Zobrazeno 1 - 10
of 473
pro vyhledávání: '"Rizwan, Hamid"'
Autor:
Yutaka Furuta, Rory J. Tinker, Rizwan Hamid, Joy D. Cogan, Kimberly M. Ezell, Devin Oglesbee, Ralph J. DeBerardinis, John A. Phillips, the Undiagnosed Diseases Network
Publikováno v:
Orphanet Journal of Rare Diseases, Vol 19, Iss 1, Pp 1-11 (2024)
Abstract Background The number of known inherited metabolic diseases (IMDs) has been expanding, and the rate of diagnosis is improving with the development of innovative approaches including next generation sequencing (NGS). However, a substantial pr
Externí odkaz:
https://doaj.org/article/5009f7b9676c4d17bda5092fd4409131
Botnet detectors based on machine learning are potential targets for adversarial evasion attacks. Several research works employ adversarial training with samples generated from generative adversarial nets (GANs) to make the botnet detectors adept at
Externí odkaz:
http://arxiv.org/abs/2210.02840
Autor:
Kimberly M. Ezell, Yutaka Furuta, Devin Oglesbee, Eniko K. Pivnick, David Rinker, Jonathan H. Sheehan, Rory J. Tinker, Rizwan Hamid, Joy D. Cogan, Lynette Rives, Serena Neumann, Brian Corner, Mary Koziura, John A. Phillips, III
Publikováno v:
Molecular Genetics and Metabolism Reports, Vol 41, Iss , Pp 101145- (2024)
Autosomal dominant congenital disorder of glycosylation (CDG) type Iw (OMIM# 619714) is caused by a heterozygous mutation in the STT3A gene. Most CDGs have an autosomal recessive (AR) mode of inheritance, but several cases with an autosomal dominant
Externí odkaz:
https://doaj.org/article/115228e2c35b4a0a9e2f7b38a2c25666
A myriad of recent literary works has leveraged generative adversarial networks (GANs) to generate unseen evasion samples. The purpose is to annex the generated data with the original train set for adversarial training to improve the detection perfor
Externí odkaz:
http://arxiv.org/abs/2109.08026
Autor:
Frank Martens, John Heesakkers, Frank Van der Aa, Nikesh Thiruchelvam, Wim Witjes, Christien Caris, Joni Kats, Rizwan Hamid
Publikováno v:
European Urology Open Science, Vol 57, Iss , Pp 91-97 (2023)
Externí odkaz:
https://doaj.org/article/acbd8d5864a141b4915ac095aa93c881
Publikováno v:
In Future Generation Computer Systems January 2024 150:294-302
Publikováno v:
Iberoamerican Journal of Medicine, Vol 5, Iss 2, Pp 78-83 (2023)
Mucocele of Maxillary sinus is a rare entity comprising 2-10% of all mucoceles and develops due to obstruction of drainage ostium. Here, we present a case of maxillary sinus mucocele in a 20-year-old male who presented with diffuse swelling on the le
Externí odkaz:
https://doaj.org/article/d381b4875978401980da3576491db37b
Autor:
Elly Brokamp, Lisa Bastarache, Nancy Cox, Rizwan Hamid, Nikhil K. Khanakari, Gillian Hooker, Megan Shuey
Publikováno v:
Journal of Clinical and Translational Science, Vol 8, Pp 3-3 (2024)
OBJECTIVES/GOALS: Congenital anomalies (CAs) affect 3% of live births, yet the cause of 80% of CAs is unknown and for the 20% with an identified cause, variability in penetrance suggests additional risk drivers exist. Our method for identifying and c
Externí odkaz:
https://doaj.org/article/5fb762e36fbd42b8ae887315d9edea30
Autor:
Sanjay Sinha, Stefan De Wachter, Blayne Welk, Ryuji Sakakibara, Desiree M.J. Vrijens, Charalampos Konstantinidis, Christina-Anastasia Rapidi, Luis Miguel Monteiro, Cristiano Mendes Gomes, Marcus John Drake, Rizwan Hamid
Publikováno v:
Continence, Vol 7, Iss , Pp 101043- (2023)
This is the second manuscript from the Neuro-urology Promotion Committee of the International Continence Society (ICS) discussing uncommon neuro-urological conditions that are not well described in urological literature. Readers are referred to the f
Externí odkaz:
https://doaj.org/article/3897113b307f495f8def920b40cd5fcb
Publikováno v:
Scientific Reports, Vol 12, Iss 1, Pp 1-18 (2022)
Abstract Due to the widespread usage of Android smartphones in the present era, Android malware has become a grave security concern. The research community relies on publicly available datasets to keep pace with evolving malware. However, a plethora
Externí odkaz:
https://doaj.org/article/8f8440d06b3e437894397b5ebf5257f9