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Enhancing intrusion detection in iot communications through ml model generalization with a new dataset (idsai)
One of the fields where Artificial Intelligence (AI) must continue to innovate is computer
security. The integration of Wireless Sensor Networks (WSN) with the Internet of Things (IoT) …
security. The integration of Wireless Sensor Networks (WSN) with the Internet of Things (IoT) …
A comparative study of CNN-capsule-net, CNN-transformer encoder, and Traditional machine learning algorithms to classify epileptic seizure
Introduction Epilepsy is a disease characterized by an excessive discharge in neurons
generally provoked without any external stimulus, known as convulsions. About 2 million …
generally provoked without any external stimulus, known as convulsions. About 2 million …
[HTML][HTML] Gas liquid flow pattern prediction in horizontal and slightly inclined pipes: From mechanistic modelling to machine learning
This paper investigates the prediction of two-phase gas-liquid flow regimes in both
horizontal and slightly inclined pipes. For this purpose, the mechanistic model of Taitel et …
horizontal and slightly inclined pipes. For this purpose, the mechanistic model of Taitel et …
Prediction of two-phase flow patterns based on machine learning
Z Huang, Y Duo, H Xu - Nuclear Engineering and Design, 2024 - Elsevier
Due to the advantages of flexibility, security and economy, small modular reactor (SMR) has
become a research hotspot in the field of nuclear energy. Gas liquid two-phase flow is one of …
become a research hotspot in the field of nuclear energy. Gas liquid two-phase flow is one of …
Comparative performance of machine-learning and deep-learning algorithms in predicting gas–liquid flow regimes
Highlights What are the main findings? Machine learning algorithms perform more efficiently
than deep learning methods in classifying gas-liquid flow regimes in pipelines. Extreme …
than deep learning methods in classifying gas-liquid flow regimes in pipelines. Extreme …
Machine learning applications on intratumoral heterogeneity in glioblastoma using single-cell RNA sequencing data
HB Arteaga-Arteaga… - Briefings in …, 2023 - academic.oup.com
Artificial intelligence is revolutionizing all fields that affect people's lives and health. One of
the most critical applications is in the study of tumors. It is the case of glioblastoma (GBM) …
the most critical applications is in the study of tumors. It is the case of glioblastoma (GBM) …
[HTML][HTML] Artificial Intelligence Techniques for the Hydrodynamic Characterization of Two-Phase Liquid–Gas Flows: An Overview and Bibliometric Analysis
JA Gomez Camperos, MM Hernández Cely… - Fluids, 2024 - mdpi.com
Accurately and instantly estimating the hydrodynamic characteristics in two-phase liquid–
gas flow is crucial for industries like oil, gas, and other multiphase flow sectors to reduce …
gas flow is crucial for industries like oil, gas, and other multiphase flow sectors to reduce …
Multiscale Turbulence Characteristics of Gas–Liquid Pressure Fluctuations in an Industrial Quatro Static Mixer
The gas–liquid two-phase flow is of great significance to industrial production. The nonlinear
turbulence characteristics of pressure fluctuation in a Quatro static mixer (QSM) are …
turbulence characteristics of pressure fluctuation in a Quatro static mixer (QSM) are …
Requests classification in the customer service area for software companies using machine learning and natural language processing
MX Arias-Barahona, HB Arteaga-Arteaga… - PeerJ Computer …, 2023 - peerj.com
Artificial intelligence (AI) is one of the components recognized for its potential to transform
the way we live today radically. It makes it possible for machines to learn from experience …
the way we live today radically. It makes it possible for machines to learn from experience …
Regime independent flow rate prediction in a gas-liquid two-phase facility based on gamma ray technique and one detector using multi-feature extraction
One of the key challenges in petroleum related industries is how to precisely measure the
flow rates of individual phases in a pipeline. To address this challenge, in the present study …
flow rates of individual phases in a pipeline. To address this challenge, in the present study …