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
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
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
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
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
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
Fish Target Detection in Underwater Blurred Scenes Based on Improved YOLOv5
IEEE Access, 2023 In recent years, human beings have paid more and more attention to the exploration of the underwater world. As an important part of underwater resources, fish can be detected by using the fish image data collected by underwater imaging systems, which can
Fei Wu +5 more
doaj +1 more source
SIGNAL PROBABILITY, REINFORCEMENT AND SIGNAL DETECTION [PDF]
Journal of the Experimental Analysis of Behavior, 1979 Five pigeons were trained to detect differences in light intensity. Two stimuli, S1 and S2, differing in intensity, were arranged on the center key of a three‐key chamber according to set probabilities. A peck on the center key turned on the two side keys.
D, McCarthy, M, Davison
openaire +2 more sources
Optical Fiber Vibration Signal Identification Method Based on Improved YOLOv4
Sensors, 2022 In the traditional peripheral-security-early-warning system, the endpoint detection and pattern recognition of the signals generated by the distributed optical fiber vibration sensors is completed step-by-step and in an orderly manner.
Jiangwei Zhang +4 more
doaj +1 more source