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Titlebook: Computational Intelligence; Select Proceedings o Anupam Shukla,B. K. Murthy,Jean-Paul Van Belle Conference proceedings 2023 The Editor(s) (

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31#
發(fā)表于 2025-3-27 00:44:13 | 只看該作者
32#
發(fā)表于 2025-3-27 04:27:27 | 只看該作者
Aerial Object Detection Using Deep Learning: A Review,tional methods made use of machine learning algorithms that involved hand-made features. At present, deep learning models have surpassed the conventional machine learning models. Some of the major problems faced in aerial object detection are angle shift and the small sizes of objects in aerial imag
33#
發(fā)表于 2025-3-27 08:21:24 | 只看該作者
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發(fā)表于 2025-3-27 12:59:37 | 只看該作者
35#
發(fā)表于 2025-3-27 16:42:07 | 只看該作者
Recommender System Based on Network Structure Link Analysis Technique Through Community Detection is in identifying the items for the user and might be worthful for creating buying options that are purely rely on recommender. Especially, in the case of a book recommender system, it is necessary to recommend the books to learn in conformity with the learning environment of the learner. The prime o
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發(fā)表于 2025-3-27 21:35:13 | 只看該作者
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發(fā)表于 2025-3-27 23:57:42 | 只看該作者
Multivariate Partially Blind Signature Scheme, Partial blind signature is used to tackle this problem using a piece of common information shared between the signer and the user. In the family of multivariate public key cryptography, there is no partially blind signature till now. We here design the first multivariate partially blind signature d
38#
發(fā)表于 2025-3-28 05:00:24 | 只看該作者
Topic Analysis and Visualisation of Peer-to-Peer Platform Data: An Airbnb Case Study,ther. People who sell goods or services on P2P platforms are often ordinary citizens who do not have sophisticated marketing knowledge or skills. It is important that service providers are empowered to know how to market themselves since they are competing globally. In a review of accommodation P2P
39#
發(fā)表于 2025-3-28 09:59:05 | 只看該作者
Pandemic-Induced Behavioral Change in Mobile Banking Adoption: An Opportunity for Indian Banking Inbanking industry. The study has further identified and analyzed the usage pattern of Indian customers for mobile banking/online banking services in the pre-pandemic phase and progression of Indian customers for mobile banking/online banking services during the pandemic. Secondary data has been used
40#
發(fā)表于 2025-3-28 13:04:02 | 只看該作者
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