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1
A Fuzzy Rule-Based System for Classification of Diabetes
A Fuzzy Rule-Based System for Classification of Diabetes
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A Fuzzy Rule-Based System for Classification of Diabetes

Sensors (Basel, Switzerland), 2021-12, Vol.21 (23), p.8095 [Peer Reviewed Journal]

2021 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License. ;2021 by the authors. 2021 ;ISSN: 1424-8220 ;EISSN: 1424-8220 ;DOI: 10.3390/s21238095 ;PMID: 34884099

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2
Generalizable disease detection using model ensemble on chest X-ray images
Generalizable disease detection using model ensemble on chest X-ray images
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Generalizable disease detection using model ensemble on chest X-ray images

Scientific reports, 2024-03, Vol.14 (1), p.5890-5890 [Peer Reviewed Journal]

2024. The Author(s). ;The Author(s) 2024. This work is published under http://creativecommons.org/licenses/by/4.0/ (the “License”). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License. ;The Author(s) 2024 ;EISSN: 2045-2322 ;DOI: 10.1038/s41598-024-56171-6 ;PMID: 38467705

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3
An Ensemble Learning Model for COVID-19 Detection from Blood Test Samples
An Ensemble Learning Model for COVID-19 Detection from Blood Test Samples
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An Ensemble Learning Model for COVID-19 Detection from Blood Test Samples

Sensors (Basel, Switzerland), 2022-03, Vol.22 (6), p.2224 [Peer Reviewed Journal]

2022 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License. ;2022 by the authors. 2022 ;ISSN: 1424-8220 ;EISSN: 1424-8220 ;DOI: 10.3390/s22062224 ;PMID: 35336395

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4
Data Augmentation and Deep Learning Methods in Sound Classification: A Systematic Review
Data Augmentation and Deep Learning Methods in Sound Classification: A Systematic Review
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Data Augmentation and Deep Learning Methods in Sound Classification: A Systematic Review

Electronics (Basel), 2022-11, Vol.11 (22), p.3795 [Peer Reviewed Journal]

COPYRIGHT 2022 MDPI AG ;2022 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License. ;ISSN: 2079-9292 ;EISSN: 2079-9292 ;DOI: 10.3390/electronics11223795

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5
Gender Classification Using Proposed CNN-Based Model and Ant Colony Optimization
Gender Classification Using Proposed CNN-Based Model and Ant Colony Optimization
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Gender Classification Using Proposed CNN-Based Model and Ant Colony Optimization

Mathematics (Basel), 2021-10, Vol.9 (19), p.2499 [Peer Reviewed Journal]

2021 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License. ;ISSN: 2227-7390 ;EISSN: 2227-7390 ;DOI: 10.3390/math9192499

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6
Assessing the effects of data selection and representation on the development of reliable E. coli sigma 70 promoter region predictors
Assessing the effects of data selection and representation on the development of reliable E. coli sigma 70 promoter region predictors
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Assessing the effects of data selection and representation on the development of reliable E. coli sigma 70 promoter region predictors

PloS one, 2015-03, Vol.10 (3), p.e0119721-e0119721 [Peer Reviewed Journal]

COPYRIGHT 2015 Public Library of Science ;COPYRIGHT 2015 Public Library of Science ;2015 Abbas et al. This is an open access article distributed under the terms of the Creative Commons Attribution License: http://creativecommons.org/licenses/by/4.0/ (the “License”), which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License. ;2015 Abbas et al 2015 Abbas et al ;ISSN: 1932-6203 ;EISSN: 1932-6203 ;DOI: 10.1371/journal.pone.0119721 ;PMID: 25803493

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7
A comparative study of cell classifiers for image-based high-throughput screening
A comparative study of cell classifiers for image-based high-throughput screening
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A comparative study of cell classifiers for image-based high-throughput screening

BMC bioinformatics, 2014-10, Vol.15 (1), p.342-342, Article 342 [Peer Reviewed Journal]

2014 Abbas et al.; licensee BioMed Central Ltd. This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly credited. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated. ;Abbas et al.; licensee BioMed Central Ltd. 2014 ;ISSN: 1471-2105 ;EISSN: 1471-2105 ;DOI: 10.1186/1471-2105-15-342 ;PMID: 25336059

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8
Deep Learning Approach Based on Residual Neural Network and SVM Classifier for Driver’s Distraction Detection
Deep Learning Approach Based on Residual Neural Network and SVM Classifier for Driver’s Distraction Detection
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Deep Learning Approach Based on Residual Neural Network and SVM Classifier for Driver’s Distraction Detection

Applied sciences, 2022-07, Vol.12 (13), p.6626 [Peer Reviewed Journal]

2022 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License. ;ISSN: 2076-3417 ;EISSN: 2076-3417 ;DOI: 10.3390/app12136626

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9
Detecting prostate cancer using deep learning convolution neural network with transfer learning approach
Detecting prostate cancer using deep learning convolution neural network with transfer learning approach
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Detecting prostate cancer using deep learning convolution neural network with transfer learning approach

Cognitive neurodynamics, 2020-08, Vol.14 (4), p.523-533 [Peer Reviewed Journal]

Springer Nature B.V. 2020 ;Springer Nature B.V. 2020. ;ISSN: 1871-4080 ;EISSN: 1871-4099 ;DOI: 10.1007/s11571-020-09587-5 ;PMID: 32655715

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10
Advanced Deep Learning Spectroscopy of Scalogram Infused CNN Classifiers for Robust Identification of Post‐Hypoxic Epileptiform EEG Spikes
Advanced Deep Learning Spectroscopy of Scalogram Infused CNN Classifiers for Robust Identification of Post‐Hypoxic Epileptiform EEG Spikes
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Advanced Deep Learning Spectroscopy of Scalogram Infused CNN Classifiers for Robust Identification of Post‐Hypoxic Epileptiform EEG Spikes

Advanced intelligent systems, 2021-02, Vol.3 (2), p.n/a [Peer Reviewed Journal]

2020 The Authors. Published by Wiley‐VCH GmbH ;2021. This work is published under http://creativecommons.org/licenses/by/4.0/ (the “License”). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License. ;ISSN: 2640-4567 ;EISSN: 2640-4567 ;DOI: 10.1002/aisy.202000198

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11
Prior Knowledge in the Classification of Biomedical Data
Prior Knowledge in the Classification of Biomedical Data
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Conference Proceeding 		Add to My Research

Prior Knowledge in the Classification of Biomedical Data

Combining Soft Computing and Statistical Methods in Data Analysis, p.1-8

Springer-Verlag Berlin Heidelberg 2010 ;ISSN: 1867-5662 ;ISBN: 3642147453 ;ISBN: 9783642147456 ;EISSN: 1867-5670 ;EISBN: 3642147461 ;EISBN: 9783642147463 ;DOI: 10.1007/978-3-642-14746-3_1

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12
Optimized Signature Recognition System Based On Feature Extraction Medthods And Neural Network Classifier
Optimized Signature Recognition System Based On Feature Extraction Medthods And Neural Network Classifier
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Optimized Signature Recognition System Based On Feature Extraction Medthods And Neural Network Classifier

I-Manager's Journal on Software Engineering, 2008-07, Vol.3 (2), p.20-27

ISSN: 0973-5151 ;EISSN: 2230-7168

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13
Predicting Chronic Kidney Disease Using Hybrid Machine Learning Based on Apache Spark
Predicting Chronic Kidney Disease Using Hybrid Machine Learning Based on Apache Spark
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Predicting Chronic Kidney Disease Using Hybrid Machine Learning Based on Apache Spark

Computational intelligence and neuroscience, 2022, Vol.2022, p.9898831-12 [Peer Reviewed Journal]

Copyright © 2022 Manal A Abdel-Fattah et al. ;Copyright © 2022 Manal A Abdel-Fattah et al. This is an open access article distributed under the Creative Commons Attribution License (the “License”), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License. https://creativecommons.org/licenses/by/4.0 ;Copyright © 2022 Manal A Abdel-Fattah et al. 2022 ;ISSN: 1687-5265 ;EISSN: 1687-5273 ;DOI: 10.1155/2022/9898831 ;PMID: 35251161

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14
Energy Efficiency through the Implementation of an AI Model to Predict Room Occupancy Based on Thermal Comfort Parameters
Energy Efficiency through the Implementation of an AI Model to Predict Room Occupancy Based on Thermal Comfort Parameters
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Energy Efficiency through the Implementation of an AI Model to Predict Room Occupancy Based on Thermal Comfort Parameters

Sustainability, 2022-07, Vol.14 (13), p.7734 [Peer Reviewed Journal]

2022 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License. ;ISSN: 2071-1050 ;EISSN: 2071-1050 ;DOI: 10.3390/su14137734

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15
An Integrated Active Deep Learning Approach for Image Classification from Unlabeled Data with Minimal Supervision
An Integrated Active Deep Learning Approach for Image Classification from Unlabeled Data with Minimal Supervision
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An Integrated Active Deep Learning Approach for Image Classification from Unlabeled Data with Minimal Supervision

Electronics (Basel), 2024-01, Vol.13 (1), p.169 [Peer Reviewed Journal]

COPYRIGHT 2023 MDPI AG ;2023 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License. ;ISSN: 2079-9292 ;EISSN: 2079-9292 ;DOI: 10.3390/electronics13010169

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16
Domain Adversarial for Acoustic Emotion Recognition
Domain Adversarial for Acoustic Emotion Recognition
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Domain Adversarial for Acoustic Emotion Recognition

arXiv.org, 2018-04

2018. This work is published under http://creativecommons.org/publicdomain/zero/1.0/ (the “License”). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License. ;http://creativecommons.org/publicdomain/zero/1.0 ;EISSN: 2331-8422 ;DOI: 10.48550/arxiv.1804.07690

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17
Analytics of Heterogeneous Breast Cancer Data Using Neuroevolution
Analytics of Heterogeneous Breast Cancer Data Using Neuroevolution
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Analytics of Heterogeneous Breast Cancer Data Using Neuroevolution

IEEE access, 2019, Vol.7, p.18050-18060 [Peer Reviewed Journal]

Copyright The Institute of Electrical and Electronics Engineers, Inc. (IEEE) 2019 ;ISSN: 2169-3536 ;EISSN: 2169-3536 ;DOI: 10.1109/ACCESS.2019.2897078 ;CODEN: IAECCG

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18
Morphological Classification of Extragalactic Radio Sources Using Gradient Boosting Methods
Morphological Classification of Extragalactic Radio Sources Using Gradient Boosting Methods
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Article 		Add to My Research

Morphological Classification of Extragalactic Radio Sources Using Gradient Boosting Methods

arXiv.org, 2023-08

2023. This work is published under http://arxiv.org/licenses/nonexclusive-distrib/1.0/ (the “License”). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License. ;http://arxiv.org/licenses/nonexclusive-distrib/1.0 ;EISSN: 2331-8422 ;DOI: 10.48550/arxiv.2304.12729

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19
Micro-Doppler Based Human-Robot Classification Using Ensemble and Deep Learning Approaches
Micro-Doppler Based Human-Robot Classification Using Ensemble and Deep Learning Approaches
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Micro-Doppler Based Human-Robot Classification Using Ensemble and Deep Learning Approaches

arXiv.org, 2018-02

2018. This work is published under http://arxiv.org/licenses/nonexclusive-distrib/1.0/ (the “License”). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License. ;http://arxiv.org/licenses/nonexclusive-distrib/1.0 ;EISSN: 2331-8422 ;DOI: 10.48550/arxiv.1711.09177

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20
The implication of machine learning for financial solvency prediction: an empirical analysis on public listed companies of Bangladesh
The implication of machine learning for financial solvency prediction: an empirical analysis on public listed companies of Bangladesh
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The implication of machine learning for financial solvency prediction: an empirical analysis on public listed companies of Bangladesh

Journal of Asian business and economic studies, 2021-11, Vol.28 (4), p.303-320 [Peer Reviewed Journal]

Mohammad Abdullah. This work is published under http://creativecommons.org/licences/by/4.0/legalcode (the “License”). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License. ;ISSN: 2515-964X ;EISSN: 2515-964X ;DOI: 10.1108/JABES-11-2020-0128

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