Similar Search Results

Workforce optimisation for improving customer experience in urban transportation using heuristic mathematical model

Chen, Jie; Shi, Wei; Wang, Xi; Pandian, Sanjeevi; … - In: International journal of shipping and transport … 13 (2021) 5, pp. 538-553

Persistent link: https://www.econbiz.de/10012613766

Artificial intelligence and business applications, an introduction

Xiong, Yu; Xia, Senmao; Wang, Xi - In: International journal of technology management : IJTM 84 (2020) 1/2, pp. 1-7

Persistent link: https://www.econbiz.de/10012533714

Finding the reviews on yelp that actually matter to me : innovative approach of improving recommender systems

Luo, Yi; Tang, Liang; Kim, Eojina; Wang, Xi - In: International journal of hospitality management 91 (2020), pp. 1-10

Persistent link: https://www.econbiz.de/10012389817

Quality and accountability of Large Language Models (LLMs) in healthcare in low- and middle-income countries (LMIC) : a simulated patient study using ChatGPT

Si, Yafei; Yang, Yuji; Wang, Xi; An, Ruopeng; Zu, Jiaqi; … - 2024

Using simulated patients to mimic nine established non-communicable and infectious diseases over 27 trials, we assess ChatGPT's effectiveness and reliability in diagnosing and treating common diseases in low- and middle-income countries. We find ChatGPT's performance varied within a single...

Persistent link: https://www.econbiz.de/10015062654

Quality and accountability of Large Language Models (LLMs) in healthcare in low- and middle-income countries (LMIC) : a simulated patient study using ChatGPT

Si, Yafei; Yang, Yuji; Wang, Xi; An, Ruopeng; Zu, Jiaqi; … - 2024

Persistent link: https://www.econbiz.de/10015045045

Function block-enabled operation planning and machine control in Cloud-DPP

Givehchi, Mohammad; Liu, Yongkui; Wang, Xi Vincent; … - In: International journal of production research 61 (2023) 4, pp. 1168-1184

Persistent link: https://www.econbiz.de/10014226977

Prediction of Arsenic Adsorption on To Metal Organic Frameworks and Adsorption Mechanisms Interpretation by Machine Learning

Xiong, Ting; Cui, Jiawen; Hou, Zemin; Yuan, Xingzhong; … - 2023

Metal organic frameworks (MOFs) is a promising adsorbent for the removal of arsenic (As) from wastewater. The removal efficiency of As is influenced by many factors, such as the textural properties of MOFs, adsorption conditions, and As species. Examining all relevant factors through traditional...

Persistent link: https://www.econbiz.de/10014361121

Data-driven hedging of stock index options via deep learning

Chen, Jie; Li, Lingfei - In: Operations research letters 51 (2023) 4, pp. 408-413

Persistent link: https://www.econbiz.de/10014426577