Zobrazeno 1 - 10
of 34
pro vyhledávání: '"Sivaraman Eswaran"'
Publikováno v:
Plant Methods, Vol 20, Iss 1, Pp 1-14 (2024)
Abstract This study explores the application of Artificial Intelligence (AI), specifically Convolutional Neural Networks (CNNs), for detecting rice plant diseases using ARM Cortex-M microprocessors. Given the significant role of rice as a staple food
Externí odkaz:
https://doaj.org/article/372dac8e263b43b1bcd6339e4cc7c2cd
Publikováno v:
IEEE Access, Vol 12, Pp 148267-148280 (2024)
The increasing need for efficient and sustainable agriculture has driven the adoption of advanced technologies like Artificial Intelligence (AI) in crop management. This study evaluates the feasibility of deploying AI models on ARM-M microcontrollers
Externí odkaz:
https://doaj.org/article/dfca012536294603a38535656dac0913
Autor:
Ramesh Munirathinam, M. Tamilnidhi, Rajasekaran Thangaraj, Sivaraman Eswaran, Gokul Chandrasekaran, Neelam Sanjeev Kumar
Publikováno v:
Electronics Letters, Vol 60, Iss 1, Pp n/a-n/a (2024)
Abstract In this work, the classification of laryngeal cancer is attempted using deeply learned features obtained using Inception V3, Squeezenet, and VGG‐16 embedders in the Orange toolbox. Machine learning algorithms such as KNN, SVM, random fores
Externí odkaz:
https://doaj.org/article/a3a4acd79fc44df4a2250ec237a5f6b8
Publikováno v:
Healthcare Analytics, Vol 4, Iss , Pp 100278- (2023)
COVID-19 is a virus that can cause severe pneumonia, and the severity varies based on the patient's immune system. The rapid spread of the disease can be mitigated through automated detection, addressing the shortage of radiologists in medicine. This
Externí odkaz:
https://doaj.org/article/788806f89b5448a2bf20e4eab28b6c37
Publikováno v:
Heliyon, Vol 8, Iss 10, Pp e11209- (2022)
Covid-19 has posed a serious threat to the existence of the human race. Early detection of the virus is vital to effectively containing the virus and treating the patients. Profound testing methods such as the Real-time reverse transcription-polymera
Externí odkaz:
https://doaj.org/article/c6c1b8f9b9f54031bfa04f25d6248a1a
Publikováno v:
IET Networks, Vol 9, Iss 5, Pp 215-222 (2020)
Virtual machine placement in cloud computing is to allocate the virtual machines (VMs) (user request) to suitable physical machines (PMs) so that the wastage of resources is reduced. Allocation of appropriate VMs to suitable and effective PMs will le
Externí odkaz:
https://doaj.org/article/713eb92c745b44d0a8d1b7e4f503f85e
Autor:
Sivaraman Eswaran, Prasad Honnavalli
Publikováno v:
Telecommunication Systems. 82:3-26
Today's modern enterprises are adjusting to new realities of connectivity. As companies become more distributed and autonomous, emerging applications demand more bandwidth, low latency, more spectrum, and higher reliability. 5G technology can aid man
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::043ebd936ba58828374badfb38f30430
https://doi.org/10.1007/s11235-022-00978-z
https://doi.org/10.1007/s11235-022-00978-z
Autor:
Sivaraman Eswaran
Publikováno v:
Journal of Ubiquitous Computing and Communication Technologies. 4:170-180
This overview of study intends to provide a thorough taxonomy of sustainable cloud computing capacity planning strategies. Several academic and industrial organizations have suggested several approaches to sustainability, and this taxonomy is used to
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::d86ebae4b8155fa8b2b6e8d0d9e38eae
https://doi.org/10.36548/jucct.2022.3.005
https://doi.org/10.36548/jucct.2022.3.005
Autor:
Sivaraman Eswaran
Publikováno v:
IRO Journal on Sustainable Wireless Systems. 4:102-109
Wireless communication is a process of transferring information from one place to another place through radio waves. The transfer of information can be either an image or numerical data or voice or video. The design of wireless modules were started t
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::150f48e0e3a808080b3072d85c736c08
https://doi.org/10.36548/jsws.2022.2.004
https://doi.org/10.36548/jsws.2022.2.004
Publikováno v:
Procedia Computer Science. 215:834-845
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::7af1197211de94f0480659e5c6146ea7
https://doi.org/10.1016/j.procs.2022.12.086
https://doi.org/10.1016/j.procs.2022.12.086