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pro vyhledávání: '"Cevik P"'
The rapid expansion of global cloud infrastructures, coupled with the growing volume and complexity of network traffic, has fueled active research into scalable and resilient Traffic Engineering (TE) solutions for Wide Area Networks (WANs). Despite r
Externí odkaz:
http://arxiv.org/abs/2412.17248
Kidney transplantation is the preferred treatment for end-stage renal disease, yet the scarcity of donors and inefficiencies in allocation systems create major bottlenecks, resulting in prolonged wait times and alarming mortality rates. Despite their
Externí odkaz:
http://arxiv.org/abs/2410.09116
This paper explores the integration of Automated Guided Vehicles (AGVs) in warehouse order picking, a crucial and cost-intensive aspect of warehouse operations. The booming AGV industry, accelerated by the COVID-19 pandemic, is witnessing widespread
Externí odkaz:
http://arxiv.org/abs/2312.16026
Same-Day Delivery (SDD) services aim to maximize the fulfillment of online orders while minimizing delivery delays but are beset by operational uncertainties such as those in order volumes and courier planning. Our work aims to enhance the operationa
Externí odkaz:
http://arxiv.org/abs/2311.12975
Autor:
Arif Alper Cevik, Fikri M. Abu-Zidan
Publikováno v:
International Journal of Emergency Medicine, Vol 17, Iss 1, Pp 1-12 (2024)
Abstract Background Research training is important for medical trainees, because it improves their critical thinking, problem-solving, and the application of scientific principles to clinical practice. The COVID-19 Pandemic, which limited trainees’
Externí odkaz:
https://doaj.org/article/4e91dfa9fec54a248eaf6b7a21058503
Accurately predicting hospital length-of-stay at the time a patient is admitted to hospital may help guide clinical decision making and resource allocation. In this study we aim to build a decision support system that predicts hospital length-of-stay
Externí odkaz:
http://arxiv.org/abs/2308.02730
Few-shot learning-the ability to train models with access to limited data-has become increasingly popular in the natural language processing (NLP) domain, as large language models such as GPT and T0 have been empirically shown to achieve high perform
Externí odkaz:
http://arxiv.org/abs/2306.08058
Ride-pooling services have been growing in popularity, increasing the need for efficient and effective operations. The main goal of ride-pooling services is to maximize the number of passengers served while minimizing wait and delay times. However, f
Externí odkaz:
http://arxiv.org/abs/2305.12028
This paper explores the use of text data augmentation techniques to enhance conflict and duplicate detection in software engineering tasks through sentence pair classification. The study adapts generic augmentation techniques such as shuffling, back
Externí odkaz:
http://arxiv.org/abs/2305.09608
Autor:
David O. Alao, Yaman Hukan, Nada Mohammed, Kinza Moin, Resshme K. Sudha, Arif Alper Cevik, Fikri M. Abu-Zidan
Publikováno v:
International Journal of Emergency Medicine, Vol 17, Iss 1, Pp 1-7 (2024)
Abstract Introduction and aim External validations of the Good Outcome Following Attempted Resuscitation (GO-FAR) score have been in populations where Do Not Attempt Resuscitation (DNAR) is practised. We aim to externally validate the GO-FAR score in
Externí odkaz:
https://doaj.org/article/a45d08df720e4ddeaf0e12dea495bf0f