Results 1 to 10 of about 9,828,805 (358)

Signal detection

e-Journal of Nondestructive Testing
Acoustic emission (AE) occurring in concrete fracture process is a combination of concrete fracture at local material level and the propagation of induced elastic waves at structural level. Simulation of the fracture-induced AE in concrete needs a model that is able to address the fracture behavior and the wave propagation at the same time.
Yubao Zhou, Beyazit Bestami Aydin, Yuguang Yang   +2 more
openaire   +2 more sources

Good Signal Detection Practices: Evidence from IMI PROTECT [PDF]

Drug Safety, 2016
Over a period of 5 years, the Innovative Medicines Initiative PROTECT (Pharmacoepidemiological Research on Outcomes of Therapeutics by a European ConsorTium) project has addressed key research questions relevant to the science of safety signal detection.
A Wisniewski, Andrew Bate, Cédric Bousquet, Andreas Brueckner, Gianmario Candore, Kristina Juhlin, M. Maciá, Katrin Manlik, Naashika Quarcoo, Suzie Seabroke, Jim Slattery, Harry Southworth, Bharat Thakrar, Phil Tregunno, Lionel Van Holle, Michael Kayser, G. Niklas Norén   +16 more
openalex   +2 more sources

A Deep Learning-Based Lightweight Model for the Detection of Marine Fishes

Journal of Marine Science and Engineering, 2023
The species and population size of marine fish are important for maintaining the ecological environment and reflecting climate change. Traditional fish detection methods mainly rely on manual or traditional computer vision, which has disadvantages such ...
Fei Wu, Yitao Zhang, Lang Wang, Qiu Hu, Shengli Fan, Weiming Cai   +5 more
doaj   +1 more source

Chinese Relation Extraction Using Extend Softword

IEEE Access, 2021
In recent years, many scholars have chosen to use word lexicons to incorporate word information into a model based on character input to improve the performance of Chinese relation extraction (RE). For example, Li et al.
Bo Kong, Shengquan Liu, Fuyuan Wei, Liruizhi Jia, Guangyao Wang   +4 more
doaj   +1 more source

Multi-objective model predictive control method for T-type three-level grid-connected [PDF]

E3S Web of Conferences, 2023
Based on the mathematical model of T-type three-level topology, a T-type three-level inverter model is proposed to predict the multi-objective control method, which mainly includes DC neutral voltage (NP-V), switching state, inverter voltage vector, and ...
Pan Ning, Xie Zhen, Mo Jiaqing, Wang Yuanhao   +3 more
doaj   +1 more source

Design and Application of Deep Hash Embedding Algorithm with Fusion Entity Attribute Information

Entropy, 2023
Hash is one of the most widely used methods for computing efficiency and storage efficiency. With the development of deep learning, the deep hash method shows more advantages than traditional methods. This paper proposes a method to convert entities with
Xiaoli Huang, Haibo Chen, Zheng Zhang
doaj   +1 more source

Field Enhancement for the Composite MXene/Black Phosphorus-Based Metasurface

Nanomaterials, 2022
Both MXene and black phosphorus (BP), which actg as hot two-dimensional (2D) materials, have unique optical properties and important applications for nano-micro optical devices.
Yihui Zhou, Lingqiao Li, Zhihui He, Yixuan Wang, Wei Cui, Zhimin Yang, Shaojun Lu, Xiongxiong Wu, Lang Bai   +8 more
doaj   +1 more source

A Review on Rolling Bearing Fault Signal Detection Methods Based on Different Sensors

Italian National Conference on Sensors, 2022
As a precision mechanical component to reduce friction between components, the rolling bearing is widely used in many fields because of its slight friction loss, strong bearing capacity, high precision, low power consumption, and high mechanical ...
Guoguo Wu, Tanyi Yan, Guolai Yang, H. Chai, Chuanchuan Cao   +4 more
semanticscholar   +1 more source

Deep Transfer Learning for Signal Detection in Ambient Backscatter Communications [PDF]

IEEE Transactions on Wireless Communications, 2020
Tag signal detection is one of the key tasks in ambient backscatter communication (AmBC) systems. However, obtaining perfect channel state information (CSI) is challenging and costly, which makes AmBC systems suffer from a high bit error rate (BER).
Chang Liu, Zhiqiang Wei, Derrick Wing Kwan Ng, Jinhong Yuan, Ying-Chang Liang   +4 more
semanticscholar   +1 more source

Edge-Guided Camouflaged Object Detection via Multi-Level Feature Integration

Sensors, 2023
Camouflaged object detection (COD) aims to segment those camouflaged objects that blend perfectly into their surroundings. Due to the low boundary contrast between camouflaged objects and their surroundings, their detection poses a significant challenge.
Kangwei Liu, Tianchi Qiu, Yinfeng Yu, Songlin Li, Xiuhong Li   +4 more
doaj   +1 more source