Results 31 to 40 of about 418,704 (219)
Artificial Intelligence in Surgery: Neural Networks and Deep Learning
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
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
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]
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
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]
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
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
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
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
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

