PO-186: A Case Study of the Application of Deep Learning Framework for the Segmentation of Lung in Indonesia

Radiotherapy and Oncology ◽

10.1016/s0167-8140(20)30527-2 ◽

2019 ◽

Vol 141 ◽

pp. S83

Author(s):

M. Haekal ◽

F. Haryanto ◽

I. Arif

Keyword(s):

Deep Learning ◽

Learning Framework

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Two-step Deep Learning Framework for Chronic Wounds Detection and Segmentation: A Case Study in Colombia

10.1109/stsiva53688.2021.9592008 ◽

2021 ◽

Author(s):

Brayan Monroy ◽

Jorge Bacca ◽

Karen Sanchez ◽

Henry Arguello ◽

Sergio Castillo

Keyword(s):

Deep Learning ◽

Chronic Wounds ◽

Learning Framework

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A Deep Learning Framework for Health Anomaly Detection of Multi-Component Systems in Evolving Environments: A Case Study in PHM

Proceedings of the 30th European Safety and Reliability Conference and 15th Probabilistic Safety Assessment and Management Conference ◽

10.3850/978-981-14-8593-0_5846-cd ◽

2020 ◽

Author(s):

Shahin Siahpour ◽

Abhijeet Ainapure ◽

Xiang Li ◽

Jay Lee

Keyword(s):

Deep Learning ◽

Anomaly Detection ◽

Learning Framework ◽

Component Systems

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A Hybrid Capsule Network-based Deep Learning Framework for Deciphering Ancient Scripts with Scarce Annotations: A Case Study on Phoenician Epigraphy

10.1109/mwscas47672.2021.9531798 ◽

2021 ◽

Author(s):

Rodrigue Rizk ◽

Dominick Rizk ◽

Frederic Rizk ◽

Ashok Kumar

Keyword(s):

Deep Learning ◽

Learning Framework

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National-scale greenhouse mapping for high spatial resolution remote sensing imagery using a dense object dual-task deep learning framework: A case study of China

ISPRS Journal of Photogrammetry and Remote Sensing ◽

10.1016/j.isprsjprs.2021.08.024 ◽

2021 ◽

Vol 181 ◽

pp. 279-294

Author(s):

Ailong Ma ◽

Dingyuan Chen ◽

Yanfei Zhong ◽

Zhuo Zheng ◽

Liangpei Zhang

Keyword(s):

Remote Sensing ◽

Deep Learning ◽

Spatial Resolution ◽

Dual Task ◽

High Spatial Resolution ◽

National Scale ◽

Remote Sensing Imagery ◽

Learning Framework

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Deep learning framework for short term power load forecasting, a case study of individual household energy customer

2019 International Conference on Advances in the Emerging Computing Technologies (AECT) ◽

10.1109/aect47998.2020.9194153 ◽

2020 ◽

Author(s):

Khursheed Aurangzeb ◽

Musaed Alhussein

Keyword(s):

Deep Learning ◽

Load Forecasting ◽

Household Energy ◽

Learning Framework ◽

Power Load Forecasting ◽

Individual Household

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Big Data Deep Learning Framework using Keras: A Case Study of Pneumonia Prediction

2018 4th International Conference on Computing Communication and Automation (ICCCA) ◽

10.1109/ccaa.2018.8777571 ◽

2018 ◽

Author(s):

Karan Jakhar ◽

Nishtha Hooda

Keyword(s):

Big Data ◽

Deep Learning ◽

Learning Framework

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An Interpretable Deep Learning Framework for Health Monitoring Systems: A Case Study of Eye State Detection using EEG Signals

2020 IEEE Symposium Series on Computational Intelligence (SSCI) ◽

10.1109/ssci47803.2020.9308230 ◽

2020 ◽

Author(s):

Amirhessam Tahmassebi ◽

Jennifer Martin ◽

Anke Meyer-Baese ◽

Amir H. Gandomi

Keyword(s):

Deep Learning ◽

Health Monitoring ◽

Monitoring Systems ◽

Eeg Signals ◽

Learning Framework ◽

State Detection ◽

Health Monitoring Systems

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A DEEP LEARNING FRAMEWORK FOR CLASSIFICATION OF SEVERITY IN CHRONIC OBSTRUCTIVE PULMONARY DISEASE (COPD)

10.26226/morressier.5ade45fed462b8029238e7b4 ◽

2018 ◽

Author(s):

Roger Tam

Keyword(s):

Chronic Obstructive Pulmonary Disease ◽

Deep Learning ◽

Pulmonary Disease ◽

Chronic Obstructive ◽

Obstructive Pulmonary Disease ◽

Learning Framework

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A deep learning framework of elastic plates and shells

10.26226/morressier.5f5f8e69aa777f8ba5bd6036 ◽

2020 ◽

Author(s):

Juner Zhu

Keyword(s):

Deep Learning ◽

Elastic Plates ◽

Learning Framework ◽

Plates And Shells

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A Deep Learning Framework for Prediction of Retinal Disorders

SSRN Electronic Journal ◽

10.2139/ssrn.3563640 ◽

2020 ◽

Author(s):

Raniyaharini R ◽

Madhumitha K ◽

Mishaa S ◽

Virajaravi R

Keyword(s):

Deep Learning ◽

Learning Framework ◽

Retinal Disorders

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