Zobrazeno 1 - 10
of 999
pro vyhledávání: '"Karim Muhammad"'
Autor:
Uz Zaman Atteeq, Khan Awais, Zaman Fatima, Khan Muhammad Moheen, Farooq Umar, Shehbaz Tauheed, Karim Muhammad Ramzan Abdul
Publikováno v:
MATEC Web of Conferences, Vol 381, p 02009 (2023)
In this work, pure nickel was reinforced with various contents of h-BN (4 & 8wt.%) and SiC (2, 4, 6 & 8wt.%) prepared via PM route. The synergistic effect of h-BN and SiC on mechanical and microstructural behaviour was investigated. The microstructur
Externí odkaz:
https://doaj.org/article/b0af5efd88d2457a9a5d813ce9ab924b
The digitization of traffic sensing infrastructure has significantly accumulated an extensive traffic data warehouse, which presents unprecedented challenges for transportation analytics. The complexities associated with querying large-scale multi-ta
Externí odkaz:
http://arxiv.org/abs/2405.03076
Autor:
Fahad Aftab, Imran Ahmed, Salahuddin Ahmed, Said Mohammed Ali, Seeba Amenga-Etego, Shabina Ariff, Rajiv Bahl, Abdullah H Baqui, Nazma Begum, Zulfiqar A Bhutta, Godfrey Biemba, Simon Cousens, Vinita Das, Saikat Deb, Usha Dhingra, Arup Dutta, Karen Edmond, Fabian Esamai, Amit Kumar Ghosh, Peter Gisore, Caroline Grogan, Davidson H Hamer, Julie Herlihy, Lisa Hurt, Muhammad Ilyas, Fyezah Jehan, Mohammed Hamad Juma, Michel Kalonji, Rasheda Khanam, Betty R Kirkwood, Aarti Kumar, Alok Kumar, Vishwajeet Kumar, Alexander Manu, Irene Marete, Usma Mehmood, Nicole Minckas, Shambhavi Mishra, Dipak K Mitra, Mamun Ibne Moin, Karim Muhammad, Sam Newton, Serge Ngaima, Andre Nguwo, Muhammad Imran Nisar, John Otomba, Mohammad Abdul Quaiyum, Sophie Sarrassat, Sunil Sazawal, Katherine E Semrau, Caitlin Shannon, Vinay Pratap Singh, Sajid Soofi, Seyi Soremekun, Atifa Mohammed Suleiman, Venantius Sunday, Thandassery R Dilip, Antoinette Tshefu, Yaqub Wasan, Kojo Yeboah-Antwi, Sachiyo Yoshida, Anita K Zaidi, Alliance for Maternal and Newborn Health Improvement (AMANHI) maternal morbidity study group
Publikováno v:
PLoS Medicine, Vol 18, Iss 6, p e1003644 (2021)
BackgroundMaternal morbidity occurs several times more frequently than mortality, yet data on morbidity burden and its effect on maternal, foetal, and newborn outcomes are limited in low- and middle-income countries. We aimed to generate prospective,
Externí odkaz:
https://doaj.org/article/97637950e5f24154bacc55db65020f74
Autor:
Imran Ahmed, Said Mohammed Ali, Seeba Amenga-Etego, Shabina Ariff, Rajiv Bahl, Abdullah H Baqui, Nazma Begum, Nita Bhandari, Kiran Bhatia, Zulfiqar A Bhutta, Godfrey Biemba, Saikat Deb, Usha Dhingra, Brinda Dube, Arup Dutta, Karen Edmond, Fabian Esamai, Wafaie Fawzi, Amit Kumar Ghosh, Peter Gisore, Caroline Grogan, Davidson H Hamer, Julie Herlihy, Lisa Hurt, Muhammad Ilyas, Fyezah Jehan, Michel Kalonji, Jasmine Kaur, Rasheda Khanam, Betty Kirkwood, Aarti Kumar, Alok Kumar, Vishwajeet Kumar, Alexander Manu, Irene Marete, Honorati Masanja, Sarmila Mazumder, Usma Mehmood, Shambhavi Mishra, Dipak K Mitra, Erick Mlay, Sanjana Brahmawar Mohan, Mamun Ibne Moin, Karim Muhammad, Alfa Muhihi, Samuel Newton, Serge Ngaima, Andre Nguwo, Imran Nisar, Maureen O'Leary, John Otomba, Pawankumar Patil, Mohammad Abdul Quaiyum, Mohammed Hefzur Rahman, Sunil Sazawal, Katherine EA Semrau, Caitlin Shannon, Emily R Smith, Sajid Soofi, Seyi Soremekun, Venantius Sunday, Sunita Taneja, Antoinette Tshefu, Yaqub Wasan, Kojo Yeboah-Antwi, Sachiyo Yoshida, Anita Zaidi
Publikováno v:
The Lancet Global Health, Vol 6, Iss 12, Pp e1297-e1308 (2018)
Summary: Background: Modelled mortality estimates have been useful for health programmes in low-income and middle-income countries. However, these estimates are often based on sparse and low-quality data. We aimed to generate high quality data about
Externí odkaz:
https://doaj.org/article/d66eec5d55a24dfeb9587cf947d37def
To ensure the safe and efficient navigation of autonomous vehicles and advanced driving assistance systems in complex traffic scenarios, predicting the future bounding boxes of surrounding traffic agents is crucial. However, simultaneously predicting
Externí odkaz:
http://arxiv.org/abs/2308.06628
Autor:
Karim, Muhammad Mahmudul, Noman, Abu Hanifa Md., Hassan, M. Kabir, Khan, Asif, Kawsar, Najmul Haque
Publikováno v:
International Journal of Islamic and Middle Eastern Finance and Management, 2024, Vol. 17, Issue 4, pp. 662-692.
Externí odkaz:
http://www.emeraldinsight.com/doi/10.1108/IMEFM-02-2023-0069
Autor:
Mohamad Ariffin, Mohamad Asmawi1, Abdul Karim, Muhammad Khalis1 mkhalis@upm.edu.my, Abd Rahman, Mohd Amiruddin1, Mohd Zaid, Mohd Hafiz1, Harun, Hanif Haspi2
Publikováno v:
Malaysian Journal of Medicine & Health Sciences. 2024 Supplement, Vol. 20, p125-131. 7p.
Detecting dangerous traffic agents in videos captured by vehicle-mounted dashboard cameras (dashcams) is essential to facilitate safe navigation in a complex environment. Accident-related videos are just a minor portion of the driving video big data,
Externí odkaz:
http://arxiv.org/abs/2209.07922
The vast network of bridges in the United States raises a high requirement for maintenance and rehabilitation. The massive cost of manual visual inspection to assess bridge conditions is a burden to some extent. Advanced robots have been leveraged to
Externí odkaz:
http://arxiv.org/abs/2209.02190
Aerial robots such as drones have been leveraged to perform bridge inspections. Inspection images with both recognizable structural elements and apparent surface defects can be collected by onboard cameras to provide valuable information for the cond
Externí odkaz:
http://arxiv.org/abs/2209.02141