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Sign language recognition (SLR)OpenCVNew DatasetSign language is an essential means of communication for hearing-impaired individuals. We aimed to develop an American sign language recognition dataset and use it in the deep learning model which depends on neural networks to interpret gestures of sign...
hvn2/DIP-SLR Star5 Code Issues Pull requests Codes for the paper "Deep sparse and low-rank for HSI denoising" in Proceeding of IGARSS 2022, Kuala Lumpur. denoisinghyperspectral-imagedeep-image-priorlow-rankunsupervised-deep-learningsparsisty ...
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(Nag et al.2022). Despite the DL impressive performance, it remains a critical and challenging task, and there is a chance for researchers to develop several algorithms that improve drug discovery performance. Therefore, this paper presents a SLR that integrates the recent DL technologies and ...
This systematic literature review (SLR) is aiming for a thorough analysis and comparison of 32 primary studies on DL-based vulnerability analysis of program code. We found a rich variety of proposed analysis approaches, code embeddings and network topologies. We discuss these techniques and ...
Thus, the creation of a sign language translation system, specifically a sign language recognition (SLR) system, holds significant importance in their lives. To address this challenge, we utilized the Xception Model. Our approach involved training the Xception Model using a dataset representing the ...
Vision based sign language recognition (SLR) is a challenging task due to the complexity of signs and limited data collection. To improve the recognition p... Q Dan,W Zhou,W Meng,... - IEEE 被引量: 3发表: 2016年 scZAG: Integrating ZINB-Based Autoencoder with Adaptive Data Augmentation ...
This paper explores the use of deep learning-based optical character recognition (OCR) to identify part numbers for used automotive parts. It compares open source and advanced AI methods to commercial tools from Google, Amazon, and Microsoft. The study finds that fine-tuned open source models ...
This research reviews deep learning methodologies for detecting leukemia, a critical cancer diagnosis and treatment aspect. Using a systematic mapping study (SMS) and systematic literature review (SLR), thirty articles published between 2019 and 2023 were analyzed to explore the advancements in deep lea...