Is Web of Science Citation Data Reliable for Research Assessment? - CASRAI

We’re sharing this article early to provide faster access to peer-reviewed, accepted research. It is citable and carries a permanent DOI. This version is subject to further edits and will be replaced automatically by the final Version of Record. All legal disclaimers apply. AbstractThe most significant problem facing software security firms in the current cybersecurity system is the fact that new strains of malware keep on appearing. The achievement of successful detection of malicious software based on both static and dynamic data remains unmet despite the further realization of different approaches to deep learning and machine learning. Defects in encryption, packaging, and distribution, the discrepancies between the distribution of malware samples in families, make this issue even worse. To do actual malware research that utilizes deep learning methods, you will require data scientists of appropriate competence, large amounts of computer power (particularly GPUs) and time. In order to overcome such issues, this approach involves a hybrid approach to feature extraction that integrates wavelet and other statistical features based on benchmarked malware image sets.

The spacecraft delivered materials and equipment for new research studies to the station.

ORCID: orcid.org/0000-0001-8061-88361, Yaser Mehri2, Ali Abdolrazaq Sabbar3, Mohammad Javad Nahvinia3 & … Mohammad Hosein Omid2 We’re sharing this article early to provide faster access to peer-reviewed, accepted research. It is citable and carries a permanent DOI. This version is subject to further edits and will be replaced automatically by the final Version of Record. All legal disclaimers apply.

AcknowledgementsWe would like to thank Prof Alex Sigal (African Health Research Institute, South Africa) for providing the H1299 ACE-2 cell line used in the study. We thank the patients and their families for making this study possible. FundingResearch reported in this publication was supported by the South African Medical Research Council (SA MRC; grant number: 6803/CO AP 2021) with funds received from the Department of Science and Innovation. The content and findings reported/illustrated are the sole deduction, view and responsibility of the researcher and do not reflect the official position and sentiments of the SA MRC.