Zobrazeno 1 - 10
of 77
pro vyhledávání: '"resnest"'
Publikováno v:
Journal of Integrative Agriculture, Vol 23, Iss 10, Pp 3554-3575 (2024)
Banana is a significant crop, and three banana leaf diseases, including Sigatoka, Cordana and Pestalotiopsis, have the potential to have a serious impact on banana production. Existing studies are insufficient to provide a reliable method for accurat
Externí odkaz:
https://doaj.org/article/e9986e8747314bdcbf25d4f85bed0fb8
Publikováno v:
Frontiers in Energy Research, Vol 12 (2024)
Single-phase grounding fault is the most common fault type in the distribution network. An accurate and effective single-phase grounding fault identification method is a prerequisite for maintaining the safe and stable operation of the power grid. Mo
Externí odkaz:
https://doaj.org/article/88f5d5cfb6b84dcd898f85839570c0bc
Publikováno v:
智慧农业, Vol 6, Iss 2, Pp 95-106 (2024)
ObjectiveThere's a growing demand among plant cultivators and breeders for efficient methods to acquire plant phenotypic traits at high throughput, facilitating the establishment of mappings from phenotypes to genotypes. By integrating mobile phenoty
Externí odkaz:
https://doaj.org/article/44e985a118ec489d944b0da2a702bd9b
Publikováno v:
Agriculture, Vol 14, Iss 10, p 1780 (2024)
Corn is one of the global staple grains and the largest grain crop in China. During harvesting, grain separation, and corn production, corn is susceptible to mechanical damage including surface cracks, internal cracks, and breakage. However, the inte
Externí odkaz:
https://doaj.org/article/6fad1bef3bb64b1884ea6c5199df4a0c
Autor:
Ridha Ilyas Bendjillali, Mohammed Sofiane Bendelhoum, Ali Abderrazak Tadjeddine, Miloud Kamline
Publikováno v:
Journal of Telecommunications and Information Technology, Vol 4, Iss 4 (2023)
In this study, a ResNeSt-based deep learning approach to beamforming for 5G massive multiple-input multiple-output (MIMO) systems is presented. The ResNeSt-based deep learning method is harnessed to simplify and optimize the beamforming process, cons
Externí odkaz:
https://doaj.org/article/73f1d52ee5be4840855b8d4a7bc0ee8b
Autor:
Mohammed Hamdan, Mohamed Cheriet
Publikováno v:
Array, Vol 19, Iss , Pp 100300- (2023)
Offline handwritten text recognition (HTR) typically relies on segmented text-line images for training and transcription. However, acquiring line-level position and transcript information can be challenging and time-consuming, while automatic line se
Externí odkaz:
https://doaj.org/article/108f8a1ba1c34f84b30773ec0d611dcb
Akademický článek
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Akademický článek
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Publikováno v:
工程科学学报, Vol 44, Iss 8, Pp 1386-1395 (2022)
In related work, such as human ear shape clustering, three-dimensional human ear modeling, and personal customized headphones, the key physiological curves of the human ear and the accurate positions of key points need to be determined. Moreover, as
Externí odkaz:
https://doaj.org/article/47a9a6fdfdae499b9698f50af3996de8
Autor:
Yuta Nambu, Tasuku Mariya, Shota Shinkai, Mina Umemoto, Hiroko Asanuma, Ikuma Sato, Yoshihiko Hirohashi, Toshihiko Torigoe, Yuichi Fujino, Tsuyoshi Saito
Publikováno v:
Cancer Medicine, Vol 11, Iss 2, Pp 520-529 (2022)
Abstract Background Although many cervical cytology diagnostic support systems have been developed, it is challenging to classify overlapping cell clusters with a variety of patterns in the same way that humans do. In this study, we developed a fast
Externí odkaz:
https://doaj.org/article/f3c0cd7225e242529ae078b0c0f756d1