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A review on big data based on deep neural network approaches
Big data analytics has become a significant trend for many businesses as a result of the
daily acquisition of enormous volumes of data. This information has been gathered because …
daily acquisition of enormous volumes of data. This information has been gathered because …
A mini-review of machine learning in big data analytics: Applications, challenges, and prospects
The availability of digital technology in the hands of every citizenry worldwide makes an
available unprecedented massive amount of data. The capability to process these gigantic …
available unprecedented massive amount of data. The capability to process these gigantic …
Flight trajectory prediction enabled by time-frequency wavelet transform
Accurate flight trajectory prediction is a crucial and challenging task in air traffic control,
especially for maneuver operations. Modern data-driven methods are typically formulated as …
especially for maneuver operations. Modern data-driven methods are typically formulated as …
Efficient automated disease diagnosis using machine learning models
Recently, many researchers have designed various automated diagnosis models using
various supervised learning models. An early diagnosis of disease may control the death …
various supervised learning models. An early diagnosis of disease may control the death …
[HTML][HTML] Machine learning and mixed reality for smart aviation: Applications and challenges
Y Jiang, TH Tran, L Williams - Journal of Air Transport Management, 2023 - Elsevier
The aviation industry is a dynamic and ever-evolving sector. As technology advances and
becomes more sophisticated, the aviation industry must keep up with the changing trends …
becomes more sophisticated, the aviation industry must keep up with the changing trends …
Research on the natural language recognition method based on cluster analysis using neural network
Withthe technological advent, the clustering phenomenon is recently being used in various
domains and in natural language recognition. This article contributes to the clustering …
domains and in natural language recognition. This article contributes to the clustering …
Complex-valued networks for automatic modulation classification
Deep learning (DL) has been recognized as an effective solution for automatic modulation
classification (AMC). However, most recent DL based AMC works are based on real-valued …
classification (AMC). However, most recent DL based AMC works are based on real-valued …
LightAMC: Lightweight automatic modulation classification via deep learning and compressive sensing
Automatic modulation classification (AMC) is an promising technology for non-cooperative
communication systems in both military and civilian scenarios. Recently, deep learning (DL) …
communication systems in both military and civilian scenarios. Recently, deep learning (DL) …
A CNN-LSTM framework for flight delay prediction
Q Li, X Guan, J Liu - Expert Systems with Applications, 2023 - Elsevier
Flight delay prediction has become one of the most critical topics in intelligent aviation
systems due to its essential role in flight scheduling, airline planning, and airport operation …
systems due to its essential role in flight scheduling, airline planning, and airport operation …
Vehicle assisted computing offloading for unmanned aerial vehicles in smart city
Smart city emerges a promising paradigm for improving operational efficiency of city and
comfort of people. With embedded multi-sensors, Unmanned Aerial Vehicles (UAVs) hold …
comfort of people. With embedded multi-sensors, Unmanned Aerial Vehicles (UAVs) hold …