[HTML][HTML] A state-of-the-art survey on deep learning theory and architectures
In recent years, deep learning has garnered tremendous success in a variety of application
domains. This new field of machine learning has been growing rapidly and has been …
domains. This new field of machine learning has been growing rapidly and has been …
The history began from alexnet: A comprehensive survey on deep learning approaches
Deep learning has demonstrated tremendous success in variety of application domains in
the past few years. This new field of machine learning has been growing rapidly and applied …
the past few years. This new field of machine learning has been growing rapidly and applied …
Web traffic anomaly detection using C-LSTM neural networks
Web traffic refers to the amount of data that is sent and received by people visiting online
websites. Web traffic anomalies represent abnormal changes in time series traffic, and it is …
websites. Web traffic anomalies represent abnormal changes in time series traffic, and it is …
A review of automatic recognition technology for bird vocalizations in the deep learning era
Birds are considered critical indicators of ecosystem condition. Automatic recording devices
have emerged as a trending tool to assist field observations, contributing to biodiversity …
have emerged as a trending tool to assist field observations, contributing to biodiversity …
Large-scale weakly supervised audio classification using gated convolutional neural network
In this paper, we present a gated convolutional neural network and a temporal attention-
based localization method for audio classification, which won the 1st place in the large-scale …
based localization method for audio classification, which won the 1st place in the large-scale …
Sound event detection of weakly labelled data with cnn-transformer and automatic threshold optimization
Sound event detection (SED) is a task to detect sound events in an audio recording. One
challenge of the SED task is that many datasets such as the Detection and Classification of …
challenge of the SED task is that many datasets such as the Detection and Classification of …
HCP: Heterogeneous computing platform for federated learning based collaborative content caching towards 6G networks
ZM Fadlullah, N Kato - IEEE Transactions on Emerging Topics …, 2020 - ieeexplore.ieee.org
A heterogeneous computing architecture is essential to facilitate intelligent network traffic
control for a joint computation, communication, and collaborative caching optimization in 6G …
control for a joint computation, communication, and collaborative caching optimization in 6G …
[HTML][HTML] Automated audio captioning: An overview of recent progress and new challenges
Automated audio captioning is a cross-modal translation task that aims to generate natural
language descriptions for given audio clips. This task has received increasing attention with …
language descriptions for given audio clips. This task has received increasing attention with …
Self supervised adversarial domain adaptation for cross-corpus and cross-language speech emotion recognition
Despite the recent advancement in speech emotion recognition (SER) within a single corpus
setting, the performance of these SER systems degrades significantly for cross-corpus and …
setting, the performance of these SER systems degrades significantly for cross-corpus and …
Polyphonic sound event detection and localization using a two-stage strategy
Sound event detection (SED) and localization refer to recognizing sound events and
estimating their spatial and temporal locations. Using neural networks has become the …
estimating their spatial and temporal locations. Using neural networks has become the …