Results 51 to 60 of about 9,883,756 (332)

FNMD: An Evaluation of Machine Learning and Deep Learning Techniques for Fake News Detection

, 2023
Fake news proliferation on social media platforms has become alarming because it poses threats to various aspects of society. Fake news encompasses intentionally falsified information designed to mislead readers and manipulate public perception ...
Hosseini, SM., Abdi, A., Daneshvar, B.
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Machine Learning/Deep Learning in Medical Image Processing [PDF]

, 2021
Many recent studies on medical image processing have involved the use of machine learning (ML) and deep learning (DL). This special issue, “Machine Learning/Deep Learning in Medical Image Processing”, has been launched to provide an opportunity for ...

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Deep learning: Applications, architectures, models, tools, and frameworks: A comprehensive survey

CAAI Transactions on Intelligence Technology, 2023
Deep Learning (DL) is a subfield of machine learning that significantly impacts extracting new knowledge. By using DL, the extraction of advanced data representations and knowledge can be made possible.
Mehdi Gheisari, Fereshteh Ebrahimzadeh, Mohamadtaghi Rahimi, Mahdieh Moazzamigodarzi, Yang Liu, Pijush Kanti Dutta Pramanik, Mohammad Ali Heravi, Abolfazl Mehbodniya, Mustafa Ghaderzadeh, Mohammad Reza Feylizadeh, Saeed Kosari   +10 more
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Deep learning methods may not outperform other machine learning methods on analyzing genomic studies

Frontiers in Genetics, 2022
Deep Learning (DL) has been broadly applied to solve big data problems in biomedical fields, which is most successful in image processing. Recently, many DL methods have been applied to analyze genomic studies. However, genomic data usually has too small
Yao Dong, Yao Dong, Yao Dong, Shaoze Zhou, Li Xing, Yumeng Chen, Yumeng Chen, Ziyu Ren, Ziyu Ren, Yongfeng Dong, Yongfeng Dong, Xuekui Zhang   +11 more
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Deep Learning (DL)

, 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

Ensemble Learning, Deep Learning-Based and Molecular Descriptor-Based Quantitative Structure–Activity Relationships

Molecules, 2023
A deep learning-based quantitative structure–activity relationship analysis, namely the molecular image-based DeepSNAP–deep learning method, can successfully and automatically capture the spatial and temporal features in an image generated from a three ...
Yasunari Matsuzaka, Yoshihiro Uesawa
doaj   +1 more source

A Novel Technique to Support Deep Learning Applications in a Model-Based Embedded Software Design Methodology

IEEE Access, 2023
As deep learning applications are getting popular in embedded systems, how to support deep learning applications in the model-based embedded software design methodology becomes a challenging problem. A previous solution is to represent each deep learning
Jangryul Kim, Jaewoo Son, Soonhoi Ha
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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, Aminshahidi, Diba, Udyavara Rajendra Acharya, Modjtaba Rouhani, Moridian, Parisa, Parisa Moridian, Navid Ghassemi, Atiya, Amir F., Zare, Assef, Jafari, Mahboobeh, Roohallah Alizadehsani, Maryam Panahiazar, Sadiq Hussain, Amir F. Atiya, Khosravi, Abbas, Marjane Khodatars, Shoeibi, Afshin, Acharya, Udyavara Rajendra, Alizadehsani, Roohallah, Panahiazar, Maryam, Rouhani, Modjtaba, Khozeimeh, Fahime, Fahime Khozeimeh, Saeid Nahavandi, Ghassemi, Navid, Hussain, Sadiq, Abbas Khosravi, Diba Aminshahidi, Nahavandi, Saeid, Mahboobeh Jafari, Khodatars, Marjane, Hosseini-Nejad, Hossein, Afshin Shoeibi, Hossein Hosseini-Nejad   +33 more
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Coding of Still Pictures

, 2022
Relatório técnicoThis document describes a deep learning (DL)-based point cloud (PC) geometry codec and a DL-based PC joint geometry and colour codec, submitted to the Call for Proposals on JPEG Pleno Point Cloud Coding issued in January 2022 [1]. These
Guarda, André F. R., Ruivo, Manuel, Pereira, Fernando, Coelho, Luís, Seleem, Abdelrahman, Rodrigues, Nuno M. M.   +5 more
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Deep learning, reinforcement learning, and world models [PDF]

, 2022
Deep learning (DL) and reinforcement learning (RL) methods seem to be a part of indispensable factors to achieve human-level or super-human AI systems.
Sugiyama, Masashi, Matsuo, Yutaka, Precup, Doina, Morimoto, Jun, Sahani, Maneesh, LeCun, Yann, Silver, David, Uchibe, Eiji   +7 more
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