Results 31 to 40 of about 3,742,547 (295)

Deep learning anomaly detection in AI-powered intelligent power distribution systems

Frontiers in Energy Research
Introduction: Intelligent power distribution systems are vital in the modern power industry, tasked with managing power distribution efficiently. These systems, however, encounter challenges in anomaly detection, hampered by the complexity of data and ...
Jing Duan
doaj   +1 more source

Detection of Abnormal Events via Optical Flow Feature Analysis

Sensors, 2015
In this paper, a novel algorithm is proposed to detect abnormal events in video streams. The algorithm is based on the histogram of the optical flow orientation descriptor and the classification method.
Tian Wang, Hichem Snoussi
doaj   +1 more source

Correlation-Based Method for Tracing Multi-dimensional Time Series Data Anomalies

Jisuanji kexue yu tansuo, 2021
This paper proposes a multi-dimensional time series anomaly data detection method based on correlation analysis, to trace the cause of anomaly detection: system failure data and sensor quality problem data are classified, and then real system failures ...
WANG Muxian, DING Xiaoou, WANG Hongzhi+, LI Jianzhong
doaj   +1 more source

Early Body Mass Index z‐Score Change and Resolution of Severe Malnutrition in Children With Sickle Cell Anemia in a Low‐Income Setting: A Prospective Single‐Arm Extension Study

Pediatric Blood &Cancer, EarlyView.
ABSTRACT Background Children with sickle cell anemia (SCA) in low‐income settings are at risk of severe malnutrition, but optimal nutritional management has not been established. We evaluated an intensified ready‐to‐use therapeutic food (RUTF) regimen in children with persistent severe malnutrition after initial treatment and assessed whether early ...
Safiya Gambo, Shehu Umar Abdullahi, Hassan Adam Murtala, Halima Kabir, Khadija A. Shamsu, Sari A. Acra, Virginia A. Stallings, Mark Rodeghier, Michael R. DeBaun, Lauren J. Klein   +9 more
wiley   +1 more source

Disentangling the Influential Factors Driving NPP Decrease in Shandong Province: An Analysis from Time Series Evaluation Using MODIS and CASA Model

Remote Sensing
Net Primary Productivity (NPP) is a critical metric for assessing terrestrial carbon sequestration and ecosystem health. While advancements in NPP modeling have enabled estimation at various scales, hidden anomalies within NPP time series necessitate ...
Guangyu Lv, Xuan Li, Lei Fang, Yanbo Peng, Chuanxing Zhang, Jianyu Yao, Shilong Ren, Jinyue Chen, Jilin Men, Qingzhu Zhang, Guoqiang Wang, Qiao Wang   +11 more
doaj   +1 more source

Deep representation for abnormal event detection in crowded scenes

, 2016
Abnormal event detection is extremely important, especially for video surveillance. Nowadays, many detectors have been proposed based on hand-crafted features. However, it remains challenging to effectively distinguish abnormal events from normal ones.
Lu, Xiaoqiang, Yuan Yuan, Xiaoqiang Lu, Yuan, Yuan, Yachuang Feng, Feng, Yachuang   +5 more
core   +1 more source

Impact of Radiation Therapy on Physical and Psychosocial Health of Adolescents and Young Adults: A Joint Report From the Children's Oncology Group AYA and Radiation Oncology Committees

Pediatric Blood &Cancer, EarlyView.
ABSTRACT Rates of cancer among adolescents and young adults (AYA), age 15–39 years, are increasing. Consequently, radiation oncologists are treating more AYAs who have diagnoses spanning both pediatric and adult practices. Compared to pediatric and older adult patients, AYAs face a unique set of challenges.
Hesham Elhalawani, Rachel K. Peterson, Avani D. Rao, Laurie J. McKenzie, Ahmed Magdy Elmotayam, Leslie Chang, Michael Roth, Susan L. McGovern   +7 more
wiley   +1 more source

Effects of Road Surface Excitation on Eccentricity in In-Wheel PMSMs and a Torque-Ripple Current Index for Fault Detection

Vehicles
This study investigates the influence of road-induced vertical excitation on air-gap eccentricity in in-wheel permanent magnet synchronous motors. A coupled electromechanical simulation framework is developed by integrating a field-oriented controlled ...
Quoc Trieu Nguyen, Van Nghia Le, Anh Duc Nguyen, Van Hieu Nguyen, Valentin Ivanov   +4 more
doaj   +1 more source

Interval model of a wind turbine power curve

Frontiers in Energy Research, 2023
The wind turbine power curve model is critical to a wind turbine’s power prediction and performance analysis. However, abnormal data in the training set decrease the prediction accuracy of trained models.
Kai Zhou, Hao Han, Junfen Li, Yongjie Wang, Wei Tang, Fei Han, Yulei Li, Ruyu Bi, Haitao Zhao, Lingxiao Jiao   +9 more
doaj   +1 more source

Biphasic Clinical Course of Pediatric Cytomegalovirus‐Associated Immune Thrombocytopenia: Early Poor Treatment Response but Favorable Long‐Term Outcomes

Pediatric Blood &Cancer, EarlyView.
ABSTRACT Background Cytomegalovirus (CMV) is a recognized trigger of immune thrombocytopenia (ITP); however, its incidence and impact on disease course in children remain controversial. Therefore, we aimed to characterize the clinical course of pediatric patients with CMV‐associated ITP.
Oded Gilad, Ohad Atia, Osama Tanous, Dafna Brik Simon, Michal Dvori, Miriam Cohen, Tracie A. Goldberg, Efraim Bilavsky, Joanne Yacobovich, Orna Steinberg‐Shemer   +9 more
wiley   +1 more source