Zobrazeno 1 - 10
of 93
pro vyhledávání: '"Shahid Islam"'
Publikováno v:
Journal of Advanced Transportation, Vol 2024 (2024)
Road accidents are a major cause of injuries and deaths worldwide. Many accident victims lose their lives because of the late arrival of the emergency response team (ERT) at the accident site. Moreover, the ERT often lacks crucial visual information
Externí odkaz:
https://doaj.org/article/32ceb83d47804946b9d6a20e8f447a33
Autor:
Christopher Cartwright, Aamnah Rahman, Shahid Islam, Bridget Lockyer, Euroline Roper, Meegan Worcester, Melany Zarate, Rosemary McEachan, on behalf of the Happy and Healthy Children Steering Group
Publikováno v:
International Journal for Equity in Health, Vol 22, Iss 1, Pp 1-19 (2023)
Abstract Background Involving communities in research priority setting can increase the relevance and efficiency of research, leading to better health outcomes. However these exercises often lack clarity in how communities are involved and the extent
Externí odkaz:
https://doaj.org/article/dd88e7c2af3443dc917a9d48c3a5e2b4
Publikováno v:
Health Expectations, Vol 26, Iss 2, Pp 836-846 (2023)
Abstract Introduction Co‐production with communities is increasingly seen as best practice that can improve the quality, relevance and effectiveness of research and service delivery. Despite this promising position, there remains uncertainty around
Externí odkaz:
https://doaj.org/article/1946c5d34e0545c9aedb24d060b41c07
Autor:
Bridget Lockyer, Rachael H. Moss, Charlotte Endacott, Shahid Islam, Laura Sheard, the Bradford Institute for Health Research Covid‐19 Scientific Advisory Group
Publikováno v:
Health Expectations, Vol 26, Iss 1, Pp 376-387 (2023)
Abstract Background COVID‐19 vaccines have been the central pillar of the public health response to the pandemic, intended to enable us to ‘live with Covid’. It is important to understand change and complexity of COVID‐19 vaccines attitudes a
Externí odkaz:
https://doaj.org/article/7b598acac6004de8b39105f2b345c8fa
Autor:
Natasha Nigar, Muhammad Kashif Shahzad, Shahid Islam, Olukayode Oki, Jose Manappattukunnel Lukose
Publikováno v:
IEEE Access, Vol 11, Pp 89742-89756 (2023)
As a typical scheduling problem, the software project scheduling (SPS) under uncertain and dynamic events has gathered attention of academic researchers and practitioners because it causes tangible and intangible loss and will also influence the proj
Externí odkaz:
https://doaj.org/article/9ad343c27ce949038e9371c0fe36a407
Autor:
Natasha Nigar, Muhammad Kashif Shahzad, Shahid Islam, Olukayode Oki, Jose Manappattukunnel Lukose
Publikováno v:
IEEE Access, Vol 11, Pp 39792-39806 (2023)
The software project scheduling (SPS) problem deals with optimal allocation of employees to tasks such that the project is completed within budget and schedule. This is well addressed in the absence of dynamic events and has been demonstrated in SPS
Externí odkaz:
https://doaj.org/article/9a41a3a694d6423f8a4063226845fbb0
Autor:
Rosemary R. C. McEachan, Rukhsana Rashid, Gillian Santorelli, James Tate, Jamie Thorpe, James B. McQuaid, John Wright, Kate E. Pickett, Kirsty Pringle, Laura Bojke, Sally Jones, Shahid Islam, Simon Walker, Tiffany C. Yang, Maria Bryant
Publikováno v:
Environmental Health, Vol 21, Iss 1, Pp 1-18 (2022)
Abstract Background Air quality is a major public health threat linked to poor birth outcomes, respiratory and cardiovascular disease, and premature mortality. Deprived groups and children are disproportionately affected. Bradford will implement a Cl
Externí odkaz:
https://doaj.org/article/bdfdcb46f7554af2a2b862adee79a71d
Publikováno v:
Research Involvement and Engagement, Vol 8, Iss 1, Pp 1-10 (2022)
Plain English summary Born in Bradford (BiB) is following the lives of more than 36,000 individuals to see why some families are healthier and others are not so. The children in the original study are aged range between 10 and 15 years, all born at t
Externí odkaz:
https://doaj.org/article/ae33be7fdbe7440bb43e5583b1970f1b
A Deep Learning Approach Based on Explainable Artificial Intelligence for Skin Lesion Classification
Publikováno v:
IEEE Access, Vol 10, Pp 113715-113725 (2022)
The skin lesion types result in delayed diagnosis due to high similarity in early stages of the skin cancer. In this regard, deep learning algorithms are well-recognized solutions; however, these black box approaches result in lack of trust as dermat
Externí odkaz:
https://doaj.org/article/3ccf37315264405b99b569ccc89c22b8
Publikováno v:
IEEE Access, Vol 10, Pp 44677-44690 (2022)
The software project scheduling (SPS) is a project-scheduling problem where limited human resources are assigned to the tasks in multi-team project settings. Besides other dynamic events, employees experience evolution has direct influence in complet
Externí odkaz:
https://doaj.org/article/ab7f8d43ae75499395146f5152b598e4