The Modified Approach to Internet of Things Data Transmission Based on a Combined Neural Network Autoencoder
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Publisher
Springer Nature Switzerland
Link
https://link.springer.com/content/pdf/10.1007/978-3-031-46880-3_13
Reference27 articles.
1. Abdulhussein Abdulzahra, S., Al-Qurabat, A.K.M., Idrees, A.K.: Data reduction based on compression technique for big data in IoT. In: Proceedings of the 2020 International Conference on Emerging Smart Computing and Informatics (ESCI), Pune, 17 August 2020 (2020)
2. Polianytsia, A., Starkova, O., Herasymenko, K.: Survey of the IoT data transmission protocols. In: Proceedings of the 2017 4th International Scientific-Practical Conference Problems of Infocommunications. Science and Technology (PIC S&T), Kharkiv, 10–13 October 2017 (2017)
3. Moon, A., Park, J., Song, Y.J.: Prediction of compression ratio for transform-based lossy compression in time-series datasets. In: Proceedings of the 2022 24th International Conference on Advanced Communication Technology (ICACT), PyeongChang Kwangwoon_Do, 11 March 2022 (2022)
4. Routray, S.K., Javali, A., Sahoo, A., Semunigus, W., Pappa, M.: Lossless compression techniques for low bandwidth IoTs. In: Proceedings of the 2020 Fourth International Conference on I-SMAC (IoT in Social, Mobile, Analytics and Cloud) (I-SMAC), Palladam, 10 November 2020 (2020)
5. Chatterjee, A., Shah, R.J., Hasan, K.S.: Efficient data compression for IoT devices using Huffman coding based techniques. In: Proceedings of the 2018 IEEE International Conference on Big Data (Big Data), Seattle, 24 January 2019 (2019)
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