Comparative study for machine learning classifier recommendation to predict political affiliation based on online reviews
In the current era of social media, different platforms such as Twitter and Facebook have frequently been used by leaders and the followers of political parties to participate in political events, campaigns, and elections. The acquisition, ...
Performance evaluation of deep neural networks for forecasting time‐series with multiple structural breaks and high volatility
The problem of automatic and accurate forecasting of time‐series data has always been an interesting challenge for the machine learning and forecasting community. A majority of the real‐world time‐series problems have non‐stationary ...
SDN‐based intrusion detection system for IoT using deep learning classifier (IDSIoT‐SDL)
The participation of ordinary devices in networking has created a world of connected devices rapidly. The Internet of Things (IoT) includes heterogeneous devices from every field. There are no definite protocols or standards for IoT communication, ...
Acoustic detection of unknown bird species and individuals
Computational bioacoustics is a relatively young research area, yet it has increasingly received attention over the last decade because it can be used in a wide range of applications in a cost‐effective manner. This work focuses on the problem of ...
Attention‐based novel neural network for mixed frequency data
It is a common fact that data (features, characteristics or variables) are collected at different sampling frequencies in some fields such as economic and industry. The existing methods usually either ignore the difference from the different ...
Accurate detection method of pig's temperature based on non‐point source thermal infrared image
- Zaiqin Zhang,
- Hao Wang,
- Tonghai Liu,
- Yueqiang Wang,
- Hang Zhang,
- Feiyan Yuan,
- Xue Yang,
- Shunlai Xu,
- Yuhuan Meng
Body temperature measurement is a very important task in the sow breeding process. The authors used an infrared camera to detect the temperature of the body surface of the sows, relying on calculating the average of the infrared image temperature ...
Consistent image processing based on co‐saliency
In a group of images, the recurrent foreground objects are considered as the key objects in the group of images. In co‐saliency detection, these are described as common saliency objects. The aim is to be able to naturally guide the user's gaze to ...
Relating brain structure images to personality characteristics using 3D convolution neural network
The Keras deep learning framework is employed to study MRI brain data in a preliminary analysis of brain structure using a convolutional neural network. The results obtained are matched with the content of personality questionnaires. The Big Five ...
Optimized viewport‐adaptive 360‐degree video streaming
Because of the rapid growth of head‐mounted displays and 5G networking deployment, 360‐degree video has become increasingly popular. To generate the real experience of a virtual environment, 360‐degree videos require an ultrahigh resolution and ...
Contrast of multi‐resolution analysis approach to transhumeral phantom motion decoding
In signal processing, multiresolution decomposition techniques allow for the separation of an acquired signal into sub levels, where the optimal level within the signal minimises redundancy, uncertainties, and contains the information required for ...
