Results 21 to 30 of about 3,120,826 (295)
Intent classification and named entity recognition of medical questions are two key subtasks of the natural language understanding module in the question answering system.
Turdi Tohti +2 more
doaj +1 more source
Long signal change-point detection [PDF]
The detection of change-points in a spatially or time ordered data sequence is an important problem in many fields such as genetics and finance.
Biau, Gérard +2 more
core +5 more sources
Herein, a multiple bulging black phosphorus (BP)-based metasurface is proposed for studying its reflection responses and sensing performances through the finite-difference time-domain simulation method. It is shown that, the reflection dips are caused by
Nengxun Yang +9 more
doaj +1 more source
Use AF-CNN for End-to-End Fiber Vibration Signal Recognition
Traditional optical fiber vibration signal (OFVS) recognition research focuses on signal endpoint detection and feature extraction. These two aspects directly determine the success of OFVS recognition.
Saisai Ruan +5 more
doaj +1 more source
What is the signal in signal detection? [PDF]
This study concerns the nature of the stimulus represented along the decision axis in the yes/no auditory detection task. Two contrasting interpretations, absolute and difference representation of the stimulus, are tested by raising the carrier tone embedded within the background "noise" to the level of the signal, on occasional "catch" trials. Results
Ryder P., Pike R., Dalgleish L.
openaire +3 more sources
Object Detection Based on YOLOv5 and GhostNet for Orchard Pests
Real-time detection and identification of orchard pests is related to the economy of the orchard industry. Using lab picture collections and pictures from web crawling, a dataset of common pests in orchards has been created.
Yitao Zhang +4 more
doaj +1 more source
Non-coherent detection for ultraviolet communications with inter-symbol interference [PDF]
Ultraviolet communication (UVC) serves as a promising supplement to share the responsibility for the overloads in conventional wireless communication systems.
Hu, Wenxiu +5 more
core +1 more source
Investigation into Recognition Technology of Helmet Wearing Based on HBSYOLOX-s
This work proposes a new approach based on YOLOX model enhancement for the helmet-wearing real-time detection task, which is plagued by low detection accuracy, incorrect detection, and missing detection.
Teng Gao, Xianwu Zhang
doaj +1 more source
MS-Net: a novel lightweight and precise model for plant disease identification
The rapid development of image processing technology and the improvement of computing power in recent years have made deep learning one of the main methods for plant disease identification.
Siyu Quan +9 more
doaj +1 more source
Experimental detection using cyclostationary feature detectors for cognitive radios [PDF]
© 2014 IEEE. Signal detection is widely used in many applications. Some examples include Cognitive Radio (CR) and military intelligence. Without guaranteed signal detection, a CR cannot reliably perform its role.
Ammar, M. +4 more
core +2 more sources

