Zobrazeno 1 - 10
of 23
pro vyhledávání: '"N. N. Srinidhi"'
Autor:
T. M. Aruna, Piyush Kumar, E. Naresh, G. N. Divyaraj, K. Asha, Arunadevi Thirumalraj, N. N. Srinidhi, Arunkumar Yadav
Publikováno v:
Scientific Reports, Vol 14, Iss 1, Pp 1-13 (2024)
Abstract The transportation infrastructure of the future will be based on autonomous vehicles. When it comes to transportation, both emerging and established nations are keen on perfecting systems based on autonomous vehicles. Transportation authorit
Externí odkaz:
https://doaj.org/article/6492c0fcf2f4443d892b8755afa62628
Publikováno v:
IEEE Access, Vol 12, Pp 98787-98802 (2024)
Level is one of the important parameters to be measured in many of the industrial applications, in which Capacitance Level Sensors (CLS) play an important role in measuring liquid level because of its ruggedness. But CLS is inept at measuring levels
Externí odkaz:
https://doaj.org/article/afaccbfb4cfb4d7488834092b946d8c9
Publikováno v:
IEEE Access, Vol 12, Pp 72034-72050 (2024)
The learning rate is one of the most crucial hyper-parameters to regulate during the training of the Deep Learning (DL) models and optimizers. Adaptive learning rate algorithms try to automate the time-consuming process of manually setting a suitable
Externí odkaz:
https://doaj.org/article/34b9112b0c6342748b2517a61a9ea1b9
Autor:
P. K. Udayaprasad, J. Shreyas, N. N. Srinidhi, S. M. Dilip Kumar, P. Dayananda, S. S. Askar, Mohamed Abouhawwash
Publikováno v:
IEEE Access, Vol 12, Pp 2742-2759 (2024)
Effective research has been aimed at increasing the distributed compute dependent Software Define Network (SDN) with high-level Intelligent - Internet of Things (I-IoT). Wireless sensor networks come with a set of resource restrictions. Still, only a
Externí odkaz:
https://doaj.org/article/8647682b2b2b437991a05b651df57b04
Autor:
G. Ramesh, J. Shreyas, J. Manoj Balaji, Ganesh N. Sharma, H. L. Gururaj, N. N. Srinidhi, S. S. Askar, Mohamed Abouhawwash
Publikováno v:
Frontiers in Neuroscience, Vol 18 (2024)
Handwritten character recognition is one of the classical problems in the field of image classification. Supervised learning techniques using deep learning models are highly effective in their application to handwritten character recognition. However
Externí odkaz:
https://doaj.org/article/2f9b41dbe3024f5c9f2df67aa8dd817a
Publikováno v:
IEEE Access, Vol 11, Pp 106749-106759 (2023)
Over the past few years, deep learning techniques have revolutionized the field of face parsing by utilizing massive datasets to generate high-level features and achieve outstanding performance. Usually, these techniques involve Convolutional Neural
Externí odkaz:
https://doaj.org/article/bb9d28ace5194bf9a79c0fea8c08e935
Autor:
Shreyas J, Chethana Reddy, Dharamendra Chouhan, P. K. Udayaprasad, N. N. Srinidhi, S. M. Dilipkumar
Publikováno v:
Journal of Information Technology Management, Vol 14, Iss 1, Pp 41-64 (2022)
Wireless sensor networks (WSNs) are the sensor nodes that are generally interconnected and these nodes communicate wirelessly to collect the data from the environment around them. Sensor nodes are low-powered and distributed in a decentralized ADHOC
Externí odkaz:
https://doaj.org/article/018e5e6b63324235bf215a4c26b291da
Publikováno v:
Journal of Information Technology Management, Vol 13, Iss Special Issue: Big Data Analytics and Management in Internet of Things, Pp 68-91 (2021)
Opportunistic networks in the Internet of Things (IoT) scenario, also known as OppIoT, espouse IoT devices interactions opportunistically in order to improve connectivity, the lifetime of the network, and network reliability. An increase in opportuni
Externí odkaz:
https://doaj.org/article/6a0659431a3449aca1dae91ddd8a5138
Publikováno v:
Journal of Robotics and Control (JRC). 3:646-655
The Internet of Things (IoT) is the extension of Internet connectivity into physical devices and to everyday objects. Efficient mobility support in IoT provides seamless connectivity to mobile nodes having restrained resources in terms of energy, mem
Publikováno v:
Journal of Reliable Intelligent Environments. 7:325-340
Internet of Things is an increasing technology that has recently seen growth in the field of research. In a 6LoWPAN network, congestion at nodes is caused by huge network traffic, which reduces the overall performance, as well as the quality of routi