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Rice Leaf Disease Classification—A Comparative Approach Using Convolutional Neural Network (CNN), Cascading Autoencoder with Attention Residual U-Net (CAAR-U-Net), and MobileNet-V2 Architectures

• Authors : Dutta, Monoronjon; Islam Sujan, Md Rashedul; Mojumdar, Mayen Uddin

Subjects: cascading autoencoder with attention residual U-net (CAAR-U-Net); convolutional neural network (CNN); mobilenetv2

• Source: Dutta , M , Islam Sujan , M R , Mojumdar , M U , Chakraborty , N R , Marouf , A A , Rokne , J G & Alhajj , R 2024 , ' Rice Leaf Disease Classification—A Comparative Approach Using

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Butterfly network:a convolutional neural network with a new architecture for multi-scale semantic segmentation of pedestrians

• Authors : Alavianmehr, M. A.; Helfroush, M. S.; Danyali, H.

Subjects: Butterfly network (BF-Net); Convolutional neural network; Pedestrian detection

• Source: Alavianmehr , M A , Helfroush , M S , Danyali , H & Tashk , A 2023 , ' Butterfly network : a convolutional

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An efficient Parkinson's disease detection framework:Leveraging time-frequency representation and AlexNet convolutional neural network

• Authors : Siuly, Siuly; Khare, Smith K.; Kabir, Enamul

Subjects: AlexNet CNN; Electroencephalogram signals; Feature extraction

• Source: Siuly , S , Khare , S K , Kabir , E , Sadiq , M T & Wang , H 2024 , ' An efficient Parkinson's disease detection framework : Leveraging time-frequency representation and AlexNet

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Deep Learning-Based Fault Location Framework in Power Distribution Grids Employing Convolutional Neural Network Based on Capsule Network

• Authors : Mirshekali, Hamid; Keshavarz, Ahmad; Dashti, Rahman

• Source: Mirshekali , H , Keshavarz , A , Dashti , R , Hafezi , S & Shaker , H R 2023 , ' Deep Learning-Based Fault Location Framework in Power Distribution Grids Employing

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Quality Assessment Assistance of Lateral Knee X-rays:A Hybrid Convolutional Neural Network Approach

• Authors : Lysdahlsgaard, Simon; Šegota , Sandi Baressi; Hess, Søren

Subjects: artificial neural networks; hybrid intelligent systems; image classification

• Source: Lysdahlsgaard , S , Šegota , S B , Hess , S , Antulov , R , Weber Kusk , M & Car , Z 2023 , ' Quality Assessment Assistance of Lateral Knee X-rays : A Hybrid

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Tactile-Based Fabric Defect Detection Using Convolutional Neural Network With Attention Mechanism

• Authors : Fang, Bin; Long, Xingming; Sun, Fuchun

Subjects: Attention mechanism; defect detection; vision-based tactile sensor

• Source: Fang , B , Long , X , Sun , F , Liu , H , Zhang , S & Fang , C 2022 , ' Tactile-Based Fabric Defect Detection Using Convolutional Neural

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Convolutional neural network performance compared to radiologists in detecting intracranial hemorrhage from brain computed tomography: A systematic review and meta-analysis

• Authors : Daugaard Jørgensen, Mia; Antulov, Ronald; Hess, Søren

• Source: Daugaard Jørgensen , M , Antulov , R , Hess , S & Lysdahlgaard , S 2022 , ' Convolutional neural network

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A new deep convolutional neural network design with efficient learning capability: Application to CT image synthesis from MRI

• Authors : Bahrami, Abass; Karimian, Alireza; Fatemizadeh, Emad

Subjects: ATLAS; deep learning; machine learning

• Source: Bahrami, A, Karimian, A, Fatemizadeh, E, Arabi, H & Zaidi, H 2020, 'A new deep convolutional neural network

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Automatic Segmentation of Colorectal Polyps based on a Novel and Innovative Convolutional Neural Network Approach

• Authors : Tashk, Ashkan; Herp, Jürgen; S. Nadimi, Esmaeil

• Source: Tashk , A , Herp , J & S. Nadimi , E 2019 , ' Automatic Segmentation of Colorectal Polyps based on a Novel and Innovative Convolutional

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Semantic Segmentation of Mixed Crops using Deep Convolutional Neural Network

• Authors : Mortensen, Anders Krogh; Dyrmann, Mads; Karstoft, Henrik

• Source: Mortensen , A K , Dyrmann , M , Karstoft , H , Nyholm Jørgensen , R & Gislum , R 2016 , ' Semantic Segmentation of Mixed Crops using Deep Convolutional

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