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Alwyn Tan, Sangeeta Rao and Mo Salman
Effective animal disease reporting is critical for early disease detection and control, but it is often hindered by various human behavioral barriers. This review outlines a comprehensive approach to understanding and addressing these barriers in animal ...
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Guillermo Calahorra-Candao and María José Martín-de Hoyos
This study develops a theoretical framework integrating the Technology Acceptance Model (TAM) and Uses and Gratifications Theory (UGT) to predict and understand the acceptance of voice shopping intentions, particularly through AI-driven voice assistants....
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Sakorn Mekruksavanich and Anuchit Jitpattanakul
Smartphones have become ubiquitous, allowing people to perform various tasks anytime and anywhere. As technology continues to advance, smartphones can now sense and connect to networks, providing context-awareness for different applications. Many individ...
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Yuxin Zhang, Shumian Yang, Lijuan Xu, Xin Li and Dawei Zhao
As the amount of malware has grown rapidly in recent years, it has become the most dominant attack method in network security. Learning execution behavior, especially Application Programming Interface (API) call sequences, has been shown to be effective ...
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Álvaro Rodríguez-Sanz and Luis Rubio Andrada
An important and challenging question for airport operators is the management of airport capacity and demand. Airport capacity depends on the available infrastructure, external factors, and operating procedures. Investments in Air Traffic Management (ATM...
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Moonkyoung Jang
This study delves into the determinants influencing individuals? intentions to adopt telemedicine apps during the COVID-19 pandemic. The study aims to offer a comprehensive framework for understanding behavioral intentions by leveraging the Technology Ac...
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Federico Bizzarri, Alessandro Giuliani and Chiara Mocenni
This work investigates how interpersonal interactions among individuals could affect the dynamics of awareness raising. Even though previous studies on mathematical models of awareness in the decision making context demonstrate how the level of awareness...
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Giuseppe Vizzari and Thomas Cecconello
Pedestrian simulation is a consolidated but still lively area of research. State of the art models mostly take an agent-based perspective, in which pedestrian decisions are made according to a manually defined model. Reinforcement learning (RL), on the o...
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Jaime Pablo Orrego-Oñate, Kelly Clifton, Ricardo Hurtubia
Pág. 105 - 129
We propose a method to estimate mode choice models, where preference parameters are sensitive to the spatial context of the trip origin, challenging traditional assumptions of spatial homogeneity in the relationship between travel modes and the built env...
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Xiaohong Yin, Jun Song and Qiang Liu
The carbon-neutral behavior of building construction companies is a key issue in carbon-neutral research worldwide. However, little is known about the willingness of construction firms to segregate and recycle construction waste. After studying a large a...
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