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Yongyao Jiang and Chaowei Yang
With recent advancements, large language models (LLMs) such as ChatGPT and Bard have shown the potential to disrupt many industries, from customer service to healthcare. Traditionally, humans interact with geospatial data through software (e.g., ArcGIS 1...
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Dachen Sheng and Heather Montgomery
Taking advantage of a recently established dataset that records financial analysts? firm visits, this study examines the factors that determine the number of buy-side and sell-side analyst firm visits in a given year and how investors respond to these vi...
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Fabio Banchelli, Marta Garcia-Gasulla and Filippo Mantovani
Top-Down models are defined by hardware architects to provide information on the utilization of different hardware components. The target is to isolate the users from the complexity of the hardware architecture while giving them insight into how efficien...
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Thoralf Reis, Alexander Kreibich, Sebastian Bruchhaus, Thomas Krause, Florian Freund, Marco X. Bornschlegl and Matthias L. Hemmje
The increasing availability of vast quantities of data from various sources significantly impacts the insurance industry, although this industry has always been data driven. It accelerates manual processes and enables new products or business models. On ...
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Ronny Seiger, Marco Franceschetti and Barbara Weber
The increasing number of IoT devices equipped with sensors and actuators pervading every domain of everyday life allows for improved automated monitoring and analysis of processes executed in IoT-enabled environments. While sophisticated analysis methods...
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Naning Fatmawatie
Pág. 101 - 112
AbstractionThe success of economic development has indicators of economic factors and non-economic factors. The impact of the corona has made the Indonesian economy slump. The business world in various sectors, including trade, industry, and services, ha...
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Gui Ren, Zhenxian Huo, Jingjing Wang and Xihe Liu
In order to help enterprises to achieve high-quality development and improve the capital market regulatory policies by supporting with more factual basis from China, this paper conducts research on clarifying impact mechanism of digital transformation on...
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Nurwatik Nurwatik, Jung-Hong Hong, Lalu Muhamad Jaelani, Hepi Hapsari Handayani, Agung Budi Cahyono and Mohammad Rohmaneo Darminto
This paper proposes to identify the variation of accessibility to healthcare facilities based on vulnerability assessments of floods by using open source data. The open source data comprises Open Street Map (OSM), world population, and statistical data. ...
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Grayson R. Morgan, Cuizhen Wang, Zhenlong Li, Steven R. Schill and Daniel R. Morgan
Deep learning techniques are increasingly being recognized as effective image classifiers. Aside from their successful performance in past studies, the accuracies have varied in complex environments, in comparison with the popularly of applied machine le...
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Gabriele Papadia, Massimo Pacella and Vincenzo Giliberti
This paper focuses on the automatic analysis of conversation transcriptions in the call center of a customer care service. The goal is to recognize topics related to problems and complaints discussed in several dialogues between customers and agents. Our...
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