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Titlebook: Swarm, Evolutionary, and Memetic Computing and Fuzzy and Neural Computing; 7th International Co Ale? Zamuda,Swagatam Das,Bijaya Ketan Panig

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樓主: decoction
61#
發(fā)表于 2025-4-1 03:20:04 | 只看該作者
62#
發(fā)表于 2025-4-1 07:04:37 | 只看該作者
Shree Ram Pandey,Rituparna Datta,Aviv Segev,Bishakh Bhattacharyamized network, Sedna platform and industrial quality inspection AI model technology, this paper sinks AI capabilities to industrial production lines through MEC, builds industrial-grade machine vision solutions, and creates a single-industry multi-plant intelligent industrial life-form ecology.
63#
發(fā)表于 2025-4-1 10:41:00 | 只看該作者
Wen Xin Cheng,P. N. Suganthan,Xueheng Qiu,Rakesh Katuwal remote sensor for earth observation, using the PcModWin software to calculate each component energy distribution of radiation transfer model, comparing the calculation results with labsphere 1 m integrating sphere radiation data, this method was proved the authenticity and accuracy of the results.
64#
發(fā)表于 2025-4-1 17:00:10 | 只看該作者
Palash Pal,Rituparna Datta,Deepak Rajbansi,Aviv Segevwing advantages: 1. It fully considers the spatial distribution of the image brightness. 2. For the imaging of different scenes, it self-adapts to separate exposure regions. 3. It performs mapping according to the imaging principles and obtains the mapping function without the exposure time. 4. It r
65#
發(fā)表于 2025-4-1 22:21:00 | 只看該作者
Petr Bujokointly training DCNN and RNN. The benefits of this approach are as follows: (1) It realizes end-to-end recognition without segmentation; (2) GRU can make better use of contextual information of license plate images, which leads to improved recognition accuracy; (3) License plate with different numbe
66#
發(fā)表于 2025-4-2 00:44:39 | 只看該作者
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