Leveraging Transfer Learning and Mobile-enabled Convolutional Neural Networks for Improved Arabic Handwritten Character Recognition | Paper Citation Record

Observation 8a226849-d0c0-484a-8e5c-4a5a464c15a6 · outbound

This paper cites Cnn-based methods for offline arabic handwriting recognition: A review,.

Leveraging Transfer Learning and Mobile-enabled Convolutional Neural Networks for Improved Arabic Handwritten Character Recognition Cnn-based methods for offline arabic handwriting recognition: A review,

Reference 1

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This paper cites A steerable directional local profile technique for extraction of handwritten arabic text lines,.

Leveraging Transfer Learning and Mobile-enabled Convolutional Neural Networks for Improved Arabic Handwritten Character Recognition A steerable directional local profile technique for extraction of handwritten arabic text lines,

Reference 2

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This paper cites Deepahr: a deep neural network approach for recognizing arabic handwritten recognition,.

Leveraging Transfer Learning and Mobile-enabled Convolutional Neural Networks for Improved Arabic Handwritten Character Recognition Deepahr: a deep neural network approach for recognizing arabic handwritten recognition,

Reference 3

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This paper cites Advancing arabic handwriting recognition with convolutional and recurrent neural network ensembles,.

Leveraging Transfer Learning and Mobile-enabled Convolutional Neural Networks for Improved Arabic Handwritten Character Recognition Advancing arabic handwriting recognition with convolutional and recurrent neural network ensembles,

Reference 4

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This paper cites Conv-vit fusion for improved handwritten arabic character classifica- tion,.

Leveraging Transfer Learning and Mobile-enabled Convolutional Neural Networks for Improved Arabic Handwritten Character Recognition Conv-vit fusion for improved handwritten arabic character classifica- tion,

Reference 5

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This paper cites Automatic speech recognition using advanced deep learning approaches: A survey,.

Leveraging Transfer Learning and Mobile-enabled Convolutional Neural Networks for Improved Arabic Handwritten Character Recognition Automatic speech recognition using advanced deep learning approaches: A survey,

Reference 6

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This paper cites An innovative deep anomaly detection of building energy consumption using energy time-series images,.

Leveraging Transfer Learning and Mobile-enabled Convolutional Neural Networks for Improved Arabic Handwritten Character Recognition An innovative deep anomaly detection of building energy consumption using energy time-series images,

Reference 7

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This paper cites Face mask detection in smart cities using deep and transfer learning: Lessons learned from the covid-19 pandemic,.

Leveraging Transfer Learning and Mobile-enabled Convolutional Neural Networks for Improved Arabic Handwritten Character Recognition Face mask detection in smart cities using deep and transfer learning: Lessons learned from the covid-19 pandemic,

Reference 8

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This paper cites Winograd transform-based fast detection of heart disease using ecg signals and chest x-ray images,.

Leveraging Transfer Learning and Mobile-enabled Convolutional Neural Networks for Improved Arabic Handwritten Character Recognition Winograd transform-based fast detection of heart disease using ecg signals and chest x-ray images,

Reference 9

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This paper cites PaLI: A Jointly-Scaled Multilingual Language-Image Model.

Leveraging Transfer Learning and Mobile-enabled Convolutional Neural Networks for Improved Arabic Handwritten Character Recognition PaLI: A Jointly-Scaled Multilingual Language-Image Model

Reference 10

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This paper cites Scaling Vision Transformers.

Leveraging Transfer Learning and Mobile-enabled Convolutional Neural Networks for Improved Arabic Handwritten Character Recognition Scaling Vision Transformers

Reference 11

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This paper cites Video surveillance using deep transfer learning and deep domain adaptation: Towards better generalization,.

Leveraging Transfer Learning and Mobile-enabled Convolutional Neural Networks for Improved Arabic Handwritten Character Recognition Video surveillance using deep transfer learning and deep domain adaptation: Towards better generalization,

Reference 12

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This paper cites Deep transfer learning for intrusion detection in industrial control networks: A comprehensive review,.

Leveraging Transfer Learning and Mobile-enabled Convolutional Neural Networks for Improved Arabic Handwritten Character Recognition Deep transfer learning for intrusion detection in industrial control networks: A comprehensive review,

Reference 13

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This paper cites A survey on deep transfer learning,.

Leveraging Transfer Learning and Mobile-enabled Convolutional Neural Networks for Improved Arabic Handwritten Character Recognition A survey on deep transfer learning,

Reference 14

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This paper cites A survey of transfer learning,.

Leveraging Transfer Learning and Mobile-enabled Convolutional Neural Networks for Improved Arabic Handwritten Character Recognition A survey of transfer learning,

Reference 15

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This paper cites Deep visual social distancing monitor- ing to combat covid-19: A comprehensive survey,.

Leveraging Transfer Learning and Mobile-enabled Convolutional Neural Networks for Improved Arabic Handwritten Character Recognition Deep visual social distancing monitor- ing to combat covid-19: A comprehensive survey,

Reference 16

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This paper cites Handwritten amharic character recognition through transfer learning: Integrating cnn models and machine learning classifiers,.

Leveraging Transfer Learning and Mobile-enabled Convolutional Neural Networks for Improved Arabic Handwritten Character Recognition Handwritten amharic character recognition through transfer learning: Integrating cnn models and machine learning classifiers,

Reference 17

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Observation a03fb808-366c-41cc-a730-d2a2a5ac82c1 · outbound

This paper cites Handwritten arabic character recognition: Comparison of conventional machine learning and deep learning approaches,.

Leveraging Transfer Learning and Mobile-enabled Convolutional Neural Networks for Improved Arabic Handwritten Character Recognition Handwritten arabic character recognition: Comparison of conventional machine learning and deep learning approaches,

Reference 18

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Observation 665b265d-9393-4793-a87d-d7674e972e65 · outbound

This paper cites Deep convolutional neural networks transfer learning comparison on arabic handwriting recognition system,.

Leveraging Transfer Learning and Mobile-enabled Convolutional Neural Networks for Improved Arabic Handwritten Character Recognition Deep convolutional neural networks transfer learning comparison on arabic handwriting recognition system,

Reference 19

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This paper cites Offline arabic handwritten word recognition: A transfer learning approach,.

Leveraging Transfer Learning and Mobile-enabled Convolutional Neural Networks for Improved Arabic Handwritten Character Recognition Offline arabic handwritten word recognition: A transfer learning approach,

Reference 20

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This paper cites Investigation on deep learning for off-line handwritten arabic character recognition,.

Leveraging Transfer Learning and Mobile-enabled Convolutional Neural Networks for Improved Arabic Handwritten Character Recognition Investigation on deep learning for off-line handwritten arabic character recognition,

Reference 21

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This paper cites Ocr-nets: Variants of pre-trained cnn for urdu handwritten character recognition via transfer learning,.

Leveraging Transfer Learning and Mobile-enabled Convolutional Neural Networks for Improved Arabic Handwritten Character Recognition Ocr-nets: Variants of pre-trained cnn for urdu handwritten character recognition via transfer learning,

Reference 22

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This paper cites Arabic handwritten characters recognition using convolutional neural network,.

Leveraging Transfer Learning and Mobile-enabled Convolutional Neural Networks for Improved Arabic Handwritten Character Recognition Arabic handwritten characters recognition using convolutional neural network,

Reference 23

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This paper cites Arabic handwriting recognition system using convolutional neural network,.

Leveraging Transfer Learning and Mobile-enabled Convolutional Neural Networks for Improved Arabic Handwritten Character Recognition Arabic handwriting recognition system using convolutional neural network,

Reference 24

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This paper cites A comprehensive isolated farsi/arabic character database for handwritten ocr research,.

Leveraging Transfer Learning and Mobile-enabled Convolutional Neural Networks for Improved Arabic Handwritten Character Recognition A comprehensive isolated farsi/arabic character database for handwritten ocr research,

Reference 25

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This paper cites El Khayati, I.

Leveraging Transfer Learning and Mobile-enabled Convolutional Neural Networks for Improved Arabic Handwritten Character Recognition El Khayati, I

Reference 26

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This paper cites Deep learning for visual understanding: A review,.

Leveraging Transfer Learning and Mobile-enabled Convolutional Neural Networks for Improved Arabic Handwritten Character Recognition Deep learning for visual understanding: A review,

Reference 27

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This paper cites Cnn based common approach to handwritten character recognition of multiple scripts,.

Leveraging Transfer Learning and Mobile-enabled Convolutional Neural Networks for Improved Arabic Handwritten Character Recognition Cnn based common approach to handwritten character recognition of multiple scripts,

Reference 28

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This paper cites Deep convolutional neural networks for computer-aided detection: Cnn architectures, dataset characteristics and transfer learning,.

Leveraging Transfer Learning and Mobile-enabled Convolutional Neural Networks for Improved Arabic Handwritten Character Recognition Deep convolutional neural networks for computer-aided detection: Cnn architectures, dataset characteristics and transfer learning,

Reference 29

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This paper cites Image character recognition using deep convolutional neural network learned from different languages,.

Leveraging Transfer Learning and Mobile-enabled Convolutional Neural Networks for Improved Arabic Handwritten Character Recognition Image character recognition using deep convolutional neural network learned from different languages,

Reference 30

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This paper cites Breathai: Transfer learning- based thermal imaging for automated breathing pattern recognition,.

Leveraging Transfer Learning and Mobile-enabled Convolutional Neural Networks for Improved Arabic Handwritten Character Recognition Breathai: Transfer learning- based thermal imaging for automated breathing pattern recognition,

Reference 31

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This paper cites Exploring 2d representation and transfer learning techniques for indoor localization,.

Leveraging Transfer Learning and Mobile-enabled Convolutional Neural Networks for Improved Arabic Handwritten Character Recognition Exploring 2d representation and transfer learning techniques for indoor localization,

Reference 32

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This paper cites Federated and transfer learning for cancer detection based on image analysis,.

Leveraging Transfer Learning and Mobile-enabled Convolutional Neural Networks for Improved Arabic Handwritten Character Recognition Federated and transfer learning for cancer detection based on image analysis,

Reference 33

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This paper cites Advancing 3d point cloud understanding through deep transfer learning: A comprehensive survey,.

Leveraging Transfer Learning and Mobile-enabled Convolutional Neural Networks for Improved Arabic Handwritten Character Recognition Advancing 3d point cloud understanding through deep transfer learning: A comprehensive survey,

Reference 34

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This paper cites Review of deep learning: concepts, cnn architectures, challenges, applications, future directions,.

Leveraging Transfer Learning and Mobile-enabled Convolutional Neural Networks for Improved Arabic Handwritten Character Recognition Review of deep learning: concepts, cnn architectures, challenges, applications, future directions,

Reference 35

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This paper cites Learning transferable features with deep adaptation networks,.

Leveraging Transfer Learning and Mobile-enabled Convolutional Neural Networks for Improved Arabic Handwritten Character Recognition Learning transferable features with deep adaptation networks,

Reference 36

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This paper cites Deep transfer learning with joint adaptation networks,.

Leveraging Transfer Learning and Mobile-enabled Convolutional Neural Networks for Improved Arabic Handwritten Character Recognition Deep transfer learning with joint adaptation networks,

Reference 37

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Leveraging Transfer Learning and Mobile-enabled Convolutional Neural Networks for Improved Arabic Handwritten Character Recognition Simultaneous deep transfer across domains and tasks,

Reference 38

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Leveraging Transfer Learning and Mobile-enabled Convolutional Neural Networks for Improved Arabic Handwritten Character Recognition Label efficient learning of transferable representations across domains and tasks,

Reference 39

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This paper cites A unified framework for metric transfer learning,.

Leveraging Transfer Learning and Mobile-enabled Convolutional Neural Networks for Improved Arabic Handwritten Character Recognition A unified framework for metric transfer learning,

Reference 40

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This paper cites Ensemble transfer learning algorithm,.

Leveraging Transfer Learning and Mobile-enabled Convolutional Neural Networks for Improved Arabic Handwritten Character Recognition Ensemble transfer learning algorithm,

Reference 41

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This paper cites Unsuper- vised transfer learning via multi-scale convolutional sparse coding for biomedical applications,.

Leveraging Transfer Learning and Mobile-enabled Convolutional Neural Networks for Improved Arabic Handwritten Character Recognition Unsuper- vised transfer learning via multi-scale convolutional sparse coding for biomedical applications,

Reference 42

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This paper cites How transferable are features in deep neural networks?,.

Leveraging Transfer Learning and Mobile-enabled Convolutional Neural Networks for Improved Arabic Handwritten Character Recognition How transferable are features in deep neural networks?,

Reference 43

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This paper cites Transfer learning to improve arabic handwriting text recognition.

Leveraging Transfer Learning and Mobile-enabled Convolutional Neural Networks for Improved Arabic Handwritten Character Recognition Transfer learning to improve arabic handwriting text recognition

Reference 44

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This paper cites A new arabic handwritten character recognition deep learning system (ahcr-dls),.

Leveraging Transfer Learning and Mobile-enabled Convolutional Neural Networks for Improved Arabic Handwritten Character Recognition A new arabic handwritten character recognition deep learning system (ahcr-dls),

Reference 45

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This paper cites Handwritten arabic character recognition for children writing using convolutional neu- ral network and stroke identification,.

Leveraging Transfer Learning and Mobile-enabled Convolutional Neural Networks for Improved Arabic Handwritten Character Recognition Handwritten arabic character recognition for children writing using convolutional neu- ral network and stroke identification,

Reference 46

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This paper cites An enhanced artificial learning framework for moving object detection in challenging video scenes,.

Leveraging Transfer Learning and Mobile-enabled Convolutional Neural Networks for Improved Arabic Handwritten Character Recognition An enhanced artificial learning framework for moving object detection in challenging video scenes,

Reference 47

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This paper cites Coatnet: Marrying convolution and attention for all data sizes,.

Leveraging Transfer Learning and Mobile-enabled Convolutional Neural Networks for Improved Arabic Handwritten Character Recognition Coatnet: Marrying convolution and attention for all data sizes,

Reference 48

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This paper cites Davit: Dual attention vision transformers,.

Leveraging Transfer Learning and Mobile-enabled Convolutional Neural Networks for Improved Arabic Handwritten Character Recognition Davit: Dual attention vision transformers,

Reference 49

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Observation 842b3f10-1c8e-46cc-9756-bc351912026e · outbound

This paper cites Squeezenet: Alexnet-level accuracy with 50x fewer parameters and <0.5mb model size,.

Leveraging Transfer Learning and Mobile-enabled Convolutional Neural Networks for Improved Arabic Handwritten Character Recognition Squeezenet: Alexnet-level accuracy with 50x fewer parameters and <0.5mb model size,

Reference 50

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Leveraging Transfer Learning and Mobile-enabled Convolutional Neural Networks for Improved Arabic Handwritten Character Recognition Searching for mobilenetv3,

Reference 51

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Leveraging Transfer Learning and Mobile-enabled Convolutional Neural Networks for Improved Arabic Handwritten Character Recognition Mnasnet: Platform-aware neural architecture search for mobile,

Reference 52

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Leveraging Transfer Learning and Mobile-enabled Convolutional Neural Networks for Improved Arabic Handwritten Character Recognition Shufflenet v2: Practical guidelines for efficient cnn architecture design,

Reference 53

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Leveraging Transfer Learning and Mobile-enabled Convolutional Neural Networks for Improved Arabic Handwritten Character Recognition Shufflenet: An extremely efficient convolutional neural network for mobile devices,

Reference 54

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Leveraging Transfer Learning and Mobile-enabled Convolutional Neural Networks for Improved Arabic Handwritten Character Recognition Mobilenets: Efficient convo- lutional neural networks for mobile vision applications,

Reference 55

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Leveraging Transfer Learning and Mobile-enabled Convolutional Neural Networks for Improved Arabic Handwritten Character Recognition Mo- bilenetv2: Inverted residuals and linear bottlenecks,

Reference 56

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This paper cites Hyperband: A novel bandit-based approach to hyperparameter opti- mization,.

Leveraging Transfer Learning and Mobile-enabled Convolutional Neural Networks for Improved Arabic Handwritten Character Recognition Hyperband: A novel bandit-based approach to hyperparameter opti- mization,

Reference 57

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