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1
A Robust Hybrid Convolutional Network for Tumor Classification Using Brain MRI Image Datasets
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A Robust Hybrid Convolutional Network for Tumor Classification Using Brain MRI Image Datasets

International journal of advanced computer science & applications, 2024-01, Vol.15 (4)

2024. This work is licensed 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: 2158-107X ;EISSN: 2156-5570 ;DOI: 10.14569/IJACSA.2024.0150459

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2
CLASSIFICATION BY A STACKING MODEL USING CNN FEATURES FOR MEDICAL IMAGE DIAGNOSIS
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CLASSIFICATION BY A STACKING MODEL USING CNN FEATURES FOR MEDICAL IMAGE DIAGNOSIS

Scientific Bulletin. Series C, Electrical Engineering and Computer Science, 2024-01 (1), p.3 [Peer Reviewed Journal]

Copyright University Polytechnica of Bucharest 2024 ;ISSN: 2286-3540

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3
Automated Parkinson's Disease Detection: A Review of Techniques, Datasets, Modalities, and Open Challenges
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Automated Parkinson's Disease Detection: A Review of Techniques, Datasets, Modalities, and Open Challenges

International journal on smart sensing and intelligent systems, 2024-01, Vol.17 (1) [Peer Reviewed Journal]

2024. This work is published under http://creativecommons.org/licenses/by-nc-nd/4.0 (the “License”). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License. ;EISSN: 1178-5608 ;DOI: 10.2478/ijssis-2024-0008

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4
Artificial Intelligence System for Malaria Diagnosis
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Artificial Intelligence System for Malaria Diagnosis

International journal of advanced computer science & applications, 2024-01, Vol.15 (3)

2024. This work is licensed 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: 2158-107X ;EISSN: 2156-5570 ;DOI: 10.14569/IJACSA.2024.0150392

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5
SNC_Net: Skin Cancer Detection by Integrating Handcrafted and Deep Learning-Based Features Using Dermoscopy Images
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SNC_Net: Skin Cancer Detection by Integrating Handcrafted and Deep Learning-Based Features Using Dermoscopy Images

Mathematics (Basel), 2024-04, Vol.12 (7), p.1030 [Peer Reviewed Journal]

COPYRIGHT 2024 MDPI AG ;2024 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/math12071030

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6
Remote sensing image information extraction based on Compensated Fuzzy Neural Network and big data analytics
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Remote sensing image information extraction based on Compensated Fuzzy Neural Network and big data analytics

BMC medical imaging, 2024-04, Vol.24 (1), p.86-86 [Peer Reviewed Journal]

2024. The Author(s). ;COPYRIGHT 2024 BioMed Central Ltd. ;2024. This work is licensed 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 ;ISSN: 1471-2342 ;EISSN: 1471-2342 ;DOI: 10.1186/s12880-024-01266-9 ;PMID: 38600525

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7
TXAI-ADV: Trustworthy XAI for Defending AI Models against Adversarial Attacks in Realistic CIoT
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TXAI-ADV: Trustworthy XAI for Defending AI Models against Adversarial Attacks in Realistic CIoT

Electronics (Basel), 2024-05, Vol.13 (9), p.1769 [Peer Reviewed Journal]

COPYRIGHT 2024 MDPI AG ;2024 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/electronics13091769

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8
Lightweight Low-Rank Adaptation Vision Transformer Framework for Cervical Cancer Detection and Cervix Type Classification
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Lightweight Low-Rank Adaptation Vision Transformer Framework for Cervical Cancer Detection and Cervix Type Classification

Bioengineering (Basel), 2024-05, Vol.11 (5), p.468 [Peer Reviewed Journal]

COPYRIGHT 2024 MDPI AG ;2024 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: 2306-5354 ;EISSN: 2306-5354 ;DOI: 10.3390/bioengineering11050468 ;PMID: 38790335

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  1. Peer-reviewed Journals (6)

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