Results 41 to 50 of about 9,883,756 (332)
Quantum distributed deep learning architectures: Models, discussions, and applications
ICT Express, 2023 Although deep learning (DL) has already become a state-of-the-art technology for various data processing tasks, data security and computational overload problems often arise due to their high data and computational power dependency. To solve this problem,
Yunseok Kwak +7 more
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Deep learning approaches in flow visualization
Advances in Aerodynamics, 2022 With the development of deep learning (DL) techniques, many tasks in flow visualization that used to rely on complex analysis algorithms now can be replaced by DL methods.
Can Liu +6 more
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A survey on deep reinforcement learning for audio‑based applications [PDF]
, 2022 Deep reinforcement learning (DRL) is poised to revolutionise the field of artificial intelligence (AI) by endowing autonomous systems with high levels of understanding of the real world.
Ali, Hafiz Shehbaz +11 more
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Survey of deep representation learning for speech emotion recognition [PDF]
, 2023 Traditionally, speech emotion recognition (SER) research has relied on manually handcrafted acoustic features using feature engineering. However, the design of handcrafted features for complex SER tasks requires significant manual eort, which impedes ...
Siddique Latif +13 more
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Recognition of mRNA N4 Acetylcytidine (ac4C) by Using Non-Deep vs. Deep Learning
Applied Sciences, 2022 Deep learning models have been successfully applied in a wide range of fields. The creation of a deep learning framework for analyzing high-performance sequence data have piqued the research community’s interest.
Muhammad Shahid Iqbal +7 more
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Automated detection of schizophrenia using deep learning: a review for the last decade
, 2023 Schizophrenia (SZ) is a devastating mental disorder that disrupts higher brain functions like thought, perception, etc., with a profound impact on the individual's life.
Tan, Ru San +4 more
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Applied Artificial Intelligence, 2022 Solar activity has significant impacts on human activities and health. One most commonly used measure of solar activity is the sunspot number. This paper compares three important non-deep learning models, four popular deep learning models, and their five
Yuchen Dang, Ziqi Chen, Heng Li, Hai Shu
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Are Deep Learning Approaches Suitable for Natural Language Processing? [PDF]
, 2016 In recent years, Deep Learning (DL) techniques have gained much at-tention from Artificial Intelligence (AI) and Natural Language Processing (NLP) research communities because these approaches can often learn features from data without the need for human
Alshahrani, S. +3 more
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Deep Learning Strategies for Enhanced Molecular Docking and Virtual Screening [PDF]
, 2023 Over the last few years, machine learning (ML) and deep learning (DL) have been revolutionising the computer-aided drug discovery landscape. With the recent availability of the so-called ultra-large virtual libraries (libraries with up to billions of ...
Eduardo, Krempser +4 more
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Driver Drowsiness Detection using Evolutionary Machine Learning: A Survey [PDF]
BIO Web of ConferencesOne of the factors that kills hundreds of people every year is driving accidents caused by drowsy drivers. There are different methods to prevent this type of accidents. Recently Machine Learning (ML) and Deep Learning (DL) have emerged as very effective
Yasir Jumhaa Maha +2 more
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