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FSC-Set: Counting, Localization of Football Supporters Crowd in the Stadiums
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Institute of Electrical and Electronics Engineers Inc.
, 2022 , Article)
Counting the number of people in a crowd has gained attention in the last decade. Due to its benefit to many applications such as crowd behavior analysis, crowd management, and video surveillance systems, etc. Counting ...
Deep Reinforcement Learning for Network Selection over Heterogeneous Health Systems
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IEEE Computer Society
, 2022 , Article)
Smart health systems improve our quality oflife by integrating diverse information and technologies into health and medical practices. Such technologies can significantly improve the existing health services. However, ...
Communication-efficient hierarchical federated learning for IoT heterogeneous systems with imbalanced data
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Elsevier B.V.
, 2022 , Article)
Federated Learning (FL) is a distributed learning methodology that allows multiple nodes to cooperatively train a deep learning model, without the need to share their local data. It is a promising solution for telemonitoring ...
BEMD-3DCNN-based method for COVID-19 detection
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Elsevier Ltd
, 2022 , Article)
The coronavirus outbreak continues to spread around the world and no one knows when it will stop. Therefore, from the first day of the identification of the virus in Wuhan, China, scientists have launched numerous research ...
A New Forensic Video Database for Source Smartphone Identification: Description and Analysis
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Institute of Electrical and Electronics Engineers Inc.
, 2022 , Article)
In recent years, the field of digital imaging has made significant progress, so that today every smartphone has a built-in video camera that allows you to record high-quality video for free and without restrictions. On the ...
A review of deep learning-based detection methods for COVID-19
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Elsevier Ltd
, 2022 , Article)
COVID-19 is a fast-spreading pandemic, and early detection is crucial for stopping the spread of infection. Lung images are used in the detection of coronavirus infection. Chest X-ray (CXR) and computed tomography (CT) ...
Attention-Based Model for Accurate Stance Detection
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Springer Science and Business Media Deutschland GmbH
, 2022 , Conference Paper)
Effective representation learning is an essential building block for achieving many natural language processing tasks such as stance detection as performed implicitly by humans. Stance detection can assist in understanding ...
A CNN-Sequence-to-Sequence network with attention for residential short-term load forecasting
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Elsevier
, 2022 , Article)
Residential short-term load forecasting has become an essential process to develop successful demand response strategies, and help utilities and customers optimize energy production and consumption. Most previous works ...
Empathy and Persona of English vs. Arabic Chatbots: A Survey and Future Directions
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Springer Science and Business Media Deutschland GmbH
, 2022 , Conference Paper)
There is a high demand for chatbots across a wide range of sectors. Human-like chatbots engage meaningfully in dialogues while interpreting and expressing emotions and being consistent through understanding the user's ...
PRNU-Net: a Deep Learning Approach for Source Camera Model Identification based on Videos Taken with Smartphone
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Institute of Electrical and Electronics Engineers Inc.
, 2022 , Conference Paper)
Recent advances in digital imaging have meant that every smartphone has a video camera that can record high-quality video for free and without restrictions. In addition, rapidly developing Internet technology has contributed ...