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The state of the art of deep learning models in medical science and their challenges
The state of the art of deep learning models in medical science and their challenges
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The state of the art of deep learning models in medical science and their challenges

Bhatt, Chandradeep ; Kumar, Indrajeet ; Vijayakumar, V. ; Singh, Kamred Udham ; Kumar, Abhishek

Multimedia systems, 2021-08, Vol.27 (4), p.599-613 [Periódico revisado por pares]

Berlin/Heidelberg: Springer Berlin Heidelberg

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Interpretable deep learning: interpretation, interpretability, trustworthiness, and beyond
Interpretable deep learning: interpretation, interpretability, trustworthiness, and beyond
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Interpretable deep learning: interpretation, interpretability, trustworthiness, and beyond

Li, Xuhong ; Xiong, Haoyi ; Li, Xingjian ; Wu, Xuanyu ; Zhang, Xiao ; Liu, Ji ; Bian, Jiang ; Dou, Dejing

Knowledge and information systems, 2022-12, Vol.64 (12), p.3197-3234 [Periódico revisado por pares]

London: Springer London

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3
Artificial Intelligence and COVID-19: Deep Learning Approaches for Diagnosis and Treatment
Artificial Intelligence and COVID-19: Deep Learning Approaches for Diagnosis and Treatment
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Artificial Intelligence and COVID-19: Deep Learning Approaches for Diagnosis and Treatment

Jamshidi, Mohammad ; Lalbakhsh, Ali ; Talla, Jakub ; Peroutka, Zdenek ; Hadjilooei, Farimah ; Lalbakhsh, Pedram ; Jamshidi, Morteza ; Spada, Luigi La ; Mirmozafari, Mirhamed ; Dehghani, Mojgan ; Sabet, Asal ; Roshani, Saeed ; Roshani, Sobhan ; Bayat-Makou, Nima ; Mohamadzade, Bahare ; Malek, Zahra ; Jamshidi, Alireza ; Kiani, Sarah ; Hashemi-Dezaki, Hamed ; Mohyuddin, Wahab

IEEE access, 2020-01, Vol.8, p.109581-109595 [Periódico revisado por pares]

Piscataway: IEEE

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4
Multi-Modal LA in Personalized Education Using Deep Reinforcement Learning Based Approach
Multi-Modal LA in Personalized Education Using Deep Reinforcement Learning Based Approach
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Multi-Modal LA in Personalized Education Using Deep Reinforcement Learning Based Approach

Sharif, Muddsair ; Uckelmann, Dieter

IEEE access, 2024, Vol.12, p.54049-54065 [Periódico revisado por pares]

Piscataway: IEEE

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Exploring the Advantages of Quantum Generative Adversarial Networks in Generative Chemistry
Exploring the Advantages of Quantum Generative Adversarial Networks in Generative Chemistry
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Exploring the Advantages of Quantum Generative Adversarial Networks in Generative Chemistry

Kao, Po-Yu ; Yang, Ya-Chu ; Chiang, Wei-Yin ; Hsiao, Jen-Yueh ; Cao, Yudong ; Aliper, Alex ; Ren, Feng ; Aspuru-Guzik, Alán ; Zhavoronkov, Alex ; Hsieh, Min-Hsiu ; Lin, Yen-Chu

Journal of chemical information and modeling, 2023-06, Vol.63 (11), p.3307-3318 [Periódico revisado por pares]

United States: American Chemical Society

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6
Deep Learning Total Energies and Orbital Energies of Large Organic Molecules Using Hybridization of Molecular Fingerprints
Deep Learning Total Energies and Orbital Energies of Large Organic Molecules Using Hybridization of Molecular Fingerprints
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Deep Learning Total Energies and Orbital Energies of Large Organic Molecules Using Hybridization of Molecular Fingerprints

Rahaman, Obaidur ; Gagliardi, Alessio

Journal of chemical information and modeling, 2020-12, Vol.60 (12), p.5971-5983 [Periódico revisado por pares]

United States: American Chemical Society

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7
Deep Reinforcement Learning for Autonomous Internet of Things: Model, Applications and Challenges
Deep Reinforcement Learning for Autonomous Internet of Things: Model, Applications and Challenges
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Deep Reinforcement Learning for Autonomous Internet of Things: Model, Applications and Challenges

Lei, Lei ; Tan, Yue ; Zheng, Kan ; Liu, Shiwen ; Zhang, Kuan ; Shen, Xuemin

IEEE Communications surveys and tutorials, 2020-01, Vol.22 (3), p.1722-1760 [Periódico revisado por pares]

New York: IEEE

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Structure-Based de Novo Molecular Generator Combined with Artificial Intelligence and Docking Simulations
Structure-Based de Novo Molecular Generator Combined with Artificial Intelligence and Docking Simulations
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Structure-Based de Novo Molecular Generator Combined with Artificial Intelligence and Docking Simulations

Ma, Biao ; Terayama, Kei ; Matsumoto, Shigeyuki ; Isaka, Yuta ; Sasakura, Yoko ; Iwata, Hiroaki ; Araki, Mitsugu ; Okuno, Yasushi

Journal of chemical information and modeling, 2021-07, Vol.61 (7), p.3304-3313 [Periódico revisado por pares]

Washington: American Chemical Society

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9
Deep Learning-Based Bioactive Therapeutic Peptide Generation and Screening
Deep Learning-Based Bioactive Therapeutic Peptide Generation and Screening
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Deep Learning-Based Bioactive Therapeutic Peptide Generation and Screening

Zhang, Haiping ; Saravanan, Konda Mani ; Wei, Yanjie ; Jiao, Yang ; Yang, Yang ; Pan, Yi ; Wu, Xuli ; Zhang, John Z. H.

Journal of chemical information and modeling, 2023-02, Vol.63 (3), p.835-845 [Periódico revisado por pares]

United States: American Chemical Society

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10
Multi-model LSTM-based convolutional neural networks for detection of apple diseases and pests
Multi-model LSTM-based convolutional neural networks for detection of apple diseases and pests
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Multi-model LSTM-based convolutional neural networks for detection of apple diseases and pests

Turkoglu, Muammer ; Hanbay, Davut ; Sengur, Abdulkadir

Journal of ambient intelligence and humanized computing, 2022-07, Vol.13 (7), p.3335-3345 [Periódico revisado por pares]

Berlin/Heidelberg: Springer Berlin Heidelberg

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