Zobrazeno 1 - 10
of 37
pro vyhledávání: '"Lamia Alam"'
Autor:
Anping Xie, Hugo Sax, Oluseyi Daodu, Lamia Alam, Marium Sultan, Clare Rock, Shawna Perry, Ayse Gurses
Publikováno v:
Antimicrobial Stewardship & Healthcare Epidemiology, Vol 3, Pp s68-s70 (2023)
Background: Environmental cleaning is critical in preventing pathogen transmission and potential consecutive healthcare-acquired infections. In operating rooms (ORs), multiple invasive procedures increase the infectious risk for patients, making prop
Externí odkaz:
https://doaj.org/article/e39dbe335839434c9d02cf1f92a14ea1
Autor:
Lamia Alam, Nasser Kehtarnavaz
Publikováno v:
Sensors, Vol 24, Iss 3, p 738 (2024)
This paper discusses the problem of recognizing defective epoxy drop images for the purpose of performing vision-based die attachment inspection in integrated circuit (IC) manufacturing based on deep neural networks. Two supervised and two unsupervis
Externí odkaz:
https://doaj.org/article/5d57f6ba4e0e4d82a98e7c655e80dff9
Autor:
Lamia Alam, Nasser Kehtarnavaz
Publikováno v:
IEEE Access, Vol 10, Pp 83826-83840 (2022)
Defect detection plays a vital role in the manufacturing process of integrated circuits (ICs). Die attachment and wire bonding are two steps of the manufacturing process that determine the power and signal transmission quality and dependability in an
Externí odkaz:
https://doaj.org/article/56e375aa57ab4f7fadef36f4d5ee2918
Autor:
Lamia Alam, Shane Mueller
Publikováno v:
BMC Medical Informatics and Decision Making, Vol 21, Iss 1, Pp 1-15 (2021)
Abstract Background Artificial Intelligence has the potential to revolutionize healthcare, and it is increasingly being deployed to support and assist medical diagnosis. One potential application of AI is as the first point of contact for patients, r
Externí odkaz:
https://doaj.org/article/3c97658d0e164b20ad4359af89e33281
Autor:
Lamia Alam, Nasser Kehtarnavaz
Publikováno v:
Sensors, Vol 23, Iss 10, p 4864 (2023)
In integrated circuit manufacturing, defects in epoxy drops for die attachments are required to be identified during production. Modern identification techniques based on vision-based deep neural networks require the availability of a very large numb
Externí odkaz:
https://doaj.org/article/ba6abb4ab29f4e9e887a3ba6230a6e96
Autor:
Lamia Alam, Mohammed Moshiul Hoque, M. Ali Akber Dewan, Nazmul Siddique, Inaki Rano, Iqbal H. Sarker
Publikováno v:
IEEE Access, Vol 9, Pp 28540-28557 (2021)
Inattentive driving is a key reason of road mishaps causing more deaths than speeding or drunk driving. Research efforts have been made to monitor drivers' attentional states and provide support to drivers. Both invasive and non-invasive methods have
Externí odkaz:
https://doaj.org/article/5f272ad62c244f268b80ed61c08f34f9
Autor:
Lamia Alam, Mohammed Moshiul Hoque
Publikováno v:
Advances in Human-Computer Interaction, Vol 2017 (2017)
Life-like characters are playing vital role in social computing by making human-computer interaction more easy and spontaneous. Nowadays, use of these characters to interact in online virtual environment has gained immense popularity. In this paper,
Externí odkaz:
https://doaj.org/article/85444db6de6747c8a4d2c41828bc9149
Autor:
Lamia Alam, Shane T. Mueller
Publikováno v:
Journal of Cognitive Engineering and Decision Making. 16:63-78
AI systems are increasingly being developed to provide the first point of contact for patients. These systems are typically focused on question-answering and integrating chat systems with diagnostic algorithms, but are likely to suffer from many of t
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::80b61eed4a7050d5e677b4ff92321203
https://doi.org/10.1177/15553434221085114
https://doi.org/10.1177/15553434221085114
Autor:
Lamia Alam, Tauseef Ibne Mamun
Publikováno v:
International Journal of Computer Applications. 183:27-32
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::b722764a4419d02dedb315f199fdb72b
https://doi.org/10.5120/ijca2022921924
https://doi.org/10.5120/ijca2022921924
Autor:
Iñaki Rañó, Lamia Alam, Iqbal H. Sarker, Nazmul Siddique, Mohammed Moshiul Hoque, M. Ali Akber Dewan
Publikováno v:
IEEE Access, Vol 9, Pp 28540-28557 (2021)
Alam, L, Hoque, M M, Ali Akber Dewan, M, Siddique, N, Rano, I & Sarker, I H 2021, ' Active Vision-based Attention Monitoring System for Non-Distracted Driving ', IEEE Access, vol. 9, pp. 28540-28557 . https://doi.org/10.1109/ACCESS.2021.3058205
Alam, L, Hoque, M M, Ali Akber Dewan, M, Siddique, N, Rano, I & Sarker, I H 2021, ' Active Vision-based Attention Monitoring System for Non-Distracted Driving ', IEEE Access, vol. 9, pp. 28540-28557 . https://doi.org/10.1109/ACCESS.2021.3058205
Inattentive driving is a key reason of road mishaps causing more deaths than speeding or drunk driving. Research efforts have been made to monitor drivers’ attentional states and provide support to drivers. Both invasive and non-invasive methods ha
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::2709f7f07d32320a8d84a29568116896
https://ieeexplore.ieee.org/document/9350574/
https://ieeexplore.ieee.org/document/9350574/