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Integrated analysis of machine learning and deep learning in chili pest and disease identification

Journal of the science of food and agriculture, 2021-07, Vol.101 (9), p.3582-3594

2021

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Deep Learning for Plant Species Classification Using Leaf Vein Morphometric

IEEE/ACM transactions on computational biology and bioinformatics, 2020-01, Vol.17 (1), p.82-90

2020

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A review on omics-based biomarkers discovery for Alzheimer's disease from the bioinformatics perspectives: Statistical approach vs machine learning approach

Computers in biology and medicine, 2021-12, Vol.139, p.104947-104947, Article 104947

2021

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Oral cancer prognosis based on clinicopathologic and genomic markers using a hybrid of feature selection and machine learning methods

BMC bioinformatics, 2013-05, Vol.14 (1), p.170-170, Article 170

2013

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Integrative machine learning analysis of multiple gene expression profiles in cervical cancer

PeerJ (San Francisco, CA), 2018-07, Vol.6, p.e5285-e5285, Article e5285

2018

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Virtual reality based support system for layout planning and programming of an industrial robotic work cell

PloS one, 2014-10, Vol.9 (10), p.e109692-e109692

2014

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Cephalopod species identification using integrated analysis of machine learning and deep learning approaches

PeerJ (San Francisco, CA), 2021-08, Vol.9, p.e11825-e11825, Article e11825

2021

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Differential Expression Analysis of Blood MicroRNA in Identifying Potential Genes Relevant to Alzheimer’s Disease Pathogenesis, Using an Integrated Bioinformatics and Machine Learning Approach

Applied sciences, 2023-02, Vol.13 (5), p.3071

2023

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Augmented reality assisted facility layout digitization and planning

Journal of Mechanical Science and Technology, 2021, 35(9), , pp.4115-4123

2021

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Automated classification of tropical shrub species: a hybrid of leaf shape and machine learning approach

PeerJ (San Francisco, CA), 2017-09, Vol.5, p.e3792-e3792, Article e3792

2017

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Plant data visualisation using network graphs

PeerJ (San Francisco, CA), 2018-08, Vol.6, p.e5579-e5579, Article e5579

2018

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A genetic programming approach to oral cancer prognosis

PeerJ (San Francisco, CA), 2016-09, Vol.4, p.e2482-e2482, Article e2482

2016

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A review of risk prediction models in cardiovascular disease: conventional approach vs. artificial intelligent approach

Computer methods and programs in biomedicine, 2021-08, Vol.207, p.106190-106190, Article 106190

2021

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On Equivalence of FIS and ELM for Interpretable Rule-Based Knowledge Representation

IEEE transaction on neural networks and learning systems, 2015-07, Vol.26 (7), p.1417-1430

2015

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A biomarker discovery of acute myocardial infarction using feature selection and machine learning

Medical & biological engineering & computing, 2023-10, Vol.61 (10), p.2527-2541

2023

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A machine learning approach of predicting high potential archers by means of physical fitness indicators

PloS one, 2019-01, Vol.14 (1), p.e0209638-e0209638

2019

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A multi-ethnic proteomic profiling analysis in Alzheimer's disease identifies the disparities in dysregulation of proteins and pathogenesis

PeerJ (San Francisco, CA), 2024-07, Vol.12, p.e17643, Article e17643

2024

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Epithelial-mesenchymal transition profiles in triple negative breast carcinoma may explain its aggressive nature

Malaysian journal of pathology, 2023-12, Vol.45 (3), p.363-374

2023

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Screening for microsatellite instability in colorectal carcinoma: Practical utility of immunohistochemistry and PCR with fragment analysis in a diagnostic histopathology setting

Malaysian journal of pathology, 2019-08, Vol.41 (2), p.91-100

2019

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An efficiency improvement of flexible flow shop scheduling in automotive part company

Intelligent decision technologies, 2020-01, Vol.14 (4), p.493-506

2020

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Pathway analysis of host responses to dengue virus serotype 2 infection and inhibition of viral envelope protein by naringenin from Ganoderma lucidum

Journal of biosciences, 2023-11, Vol.48 (4), p.49, Article 49

2023

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Paper-based multiplexed colorimetric biosensing of cardiac and lipid biomarkers integrated with machine learning for accurate acute myocardial infarction early diagnosis and prognosis

Sensors and actuators. B, Chemical, 2023-11, Vol.394, p.134403, Article 134403

2023

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Feature selection methods for optimizing clinicopathologic input variables in oral cancer prognosis

Asian Pacific journal of cancer prevention : APJCP, 2011, Vol.12 (10), p.2659

2011

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Biosensing based on surface-enhanced Raman spectroscopy as an emerging/next-generation point-of-care approach for acute myocardial infarction diagnosis

Critical reviews in biotechnology, 2020-11, Vol.40 (8), p.1191-1209

2020

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Design and Development of A 6-Dof System for Virtual Bicycle Simulator

Malaysian Journal of Movement, Health & Exercise, 2016, Vol.5 (2), p.31

2016

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Integrated analysis of machine learning and deep learning in chili pest and disease identification

Deep Learning for Plant Species Classification Using Leaf Vein Morphometric

A review on omics-based biomarkers discovery for Alzheimer's disease from the bioinformatics perspectives: Statistical approach vs machine learning approach

Oral cancer prognosis based on clinicopathologic and genomic markers using a hybrid of feature selection and machine learning methods

Integrative machine learning analysis of multiple gene expression profiles in cervical cancer

Virtual reality based support system for layout planning and programming of an industrial robotic work cell

Cephalopod species identification using integrated analysis of machine learning and deep learning approaches

Differential Expression Analysis of Blood MicroRNA in Identifying Potential Genes Relevant to Alzheimer’s Disease Pathogenesis, Using an Integrated Bioinformatics and Machine Learning Approach

Augmented reality assisted facility layout digitization and planning

Automated classification of tropical shrub species: a hybrid of leaf shape and machine learning approach

Plant data visualisation using network graphs

A genetic programming approach to oral cancer prognosis

A review of risk prediction models in cardiovascular disease: conventional approach vs. artificial intelligent approach

On Equivalence of FIS and ELM for Interpretable Rule-Based Knowledge Representation

A biomarker discovery of acute myocardial infarction using feature selection and machine learning

A machine learning approach of predicting high potential archers by means of physical fitness indicators

A multi-ethnic proteomic profiling analysis in Alzheimer's disease identifies the disparities in dysregulation of proteins and pathogenesis

Epithelial-mesenchymal transition profiles in triple negative breast carcinoma may explain its aggressive nature

Screening for microsatellite instability in colorectal carcinoma: Practical utility of immunohistochemistry and PCR with fragment analysis in a diagnostic histopathology setting

An efficiency improvement of flexible flow shop scheduling in automotive part company

Pathway analysis of host responses to dengue virus serotype 2 infection and inhibition of viral envelope protein by naringenin from Ganoderma lucidum

Paper-based multiplexed colorimetric biosensing of cardiac and lipid biomarkers integrated with machine learning for accurate acute myocardial infarction early diagnosis and prognosis

Feature selection methods for optimizing clinicopathologic input variables in oral cancer prognosis

Biosensing based on surface-enhanced Raman spectroscopy as an emerging/next-generation point-of-care approach for acute myocardial infarction diagnosis

Design and Development of A 6-Dof System for Virtual Bicycle Simulator

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