[HTML][HTML] A survey on the application of recurrent neural networks to statistical language modeling
In this paper, we present a survey on the application of recurrent neural networks to the task
of statistical language modeling. Although it has been shown that these models obtain good …
of statistical language modeling. Although it has been shown that these models obtain good …
A comprehensive survey on automatic speech recognition using neural networks
AS Dhanjal, W Singh - Multimedia Tools and Applications, 2024 - Springer
The continuous development in Automatic Speech Recognition has grown and
demonstrated its enormous potential in Human Interaction Communication systems. It is …
demonstrated its enormous potential in Human Interaction Communication systems. It is …
Deep learning code fragments for code clone detection
Code clone detection is an important problem for software maintenance and evolution. Many
approaches consider either structure or identifiers, but none of the existing detection …
approaches consider either structure or identifiers, but none of the existing detection …
Toward deep learning software repositories
M White, C Vendome… - 2015 IEEE/ACM 12th …, 2015 - ieeexplore.ieee.org
Deep learning subsumes algorithms that automatically learn compositional representations.
The ability of these models to generalize well has ushered in tremendous advances in many …
The ability of these models to generalize well has ushered in tremendous advances in many …
Speech recognition apparatus and method
JH Lee - US Patent 10,606,947, 2020 - Google Patents
US10606947B2 - Speech recognition apparatus and method - Google Patents US10606947B2
- Speech recognition apparatus and method - Google Patents Speech recognition apparatus …
- Speech recognition apparatus and method - Google Patents Speech recognition apparatus …
Heating load prediction based on attention long short term memory: A case study of Xingtai
G Xue, C Qi, H Li, X Kong, J Song - Energy, 2020 - Elsevier
An accurate heating load prediction algorithm can play an important role in smart district
heating systems (SDHS), which is helpful for realizing on-demand heating and fine control …
heating systems (SDHS), which is helpful for realizing on-demand heating and fine control …
Fall prediction based on biomechanics equilibrium using Kinect
X Tao, Z Yun - International Journal of Distributed Sensor …, 2017 - journals.sagepub.com
The fall is one of the most important research fields of solitary elder healthcare at home
based on Internet of Things technology. Current studies mainly focus on the fall detection …
based on Internet of Things technology. Current studies mainly focus on the fall detection …
Rail defect detection method based on recurrent neural network
Q Xu, Q Zhao, G Yu, L Wang… - 2020 39th Chinese …, 2020 - ieeexplore.ieee.org
At present, there are some problems of low efficiency, heavy workload and low accuracy in
the manual detection data of rail defect detection vehicle. According to the characteristics of …
the manual detection data of rail defect detection vehicle. According to the characteristics of …
Clustering is efficient for approximate maximum inner product search
Efficient Maximum Inner Product Search (MIPS) is an important task that has a wide
applicability in recommendation systems and classification with a large number of classes …
applicability in recommendation systems and classification with a large number of classes …
Neural hidden Markov model for machine translation
Attention-based neural machine translation (NMT) models selectively focus on specific
source positions to produce a translation, which brings significant improvements over pure …
source positions to produce a translation, which brings significant improvements over pure …