journal HD HD - Moozonian

GitHub Repo https://github.com/hsayoud/HDSKD-Journal

hsayoud/HDSKD-Journal

International Journal of Hidden Data Mining and Scientific Knowledge Discovery

GitHub Repo https://github.com/vladotrajkovic/luminary-hd-journal

vladotrajkovic/luminary-hd-journal

No repository description available.

GitHub Repo https://github.com/ilya-epifanov/docker-hdfs-journalnode

ilya-epifanov/docker-hdfs-journalnode

No repository description available.

GitHub Repo https://github.com/sayoud/HDSKD-Journal

sayoud/HDSKD-Journal

International journal of Hidden Data Mining and Scientific Knowledge Discovery

GitHub Repo https://github.com/husnulhotimah12/vdfgvd

husnulhotimah12/vdfgvd

https://www.deviantart.com/danangerlanggaputra/journal/Nezd-Venom-2-Vront-teljes-film-magyarul-HD-897194057

GitHub Repo https://github.com/Chronowanderer/aLBcells-for-HDsystem

Chronowanderer/aLBcells-for-HDsystem

Codes for Yan, Y., Burgess, N., & Bicanski, A. (2021). A model of head direction and landmark coding in complex environments. PLOS Computational Biology, 17(9): e1009434. doi.org/10.1371/journal.pcbi.1009434

GitHub Repo https://github.com/SparseGridsForDynamicEcon/HDMR

SparseGridsForDynamicEcon/HDMR

Example codes for the SIAM Journal on Scientific Computing (SISC) paper "High-Dimensional Dynamic Stochastic Model Representation"

GitHub Repo https://github.com/danfenghong/ISPRS_HD-Net

danfenghong/ISPRS_HD-Net

Yuxuan Li, Danfeng Hong, Chenyu Li, Jing Yao, Jocelyn Chanussot. HD-Net: High-resolution decoupled network for building footprint extraction via deeply supervised body and boundary decomposition, ISPRS Journal of Photogrammetry and Remote Sensing, 2024.

GitHub Repo https://github.com/albinmmk/hdm2_p28_dock

albinmmk/hdm2_p28_dock

Data available for journal article titled 'Azurin-Based Peptide p28 Disrupts p53-HDM2 Interactions'

GitHub Repo https://github.com/zhiqinzhu123/HDR-Multi-exposure-image-Fusion-Source-Code-

zhiqinzhu123/HDR-Multi-exposure-image-Fusion-Source-Code-

Matlab Source Code of article “ A Precise Multi-Exposure Image Fusion Method Based on Low-level Features” research use only. Please cite： Qi, G.; Chang, L.; Luo, Y.; Chen, Y.; Zhu, Z.; Wang, S. A Precise Multi-Exposure Image Fusion Method Based on Low-level Features. Sensors 2020, 20, 1597. BIBTEX: @Article{s20061597, AUTHOR = {Qi, Guanqiu and Chang, Liang and Luo, Yaqin and Chen, Yinong and Zhu, Zhiqin and Wang, Shujuan}, TITLE = {A Precise Multi-Exposure Image Fusion Method Based on Low-level Features}, JOURNAL = {Sensors}, VOLUME = {20}, YEAR = {2020}, NUMBER = {6}, ARTICLE-NUMBER = {1597} }