Deep learning sensor fusion for autonomous vehicle perception and localization: A review
Autonomous vehicles (AV) are expected to improve, reshape, and revolutionize the future of
ground transportation. It is anticipated that ordinary vehicles will one day be replaced with …
ground transportation. It is anticipated that ordinary vehicles will one day be replaced with …
Indic script family and its offline handwriting recognition for characters/digits and words: a comprehensive survey
S Singh, A Sharma, VK Chauhan - Artificial Intelligence Review, 2023 - Springer
Handwriting recognition has become an active area of research in pattern recognition and
machine learning in recent years. Handwriting recognition systems have a variety of …
machine learning in recent years. Handwriting recognition systems have a variety of …
Forecasting exchange rate using deep belief networks and conjugate gradient method
F Shen, J Chao, J Zhao - Neurocomputing, 2015 - Elsevier
Forecasting exchange rates is an important financial problem. In this paper, an improved
deep belief network (DBN) is proposed for forecasting exchange rates. By using continuous …
deep belief network (DBN) is proposed for forecasting exchange rates. By using continuous …
Daily reservoir inflow forecasting using multiscale deep feature learning with hybrid models
Inflow forecasting applies data supports for the operations and managements of reservoirs.
A multiscale deep feature learning (MDFL) method with hybrid models is proposed in this …
A multiscale deep feature learning (MDFL) method with hybrid models is proposed in this …
Deep belief echo-state network and its application to time series prediction
X Sun, T Li, Q Li, Y Huang, Y Li - Knowledge-Based Systems, 2017 - Elsevier
Deep belief network (DBN) has attracted many attentions in time series prediction. However,
the DBN-based methods fail to provide favorable prediction results due to the congenital …
the DBN-based methods fail to provide favorable prediction results due to the congenital …
Bangla handwritten digit recognition using autoencoder and deep convolutional neural network
M Shopon, N Mohammed… - … International Workshop on …, 2016 - ieeexplore.ieee.org
Handwritten digit recognition is a typical image classification problem. Convolutional neural
networks, also known as ConvNets, are powerful classification models for such tasks. As …
networks, also known as ConvNets, are powerful classification models for such tasks. As …
Bangla natural language processing: A comprehensive analysis of classical, machine learning, and deep learning-based methods
The Bangla language is the seventh most spoken language, with 265 million native and non-
native speakers worldwide. However, English is the predominant language for online …
native speakers worldwide. However, English is the predominant language for online …
Deep belief network based statistical feature learning for fingerprint liveness detection
Fingerprint recognition systems are vulnerable to impersonation by fake or spoof
fingerprints. Fingerprint liveness detection is a step to ensure whether a scanned fingerprint …
fingerprints. Fingerprint liveness detection is a step to ensure whether a scanned fingerprint …
Performance analysis of state of the art convolutional neural network architectures in Bangla handwritten character recognition
Bangla handwritten character recognition is a popular research topic as its difficulty is higher
than the recognition of other languages because of multiple formats of compound …
than the recognition of other languages because of multiple formats of compound …
Deep feature learning architectures for daily reservoir inflow forecasting
Inflow forecasting applies data supports for the operations and managements of reservoirs.
To better accommodate the sophisticated characteristics of the daily reservoir inflow, two …
To better accommodate the sophisticated characteristics of the daily reservoir inflow, two …