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Advanced Search Results For "LEARNING"

1 - 10 of 1,346,313 results for
 "LEARNING"
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Application of deep learning methods: From molecular modelling to patient classification.

Publication Type:Academic Journal

Source(s):Experimental cell research [Exp Cell Res] 2022 Sep 15; Vol. 418 (2), pp. 113278. Date of Electronic Publication: 2022 Jul 08.

Abstract:We are now well into the information driven age with complex, heterogeneous, datasets in the biological sciences continuing to grow at a rapid pace. Moreover, distilling of such datasets, to find new governing principles, are underway. Leading the surg...

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Prediction of lipomatous soft tissue malignancy on MRI: comparison between machine learning applied to radiomics and deep learning.

Publication Type:Academic Journal

Source(s):European radiology experimental [Eur Radiol Exp] 2022 Sep 08; Vol. 6 (1), pp. 41. Date of Electronic Publication: 2022 Sep 08.

Abstract:Objectives: Malignancy of lipomatous soft-tissue tumours diagnosis is suspected on magnetic resonance imaging (MRI) and requires a biopsy. The aim of this study is to compare the performances of MRI radiomic machine learning (ML) analysis with deep lea...

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Unsupervised and semi-supervised learning: the next frontier in machine learning for plant systems biology.

Publication Type:Academic Journal

Source(s):The Plant journal : for cell and molecular biology [Plant J] 2022 Sep; Vol. 111 (6), pp. 1527-1538. Date of Electronic Publication: 2022 Jul 27.

Abstract:Advances in high-throughput omics technologies are leading plant biology research into the era of big data. Machine learning (ML) performs an important role in plant systems biology because of its excellent performance and wide application in the analy...

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Flexible learning of matching and mismatching by pigeons.

Publication Type:Academic Journal

Source(s):Behavioural processes [Behav Processes] 2022 Sep; Vol. 201, pp. 104715. Date of Electronic Publication: 2022 Jul 25.

Abstract:When pigeons learn a conditional discrimination in which a sample stimulus indicates which of two comparison stimuli is correct Skinner (1950) proposed that they learn a chain involving the sample, the correct comparison stimulus, and the reinforcer. T...

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A Novel Prediction Model for Malicious Users Detection and Spectrum Sensing Based on Stacking and Deep Learning.

Publication Type:Academic Journal

Source(s):Sensors (Basel, Switzerland) [Sensors (Basel)] 2022 Aug 28; Vol. 22 (17). Date of Electronic Publication: 2022 Aug 28.

Abstract:Cooperative network is a promising concept for achieving a high-accuracy decision of spectrum sensing in cognitive radio networks. It enables a collaborative exchange of the sensing measurements among the network users to monitor the primary spectrum o...

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ResSUMO: A Deep Learning Architecture Based on Residual Structure for Prediction of Lysine SUMOylation Sites.

Publication Type:Academic Journal

Source(s):Cells [Cells] 2022 Aug 25; Vol. 11 (17). Date of Electronic Publication: 2022 Aug 25.

Abstract:Lysine SUMOylation plays an essential role in various biological functions. Several approaches integrating various algorithms have been developed for predicting SUMOylation sites based on a limited dataset. Recently, the number of identified SUMOylatio...

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Contactless Fall Detection by Means of Multiple Bioradars and Transfer Learning.

Publication Type:Academic Journal

Source(s):Sensors (Basel, Switzerland) [Sensors (Basel)] 2022 Aug 21; Vol. 22 (16). Date of Electronic Publication: 2022 Aug 21.

Abstract:Fall detection in humans is critical in the prevention of life-threatening conditions. This is especially important for elderly people who are living alone. Therefore, automatic fall detection is one of the most relevant problems in geriatrics. Bioradi...

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Predicting difficult airway intubation in thyroid surgery using multiple machine learning and deep learning algorithms.

Publication Type:Academic Journal

Source(s):Frontiers in public health [Front Public Health] 2022 Aug 10; Vol. 10, pp. 937471. Date of Electronic Publication: 2022 Aug 10 (Print Publication: 2022).

Abstract:Background: In this paper, we examine whether machine learning and deep learning can be used to predict difficult airway intubation in patients undergoing thyroid surgery.Methods: We used 10 machine learning and deep learning algorithms to establish a ...

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Morris water maze: a versatile and pertinent tool for assessing spatial learning and memory.

Publication Type:Academic Journal

Source(s):Experimental animals [Exp Anim] 2022 Aug 05; Vol. 71 (3), pp. 264-280. Date of Electronic Publication: 2022 Mar 18.

Abstract:Since its development about 40 years ago (1981-2021), Morris water maze has turned into a very popular tool for assessing spatial learning and memory. Its many advantages have ensured its pertinence to date. These include its effectiveness in evaluatin...

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Deepm5C: A deep-learning-based hybrid framework for identifying human RNA N5-methylcytosine sites using a stacking strategy.

Publication Type:Academic Journal

Source(s):Molecular therapy : the journal of the American Society of Gene Therapy [Mol Ther] 2022 Aug 03; Vol. 30 (8), pp. 2856-2867. Date of Electronic Publication: 2022 May 06.

Abstract:As one of the most prevalent post-transcriptional epigenetic modifications, N5-methylcytosine (m5C) plays an essential role in various cellular processes and disease pathogenesis. Therefore, it is important accurately identify m5C modifications in orde...

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