Zobrazeno 1 - 10
of 8 989
pro vyhledávání: '"DNN"'
Publikováno v:
Digital Communications and Networks, Vol 10, Iss 4, Pp 827-836 (2024)
Unmanned aerial vehicle (UAV)-enabled edge computing is emerging as a potential enabler for Artificial Intelligence of Things (AIoT) in the forthcoming sixth-generation (6G) communication networks. With the use of flexible UAVs, massive sensing data
Externí odkaz:
https://doaj.org/article/c18a6f68512f45fb825bd53d2cea7c46
Publikováno v:
Scientific Reports, Vol 14, Iss 1, Pp 1-15 (2024)
Abstract Under the support of deep neural networks (DNN), a multifunctional switchable terahertz metamaterial (THz MMs) device is designed and optimized. This device not only achieves ideal ultra-wideband (UWB) absorption in the THz frequency range b
Externí odkaz:
https://doaj.org/article/1f24aa54e30c4fe1b7269e434a65fb44
Autor:
Walaa N. Ismail, Hessah A. Alsalamah
Publikováno v:
Discover Artificial Intelligence, Vol 4, Iss 1, Pp 1-27 (2024)
Abstract Cataracts are common eye disorders characterized by the clouding of the lens, preventing light from passing through and impairing vision. Various factors, including changes in the lens’s hydration or alterations in its proteins, may contri
Externí odkaz:
https://doaj.org/article/fac1b2fc7561407986d11cc740f9318c
Publikováno v:
Guangtongxin yanjiu, Pp 23004701-23004705 (2024)
【Objective】In long-distance optical communication systems, compensating fiber nonlinear impairment through traditional Digital Signal Processing (DSP) is difficult due to intractable interactions between Kerr nonlinearity, chromatic dispersion an
Externí odkaz:
https://doaj.org/article/4760770195664bc08a81239ca819342b
Autor:
Azmi Abiyyu Dzaky, Junta Zeniarja, Catur Supriyanto, Guruh Fajar Shidik, Cinantya Paramita, Egia Rosi Subhiyakto, Sindhu Rakasiwi
Publikováno v:
Journal of Applied Informatics and Computing, Vol 8, Iss 1, Pp 13-21 (2024)
Attention to mental health is increasing in Indonesia, especially with the recent increase in the number of cases of stress and suicide among students. Therefore, this research aims to provide a solution to overcome mental health problems by introduc
Externí odkaz:
https://doaj.org/article/feb83aef78db4a77b85d386e445e4d31
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
Publikováno v:
Scientific Reports, Vol 14, Iss 1, Pp 1-11 (2024)
Abstract Deep neural networks have achieved remarkable success in various fields. However, training an effective deep neural network still poses challenges. This paper aims to propose a method to optimize the training effectiveness of deep neural net
Externí odkaz:
https://doaj.org/article/27379ec273f34f91bafd10c9c2c3d8a7
Autor:
zahraa ali, Safaa O. Al-mamory
Publikováno v:
Iraqi Journal for Computers and Informatics, Vol 50, Iss 1, Pp 34-45 (2024)
Researchers' interests and academic journals are crucial for advancing scientific inquiry. Journals serve as platforms for sharing and validating discoveries, fostering a symbiotic relationship that advances our collective understanding and pushes th
Externí odkaz:
https://doaj.org/article/31e8d2db9c8c470ea1ca69f7986f384b
Publikováno v:
Telecom, Vol 5, Iss 2, Pp 487-507 (2024)
This paper investigates the performance of deep neural network (DNN)-based signal detection in multiple input, multiple output (MIMO), communication systems. MIMO technology plays a critical role in achieving high data rates and improved capacity in
Externí odkaz:
https://doaj.org/article/42929b1ea40345d0873691a604c73182
Publikováno v:
HighTech and Innovation Journal, Vol 5, Iss 2, Pp 259-271 (2024)
Dust pollution can harm the urban environment and the health of citizens. Each stage in highway construction generates unorganized dust emissions to varying degrees, which complicates their quantification. To precisely forecast dust emissions during
Externí odkaz:
https://doaj.org/article/09d0eb5c23e94067922bf57a1385a5d6