Search Results - "Mish function"

Encryption and Compression Classification of Internet of Things Traffic

Authors: M Saleh, Mariam Najdat

Source: Browse all Theses and Dissertations

Subject Terms: Department of Computer Science and Engineering, Physical Sciences and Mathematics, Computer Sciences, Engineering, Computer Engineering, Artificial Intelligence, Computer Science, Information Science, Information Technology, IoT, Encryption, Compression, Classification, Deep learning, Mish function, Entropy test, Chi-squared test, Anderson-Darling test, File Type, Inception Network, File Classification, Histogram, Kernel Density Estimation, Cumulative Density Function

File Description: application/pdf

Relation: https://corescholar.libraries.wright.edu/etd_all/2819; https://corescholar.libraries.wright.edu/context/etd_all/article/3960/viewcontent/send.pdf

Availability: https://corescholar.libraries.wright.edu/etd_all/2819
https://corescholar.libraries.wright.edu/context/etd_all/article/3960/viewcontent/send.pdf

Recognition of Plastic Bottles Region Using Improved DeepLab v3+

Authors: Murata, Yusuke Kamiya, Tohru 402 et al.

Subject Terms: Deep Learning, Semantic Segmentation, Convolutional Neural Network (CNN), DeepLab v3+, Efficient Channel Attention Block (ECA Block), Mish function

File Description: application/pdf

Relation: Proceedings of International Conference on Artificial Life & Robotics (ICAROB2025); 825; 828; https://kyutech.repo.nii.ac.jp/record/2001637/files/10450823.pdf; https://hdl.handle.net/10228/0002001637; https://kyutech.repo.nii.ac.jp/records/2001637

Availability: https://kyutech.repo.nii.ac.jp/record/2001637/files/10450823.pdf
https://hdl.handle.net/10228/0002001637
https://kyutech.repo.nii.ac.jp/records/2001637

Recognition of Plastic Bottles Region Using Improved DeepLab v3+.

Authors: 80295005 Kamiya, Tohru Murata, Yusuke

Index Terms: Deep Learning, Semantic Segmentation, Convolutional Neural Network (CNN), DeepLab v3+, Efficient Channel Attention Block (ECA Block), Mish function, Conference Paper., VoR.

URL: http://hdl.handle.net/10228/0002001637
https://kyutech.repo.nii.ac.jp/records/2001637
https://kyutech.repo.nii.ac.jp/record/2001637/files/10450823.pdf

A novel deep learning based method for COVID-19 detection from CT image.

Authors: JavadiMoghaddam S Gholamalinejad H

Source: Biomedical signal processing and control [Biomed Signal Process Control] 2021 Sep; Vol. 70, pp. 102987. Date of Electronic Publication: 2021 Jul 21.

Publication Type: Journal Article

Journal Info: Publisher: Elsevier Country of Publication: England NLM ID: 101317299 Publication Model: Print-Electronic Cited Medium: Print ISSN: 1746-8094 (Print) Linking ISSN: 17468094 NLM ISO Abbreviation: Biomed Signal Process Control Subsets: PubMed not MEDLINE