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Toward AI-Assisted Sickle Cell Screening: A Controlled Comparison of CNN, Transformer, and Hybrid Architectures Using Public Blood-Smear Images. [PDF]

Diagnostics (Basel)
Tasji L, Alghamdi HS, Almalaise Al-Ghamdi AS.   +2 more
europepmc   +1 more source

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Image-Based Sentiment Analysis Using InceptionV3 Transfer Learning Approach

SN Computer Science, 2023
Gaurav Meena, Krishna Kumar Mohbey
exaly   +2 more sources

Pre-trained InceptionV3 for Efficient Tuberculosis Detection

2024 15th International Conference on Computing Communication and Networking Technologies (ICCCNT)
Vandana Ahuja, Satvik Vats, Rishabh Sharma   +2 more
exaly   +2 more sources

InceptionV3 based blockage fault diagnosis of centrifugal pump

Advanced Engineering Informatics
Pavan K Kankar
exaly   +2 more sources

An Efficient Voice Authentication System using Enhanced Inceptionv3 Algorithm

Journal of Machine and Computing, 2023
Automatic voice authentication based on deep learning is a promising technology that has received much attention from academia and industry. It has proven to be effective in a variety of applications, including biometric access control systems. Using biometric data in such systems is difficult, particularly in a centralized setting.
Kaladharan N, Arunkumar R
openaire   +1 more source

COVID-19 Detection Using Convolutional Neural Networks and InceptionV3

2021 2nd Global Conference for Advancement in Technology (GCAT), 2021
The world today faces the grave crisis of a pandemic that threatens life, health, industries, economies and society as we know it. To tackle the spread of the COVID-19 disease, it is imperative that the individuals affected by it are identified efficiently.
Niharika Abhange, Swarad Gat, Shilpa Paygude   +2 more
openaire   +1 more source

Automatic Diabetic Retinopathy Detection Using Resnet50 and Inceptionv3

Indian Journal of Computer Science and Technology
Diabetic retinopathy (DR) is an eye disease in diabetic patients and is the cause of blindness in the population. Because of the complexity of color fundus images DR classification by humans is challenging and is also an error prone task. Thus, this paper proposes automated DR classification to detect diabetic retinopathy in advance.
Dr. K. Paramasivam, Jaspar vinitha sundari T, D. Sam Chrisvin   +2 more
openaire   +1 more source

Eye State Recognition Using InceptionV3 and VGG16

2023 International Conference on Artificial Intelligence, Blockchain, Cloud Computing, and Data Analytics (ICoABCD), 2023
Ziqi Sun, Joong Huang Chuah, Grace Mei Ting Chai   +2 more
openaire   +1 more source

Skin disease classification using inceptionV3 model

2022 International Conference on Artificial Intelligence and Data Engineering (AIDE), 2022
Spoorthi B Shetty, null Nishith, C Swathi Kamath, null Nishani   +3 more
openaire   +1 more source

Facial Emotion Recognition with InceptionV3 CNN Architecture

2023 International Conference on Informatics, Multimedia, Cyber and Informations System (ICIMCIS), 2023
Jason Timothy, Raymond Prasetio, Darwin Tandi, Henry Lucky, Irene Anindaputri Iswanto   +4 more
openaire   +1 more source