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A Deep Learning Approach for Efficient Palm Reading

2020 International Conference on Technologies and Applications of Artificial Intelligence (TAAI), 2020
Palmistry or palm reading is the art of foretelling and characterizing persons through the study of palm lines and patterns. However, this field is still not much technically developed and a palmist has to analyze palms personally and manually. In this paper, we have proposed a deep learning approach to automatically detect patterns inside palm images.
Suvajit Acharjee   +2 more
openaire   +2 more sources

Image Recognition and Reading of Single Pointer Meter Based on Deep Learning

IEEE Sensors Journal
With the development of smart grid, meter reading based on machine vision is gradually replacing manual meter reading. In substations or some industrial scenes, the environment of the meter is relatively harsh, and it is often affected by different ...
Hua-Hao Fan, Yuan Li
semanticscholar   +1 more source

Reading for Details in Online and Printed Text: A Prerequisite for Deep Reading

Middle School Journal, 2011
(2011). Reading for Details in Online and Printed Text: A Prerequisite for Deep Reading. Middle School Journal: Vol. 42, Listening and Responding to Young Adolescents, pp. 58-63.
D. Fisher, D. Lapp, K. Wood
semanticscholar   +2 more sources

Deep Dyslexia Is Right-Hemisphere Reading

Brain and Language, 2000
Two views exist concerning the proper interpretation of the form of acquired dyslexia known as deep dyslexia: (a) that it represents reading by a multiply damaged left hemisphere reading system; (b) that it represents reading which relies extensively on right-hemisphere orthographic and semantic processing. Price, Howard, Patterson, Warburton, Friston,
openaire   +2 more sources

Clinical usefulness of a deep learning‐based system as the first screening on small‐bowel capsule endoscopy reading

Digestive Endoscopy, 2019
To examine whether our convolutional neural network (CNN) system based on deep learning can reduce the reading time of endoscopists without oversight of abnormalities in the capsule‐endoscopy reading process.
Tomonori Aoki   +18 more
semanticscholar   +1 more source

Lip-Reading Based on Deep Learning Model

2019
With the rapid development of computer computing power, deep learning plays a more and more important role in the fields of automatic driving, medical research, industrial automation and so on. In order to improve the accuracy of lip-reading recognition, an algorithm based on the model of lip deep learning was proposed in this paper.
Meili Zhu, Qingqing Wang, Jianglin Luo
openaire   +1 more source

Gaze-based predictive models of deep reading comprehension

User modeling and user-adapted interaction, 2022
Rosy Southwell   +3 more
semanticscholar   +1 more source

Right-hemisphere reading in a case of developmental deep dyslexia

Quarterly Journal of Experimental Psychology, 2007
The right-hemisphere hypothesis of deep dyslexia has received support from functional imaging studies of acquired deep dyslexia following damage to the left cerebral hemisphere, but no imaging studies of cases of developmental deep dyslexia, in which brain damage is not suspected, have been reported. In this paper, we report the first evidence of right
Funnell, Elaine   +3 more
openaire   +3 more sources

Chapter Two Deep Reading and the Space of the Classroom

2011
The West Side experiment helped to formulate the strong belief anchoring this book that natural language and linguistic narrative are central to human identity and purpose and that language and story should remain the primary focus for educational development and pedagogical activity in the 21st-century classroom.
Robert P. Waxler, Maureen P. Hall
openaire   +1 more source

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