Results 41 to 50 of about 84,699 (302)
Deep-learning-based recognition of multi-singularity structured light
, 2021 Structured light with customized complex topological pattern inspires diverse classical and quantum investigations underpinned by accurate detection techniques.
Zijian Shi (12176450) +9 more
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A Comparative Study of Deep Learning and Traditional Methods for Environmental Remote Sensing [PDF]
ITM Web of Conferences, 2023 Because of the accessibility of massive data from remote sensing data and developments in ML, machine learning (ML) techniques have been extensively applied in environmental remote sensing research.
Farooq Bazila, Manocha Ankush
doaj +1 more source
, 2023 Deep learning (DL) is a highly impactful field in machine learning that has revolutionized various domains. DL can learn from large datasets, extract complex patterns, and make accurate predictions. It has applications in computer vision, natural language processing, healthcare, finance, and more.
openaire +2 more sources
A Review on Deep Learning Methods for ECG Arrhythmia Classification
, 2020 Deep Learning (DL) has recently become a topic of study in different applications including healthcare, in which timely detection of anomalies on Electrocardiogram (ECG) can play a vital role in patient monitoring.
Loni, Mohammad, +3 more
core +1 more source
Nature Communications, 2021 Recent critical commentaries unfavorably compare deep learning (DL) with standard machine learning (SML) for brain imaging data analysis. Here, the authors show that if trained following prevalent DL practices, DL methods substantially improve compared ...
Anees Abrol +6 more
doaj +1 more source
, 2022 Glaucoma is one of the world’s leading causes of visual disability. The optic nerve fibers can deteriorate over time and cannot be replaced until it achieves later stages. In aging populations, early detection is extremely significant. In this paper, the
Samuel, R. Dinesh Jackson +3 more
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Deep Learning for Software Vulnerabilities Detection Using Code Metrics
IEEE Access, 2020 Software vulnerability can cause disastrous consequences for information security. Earlier detection of vulnerabilities minimizes these consequences.
Mohammed Zagane +2 more
doaj +1 more source
Insights into Imaging, 2023 Objective Develop and evaluate an ensemble clinical machine learning–deep learning (CML-DL) model integrating deep visual features and clinical data to improve the prediction of supraspinatus/infraspinatus tendon complex (SITC) injuries. Methods Patients
Yamuhanmode Alike +13 more
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Explainable deep learning for decrypting disease signatures in multiple sclerosis
, 2023 EXplainable Artificial Intelligence (XAI) recently emerged as one of the hottest topics aimed at overcoming this limitation by proposing strategies for understanding the why and the how of the outcomes of Machine (ML) and Deep Learning (DL), allowing to ...
Gloria Menegaz +9 more
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Applications of Deep Learning and Reinforcement Learning to Biological Data [PDF]
, 2018 Rapid advances in hardware-based technologies during the past decades have opened up new possibilities for life scientists to gather multimodal data in various application domains, such as omics, bioimaging, medical imaging, and (brain/body)-machine ...
Vassanelli, S +15 more
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