Zobrazeno 1 - 10
of 2 551
pro vyhledávání: '"J.4"'
When discussing difficult topics online, is it common to meaningfully engage with people from diverse perspectives? Why or why not? Could features of the online environment be redesigned to encourage civil conversation across difference? In this pape
Externí odkaz:
http://arxiv.org/abs/2409.03989
Wider access to therapeutic care is one of the biggest challenges in mental health treatment. Due to institutional barriers, some people seeking mental health support have turned to large language models (LLMs) for personalized therapy, even though t
Externí odkaz:
http://arxiv.org/abs/2409.02244
Autor:
Henry, Nathan
"Harden" is a Progressive Web Application (PWA) for Ecological Momentary Assessment (EMA) developed mostly in R, which runs on all platforms with an internet connection, including iOS and Android. It leverages the shinyMobile package for creating a r
Externí odkaz:
http://arxiv.org/abs/2409.00582
Autor:
Nguyen, Dang Viet Anh, Flensburg, J. Victor, Cerreto, Fabrizio, Pascariu, Bianca, Pellegrini, Paola, Azevedo, Carlos Lima, Rodrigues, Filipe
With the expansion of cities over time, URT (Urban Rail Transit) networks have also grown significantly. Demand prediction plays an important role in supporting planning, scheduling, fleet management, and other operational decisions. In this study, w
Externí odkaz:
http://arxiv.org/abs/2408.15619
Graphs are often used to model relationships between entities. The identification and visualization of clusters in graphs enable insight discovery in many application areas, such as life sciences and social sciences. Force-directed graph layouts prom
Externí odkaz:
http://arxiv.org/abs/2408.11673
Autor:
Minato, Hiroaki
This paper presents a Bayesian multilevel modeling approach for estimating well-level oil and gas production capacities across multiple time periods within small geographic areas. Focusing on basins, which are economically significant drilling region
Externí odkaz:
http://arxiv.org/abs/2408.11167
Autor:
Dorsch, John, Deroy, Ophelia
This study explores whether labeling AI as "trustworthy" or "reliable" influences user perceptions and acceptance of automotive AI technologies. Using a one-way between-subjects design, the research involved 478 online participants who were presented
Externí odkaz:
http://arxiv.org/abs/2408.10905
In this paper, we present Deep-MacroFin, a comprehensive framework designed to solve partial differential equations, with a particular focus on models in continuous time economics. This framework leverages deep learning methodologies, including conve
Externí odkaz:
http://arxiv.org/abs/2408.10368
This study investigates the meta-issues surrounding social media, which, while theoretically designed to enhance social interactions and improve our social lives by facilitating the sharing of personal experiences and life events, often results in ad
Externí odkaz:
http://arxiv.org/abs/2408.10351
Autor:
Wang, Shiqi, Zhao, Zhouye, Xie, Yuhang, Ma, Mingchuan, Chen, Zirui, Wang, Zeyu, Su, Bohao, Xu, Wenrui, Li, Tianyi
Urban mobility and transportation systems have been profoundly transformed by the advancement of autonomous vehicle technologies. Baidu Apollo Go, a pioneer robotaxi service from the Chinese tech giant Baidu, has recently been widely deployed in majo
Externí odkaz:
http://arxiv.org/abs/2408.10088