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Efficient personnel scheduling plays a significant role in matching workload demand in organizations. However, staff scheduling is sometimes affected by unexpected events, such as the COVID-19 pandemic, that disrupt regular operations.…

最优化与控制 · 数学 2023-01-10 Mansoor Davoodi , Ana Batista , Abhishek Senapati , Justin M. Calabrese

The COVID-19 pandemic left its unique mark on the 21st century as one of the most significant disasters in history, triggering governments all over the world to respond with a wide range of interventions. However, these restrictions come…

计算工程、金融与科学 · 计算机科学 2021-06-02 Assem Zhunis , Tung-Duong Mai , Sundong Kim

COVID-19 pandemic is severely impacting the lives of billions across the globe. Even after taking massive protective measures like nation-wide lockdowns, discontinuation of international flight services, rigorous testing etc., the infection…

定量方法 · 定量生物学 2020-08-28 Sayantari Ghosh , Saumik Bhattacharya

Whenever countries are threatened by a pandemic, as is the case with the COVID-19 virus, governments should take the right actions to safeguard public health as well as to mitigate the negative effects on the economy. In this regard, there…

机器学习 · 计算机科学 2020-05-18 Luis Miralles-Pechuán , Fernando Jiménez , Hiram Ponce , Lourdes Martínez-Villaseñor

The investment of time and resources for better strategies and methodologies to tackle a potential pandemic is key to deal with potential outbreaks of new variants or other viruses in the future. In this work, we recreated the scene of a…

机器学习 · 计算机科学 2021-04-22 Andrés L. Suárez-Cetrulo , Ankit Kumar , Luis Miralles-Pechuán

Epidemiological models with constant parameters may not capture satisfactory infection patterns in the presence of pharmaceutical and non-pharmaceutical mitigation measures during a pandemic, since infectiousness is a function of time. In…

种群与进化 · 定量生物学 2022-05-16 K. D. Olumoyin , A. Q. M. Khaliq , K. M. Furati

One approach to delay the spread of the novel coronavirus (COVID-19) is to reduce human travel by imposing travel restriction policies. It is yet unclear how effective those policies are on suppressing the mobility trend due to the lack of…

应用统计 · 统计学 2020-05-06 Chenfeng Xiong , Songhua Hu , Mofeng Yang , Hannah N Younes , Weiyu Luo , Sepehr Ghader , Lei Zhang

With more than 1.7 million COVID-19 deaths, identifying effective measures to prevent COVID-19 is a top priority. We developed a mathematical model to simulate the COVID-19 pandemic with digital contact tracing and testing strategies. The…

社会与信息网络 · 计算机科学 2020-12-29 Daniel Xu

In late 2019, COVID-19, a severe respiratory disease, emerged, and since then, the world has been facing a deadly pandemic caused by it. This ongoing pandemic has had a significant effect on different aspects of societies. The uncertainty…

神经与进化计算 · 计算机科学 2021-09-28 Mahdi Rahbar , Samaneh Yazdani

In the wake of COVID-19, every government huddles to find the best interventions that will reduce the number of infection cases while minimizing the economic impact. However, with many intervention policies available, how should one decide…

最优化与控制 · 数学 2021-04-19 Chang Liu , Akshay Budhkar

Recently, there emerged revived interests of designing automatic programs (e.g., using genetic/evolutionary algorithms) to optimize the structure of Convolutional Neural Networks (CNNs) for a specific task. The challenge in designing such…

神经与进化计算 · 计算机科学 2018-06-05 Zhe Li , Xuehan Xiong , Zhou Ren , Ning Zhang , Xiaoyu Wang , Tianbao Yang

Home health care problems consist of scheduling visits to home patients by health professionals while following a series of requirements. This paper studies the Home Health Care Routing and Scheduling Problem, which comprises a…

系统与控制 · 电气工程与系统科学 2022-07-04 Alberto F. Kummer , Olinto C. B. de Araújo , Luciana S. Buriol , Mauricio G. C. Resende

Genetic Programming is an evolutionary algorithm that generates computer programs, or mathematical expressions, to solve complex problems. In this Guide, we demonstrate how to use Genetic Programming to develop surrogate models to mitigate…

The COVID-19 pandemic has been a major challenge to humanity, with 12.7 million confirmed cases as of July 13th, 2020 [1]. In previous work, we described how Artificial Intelligence can be used to tackle the pandemic with applications at…

计算机与社会 · 计算机科学 2020-08-21 Alexandra Luccioni , Joseph Bullock , Katherine Hoffmann Pham , Cynthia Sin Nga Lam , Miguel Luengo-Oroz

A mathematical model for the COVID-19 pandemic spread, which integrates age-structured Susceptible-Exposed-Infected-Recovered-Deceased dynamics with real mobile phone data accounting for the population mobility, is presented. The dynamical…

应用统计 · 统计学 2021-08-24 Ritabrata Dutta , Susana Gomes , Dante Kalise , Lorenzo Pacchiardi

Since the outbreak of COVID-19, it has rapidly evolved into a sudden and major public health emergency globally. With the variants of COVID-19, the difficulty of pandemic control continues to increase, which has brought significant costs to…

应用统计 · 统计学 2022-08-26 Yufei Wang , Mingzhuang Hua , Xuewu Chen , Wendong Chen , Long Cheng

The coronavirus disease 2019 (COVID-19) pandemic has been ongoing for around 3 years, and has infected over 750 million people and caused over 6 million deaths worldwide at the time of writing. Throughout the pandemic, several strategies…

人工智能 · 计算机科学 2023-08-17 Mohamed Harmanani

The emergence of infectious disease COVID-19 has challenged and changed the world in an unprecedented manner. The integration of wireless networks with edge computing (namely wireless edge networks) brings opportunities to address this…

社会与信息网络 · 计算机科学 2022-10-06 Xuran Li , Shuaishuai Guo , Hong-Ning Dai , Dengwang Li

Mathematical modeling of epidemic spreading has been widely adopted to estimate the threats of epidemic diseases (i.e., the COVID-19 pandemic) as well as to evaluate epidemic control interventions. The indoor place is considered to be a…

物理与社会 · 物理学 2022-09-14 Yao Xiao , Mofeng Yang , Zheng Zhu , Hai Yang , Lei Zhang , Sepehr Ghader

Among the genetic algorithms generally used for optimization problems in the recent decades, quantum-inspired variants are known for fast and high-fitness convergence and small resource requirement. Here the application to the patient…

神经与进化计算 · 计算机科学 2025-06-06 Akira SaiToh , Arezoo Modiri , Amit Sawant , Robabeh Rahimi
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