Zobrazeno 1 - 10
of 3 144
pro vyhledávání: '"deep neural network (dnn)"'
Publikováno v:
Scientific Reports, Vol 14, Iss 1, Pp 1-23 (2024)
Abstract Landslides are frequent all over the world, posing serious threats to human life, infrastructure, and economic operations, making them chronic disasters. This study proposes a novel landslide detection methodology that is automated and based
Externí odkaz:
https://doaj.org/article/1e35eb781dbb4ed680915e9bf798e76e
Autor:
Rahul Agrawal, Chetan Dhule, Garima Shukla, Sofia Singh, Urvashi Agrawal, Najah Alsubaie, Mohammed S. Alqahtani, Mohamed Abbas, Ben Othman Soufiene
Publikováno v:
Scientific Reports, Vol 14, Iss 1, Pp 1-18 (2024)
Abstract Biological communication system for neurological disorder patients is similar to the Brain Computer Interface in a way that it facilitates the connection to the outside world in real time. The interdisciplinary field of Electroencephalogram
Externí odkaz:
https://doaj.org/article/ba5eef2aafd64317ae3e585c9a13d394
Publikováno v:
Journal of Informatics and Web Engineering, Vol 3, Iss 3, Pp 41-62 (2024)
This research work develops a new framework that combines patient feedback with evidence-based best practices across disease states to improve drug recommendations. It employs BERT as its free-text processing engine to deal with sentiment judgment an
Externí odkaz:
https://doaj.org/article/de3943b66bfd44ba86015d200ee87f64
Publikováno v:
Digital Communications and Networks, Vol 10, Iss 5, Pp 1375-1386 (2024)
Signal detection plays an essential role in massive Multiple-Input Multiple-Output (MIMO) systems. However, existing detection methods have not yet made a good tradeoff between Bit Error Rate (BER) and computational complexity, resulting in slow conv
Externí odkaz:
https://doaj.org/article/ef01ba22de234f18be68df5c33412f83
Publikováno v:
EURASIP Journal on Image and Video Processing, Vol 2024, Iss 1, Pp 1-23 (2024)
Abstract Video Coding for Machines (VCM) is gaining momentum in applications like autonomous driving, industry manufacturing, and surveillance, where the robustness of machine learning algorithms against coding artifacts is one of the key success fac
Externí odkaz:
https://doaj.org/article/56247cf086994635a26371fa90a1ad1e
Publikováno v:
EURASIP Journal on Audio, Speech, and Music Processing, Vol 2024, Iss 1, Pp 1-19 (2024)
Abstract This paper presents the crossing scheme (X-scheme) for improving the performance of deep neural network (DNN)-based music source separation (MSS) with almost no increasing calculation cost. It consists of three components: (i) multi-domain l
Externí odkaz:
https://doaj.org/article/4cb69dcbfae44923b88de1070dc8e3a1
Autor:
Ha-Eun Yang, Nam-Wook Kim, Hong-Gu Lee, Min-Jee Kim, Wan-Gyu Sang, Changju Yang, Changyeun Mo
Publikováno v:
Frontiers in Plant Science, Vol 15 (2024)
Rice is a staple crop in Asia, with more than 400 million tons consumed annually worldwide. The protein content of rice is a major determinant of its unique structural, physical, and nutritional properties. Chemical analysis, a traditional method for
Externí odkaz:
https://doaj.org/article/b49f6aa0a03f45dcbce0fe21133d6e28
Publikováno v:
Heliyon, Vol 10, Iss 14, Pp e34593- (2024)
This paper introduces a mobile cloud-based predictive model for assisting Parkinson's disease (PD) patients. PD, a chronic neurodegenerative disorder, impairs motor functions and daily tasks due to the degeneration of dopamine-producing neurons in th
Externí odkaz:
https://doaj.org/article/ba8cf2f97d754e038341284ed24d261d
Autor:
Ammar Fahem Majeed, Rashidah Arsat, Muhammad Ariff Baharudin, Nurul Mu'Azzah Abdul Latiff, Abbas Albaidhani
Publikováno v:
IEEE Access, Vol 12, Pp 179431-179448 (2024)
The accurate distinction between line-of-sight (LOS) and non-line-of-sight (NLOS) propagation channels is paramount for precise distance measurement within ultra-wideband (UWB) indoor localization systems. In complex and dynamic environments, such as
Externí odkaz:
https://doaj.org/article/5fffb83ff3d44c47a54ebb170d0aece1
Autor:
Pawel Nadachowski, Zbigniew Lubniewski, Aleksandra Malecha-Lysakowska, Karolina Trzcinska, Radoslaw Wroblewski, Jaroslaw Tegowski
Publikováno v:
IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, Vol 17, Pp 18549-18565 (2024)
The rise of artificial neural networks (ANNs) has revolutionized various fields of research, demonstrating their effectiveness in solving complex problems. However, there are still unexplored areas where the application of neural networks, particular
Externí odkaz:
https://doaj.org/article/1e1ee2c600184bf5874a5486bc8e9a6c