Deep learning-based transfer learning for classification of skin cancer
One of the major health concerns for human society is skin cancer. When the pigments
producing skin color turn carcinogenic, this disease gets contracted. A skin cancer diagnosis …
producing skin color turn carcinogenic, this disease gets contracted. A skin cancer diagnosis …
A generalized ensemble approach based on transfer learning for braille character recognition
Braille character recognition (BCR) is a basic step in building and designing any Braille
assistive technology. Each Braille character is represented by a 2× 3 matrix of raised dots …
assistive technology. Each Braille character is represented by a 2× 3 matrix of raised dots …
Exploring Multiple Instance Learning (MIL): A brief survey
Abstract Multiple Instance Learning (MIL) is a learning paradigm, where training instances
are arranged in sets, called bags, and only bag-level labels are available during training …
are arranged in sets, called bags, and only bag-level labels are available during training …
Analysis of diabetic retinopathy detection techniques using CNN models
P Prabhavathy, BK Tripathy, M Venkatesan - Augmented intelligence in …, 2022 - Springer
Diabetic Retinopathy (DR) is an eye disease and is caused by changes in retinal blood
vessels. It is common in diabetes patients. Severity level of DR classified based on changes …
vessels. It is common in diabetes patients. Severity level of DR classified based on changes …
Mushroom-YOLO: A deep learning algorithm for mushroom growth recognition based on improved YOLOv5 in agriculture 4.0
In agriculture 4.0, internet of things is pushing the boundary of smart agricultural applications
to assist farmers from production to sale of crops. Mushroom is one of the most economically …
to assist farmers from production to sale of crops. Mushroom is one of the most economically …
A validation study of a deep learning-based doping drug text recognition system to ensure safe drug use among athletes
This study aimed to develop an English version of a doping drug-recognition system using
deep learning-based optical character recognition (OCR) technology. A database of 336 …
deep learning-based optical character recognition (OCR) technology. A database of 336 …
COVID-19 detection using deep learning: A comparative study of segmentation algorithms
P Sihare, A Ullah Khan, P Bardhan… - … Intelligence in Pattern …, 2022 - Springer
Lung abnormality is a prevalent condition that affects people of all ages, and it can be
caused by a variety of factors. The lung illness caused by SARS-CoV-2 has recently spread …
caused by a variety of factors. The lung illness caused by SARS-CoV-2 has recently spread …
Automated medical report generation on chest x-ray: Images using co-attention mechanism
BK Tripathy, RSR Sai, KS Banu - Hybrid computational …, 2023 - api.taylorfrancis.com
Every problem is decomposed into several sub-problems by human beings, and further
subdivisions are carried out. Deep neural networks (DNNs)[5] are modeled as a …
subdivisions are carried out. Deep neural networks (DNNs)[5] are modeled as a …
Meta-DPSTL: meta learning-based differentially private self-taught learning
Self-taught learning models are successfully applied to improve the target model's
performance in different low-resource environments. In this setting, features are learned …
performance in different low-resource environments. In this setting, features are learned …
Smart Garbage Classification
A Jain, V Khetriwal, H Daga, BK Tripathy - International Conference on …, 2022 - Springer
Garbage recycling is a key aspect of maintaining our environment in good condition. Poor
waste management has the potential to have a significant negative effect on the …
waste management has the potential to have a significant negative effect on the …