Zobrazeno 1 - 10
of 94
pro vyhledávání: '"Vidya Manian"'
Autor:
Harshini Gangapuram, Vidya Manian
Publikováno v:
Signals, Vol 5, Iss 2, Pp 296-325 (2024)
Analyzing brain activity during mental arithmetic tasks provides insight into psychological disorders such as ADHD, dyscalculia, and autism. While most research is conducted on the static functional connectivity of the brain while performing a cognit
Externí odkaz:
https://doaj.org/article/78a54da6f931447babbbad1379aec708
Autor:
Chhaya Katiyar, Vidya Manian
Publikováno v:
IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, Vol 17, Pp 19146-19159 (2024)
Hyperspectral image (HSI) change detection focuses on identifying differences in multitemporal HSIs. Graph convolutional networks (GCNs) have demonstrated greater promise than convolutional neural networks (CNNs) in remote sensing, particularly for p
Externí odkaz:
https://doaj.org/article/0b7bb17aae8a4cbaada19b284910cf02
Autor:
Harshini Gangapuram, Vidya Manian
Publikováno v:
Signals, Vol 4, Iss 1, Pp 235-250 (2023)
Multiclass motor imagery classification is essential for brain–computer interface systems such as prosthetic arms. The compressive sensing of EEG helps classify brain signals in real-time, which is necessary for a BCI system. However, compressive s
Externí odkaz:
https://doaj.org/article/4087853f32a349b1954ad5322b3eeff3
Autor:
Axi Aguilera, Vidya Manian
Publikováno v:
Sensors, Vol 24, Iss 10, p 3208 (2024)
Transient Luminous Events (TLEs) are short-lived, upper-atmospheric optical phenomena associated with thunderstorms. Their rapid and random occurrence makes manual classification laborious and time-consuming. This study presents an effective approach
Externí odkaz:
https://doaj.org/article/767b533a2ee54073acf9cf25501b46ea
Publikováno v:
Frontiers in Earth Science, Vol 11 (2023)
Harmful algal blooms have dangerous repercussions for biodiversity, the ecosystem, and public health. Automatic identification based on remote sensing hyperspectral image analysis provides a valuable mechanism for extracting the spectral signatures o
Externí odkaz:
https://doaj.org/article/138de5a7dcd54d09835b5f03558d6bf9
Autor:
Carlos J. Delgado, Estefanía Alfaro-Mejía, Vidya Manian, Efrain O’Neill-Carrillo, Fabio Andrade
Publikováno v:
Energies, Vol 17, Iss 3, p 668 (2024)
Photovoltaic (PV) power generation forecasting is an important research topic, aiming to mitigate variability caused by weather conditions and improve power generation planning. Climate factors, including solar irradiance, temperature, and cloud cove
Externí odkaz:
https://doaj.org/article/8b9bc39a2c9b4644bfb368b510c54e54
Autor:
Jaime Yeckle, Vidya Manian
Publikováno v:
Sensors, Vol 23, Iss 21, p 8942 (2023)
Sleep is an essential human physiological need that has garnered increasing scientific attention due to the burgeoning prevalence of sleep-related disorders and their impact on public health. Among contemporary challenges, the demand for authentic sl
Externí odkaz:
https://doaj.org/article/e450f9addfde403f96abfa99294c334c
Publikováno v:
Information, Vol 14, Iss 9, p 473 (2023)
Mild Cognitive Impairment (MCI) and Alzheimer’s Disease (AD) are frequently associated with working memory (WM) dysfunction, which is also observed in various neural psychiatric disorders, including depression, schizophrenia, and ADHD. Early detect
Externí odkaz:
https://doaj.org/article/8b6aa4d8fe13413da59b1a4f6badf77f
Publikováno v:
Sensors, Vol 23, Iss 9, p 4370 (2023)
A framework combining two powerful tools of hyperspectral imaging and deep learning for the processing and classification of hyperspectral images (HSI) of rice seeds is presented. A seed-based approach that trains a three-dimensional convolutional ne
Externí odkaz:
https://doaj.org/article/9b3972dd2f4c4d3792ca1302fd626f65
Publikováno v:
Sensors, Vol 23, Iss 7, p 3515 (2023)
Graph convolutional neural network architectures combine feature extraction and convolutional layers for hyperspectral image classification. An adaptive neighborhood aggregation method based on statistical variance integrating the spatial information
Externí odkaz:
https://doaj.org/article/0d84f4573a9f40f79e5ad7f3938955fe