Zobrazeno 1 - 10
of 2 623
pro vyhledávání: '"recurrent neural network (rnn)"'
Publikováno v:
Complex & Intelligent Systems, Vol 10, Iss 6, Pp 7605-7617 (2024)
Abstract Leveraging deep learning (DL) approaches in genomics data has led to significant advances in cancer prediction. The continuous availability of gene expression datasets over the preceding years has made them one of the most accessible sources
Externí odkaz:
https://doaj.org/article/c658483ef60542a3ae1c3b49acc3191a
Publikováno v:
Egyptian Informatics Journal, Vol 28, Iss , Pp 100582- (2024)
Urban traffic congestion presents a range of vital difficulties requiring precise prediction models in order to facilitate traffic management for Autonomous Vehicles. This work introduces a novel framework that regulates a Long Short-Term Memory (LST
Externí odkaz:
https://doaj.org/article/c9bc6108d3c44cf891b1dad9991a8d90
Publikováno v:
Jurnal Pendidikan Multimedia, Vol 6, Iss 1, Pp 93-102 (2024)
Hanacaraka Javanese script is a valuable Indonesian cultural heritage, but its use has declined due to a lack of knowledge and ability to read and write the script. The main challenge in detecting and recognizing handwritten Javanese script is the va
Externí odkaz:
https://doaj.org/article/3baf24351e5e4a46a55ad48a5db4c364
Autor:
Sajjad Shumaly, Fahimeh Darvish, Xiaomei Li, Oleksandra Kukharenko, Werner Steffen, Yanhui Guo, Hans-Jürgen Butt, Rüdiger Berger
Publikováno v:
Scientific Reports, Vol 14, Iss 1, Pp 1-15 (2024)
Abstract High speed side-view videos of sliding drops enable researchers to investigate drop dynamics and surface properties. However, understanding the physics of sliding requires knowledge of the drop width. A front-view perspective of the drop is
Externí odkaz:
https://doaj.org/article/565d052cd7c5485495a281d593dd69da
Publikováno v:
Journal of Rock Mechanics and Geotechnical Engineering, Vol 16, Iss 5, Pp 1538-1551 (2024)
Tunnel boring machines (TBMs) have been widely utilised in tunnel construction due to their high efficiency and reliability. Accurately predicting TBM performance can improve project time management, cost control, and risk management. This study aims
Externí odkaz:
https://doaj.org/article/38d20553cfba4ad18dbd3973d66145e1
Autor:
Sateesh Amarneni, Dr. R.S. Valarmathi
Publikováno v:
e-Prime: Advances in Electrical Engineering, Electronics and Energy, Vol 9, Iss , Pp 100723- (2024)
According to the World Health Organization, cancer is the second most common cause of death worldwide (WHO). Death from cancer may sometimes be avoided through early diagnosis, although this is not always practicable. A tumour, unlike cancer, may be
Externí odkaz:
https://doaj.org/article/621933059d1d417d95ebebdb78445aca
Publikováno v:
Egyptian Informatics Journal, Vol 27, Iss , Pp 100501- (2024)
The expanding use of Unmanned Aerial Vehicle (UAVs)/drones has been noticeable in recent years. Drones have several uses in a wide range of industries, including the military, delivery, agricultural, and surveillance. This led to a visible increase i
Externí odkaz:
https://doaj.org/article/72433a81fa1648d5935e27389e70da34
Publikováno v:
Intelligent Systems with Applications, Vol 23, Iss , Pp 200406- (2024)
Attention is a very popular and effective mechanism in artificial neural network-based sequence-to-sequence models. In this survey paper, a comprehensive review of the different attention models used in developing automatic speech recognition systems
Externí odkaz:
https://doaj.org/article/30483610e5cc4c519245fd30aa0e9abc
Publikováno v:
Frontiers in Neurorobotics, Vol 18 (2024)
Real-world robotic operations often face uncertainties that can impede accurate control of manipulators. This study proposes a recurrent neural network (RNN) combining kinematic and dynamic models to address this issue. Assuming an unknown mass matri
Externí odkaz:
https://doaj.org/article/2b2ada2e9e2d41e4a703b493f26f4f9c
Autor:
Raveena Selvanarayanan, Surendran Rajendran, Sameer Algburi, Osamah Ibrahim Khalaf, Habib Hamam
Publikováno v:
Scientific Reports, Vol 14, Iss 1, Pp 1-16 (2024)
Abstract Soil health is essential for whirling stale soil into rich coffee-growing land. By keeping healthy soil, coffee producers may improve plant growth, leaf health, buds, cherry and bean quality, and yield. Traditional soil monitoring is tedious
Externí odkaz:
https://doaj.org/article/ada81128a39544dab993346d1f342b2c