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   Articles with "learning framework" as a keyword



An auto‐configurable machine learning framework to optimize and predict catalysts for CO2 to light olefins process

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recommendations! Published in 2024 at "AIChE Journal"

DOI: 10.1002/aic.18437

Abstract: This study proposed an auto‐configurable machine learning framework based on the differential evolution algorithm (AutoML‐DE) driven by hybrid data for the screening and discovery of promising CO2 to light olefins (CO2TLO) catalysts candidates. The hybrid… read more here.

Keywords: light olefins; machine learning; configurable machine; learning framework ... See more keywords

A universal machine learning framework to automatically identify high‐performance covalent organic framework membranes for CH4/H2 separation

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recommendations! Published in 2024 at "AIChE Journal"

DOI: 10.1002/aic.18575

Abstract: A universal machine learning framework is proposed to predict and classify membrane performance efficiently and accurately, achieved by combining classical density functional theory and string method. Through application of this framework, we conducted high‐throughput computations… read more here.

Keywords: separation; framework; machine learning; performance ... See more keywords

A Deep Learning Framework for Deriving Non-Invasive Intracranial Pressure Waveforms from Transcranial Doppler.

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recommendations! Published in 2023 at "Annals of neurology"

DOI: 10.1002/ana.26682

Abstract: Increased intracranial pressure (ICP) causes disability and mortality in the neuro-intensive care population. Current methods for monitoring ICP are invasive. We designed a deep learning framework using a domain adversarial neural network to estimate noninvasive… read more here.

Keywords: non invasive; framework; pressure; deep learning ... See more keywords

Optical fog‐assisted smart learning framework to enhance students’ employability in engineering education

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recommendations! Published in 2019 at "Computer Applications in Engineering Education"

DOI: 10.1002/cae.22120

Abstract: In the present scenario, the state of engineering education worldwide is facing a big challenge of the employability of graduates. Cloud computing technology has changed the educational landscape by allowing educators and administrators to shift… read more here.

Keywords: framework; learning framework; employability; engineering education ... See more keywords

Adaptive learning framework for learning computational thinking using educational robotics

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recommendations! Published in 2024 at "Computer Applications in Engineering Education"

DOI: 10.1002/cae.22732

Abstract: Computational thinking (CT) has been promoted worldwide by educational systems and is an essential skill for technological citizens. Various strategies have been planned and developed to help in introducing, improving, and delivering CT. One of… read more here.

Keywords: computational thinking; robotics; adaptive learning; framework ... See more keywords

Robust privacy‐preserving federated learning framework for IoT devices

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recommendations! Published in 2022 at "International Journal of Intelligent Systems"

DOI: 10.1002/int.22993

Abstract: Federated Learning (FL) is a framework where multiple parties can train a model jointly without sharing private data. Private information protection is a critical problem in FL. However, the communication overheads of existing solutions are… read more here.

Keywords: federated learning; iot devices; framework; privacy preserving ... See more keywords
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Glioma grading using a machine‐learning framework based on optimized features obtained from T1 perfusion MRI and volumes of tumor components

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recommendations! Published in 2019 at "Journal of Magnetic Resonance Imaging"

DOI: 10.1002/jmri.26704

Abstract: Glioma grading between intermediate grades (Grade II vs. III and Grade III vs. IV) as well as multiclass grades (Grade II vs. III vs. IV) is challenging and needs to be addressed. read more here.

Keywords: machine learning; using machine; grading using; glioma grading ... See more keywords
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DeepFunc: A Deep Learning Framework for Accurate Prediction of Protein Functions from Protein Sequences and Interactions

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recommendations! Published in 2019 at "PROTEOMICS"

DOI: 10.1002/pmic.201900019

Abstract: Annotation of protein functions plays an important role in understanding life at the molecular level. High‐throughput sequencing produces massive numbers of raw proteins sequences and only about 1% of them have been manually annotated with… read more here.

Keywords: protein; deep learning; learning framework; functions protein ... See more keywords

A Bayesian Sequential Learning Framework to Parameterise Continuum Models of Melanoma Invasion into Human Skin

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recommendations! Published in 2019 at "Bulletin of Mathematical Biology"

DOI: 10.1007/s11538-018-0532-1

Abstract: We present a novel framework to parameterise a mathematical model of cell invasion that describes how a population of melanoma cells invades into human skin tissue. Using simple experimental data extracted from complex experimental images,… read more here.

Keywords: bayesian sequential; invasion; sequential learning; biology ... See more keywords

A deep learning framework using CNN and stacked Bi-GRU for COVID-19 predictions in India

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recommendations! Published in 2021 at "Signal, Image and Video Processing"

DOI: 10.1007/s11760-021-01988-1

Abstract: The novel coronavirus infection (COVID-19) first appeared in Wuhan, China, in December 2019. COVID-19 declared as a global pandemic by the WHO was the most rapidly spreading disease all across the world. India, the second… read more here.

Keywords: cnn stacked; framework; using cnn; deep learning ... See more keywords

A learning framework for information block search based on probabilistic graphical models and Fisher Kernel

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recommendations! Published in 2018 at "International Journal of Machine Learning and Cybernetics"

DOI: 10.1007/s13042-017-0657-9

Abstract: Contrary to traditional Web information retrieval methods that can only return a ranked list of Web pages and only allow search terms in the query, we have developed a novel learning framework for retrieving precise… read more here.

Keywords: information; block; search; information block ... See more keywords