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Peerj. Computer Science|June 18, 2021
Using application benchmark call graphs to quantify and improve the practical relevance of microbenchmark suitesMartin Grambow, Christoph Laaber, Philipp Leitner, et al.Peerj. Computer Science|June 18, 2021
ECOVNet: a highly effective ensemble based deep learning model for detecting COVID-19Nihad Karim Chowdhury, Muhammad Ashad Kabir, Md Muhtadir Rahman, et al.Peerj. Computer Science|June 18, 2021
Toward fault tolerant modelling for SCADA based electricity distribution networks, machine learning approachAladdin Masri, Muhannad Al-JabiPeerj. Computer Science|November 26, 2021
How Internet of Things responds to the COVID-19 pandemicTaher A Ghaleb, Rasha A Bin-Thalab, Ghadir AbdulhakimAbdo Abdullah AlselwiPeerj. Computer Science|January 17, 2022
Comparative analysis of machine learning approaches to analyze and predict the COVID-19 outbreakMuhammad Naeem, Jian Yu, Muhammad Aamir, et al.Peerj. Computer Science|January 17, 2022
Person image generation through graph-based and appearance-decomposed generative adversarial networkYuling He, Yingding Zhao, Wenji Yang, et al.Peerj. Computer Science|January 17, 2022
Who participates in computer science education studies? A literature review on K-12 subjectsAnna van der Meulen, Felienne Hermans, Efthimia Aivaloglou, et al.Peerj. Computer Science|January 17, 2022
Recommendation algorithm based on attributed multiplex heterogeneous networkZhisheng Yang, Jinyong ChengPeerj. Computer Science|December 13, 2021
NFAD: fixing anomaly detection using normalizing flowsArtem Ryzhikov, Maxim Borisyak, Andrey Ustyuzhanin, et al.Peerj. Computer Science|December 13, 2021
Federated learning enables intelligent reflecting surface in fog-cloud enabled cellular networkAbdullah Lakhan, Mazin Abed Mohammed, Seifedine Kadry, et al.Pageof 290