The Geometry of Signal Detection with Applications to Radar Signal Processing
Entropy, 2016 The problem of hypothesis testing in the Neyman–Pearson formulation is considered from a geometric viewpoint. In particular, a concise geometric interpretation of deterministic and random signal detection in the philosophy of information geometry is ...
Xiaoqiang Hua +2 more
exaly +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 +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 +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 +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 +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 +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 +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 +4 more
doaj +1 more source
Fast and Robust Infrared Small Target Detection Using Weighted Local Difference Variance Measure
Sensors, 2023 Infrared (IR) small-target-detection performance restricts the development of infrared search and track (IRST) systems. Existing detection methods easily lead to missed detection and false alarms under complex backgrounds and interference, and only focus
Ying Zheng +4 more
doaj +1 more source