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Keyword: MobileNet
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Open AccessArticle
8 Pages, 1,038 KB Download PDF

American Sign Language Recognition Based on MobileNetV2

Advances in Science, Technology and Engineering Systems Journal, Volume 5, Issue 6, Page # 481–488, 2020; DOI: 10.25046/aj050657
Abstract:

Sign language is a form of communication language designed to link a deaf-mute person to the world. To express an idea it requires the use of hand gestures and body movement. However, the bulk of the general population remain uneducated to understand the sign language. Therefore, a translator is required to facilitate the communication. This…

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(This article belongs to the SP9 (Special Issue on Multidisciplinary Innovation in Engineering Science & Technology 2020) & Section Information Systems in Computer Science (CIS))
Open AccessArticle
12 Pages, 2,090 KB Download PDF

High Performance SqueezeNext: Real time deployment on Bluebox 2.0 by NXP

Advances in Science, Technology and Engineering Systems Journal, Volume 7, Issue 3, Page # 70–81, 2022; DOI: 10.25046/aj070308
Abstract:

DNN implementation and deployment is quite a challenge within a resource constrained environment on real-time embedded platforms. To attain the goal of DNN tailor made architecture deployment on a real-time embedded platform with limited hardware resources (low computational and memory resources) in comparison to a CPU or GPU based system, High Performance SqueezeNext (HPS) architecture…

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(This article belongs to Section Artificial Intelligence in Computer Science (CAI))
Open AccessArticle
12 Pages, 658 KB Download PDF

Transfer Learning and Fine Tuning in Breast Mammogram Abnormalities Classification on CBIS-DDSM Database

Advances in Science, Technology and Engineering Systems Journal, Volume 5, Issue 2, Page # 154–165, 2020; DOI: 10.25046/aj050220
Abstract:

Breast cancer has an important incidence in women mortality worldwide. Currently, mam- mography is considered the gold standard for breast abnormalities screening examinations, since it aids in the early detection and diagnosis of the illness. However, both identification of mass lesions and its malignancy classification is a challenging problem for artificial intelligence. In this work,…

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(This article belongs to the SP8 (Special Issue on Multidisciplinary Sciences and Engineering 2019-20) & Section Neuroimaging (NUM))

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