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Titlebook: Machine Intelligence and Soft Computing; Proceedings of ICMIS Debnath Bhattacharyya,Sanjoy Kumar Saha,Philippe F Conference proceedings 202

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發(fā)表于 2025-3-28 14:55:56 | 只看該作者
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發(fā)表于 2025-3-28 22:44:09 | 只看該作者
,A Study on Human–Machine Interaction in Banking Services During COVID-19, services involving human–machine interactions to the level of customer satisfaction. SPSS Software is used to analyze the data. The results of the study highlight positivity thus concluding that the twenty-first century is demanding a hundred percent of transactions based on human–machine interacti
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發(fā)表于 2025-3-28 22:54:02 | 只看該作者
Detection of Fake Profiles in Instagram Using Supervised Machine Learning,in 2019, cybercrime in India increased by 457 percent between 2011 and 2016. Most people are aware of the effect that social media sites such as Facebook, Instagram, and Twitter have on their lives. This is a result of our everyday activities. It is the purpose of false characters, as well as ways o
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發(fā)表于 2025-3-29 03:39:37 | 只看該作者
Review on Space and Security Issues in Cloud Computing, more critical. Hence, we need to provide more security to the data being stored in the huge number of the server. As we need to provide security to these servers, several factors are important to note. The detailed description of these points was presented in the current article.
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發(fā)表于 2025-3-29 08:02:23 | 只看該作者
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發(fā)表于 2025-3-29 15:02:24 | 只看該作者
New Event Detection for Web Recommendation Using Web Mining,t in which various keywords are mingled and then applied to the event’s uncertainties and dangers, in order to achieve this. A pyramid-like structure is commonly used on the internet to organize uncertainty hierarchies, and these levels are denoted by a pyramid-like structure used to denote the leve
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發(fā)表于 2025-3-29 19:31:37 | 只看該作者
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發(fā)表于 2025-3-29 22:49:19 | 只看該作者
,Distributed Machine Learning—An Intuitive Approach,nces in machine learning techniques by exploiting hardware acceleration. In order to improve the quality of predictions and utilize machine learning solutions feasible for more complex applications, a tangible amount of training data is necessary. Although relatively tiny machine learning models can
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發(fā)表于 2025-3-30 00:45:46 | 只看該作者
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發(fā)表于 2025-3-30 07:56:21 | 只看該作者
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