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[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 …
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
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 …
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
Recently, the scientific community has witnessed a substantial increase in the generation of
protein sequence data, triggering emergent challenges of increasing importance, namely …
protein sequence data, triggering emergent challenges of increasing importance, namely …
Forecasting of ozone concentrations using the Neural Prophet model: application to the Tunisian case
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 …
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 …
modelos que possam lidar de forma eficiente com a compressão sem perdas de …