Zobrazeno 1 - 10
of 1 067 497
pro vyhledávání: '"A, Crisp"'
Autor:
Tharani, K.1 tharanitopo23@gmail.com, Kokilavani, V.2 vanikasc@yahoo.co.in
Publikováno v:
Neutrosophic Sets & Systems. 2024, Vol. 73, p415-429. 15p.
Autor:
Getachew, Mehret1 (AUTHOR) mihretgetachew2015@gmail.com, Beshah, Birhanu1 (AUTHOR), Mulugeta, Ameha1 (AUTHOR), Kitaw, Daniel1 (AUTHOR)
Publikováno v:
International Journal of Production Research. Sep2024, p1-25. 25p. 12 Illustrations.
Autor:
Basumatary, Jili1 jilibasumatary@gmail.com, Basumatary, Bhimraj2 brbasumatary14@gmail.com
Publikováno v:
Neutrosophic Sets & Systems. 2024, Vol. 73, p538-551. 14p.
Autor:
Liu, Changsong, Zhang, Wei, Liu, Yanyan, Li, Mingyang, Li, Wenlin, Fan, Yimeng, Bai, Xiangnan, Zhangd, Liang
Edge detection, as a fundamental task in computer vision, has garnered increasing attention. The advent of deep learning has significantly advanced this field. However, recent deep learning-based methods which rely on large-scale pre-trained weights
Externí odkaz:
http://arxiv.org/abs/2409.04272
Autor:
Neil Ridley
Looking for snacking euphoria? Look no further than crisps and drinks! Whether you want to upgrade your hosting abilities, impress friends with your flavour pairing knowledge or wow your in-laws at a family picnic, drinks expert and C4 Sunday Brunch
Autor:
James Park
Named a Best Cookbook of the Year by Epicurious, The Kitchn, and more.If you already love chili crisp, this book is for you. If you're new to it, this book is for you. With over 50 recipes, Chili Crisp is here for you, wherever you are on your spicy
Trusted execution environments (TEEs) protect the integrity and confidentiality of running code and its associated data. Nevertheless, TEEs' integrity protection does not extend to the state saved on disk. Furthermore, modern cloud-native application
Externí odkaz:
http://arxiv.org/abs/2408.06822
In the following contribution, a method is introduced that integrates domain expert-centric ontology design with the Cross-Industry Standard Process for Data Mining (CRISP-DM). This approach aims to efficiently build an application-specific ontology
Externí odkaz:
http://arxiv.org/abs/2407.06930
Edge detection is a fundamental task in computer vision. It has made great progress under the development of deep convolutional neural networks (DCNNs), some of which have achieved a beyond human-level performance. However, recent top-performing edge
Externí odkaz:
http://arxiv.org/abs/2406.05779
Shoeprints are a common type of evidence found at crime scenes and are used regularly in forensic investigations. However, existing methods cannot effectively employ deep learning techniques to match noisy and occluded crime-scene shoeprints to a sho
Externí odkaz:
http://arxiv.org/abs/2404.16972