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Ulzhan Bissarinova, Aidana Tleuken, Sofiya Alimukhambetova, Huseyin Atakan Varol and Ferhat Karaca
This paper introduces a deep learning (DL) tool capable of classifying cities and revealing the features that characterize each city from a visual perspective. The study utilizes city view data captured from satellites and employs a methodology involving...
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Xuesong Jin, Huiyuan Sun and Yuhang Zhang
This research is based on an intra-frame rate control algorithm based on the Versatile Video Coding (VVC) standard, considering that there is the phenomenon of over-allocating the bitrate of the end coding tree units (CTUs) in the bit allocation process,...
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Sharoug Alzaidy and Hamad Binsalleeh
In the field of behavioral detection, deep learning has been extensively utilized. For example, deep learning models have been utilized to detect and classify malware. Deep learning, however, has vulnerabilities that can be exploited with crafted inputs,...
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Yuhuan Wu and Yonghong Wu
Salient object detection (SOD) aims to identify the most visually striking objects in a scene, simulating the function of the biological visual attention system. The attention mechanism in deep learning is commonly used as an enhancement strategy which e...
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Ming-Ru Xie, Shing-Yun Jung and Kuan-Wen Chen
In this paper, we propose a three-dimensional autonomous drone exploration system (ADES) with a lightweight and low-latency saliency prediction model to explore unknown environments. Several studies have applied saliency prediction in drone exploration. ...
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Abdorreza Alavigharahbagh, Vahid Hajihashemi, José J. M. Machado and João Manuel R. S. Tavares
In this article, a hierarchical method for action recognition based on temporal and spatial features is proposed. In current HAR methods, camera movement, sensor movement, sudden scene changes, and scene movement can increase motion feature errors and de...
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Zhichao Peng, Wenhua He, Yongwei Li, Yegang Du and Jianwu Dang
Speech emotion recognition is a critical component for achieving natural human?robot interaction. The modulation-filtered cochleagram is a feature based on auditory modulation perception, which contains multi-dimensional spectral?temporal modulation repr...
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Songyuan Li, Hao Zeng, Huanyu Wang and Xi Li
Salient Object Detection (SOD) aims at identifying the most visually distinctive objects in a scene. However, learning a mapping directly from a raw image to its corresponding saliency map is still challenging. First, the binary annotations of SOD impede...
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Yoshinari Motokawa and Toshiharu Sugawara
In this paper, we propose an enhanced version of the distributed attentional actor architecture (eDA3-X) for model-free reinforcement learning. This architecture is designed to facilitate the interpretability of learned coordinated behaviors in multi-age...
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Abba Mahmud, Stephen O. Ogunlana, W.T. Hong, Ibrahim Wuni Yahaya, Sani Rueben Akoh
Qualitative data plays an important role in system dynamics (SD) modelling, particularly in model conceptualization. Among the various forms of data, information from the mental database of stakeholders is considered the most important which can be acces...
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