A review of deep learning with special emphasis on architectures, applications and recent trends
Deep learning (DL) has solved a problem that a few years ago was thought to be intractable—
the automatic recognition of patterns in spatial and temporal data with an accuracy superior …
the automatic recognition of patterns in spatial and temporal data with an accuracy superior …
An analytical study of information extraction from unstructured and multidimensional big data
Process of information extraction (IE) is used to extract useful information from unstructured
or semi-structured data. Big data arise new challenges for IE techniques with the rapid …
or semi-structured data. Big data arise new challenges for IE techniques with the rapid …
Edge intelligence: Empowering intelligence to the edge of network
Edge intelligence refers to a set of connected systems and devices for data collection,
caching, processing, and analysis proximity to where data are captured based on artificial …
caching, processing, and analysis proximity to where data are captured based on artificial …
Residential load forecasting based on LSTM fusing self-attention mechanism with pooling
Day-ahead residential load forecasting is crucial for electricity dispatch and demand
response in power systems. Electrical loads are characterized by volatility and uncertainty …
response in power systems. Electrical loads are characterized by volatility and uncertainty …
The nexus between big data and decision-making: A study of big data techniques and technologies
Big Data (BD) has shifted the paradigm of conventional data analysis with the exploitation of
emerging technologies. Analysis using BD contributes to foreseeing and pulling out value …
emerging technologies. Analysis using BD contributes to foreseeing and pulling out value …
Smart agriculture–Urgent need of the day in developing countries
Smart agriculture is based primarily on three platforms, namely science, innovation and
space technologies. These are considered as the three pioneer pillars of nation building …
space technologies. These are considered as the three pioneer pillars of nation building …
Convolutional neural network in intelligent fault diagnosis toward rotatory machinery
S Tang, S Yuan, Y Zhu - IEEE Access, 2020 - ieeexplore.ieee.org
Rotating machinery is of vital importance in the field of engineering, including aviation and
navigation. Its failure will lead to severe loss to personnel safety and the stability of the …
navigation. Its failure will lead to severe loss to personnel safety and the stability of the …
Anomaly detection framework for Internet of things traffic using vector convolutional deep learning approach in fog environment
BA NG, S Selvakumar - Future Generation Computer Systems, 2020 - Elsevier
The proliferation of Internet of things (IoT) devices has lured hackers to launch attacks.
Therefore, anomalies in IoT traffic must be detected to mitigate these attacks and protect …
Therefore, anomalies in IoT traffic must be detected to mitigate these attacks and protect …
New and emerging forms of data and technologies: Literature and bibliometric review
P Radanliev, D De Roure - Multimedia Tools and Applications, 2023 - Springer
With the increased digitalisation of our society, new and emerging forms of data present new
values and opportunities for improved data driven multimedia services, or even new …
values and opportunities for improved data driven multimedia services, or even new …
A holistic review of cybersecurity and reliability perspectives in smart airports
Advances in the Internet of Things (IoT) and aviation sector have resulted in the emergence
of smart airports. Services and systems powered by the IoT enable smart airports to have …
of smart airports. Services and systems powered by the IoT enable smart airports to have …