Results 141 to 150 of about 3,700 (260)

Red fescue (Festuca rubra L.) variety recognition using subset division and neural networks. [PDF]

Theory Biosci
Slebioda L, Zawieja B.
europepmc   +1 more source

Enabling Ultrastable Microbubbles With Graphene Aerogel Enrichment and Machine Learning for Highly Efficient Carbon Storage

Electron, EarlyView.
This study aims to introduce a novel‐designed structure of the colloidal aphron microbubbles reinforced by incorporating hydrophobic aerographene microparticles onto the hydrophobic outer shell. This results in the formation of a robust composite film and armored microbubble that offers exceptional ultrastability under elevated pressures of up to 400 ...
Mohammad Hossein Akhlaghi, Malek Naderi, Ali Pilehvar Meibody, Shurui Yang, Mojtaba Abdi‐Jalebi   +4 more
wiley   +1 more source

Towards intelligent railway monitoring: A novel hybrid deep learning architecture for railway obstacle detection. [PDF]

PLoS One
Mai C, Eisentraut L, Schadt M, Buettner R.   +3 more
europepmc   +1 more source

AI‐based localization of the epileptogenic zone using intracranial EEG

Epilepsia Open, EarlyView.
Abstract Artificial intelligence (AI) is rapidly transforming our lives. Machine learning (ML) enables computers to learn from data and make decisions without explicit instructions. Deep learning (DL), a subset of ML, uses multiple layers of neural networks to recognize complex patterns in large datasets through end‐to‐end learning.
Atsuro Daida, Yipeng Zhang, Sotaro Kanai, Richard Staba, Vwani Roychowdhury, Hiroki Nariai   +5 more
wiley   +1 more source

Leveraging Climate Data Through Intelligent Systems for the Prediction of Arbovirus Transmission by <i>Aedes aegypti</i>. [PDF]

Int J Environ Res Public Health
Lima CL, Sancho KA, Silva ACGD, Vital R, Silva CCD, Mendonça MFS, Borges FT, Siqueira CEG, Santos WPD.   +8 more
europepmc   +1 more source

Identifying Faults in Power Transformers Based on Machine‐Learning Algorithms Compared With Other Techniques

Energy Science &Engineering, EarlyView.
General framework of ensemble learning technique for transformer fault diagnostics compared with traditional dissolved gas analysis methods. ABSTRACT This paper implemented a comprehensive variety of modern machine‐learning techniques, which were demonstrated to be effective in handling complex tabular data, generating accurate predictions, and ...
Osama E. Gouda, Nourhan Ramadan, Matti Lehtonen, Mohamed M. F. Darwish   +3 more
wiley   +1 more source

STF-DKANMixer: Tri-component decomposition with KAN-MLP hybrid architecture for time series forecasting. [PDF]

PLoS One
Wei J, Guo R, Wang Y.
europepmc   +1 more source

Application of GAN–CNN in Risk Assessment of Pipeline Failures in Multiphase Pipeline With Image Information Encoding Approach

Energy Science &Engineering, EarlyView.
Field data from multiphase pipelines are transformed into grayscale images via Image Information Encoding, preserving feature values and interparameter relationships. A GAN–CNN model generates synthetic images that are decoded to expand the original database.
Sihang Chen, Na Zhang, Biyuan Shui
wiley   +1 more source

Prediction of antimicrobial resistance from MALDI-TOF mass spectra using machine learning: a validation study. [PDF]

J Clin Microbiol
Wiesmann N, Enders D, Westendorf A, Koch R, Schaumburg F.   +4 more
europepmc   +1 more source