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1
Convolutional Neural Networks for Leaf Image-Based Plant Disease Classification
Convolutional Neural Networks for Leaf Image-Based Plant Disease Classification
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Convolutional Neural Networks for Leaf Image-Based Plant Disease Classification

IAES International Journal of Artificial Intelligence, 2019-12, Vol.8 (4), p.328 [Peer Reviewed Journal]

Copyright IAES Institute of Advanced Engineering and Science Dec 2019 ;ISSN: 2089-4872 ;EISSN: 2252-8938 ;EISSN: 2089-4872 ;DOI: 10.11591/ijai.v8.i4.pp328-341

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2
Object Detection Techniques: A Review
Object Detection Techniques: A Review
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Object Detection Techniques: A Review

Wasit Journal of Computer and Mathematics Science, 2023-09, Vol.2 (3) [Peer Reviewed Journal]

ISSN: 2788-5879 ;EISSN: 2788-5887 ;DOI: 10.31185/wjcms.165

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3
Spatial Predictions of Debris Flow Susceptibility Mapping Using Convolutional Neural Networks in Jilin Province, China
Spatial Predictions of Debris Flow Susceptibility Mapping Using Convolutional Neural Networks in Jilin Province, China
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Spatial Predictions of Debris Flow Susceptibility Mapping Using Convolutional Neural Networks in Jilin Province, China

Water (Basel), 2020-08, Vol.12 (8), p.2079 [Peer Reviewed Journal]

COPYRIGHT 2020 MDPI AG ;ISSN: 2073-4441 ;EISSN: 2073-4441 ;DOI: 10.3390/w12082079

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4
CNN Variants for Computer Vision: History, Architecture, Application, Challenges and Future Scope
CNN Variants for Computer Vision: History, Architecture, Application, Challenges and Future Scope
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CNN Variants for Computer Vision: History, Architecture, Application, Challenges and Future Scope

Electronics (Basel), 2021-10, Vol.10 (20), p.2470 [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: 2079-9292 ;EISSN: 2079-9292 ;DOI: 10.3390/electronics10202470

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5
Fake news detection: A hybrid CNN-RNN based deep learning approach
Fake news detection: A hybrid CNN-RNN based deep learning approach
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Fake news detection: A hybrid CNN-RNN based deep learning approach

International journal of information management data insights, 2021-04, Vol.1 (1), p.100007, Article 100007 [Peer Reviewed Journal]

2020 The Author(s) ;ISSN: 2667-0968 ;EISSN: 2667-0968 ;DOI: 10.1016/j.jjimei.2020.100007

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6
ACE R-CNN: An Attention Complementary and Edge Detection-Based Instance Segmentation Algorithm for Individual Tree Species Identification Using UAV RGB Images and LiDAR Data
ACE R-CNN: An Attention Complementary and Edge Detection-Based Instance Segmentation Algorithm for Individual Tree Species Identification Using UAV RGB Images and LiDAR Data
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ACE R-CNN: An Attention Complementary and Edge Detection-Based Instance Segmentation Algorithm for Individual Tree Species Identification Using UAV RGB Images and LiDAR Data

Remote sensing (Basel, Switzerland), 2022-07, Vol.14 (13), p.3035 [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: 2072-4292 ;EISSN: 2072-4292 ;DOI: 10.3390/rs14133035

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7
Pulmonary nodule detection using hybrid two‐stage 3D CNNs
Pulmonary nodule detection using hybrid two‐stage 3D CNNs
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Pulmonary nodule detection using hybrid two‐stage 3D CNNs

Medical physics (Lancaster), 2020-08, Vol.47 (8), p.3376-3388 [Peer Reviewed Journal]

2020 American Association of Physicists in Medicine ;2020 American Association of Physicists in Medicine. ;ISSN: 0094-2405 ;EISSN: 2473-4209 ;DOI: 10.1002/mp.14161 ;PMID: 32239521

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8
An Improved Convolutional Neural Network for Text Classification
An Improved Convolutional Neural Network for Text Classification
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An Improved Convolutional Neural Network for Text Classification

Journal of physics. Conference series, 2021-11, Vol.2066 (1), p.12091 [Peer Reviewed Journal]

Published under licence by IOP Publishing Ltd ;ISSN: 1742-6588 ;EISSN: 1742-6596 ;DOI: 10.1088/1742-6596/2066/1/012091

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9
Hybrid deep learning for detecting lung diseases from X-ray images
Hybrid deep learning for detecting lung diseases from X-ray images
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Hybrid deep learning for detecting lung diseases from X-ray images

Informatics in medicine unlocked, 2020, Vol.20, p.100391-100391, Article 100391 [Peer Reviewed Journal]

2020 The Authors ;2020 The Authors. ;2020 The Authors 2020 ;ISSN: 2352-9148 ;EISSN: 2352-9148 ;DOI: 10.1016/j.imu.2020.100391 ;PMID: 32835077

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10
A Performance Comparison and Enhancement of Animal Species Detection in Images with Various R-CNN Models
A Performance Comparison and Enhancement of Animal Species Detection in Images with Various R-CNN Models
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A Performance Comparison and Enhancement of Animal Species Detection in Images with Various R-CNN Models

AI (Basel), 2021-10, Vol.2 (4), p.552-577 [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: 2673-2688 ;EISSN: 2673-2688 ;DOI: 10.3390/ai2040034

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11
Neural Architecture Search for 1D CNNs—Different Approaches Tests and Measurements
Neural Architecture Search for 1D CNNs—Different Approaches Tests and Measurements
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Neural Architecture Search for 1D CNNs—Different Approaches Tests and Measurements

Sensors (Basel, Switzerland), 2021-11, Vol.21 (23), p.7990 [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/s21237990 ;PMID: 34883994

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12
3D fully convolutional networks for subcortical segmentation in MRI: A large-scale study
3D fully convolutional networks for subcortical segmentation in MRI: A large-scale study
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3D fully convolutional networks for subcortical segmentation in MRI: A large-scale study

NeuroImage (Orlando, Fla.), 2018-04, Vol.170, p.456-470 [Peer Reviewed Journal]

2017 Elsevier Inc. ;Copyright © 2017 Elsevier Inc. All rights reserved. ;2017. Elsevier Inc. ;ISSN: 1053-8119 ;EISSN: 1095-9572 ;DOI: 10.1016/j.neuroimage.2017.04.039 ;PMID: 28450139

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13
Crack Detection and Comparison Study Based on Faster R-CNN and Mask R-CNN
Crack Detection and Comparison Study Based on Faster R-CNN and Mask R-CNN
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Crack Detection and Comparison Study Based on Faster R-CNN and Mask R-CNN

Sensors (Basel, Switzerland), 2022-02, Vol.22 (3), p.1215 [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. ;2022 by the authors. 2022 ;ISSN: 1424-8220 ;EISSN: 1424-8220 ;DOI: 10.3390/s22031215 ;PMID: 35161961

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14
Breast tumor segmentation in 3D automatic breast ultrasound using Mask scoring R‐CNN
Breast tumor segmentation in 3D automatic breast ultrasound using Mask scoring R‐CNN
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Breast tumor segmentation in 3D automatic breast ultrasound using Mask scoring R‐CNN

Medical physics (Lancaster), 2021-01, Vol.48 (1), p.204-214 [Peer Reviewed Journal]

2020 American Association of Physicists in Medicine ;2020 American Association of Physicists in Medicine. ;ISSN: 0094-2405 ;EISSN: 2473-4209 ;DOI: 10.1002/mp.14569 ;PMID: 33128230

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15
An Overview of Object Detection and Tracking Algorithms
An Overview of Object Detection and Tracking Algorithms
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An Overview of Object Detection and Tracking Algorithms

Engineering proceedings, 2023-06, Vol.33 (1), p.22 [Peer Reviewed Journal]

EISSN: 2673-4591 ;DOI: 10.3390/engproc2023033022

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16
A Framework for Designing the Architectures of Deep Convolutional Neural Networks
A Framework for Designing the Architectures of Deep Convolutional Neural Networks
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A Framework for Designing the Architectures of Deep Convolutional Neural Networks

Entropy (Basel, Switzerland), 2017-06, Vol.19 (6), p.242 [Peer Reviewed Journal]

ISSN: 1099-4300 ;EISSN: 1099-4300 ;DOI: 10.3390/e19060242

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17
AI EMPOWERED DIAGNOSIS OF PEMPHIGUS: A MACHINE LEARNING APPROACH FOR AUTOMATED SKIN LESION DETECTION
AI EMPOWERED DIAGNOSIS OF PEMPHIGUS: A MACHINE LEARNING APPROACH FOR AUTOMATED SKIN LESION DETECTION
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AI EMPOWERED DIAGNOSIS OF PEMPHIGUS: A MACHINE LEARNING APPROACH FOR AUTOMATED SKIN LESION DETECTION

Informatyka, automatyka, pomiary w gospodarce i ochronie środowiska, 2023-12, Vol.13 (4), p.21-26 [Peer Reviewed Journal]

ISSN: 2083-0157 ;EISSN: 2391-6761 ;DOI: 10.35784/iapgos.5366

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18
Lovebird image classification based on convolutional neural network
Lovebird image classification based on convolutional neural network
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Lovebird image classification based on convolutional neural network

Teknika, 2023-11, Vol.19 (2) [Peer Reviewed Journal]

ISSN: 1693-024X ;EISSN: 2654-4113 ;DOI: 10.36055/tjst.v19i2.21946

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19
Sternum age estimation with dual channel fusion CNN model
Sternum age estimation with dual channel fusion CNN model
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Sternum age estimation with dual channel fusion CNN model

Computer Science and Information Systems, 2023, Vol.20 (1), p.215-228

ISSN: 1820-0214 ;EISSN: 2406-1018 ;DOI: 10.2298/CSIS220825054T

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20
A combined deep CNN-RNN network for rainfall-runoff modelling in Bardha Watershed, India
A combined deep CNN-RNN network for rainfall-runoff modelling in Bardha Watershed, India
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A combined deep CNN-RNN network for rainfall-runoff modelling in Bardha Watershed, India

Artificial intelligence in geosciences, 2024-12, Vol.5, p.100073, Article 100073 [Peer Reviewed Journal]

2024 The Authors ;ISSN: 2666-5441 ;EISSN: 2666-5441 ;DOI: 10.1016/j.aiig.2024.100073

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