infection (LTBI). …”
Get full text

Intrusion Detection Model for Wireless Sensor Networks Based on FedAvg and XGBoost Algorithm by Hongjiao Wu

“…The experimental results show that this algorithm has superior detection performance and low energy consumption. It is also compared with other algorithms to demonstrate the high detection rate and low computational complexity of this algorithm.…”
Get full text

Thermal control for high sensitivity terahertz detection module: Design, simulation and experimental verification by Yantang Hua, Chunlong Liu, Min Zhang, Zhiyong Yang, Richa Hu, Zhenyu Lu, Liang Guo

Subjects: “…The high sensitivity terahertz detection module…”
Get full text

Learning Dendritic-Neuron-Based Motion Detection for RGB Images: A Biomimetic Approach by Tianqi Chen, Yuki Todo, Zhiyu Qiu, Yuxiao Hua, Delai Qiu, Xugang Wang, Zheng Tang

Subjects: Get full text

Phenotypic detection of carbapenem-resistant Enterobacterales in clinical isolates at a tertiary care hospital by Astha Sinha, Mamta Gour, Riti Jain Seth

“…The aim of the study is to detect carbapenem-resistant Enterobacterales (CRE) in different clinical isolates and study carbapenemase production by phenotypic methods in CRE. …”
Get full text

Anomaly Detection Using Explainable Random Forest for the Prediction of Undesirable Events in Oil Wells by Nida Aslam, Irfan Ullah Khan, Aisha Alansari, Marah Alrammah, Atheer Alghwairy, Rahaf Alqahtani, Razan Alqahtani, Maryam Almushikes, Mohammed AL Hashim

“…Accordingly, this study aimed to utilize ML techniques to reduce the time spent manually to establish rules that detect abnormalities in oil wells, leading to rapid and more precise detection. …”
Get full text

Fall Detection Based on Continuous Wave Radar Sensor Using Binarized Neural Networks by Hyeongwon Cho, Soongyu Kang, Yunseong Sim, Seongjoo Lee, Yunho Jung

Subjects: “…fall detection…”
Get full text

Sudden Intrabulbar Amyloid Increase Simultaneously Disrupts Olfactory Bulb Oscillations and Odor Detection by Rebeca Hernández-Soto, Keila Dara Rojas-García, Fernando Peña-Ortega

“…We found a strong relationship between the power of the OB oscillations and the correlation between OBs and the olfactory detection test scores. These findings provide a direct link between Aβ-induced OB network dysfunction and smell loss in rodents, which could be extrapolated to AD patients.…”
Get full text