skip to main content
Language:
Search Limited to: Search Limited to: Resource type Show Results with: Show Results with: Search type Index
Show only
Result Number Material Type Add to My Shelf Action Record Details and Options
1
A Robust Hybrid Convolutional Network for Tumor Classification Using Brain MRI Image Datasets
Material Type:
Article
Add to My Research

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

Full text available

2
Automated Parkinson's Disease Detection: A Review of Techniques, Datasets, Modalities, and Open Challenges
Material Type:
Article
Add to My Research

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

Full text available

3
Deep Convolutional Neural Networks Fusion with Support Vector Machines and K-Nearest Neighbors for Precise Crop Leaf Disease Classification
Material Type:
Article
Add to My Research

Deep Convolutional Neural Networks Fusion with Support Vector Machines and K-Nearest Neighbors for Precise Crop Leaf Disease Classification

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.2024.0150356

Full text available

4
Forging the Forger: An Attempt to Improve Authorship Verification via Data Augmentation
Material Type:
Article
Add to My Research

Forging the Forger: An Attempt to Improve Authorship Verification via Data Augmentation

arXiv.org, 2024-03

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. ;http://creativecommons.org/licenses/by/4.0 ;EISSN: 2331-8422 ;DOI: 10.48550/arxiv.2403.11265

Full text available

5
Predicting Overtakes in Trucks Using CAN Data
Material Type:
Article
Add to My Research

Predicting Overtakes in Trucks Using CAN Data

arXiv.org, 2024-04

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. ;http://creativecommons.org/licenses/by/4.0 ;EISSN: 2331-8422 ;DOI: 10.48550/arxiv.2404.05723

Full text available

6
Remote sensing image information extraction based on Compensated Fuzzy Neural Network and big data analytics
Material Type:
Article
Add to My Research

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

Full text available

7
Structural- and DTI- MRI enable automated prediction of IDH Mutation Status in CNS WHO Grade 2-4 glioma patients: a deep Radiomics Approach
Material Type:
Article
Add to My Research

Structural- and DTI- MRI enable automated prediction of IDH Mutation Status in CNS WHO Grade 2-4 glioma patients: a deep Radiomics Approach

BMC medical imaging, 2024-05, Vol.24 (1), p.104-104 [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. ;ISSN: 1471-2342 ;EISSN: 1471-2342 ;DOI: 10.1186/s12880-024-01274-9 ;PMID: 38702613

Full text available

Searching Remote Databases, Please Wait