Zobrazeno 1 - 10
of 6 563
pro vyhledávání: '"convolutional block attention module (cbam)"'
Publikováno v:
IEEE Access, Vol 12, Pp 25888-25905 (2024)
Ground Penetrating Radar (GPR) is an effective non-destructive detection method, that is frequently utilized in the detection of urban underground defects because of its quick speed, convenient and flexible operation, and high resolution. However, th
Externí odkaz:
https://doaj.org/article/5c0adab3434c42bda6af3b4302bc8b2f
Akademický článek
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Publikováno v:
IEEE Access, Vol 12, Pp 41798-41800 (2024)
In the above article [1], inaccuracies are present in the naming and corresponding explanation of a concept. Upon careful review and analysis, we have identified inaccuracies in the definition and naming of a specific concept within the article. Duri
Externí odkaz:
https://doaj.org/article/35392d78966c494b88ea3b999b7963bd
Autor:
Chang, Lena1,2 (AUTHOR) lenachang@mail.ntou.edu.tw, Chen, Yi-Ting3 (AUTHOR) 20953003@mail.ntou.edu.tw, Cheng, Ching-Min4 (AUTHOR) cmc0729@cht.com.tw, Chang, Yang-Lang5 (AUTHOR) ylchang@mail.ntut.edu.tw, Ma, Shang-Chih5 (AUTHOR) scma@ntut.edu.tw
Publikováno v:
Sensors (14248220). Oct2024, Vol. 24 Issue 20, p6768. 21p.
Akademický článek
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Publikováno v:
Jin'gangshi yu moliao moju gongcheng, Vol 44, Iss 5, Pp 588-598 (2024)
Objectives: With the improvement of production technology, the traditional diamond particle cleanliness detection method can no longer meet the requirements of high precision, high quality and high automation in the diamond industry due to its low ef
Externí odkaz:
https://doaj.org/article/bb9a74c9d06d4de9beb6f83c31214f95
Autor:
Zhang, Danwen1 (AUTHOR) 2021023963@qdu.edu.cn, Lu, Linjun1 (AUTHOR) 2021020719@qdu.edu.cn, Li, Xuan1 (AUTHOR) 2021023967@qdu.edu.cn, Zhang, Jiahua1,2 (AUTHOR) zhangjh@radi.ac.cn, Zhang, Sha1 (AUTHOR) zhangsha@qdu.edu.cn, Yang, Shanshan1 (AUTHOR) yangss@qdu.edu.cn
Publikováno v:
Remote Sensing. Apr2024, Vol. 16 Issue 8, p1394. 27p.
Autor:
Wang, Hongqiao1 (AUTHOR) whq@nwpu.edu.cn, Yu, Guoqing2 (AUTHOR) yuguoqing@mail.nwpu.edu.cn, Cheng, Jinyu3 (AUTHOR) l_z_dect@mail.nwpu.edu.cn, Zhang, Zhaoxiang1 (AUTHOR) wangxuan@nwpu.edu.cn, Wang, Xuan1 (AUTHOR) xuyuelei@nwpu.edu.cn, Xu, Yuelei1 (AUTHOR)
Publikováno v:
Remote Sensing. Oct2024, Vol. 16 Issue 20, p3782. 17p.
Autor:
Mohammed Zakariah, Abeer Alnuaim
Publikováno v:
Egyptian Informatics Journal, Vol 27, Iss , Pp 100536- (2024)
Human Activity Recognition (HAR) is crucial for the advancement of applications in smart environments, communication, IoT, security, and healthcare monitoring. Convolutional neural networks (CNNs) have made substantial contributions to human activity
Externí odkaz:
https://doaj.org/article/8fff162838174ba6868b28234382bd44