User profiles for Tatireddy Subba Reddy
Dr. Tatireddy Subba ReddyAssociate Professor, BVRIT Narasapur Verified email at bvrit.ac.in Cited by 178 |
[PDF][PDF] Applications of big data in various fields
K Sravanthi, TS Reddy - International Journal of Computer Science …, 2015 - academia.edu
The field of Big Data plays a vital role in various fields. Big data is a term for massive data
sets having large amounts of data, more varied and complex structure with the difficulties of …
sets having large amounts of data, more varied and complex structure with the difficulties of …
Hyperspectral image classification with optimized compressed synergic deep convolution neural network with aquila optimization
The classification technology of hyperspectral images (HSI) consists of many contiguous
spectral bands that are often utilized for a various Earth observation activities, such as …
spectral bands that are often utilized for a various Earth observation activities, such as …
Computing influential nodes using the nearest neighborhood trust value and pagerank in complex networks
Computing influential nodes gets a lot of attention from many researchers for information
spreading in complex networks. It has vast applications, such as viral marketing, social leader …
spreading in complex networks. It has vast applications, such as viral marketing, social leader …
[PDF][PDF] A semi-supervised cycle-GAN neural network for hyperspectral image classification with minimum noise fraction
TS Reddy, J Harikiran - Journal of Spectral Imaging, 2022 - researchgate.net
Hyperspectral imaging (HSI) research is now widely used in various fields, including land
coverage classification, monitoring and quality control, environmental science and industrial …
coverage classification, monitoring and quality control, environmental science and industrial …
[PDF][PDF] SHBO-based U-Net for image segmentation and FSHBO-enabled DBN for classification using hyperspectral image
Hyper spectral imaging (HSI) is an advanced and fascinating remote sensing method in various
domains. Every sample in HS remote sensing images possesses high-size features and …
domains. Every sample in HS remote sensing images possesses high-size features and …
Hyperspectral Image Classification based on Cycle GAN and EfficientNet
TS Reddy, S Anusha, EVV Reddy… - … on Advances in …, 2024 - ieeexplore.ieee.org
Because of the existence of narrow contiguous bands, Hyperspectral Remote Sensing is a
sophisticated remote sensing technique that improves the capacity of precise categorization. …
sophisticated remote sensing technique that improves the capacity of precise categorization. …
SHBO-based U-Net for image segmentation and FSHBO-enabled DBN for classification using hyperspectral image
T Subba Reddy, VV Krishna Reddy… - The Imaging Science …, 2024 - Taylor & Francis
Hyper spectral imaging (HSI) is an advanced and fascinating remote sensing method in various
domains. Every sample in HS remote sensing images possesses high-size features and …
domains. Every sample in HS remote sensing images possesses high-size features and …
An effective Alzheimer's disease segmentation and classification using Deep ResUnet and Efficientnet
Alzheimer’s disease (AD) is a degenerative neurologic condition that results in the deterioration
of several brain processes (eg memory loss). The most notable physical alteration in AD …
of several brain processes (eg memory loss). The most notable physical alteration in AD …
Dermatologist-Level Classification of Skin Cancer Using Cascaded Ensembling of Convolutional Neural Network
P Shashanka, TS Reddy - 2023 International Conference on …, 2023 - ieeexplore.ieee.org
Skin cancer is a typical frequent malignancy that is typically identified visually after an initial
screening, dermoscopic analysis, a biopsy, and histological investigation. Using …
screening, dermoscopic analysis, a biopsy, and histological investigation. Using …
Deep learning-based privacy-preserving recommendations in federated learning
CS Kolli, VV Krishna Reddy, TS Reddy… - … Journal of General …, 2024 - Taylor & Francis
Privacy preservation in recommendations has been increasingly garnering huge interest
from the research community owing to the rapid rise in data security and privacy concerns …
from the research community owing to the rapid rise in data security and privacy concerns …