Titlebook: Emerging Technologies in Data Mining and Information Security; Proceedings of IEMIS Paramartha Dutta,Satyajit Chakrabarti,Celia Shahna Conf

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https://doi.org/10.1007/978-981-15-1656-6em must have a noise-removal feature to perform in the best way possible. This paper gives a brief about the machine learning techniques that can be used in speech recognition. A better understanding of the models will help understand the systems, and it may help improve the technology even further for the benefit of society.

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Texture Feature Based on ANN for Security Aspectsnd their related visible imperceptibility metrics that use a portion of the graphic. For output enhancement, the learned model is further utilized. To surpass the current innovative frameworks, the proposed model is shown.

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Conference proceedings 2023igh-quality research work by academicians and industrial experts in the field of computing and communication, including full-length papers, research-in-progress papers, and case studies related to all the areas of data mining, machine learning, Internet of Things (IoT) and information security..

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Nonlinear Analysis and Continuum Mechanicsng upon user choice with similar data. For this recommendation system, two techniques are used which are collaborative filtering and content-based filtering. Considering the issues for some users while searching, they can play music with help of a voice assistant.

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土坯

https://doi.org/10.1007/978-1-4614-6877-6m them. To analyze these unstructured customer feedbacks at scale, machine learning is used. In this work we present a survey on various machine learning techniques that have been used in past eight years for analysis of tweets/comments related to airline industry.

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