Scientific Exploration of Conceptual and Algorithmic Terminologies of Machine Learning-Reference-Cited by-同舟云学术

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Scientific Exploration of Conceptual and Algorithmic Terminologies of Machine Learning

Published:2022 Issue: Volume: Page:325-333
ISSN:2367-3370
Container-title:Lecture Notes in Networks and Systems
language:
Short-container-title:

Author:

Singh Juginder Pal

Publisher

Springer Singapore

Link

https://link.springer.com/content/pdf/10.1007/978-981-16-9756-2_32

Reference12 articles.

1. Singh JP, Mishra MK, Khan MA (2017, July) Energy-efficient approach towards video-based sensor networks (wireless) beneath barrier coverage. In: 2017 8th International conference on computing, communication and networking technologies (ICCCNT). IEEE, pp 1–5

2. Mduma N, Kalegele K, Machuve D (2019) A survey of machine learning approaches and techniques for student dropout prediction

3. Vashistha P, Singh JP, Khan MA (2020) A comparative analysis of different violence detection algorithms from videos. In: Advances in data and information sciences. Springer, Singapore, pp 577–589

4. Ameri S, Fard MJ, Chinnam RB, Reddy CK (2016, Oct) Survival analysis based framework for early prediction of student dropouts. In: Proceedings of the 25th ACM international on conference on information and knowledge management, pp 903–912

5. Singh JP, Gupta A (2020, July) Scientific exploration of hand gesture recognition to text. In: 2020 International conference on electronics and sustainable communication systems (ICESC). IEEE, pp 363–367

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1. Emotion Detection using Facial Expressions;2022 11th International Conference on System Modeling & Advancement in Research Trends (SMART);2022-12-16

2. Comparison of the Usability of Apple M1 Processors for Various Machine Learning Tasks;Sensors;2022-10-20

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