Zobrazeno 1 - 10
of 67
pro vyhledávání: '"Paawan Sharma"'
Publikováno v:
Green Energy and Intelligent Transportation, Vol 3, Iss 4, Pp 100175- (2024)
Electric vehicles (EVs) have gained prominence in the present energy transition scenario. Widespread adoption of EVs necessitates an accurate State of Charge estimation (SoC) algorithm. Integrating predictive SoC estimations with smart charging strat
Externí odkaz:
https://doaj.org/article/d2c4d0bd843f49299cf4d02e2e676890
Publikováno v:
e-Prime: Advances in Electrical Engineering, Electronics and Energy, Vol 8, Iss , Pp 100596- (2024)
Accurate estimation of state-of-charge (SoC) is significant for monitoring the operation of LiFePO4 batteries. This paper addresses the challenges posed by the nonlinear characteristics of LiFePO4 batteries, which adversely affect the accuracy of SoC
Externí odkaz:
https://doaj.org/article/5974b93d47f547629ee3ffe24fbdab19
Autor:
Praveen Kumar Patel, Anuj Kishor Shukla, Varun Sachan, Paawan Sharma, Sonal Singh, Swapnil Saxena, Ramanpal S Makkad
Publikováno v:
Journal of Pharmacy and Bioallied Sciences, Vol 16, Iss 5, Pp 463-465 (2024)
Aim: Telemedicine has emerged as a potential solution to enhance postoperative follow-up care after dental implant surgery, offering the convenience of remote monitoring and reduced need for in-person visits. Materials and Methods: Participants were
Externí odkaz:
https://doaj.org/article/9fde856e9e454910875b2c0792c79441
Publikováno v:
IEEE Access, Vol 11, Pp 133640-133657 (2023)
Video surveillance improves public safety by preventing and sensing criminal activity, enhancing quick counteractions, and presenting evidence to investigators. This is effectively performed by firing a natural language query containing soft biometri
Externí odkaz:
https://doaj.org/article/05cadde6be33407e89ce1eb8e7a5dd88
Publikováno v:
Journal of Imaging, Vol 8, Iss 5, p 141 (2022)
Research in the medical imaging field using deep learning approaches has become progressively contingent. Scientific findings reveal that supervised deep learning methods’ performance heavily depends on training set size, which expert radiologists
Externí odkaz:
https://doaj.org/article/49984815cb3a4d4b8ed3101fdd685d5c
Publikováno v:
Journal of Engineering Science and Technology Review, Vol 10, Iss 6, Pp 119-128 (2017)
Externí odkaz:
https://doaj.org/article/0dbfc34648cb4d658c9665a8c18ed838
Publikováno v:
Journal of Imaging, Vol 7, Iss 9, p 190 (2021)
Breast cancer is one of the most common death causes amongst women all over the world. Early detection of breast cancer plays a critical role in increasing the survival rate. Various imaging modalities, such as mammography, breast MRI, ultrasound and
Externí odkaz:
https://doaj.org/article/ae2f0a6901b84e43b9af20a3e801ec38
Publikováno v:
Modelling and Simulation in Engineering, Vol 2018 (2018)
An electrical “Grid” is a network that carries electricity from power plants to customer premises. Smart Grid is an assimilation of electrical and communication infrastructure. Smart Grid is characterized by bidirectional flow of electricity and
Externí odkaz:
https://doaj.org/article/0705d879d9fa4663813cf4239814a8f3
Publikováno v:
Engineering Science and Technology, an International Journal, Vol 18, Iss 3, Pp 475-484 (2015)
The environmental and economic merits of converting solar energy into electricity via photovoltaic cells have led to its enormous growth in this sector. Besides material and design parameters, there are many other factors which locally affect Photovo
Externí odkaz:
https://doaj.org/article/4c73dbf1ed874623b64e1da2fe3068f2
Publikováno v:
Current Medical Imaging Formerly Current Medical Imaging Reviews. 19:456-468
Abstract: The accurate assessment or diagnosis of breast cancer depends on image acquisition and image analysis and interpretation. The accurate assessment or diagnosis of breast cancer depends on image acquisition and image analysis and interpretati
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::1468e5facb417c0f65bf47b828b48ed1
https://doi.org/10.2174/1573405618666220621123156
https://doi.org/10.2174/1573405618666220621123156