India perspective: CNN-LSTM hybrid deep learning model-based COVID-19 prediction and current status of medical resource availability

Soft Computing ◽

10.1007/s00500-021-06490-x ◽

2021 ◽

Author(s):

Shwet Ketu ◽

Pramod Kumar Mishra

Keyword(s):

Deep Learning ◽

Resource Availability ◽

Learning Model ◽

Current Status ◽

Medical Resource ◽

Model Based ◽

Deep Learning Model

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Advanced deep learning model-based impact characterization method for composite laminates

Composites Science and Technology ◽

10.1016/j.compscitech.2021.108713 ◽

2021 ◽

Vol 207 ◽

pp. 108713

Author(s):

Kyung-Chae Jung ◽

Seung-Hwan Chang

Keyword(s):

Deep Learning ◽

Composite Laminates ◽

Learning Model ◽

Model Based ◽

Deep Learning Model

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Transferable deep learning model based on the phenological matching principle for mapping crop extent

International Journal of Applied Earth Observation and Geoinformation ◽

10.1016/j.jag.2021.102451 ◽

2021 ◽

Vol 102 ◽

pp. 102451

Author(s):

Shuang Ge ◽

Jinshui Zhang ◽

Yaozhong Pan ◽

Zhi Yang ◽

Shuang Zhu

Keyword(s):

Deep Learning ◽

Learning Model ◽

Model Based ◽

Deep Learning Model

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A ConvBiLSTM Deep Learning Model Based Approach for Twitter Sentiment Classification

IEEE Access ◽

10.1109/access.2021.3064830 ◽

2021 ◽

pp. 1-1

Author(s):

Sakirin Tam ◽

Rachid Ben Said ◽

Omer Ozgur Tanriover

Keyword(s):

Deep Learning ◽

Learning Model ◽

Sentiment Classification ◽

Model Based ◽

Deep Learning Model

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Forecasting air pollutant concentration using a novel spatiotemporal deep learning model based on clustering, feature selection and empirical wavelet transform

The Science of The Total Environment ◽

10.1016/j.scitotenv.2021.149654 ◽

2021 ◽

pp. 149654

Author(s):

Jusong Kim ◽

Xiaoli Wang ◽

Chollyong Kang ◽

Jinwon Yu ◽

Penghui Li

Keyword(s):

Feature Selection ◽

Deep Learning ◽

Wavelet Transform ◽

Learning Model ◽

Air Pollutant ◽

Pollutant Concentration ◽

Model Based ◽

Empirical Wavelet Transform ◽

Deep Learning Model

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A Deep Learning Model Based on Convolutional Neural Networks for Classification of Magnetic Resonance Prostate Images

Artificial Intelligence and Applied Mathematics in Engineering Problems - Lecture Notes on Data Engineering and Communications Technologies ◽

10.1007/978-3-030-36178-5_59 ◽

2020 ◽

pp. 701-708

Author(s):

Fatih Uysal ◽

Fırat Hardalaç ◽

Mustafa Koç

Keyword(s):

Neural Networks ◽

Deep Learning ◽

Magnetic Resonance ◽

Convolutional Neural Networks ◽

Learning Model ◽

Model Based ◽

Deep Learning Model

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Automated post-operative brain tumour segmentation: A deep learning model based on transfer learning from pre-operative images

Magnetic Resonance Imaging ◽

10.1016/j.mri.2021.10.012 ◽

2021 ◽

Author(s):

Mina Ghaffari ◽

Gihan Samarasinghe ◽

Michael Jameson ◽

Farhannah Aly ◽

Lois Holloway ◽

...

Keyword(s):

Deep Learning ◽

Brain Tumour ◽

Transfer Learning ◽

Learning Model ◽

Model Based ◽

Tumour Segmentation ◽

Deep Learning Model ◽

Brain Tumour Segmentation

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Cross-Age Face Recognition Using Deep Learning Model Based on Dual Attention Mechanism

Lecture Notes in Electrical Engineering - Communications, Signal Processing, and Systems ◽

10.1007/978-981-15-8411-4_251 ◽

2021 ◽

pp. 1911-1919

Author(s):

Jialve Wang ◽

Shenghong Li ◽

Fucai Luo

Keyword(s):

Deep Learning ◽

Face Recognition ◽

Learning Model ◽

Attention Mechanism ◽

Model Based ◽

Deep Learning Model

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Fighting against COVID-19: A novel deep learning model based on YOLO-v2 with ResNet-50 for medical face mask detection

Sustainable Cities and Society ◽

10.1016/j.scs.2020.102600 ◽

2020 ◽

pp. 102600

Author(s):

Mohamed Loey ◽

Gunasekaran Manogaran ◽

Mohamed Hamed N. Taha ◽

Nour Eldeen M. Khalifa

Keyword(s):

Deep Learning ◽

Face Mask ◽

Learning Model ◽

Model Based ◽

Deep Learning Model

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Decoding ECoG Signal with Deep Learning Model Based on LSTM

TENCON 2018 - 2018 IEEE Region 10 Conference ◽

10.1109/tencon.2018.8650433 ◽

2018 ◽

Cited By ~ 1

Author(s):

Anming Du ◽

Shuqin Yang ◽

Weijia Liu ◽

Haiping Huang

Keyword(s):

Deep Learning ◽

Learning Model ◽

Model Based ◽

Deep Learning Model

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A Deep Learning Model Based on Concatenation Approach for the Diagnosis of Brain Tumor

IEEE Access ◽

10.1109/access.2020.2978629 ◽

2020 ◽

Vol 8 ◽

pp. 55135-55144 ◽

Cited By ~ 2

Author(s):

Neelum Noreen ◽

Sellappan Palaniappan ◽

Abdul Qayyum ◽

Iftikhar Ahmad ◽

Muhammad Imran ◽

...

Keyword(s):

Deep Learning ◽

Brain Tumor ◽

Learning Model ◽

Model Based ◽

Deep Learning Model

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