Zobrazeno 1 - 10
of 155
pro vyhledávání: '"Siddappaji"'
Autor:
S. Prathibha, Siddappaji
Publikováno v:
Global Transitions, Vol 6, Iss , Pp 93-112 (2024)
The incidence of diabetic retinopathy globally calls for advanced and more universally applicable computer-aided diagnosis (CAD) systems. This survey paper explores the current state of vision-based CAD techniques for the detection and classification
Externí odkaz:
https://doaj.org/article/29b431cc974c4b1c87d6a8021b60f2b1
Autor:
Sharma, Aayush Kumar, Bhavikatti, Vineet, Nidawani, Amogh, Siddappaji, P, Sanath, Mishra, Dr Geetishree
In this research paper, we delve into the topics of Speech Diarization and Automatic Speech Recognition (ASR). Speech diarization involves the separation of individual speakers within an audio stream. By employing the ASR transcript, the diarization
Externí odkaz:
http://arxiv.org/abs/2307.05637
Autor:
Kiran Kumar Siddappaji, Shubha Gopal
Publikováno v:
AIMS Neuroscience, Vol 8, Iss 3, Pp 357-389 (2021)
Alzheimer's disease (AD) is one of the most common, severe neurodegenerative brain disorder characterized by the accumulation of amyloid-beta plaques, neurofibrillary tangles in the brain causing neural disintegration, synaptic dysfunction, and neuro
Externí odkaz:
https://doaj.org/article/eacf62a496a64e388ba375312a70dece
Autor:
Kiran Siddappaji, Mark G. Turner
Publikováno v:
Aerospace, Vol 9, Iss 9, p 489 (2022)
Designing blades for efficient energy transfer by turning the flow and angular momentum change is both an art and iterative multidisciplinary engineering process. A robust parametric design tool with few inputs to create 3D blades for turbomachinery
Externí odkaz:
https://doaj.org/article/085f83e058c548a6a96dd87223fb14ab
Autor:
Kiran Siddappaji, Mark Turner
Publikováno v:
Fluids, Vol 7, Iss 5, p 177 (2022)
Propellers for electric aviation are used in solo- and multirotor applications. Multifidelity analysis with reduced cycle time is crucial to explore several designs for energy minimization and range maximization. A low-fidelity design tool, py_BEM, i
Externí odkaz:
https://doaj.org/article/0893d1630cfc49498c4b76513a5b68ca
Autor:
Kiran Siddappaji, Mark Turner
Publikováno v:
Energies, Vol 15, Iss 11, p 3935 (2022)
Several physics-based enhancements are embedded in a low-fidelity general unducted rotor design analysis tool developed, py_BEM, including the local Reynolds number effect, rotational corrections to airfoil polar, stall delay model, high induction fa
Externí odkaz:
https://doaj.org/article/36ca73ddbc474d77bc94d82bff70d8a6
Autor:
Siddappaji, Kiran1 (AUTHOR) kiransiddappaji@gmail.com, Turner, Mark1 (AUTHOR)
Publikováno v:
Energies (19961073). Jun2022, Vol. 15 Issue 11, p3935-3935. 44p.
Publikováno v:
Aerospace, Vol 8, Iss 11, p 352 (2021)
A majority of the eddy viscosity models for supersonic turbulent flow are based on linear relationship between Reynolds stresses and mean strain rate. The validity of these models can be improved by introducing non-linearity in relation as RANS model
Externí odkaz:
https://doaj.org/article/179718c727fe479798c7e6d1d14ba1e0
Autor:
Siddappaji, Kiran Kumar1, Gopal, Shubha1 sg@microbiology.uni-mysore.ac.in
Publikováno v:
AIMS Neuroscience. 2021, Vol. 8 Issue 3, p357-389. 33p.