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Mingyoung Jeng, Alvir Nobel, Vinayak Jha, David Levy, Dylan Kneidel, Manu Chaudhary, Ishraq Islam, Evan Baumgartner, Eade Vanderhoof, Audrey Facer, Manish Singh, Abina Arshad and Esam El-Araby
Convolutional neural networks (CNNs) have proven to be a very efficient class of machine learning (ML) architectures for handling multidimensional data by maintaining data locality, especially in the field of computer vision. Data pooling, a major compon...
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Xingchen Xu, Xingguang Geng, Zhixing Gao, Hao Yang, Zhiwei Dai and Haiying Zhang
The accurate localization of S1 and S2 is essential for heart sound segmentation and classification. However, current direct heart sound segmentation algorithms have poor noise immunity and low accuracy. Therefore, this paper proposes a new optimal heart...
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Adel Soudani, Manal Alsabhan and Manan Almusallam
A growing number of services and applications are developed using multimedia sensing low-cost wireless devices, thus creating the Internet of Multimedia Things (IoMT). Nevertheless, energy efficiency and resource availability are two of the most challeng...
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Faisal Dharma Adhinata,Diovianto Putra Rakhmadani,Danur Wijayanto
Pág. 22 - 30
Background: The COVID-19 pandemic has made people spend more time on online meetings more than ever. The prolonged time looking at the monitor may cause fatigue, which can subsequently impact the mental and physical health. A fatigue detection system is ...
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Ibrahim Furkan Ince
Human activity recognition (HAR) has been an active area in computer vision with a broad range of applications, such as education, security surveillance, and healthcare. HAR is a general time series classification problem. LSTMs are widely used for time ...
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Rune Michaelis, H. Christian Hass, Svenja Papenmeier and Karen H. Wiltshire
Stony grounds form important habitats in the marine environment, especially for sessile benthic organisms. For the purpose of habitat demarcation and monitoring, knowledge of the position and abundance of individual stones is necessary. This is especiall...
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Charikleia Gournia, Elias Fakiris, Maria Geraga, David P. Williams and George Papatheodorou
Bottom trawl footprints are a prominent environmental impact of deep-sea fishery that was revealed through the evolution of underwater remote sensing technologies. Image processing techniques have been widely applied in acoustic remote sensing, but accur...
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Liu Shuai, Liu Yuanning, Zhu Xiaodong, Zhang Kuo, Ding Tong, Li Xinlong and Wang Chaoqun
Aimed at the one-to-one certification problem of unsteady state iris at different shooting times, a multi-algorithm parallel integration general model structure is proposed in this paper. The iris in the lightweight constrained state affected by defocusi...
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Shi-Xian Yan, Peng-Fei Zhao, Xin-Yu Gao, Qiao Zhou, Jin-Hai Li, Jie-Peng Yao, Zhi-Qiang Chai, Yang Yue, Zhong-Yi Wang and Lan Huang
Microscopic object recognition and analysis is very important in micromanipulation. Micromanipulation has been extensively used in many fields, e.g., micro-assembly operation, microsurgery, agriculture, and biological research. Conducting micro-object re...
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Wenzhang Zhou, Yong Chen and Siyuan Liang
If the circular holes of an engine cylinder head are distorted, cracked, defective, etc., the normal running of the equipment will be affected. For detecting these faults with high accuracy, this paper proposes a detection method based on feature point m...
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