[HTML][HTML] Process-oriented stream classification pipeline: A literature review

L Clever, JS Pohl, J Bossek, P Kerschke… - Applied Sciences, 2022 - mdpi.com
Featured Application Nowadays, many applications and disciplines work on the basis of
stream data. Common examples are the IoT sector (eg, sensor data analysis), or video …

Hybrid in-network computing and distributed learning for large-scale data processing

SE Jeon, SJ Lee, IG Lee - Computer Networks, 2023 - Elsevier
Recently, the value of big data generated, processed, and shared by mobile devices and
intelligent Internet of Things devices has significantly increased. The speed of data …

[HTML][HTML] AC2: an efficient protein sequence compression tool using artificial neural networks and cache-hash models

M Silva, D Pratas, AJ Pinho - Entropy, 2021 - mdpi.com
Recently, the scientific community has witnessed a substantial increase in the generation of
protein sequence data, triggering emergent challenges of increasing importance, namely …

Forecasting of ozone concentrations using the Neural Prophet model: application to the Tunisian case

H Chérif, H Snoun, G Bellakhal, H Kanfoudi - Euro-Mediterranean Journal …, 2023 - Springer
Nowadays, accurate time series predictions rely greatly on deep learning models, as they
have excellent predictive abilities and do not necessitate complex feature engineering tasks …

Efficient Biosequence Compression Using Neuralnetworks

MDT da Silva - 2021 - search.proquest.com
Contexto: O aumento da produção de dados genómicos levou a uma maior necessidade de
modelos que possam lidar de forma eficiente com a compressão sem perdas de …