Zobrazeno 1 - 10
of 523
pro vyhledávání: '"Feature extractor"'
Publikováno v:
IET Image Processing, Vol 18, Iss 14, Pp 4778-4798 (2024)
Abstract This study introduces a novel encoder–decoder framework based on deep neural networks and provides a thorough investigation into the field of automatic picture captioning systems. The suggested model uses a “long short‐term memory” d
Externí odkaz:
https://doaj.org/article/001e687ba77043448ca1cedb1259dc7d
Publikováno v:
Complex & Intelligent Systems, Vol 10, Iss 4, Pp 5703-5720 (2024)
Abstract Fires cause severe damage to the ecological environment and threaten human life and property. Although the traditional convolutional neural network method effectively detects large-area fires, it cannot capture small fires in complex areas t
Externí odkaz:
https://doaj.org/article/f219929822084848b1fd1bb01de2cd7b
Publikováno v:
Informatică economică, Vol 28, Iss 2, Pp 17-34 (2024)
This paper presents two experiments in which, using artificial intelligence (specifically Deep Learning with convolutional neural networks), we were able to predict Alzheimer's disease based on MRI images. In order to have better results and to minim
Externí odkaz:
https://doaj.org/article/8e261ea5eeac43d5b1f75eda26470d8a
Publikováno v:
Journal of Computing and Information Technology, Vol 32, Iss 1, Pp 1-14 (2024)
Load Forecast (LF) is an important task in the planning, control and application of public power systems. Accurate Short Term Load Forecast (STLF) is the premise of safe and economical operation of a power system. In the research of short-term power
Externí odkaz:
https://doaj.org/article/26d952acce7e43078debe07cf2658a24
Publikováno v:
IEEE Access, Vol 12, Pp 82402-82412 (2024)
The growing abundance of electronic control units and peripheral devices loaded and connected to smart connected cars has resulted in a constant stream of cyber-attacks at various levels and dimensions. The CAN-FD bus plays a crucial role in smart co
Externí odkaz:
https://doaj.org/article/69904f5a7019489ca42f2a08ff38cfe9
Publikováno v:
Journal of Big Data, Vol 10, Iss 1, Pp 1-17 (2023)
Abstract Sentiment analysis aims to determine the sentiment orientation of a text piece (sentence or document), but many practical applications require more in-depth analysis, which makes finer-grained sentiment classification the ideal solution. Asp
Externí odkaz:
https://doaj.org/article/3f79b95600c04d69bfc94efc4c63dd50
Publikováno v:
Remote Sensing, Vol 16, Iss 19, p 3728 (2024)
It is usually hard to obtain adequate annotated data for delivering satisfactory scene classification results. Semi-supervised scene classification approaches can transfer the knowledge learned from previously annotated data to remote sensing images
Externí odkaz:
https://doaj.org/article/c965cf9c89eb4219850001d957604a0c
Publikováno v:
Symmetry, Vol 16, Iss 8, p 1015 (2024)
The task of converting facial sketch images to facial images aims to generate reasonable and clear facial images from a given facial sketch image. However, the facial images generated by existing methods are often blurry and suffer from edge overflow
Externí odkaz:
https://doaj.org/article/31132e4d47d64b1aae8a9567a6a7db20
Publikováno v:
BMC Bioinformatics, Vol 24, Iss 1, Pp 1-18 (2023)
Abstract Background GPR151 is a kind of protein belonging to G protein-coupled receptor family that is closely associated with a variety of physiological and pathological processes.The potential use of GPR151 as a therapeutic target for the managemen
Externí odkaz:
https://doaj.org/article/d78e66d8acd640a799aac132944a2b3f
Autor:
Sunitha Patel, Srinath S
Publikováno v:
U.Porto Journal of Engineering, Vol 8, Iss 6, Pp 62-75 (2022)
Vehicle classification is a classic application of automotive image processing that is necessary for a variety of modern vehicle safety and comfort features. While machine learning-based solutions are effective in these fields and are currently emplo
Externí odkaz:
https://doaj.org/article/5a3a11daa22a4d5c9134e935add2f15a