Zobrazeno 1 - 10
of 175
pro vyhledávání: '"Cevik, Mucahit"'
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
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
The complexity and ambiguity of financial and economic systems, along with frequent changes in the economic environment, have made it difficult to make precise predictions that are supported by theory-consistent explanations. Interpreting the predict
Externí odkaz:
http://arxiv.org/abs/2303.16149
Consistent and holistic expression of software requirements is important for the success of software projects. In this study, we aim to enhance the efficiency of the software development processes by automatically identifying conflicting and duplicat
Externí odkaz:
http://arxiv.org/abs/2301.03709
Despite the high performance of neural network-based time series forecasting methods, the inherent challenge in explaining their predictions has limited their applicability in certain application areas. Due to the difficulty in identifying causal rel
Externí odkaz:
http://arxiv.org/abs/2301.02332