Results 21 to 30 of about 84,699 (302)
TeachOpenCADD goes Deep Learning: Open-source Teaching Platform Exploring Molecular DL Applications
, 2023 TeachOpenCADD is a free online platform that offers solutions to common computer-aided drug design (CADD) tasks using Python programming and open-source data and packages.
Verena, Wolf +10 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 +12 more
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Deep learning approaches for the cardiovascular disease diagnosis using smartphone
, 2022 One of the most important subjects for societies is human health services, which aims to determine the appropriate, accurate and robust diagnosis of the disorder for patients to get the adequate treatment as quickly as possible.
Subasi, Abdulhamit +2 more
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, 2023 This release is for the paper "DL-RMD: a geophysically constrained electromagnetic resistivity model database (RMD) for deep learning (DL) applications", and contains a ready-to-run demo code in Python Jupyter Notebook that uses the network trained on S ...
rizwanasif
core +1 more source
A survey on deep reinforcement learning for audio‑based applications [PDF]
, 2023 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 +5 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
doaj +1 more source
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
doaj +1 more source
Epileptic Seizures Detection Using Deep Learning Techniques: A Review [PDF]
, 2021 A variety of screening approaches have been proposed to diagnose epileptic seizures, using electroencephalography (EEG) and magnetic resonance imaging (MRI) modalities.
Assef Zare +33 more
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MCR-DL: Mix-and-Match Communication Runtime for Deep Learning
2023 IEEE International Parallel and Distributed Processing Symposium (IPDPS), 2023 In recent years, the training requirements of many state-of-the-art Deep Learning (DL) models have scaled beyond the compute and memory capabilities of a single processor, and necessitated distribution among processors. Training such massive models necessitates advanced parallelism strategies to maintain efficiency.
Quentin Anthony +7 more
openaire +2 more sources
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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