Results 31 to 40 of about 418,704 (219)

Artificial Intelligence in Surgery: Neural Networks and Deep Learning

open access: yes, 2020
Deep neural networks power most recent successes of artificial intelligence, spanning from self-driving cars to computer aided diagnosis in radiology and pathology. The high-stake data intensive process of surgery could highly benefit from such computational methods.
Alapatt, Deepak   +3 more
openaire   +2 more sources

A Novel Deep Learning Approach With Data Augmentation to Classify Motor Imagery Signals

open access: yesIEEE Access, 2019
Brain-computer interface provides a new communication bridge between the human mind and devices, depending largely on the accurate classification and identification of non-invasive EEG signals. Recently, the deep learning approaches have been widely used
Zhiwen Zhang   +6 more
doaj   +1 more source

Deep learning in bladder cancer imaging: A review

open access: yesFrontiers in Oncology, 2022
Deep learning (DL) is a rapidly developing field in machine learning (ML). The concept of deep learning originates from research on artificial neural networks and is an upgrade of traditional neural networks.
Mingyang Li   +3 more
doaj   +1 more source

Are Deep Learning Approaches Suitable for Natural Language Processing? [PDF]

open access: yes, 2016
In recent years, Deep Learning (DL) techniques have gained much at-tention from Artificial Intelligence (AI) and Natural Language Processing (NLP) research communities because these approaches can often learn features from data without the need for human
Alshahrani, S.   +3 more
core   +1 more source

Neurogenesis Deep Learning

open access: yes, 2017
Neural machine learning methods, such as deep neural networks (DNN), have achieved remarkable success in a number of complex data processing tasks. These methods have arguably had their strongest impact on tasks such as image and audio processing - data ...
Aimone, James B.   +8 more
core   +1 more source

Building Program Vector Representations for Deep Learning [PDF]

open access: yes, 2014
Deep learning has made significant breakthroughs in various fields of artificial intelligence. Advantages of deep learning include the ability to capture highly complicated features, weak involvement of human engineering, etc.
Jin, Zhi   +6 more
core   +1 more source

Artificial intelligence used in genome analysis studies

open access: yesThe EuroBiotech Journal, 2018
Next Generation Sequencing (NGS) or deep sequencing technology enables parallel reading of multiple individual DNA fragments, thereby enabling the identification of millions of base pairs in several hours.
D’Agaro Edo
doaj   +1 more source

Review of dynamic gesture recognition

open access: yesVirtual Reality & Intelligent Hardware, 2021
In recent years, gesture recognition has been widely used in the fields of intelligent driving, virtual reality, and human-computer interaction. With the development of artificial intelligence, deep learning has achieved remarkable success in computer ...
Yuanyuan SHI   +4 more
doaj   +1 more source

Deep Learning in Robotics: A Review of Recent Research

open access: yes, 2017
Advances in deep learning over the last decade have led to a flurry of research in the application of deep artificial neural networks to robotic systems, with at least thirty papers published on the subject between 2014 and the present.
Gashler, Michael S., Pierson, Harry A.
core   +1 more source

Artificial intelligence in surgical pathology

open access: yesJournal of Pathology of Nepal, 2019
Artificial intelligence (AI) is machine intelligence that mimics human cognitive function. It denotes the intelligence presented by some artificial entities including computers and robots.
Gopi Aryal
doaj   +1 more source

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