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Published in 2022 at "Artificial Intelligence in Medicine"
DOI: 10.1016/j.artmed.2022.102288
Abstract: COVID-19 is a life-threatening contagious virus that has spread across the globe rapidly. To reduce the outbreak impact of COVID-19 virus illness, continual identification and remote surveillance of patients are essential. Medical service delivery based… read more here.
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Published in 2020 at "Journal of Business Research"
DOI: 10.1016/j.jbusres.2020.03.037
Abstract: Abstract This paper is an initial attempt to use a bibliometric approach for an exhaustive literature review of corporate diversification in order to propose a new comprehensive framework for its study. We conduct an in-depth… read more here.
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Published in 2017 at "Prehospital and Disaster Medicine"
DOI: 10.1017/s1049023x17006471
Abstract: Abstract Introduction The frequency of disasters is increasing around the world with more people being at risk. There is a moral imperative to improve the way in which disaster evaluations are undertaken and reported with… read more here.
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Published in 2020 at "International Journal of Geographical Information Science"
DOI: 10.1080/13658816.2019.1684497
Abstract: ABSTRACT International communication and global cooperation have greatly accelerated the worldwide spread of dengue fever, increasing the impact of imported cases on dengue outbreaks in non-naturally endemic areas. Existing studies mostly focus on describing the… read more here.
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Published in 2021 at "IEEE Robotics and Automation Letters"
DOI: 10.1109/lra.2021.3097274
Abstract: This study presents a framework for capturing human attention in the spatio-temporal domain using eye-tracking glasses. Attention mapping is a key technology for human perceptual activity analysis or Human-Robot Interaction (HRI) to support human visual… read more here.
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Published in 2022 at "IEEE MultiMedia"
DOI: 10.1109/mmul.2022.3144972
Abstract: Image–text retrieval is one challenging task to bridge the modality gap between vision and language. Although the mainstream late fusion schemes could facilitate intramodality correlations, it would result in heavy burden of computation resources and… read more here.
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Published in 2022 at "IEEE transactions on neural networks and learning systems"
DOI: 10.1109/tnnls.2022.3192475
Abstract: Data in the visual world often present long-tailed distributions. However, learning high-quality representations and classifiers for imbalanced data is still challenging for data-driven deep learning models. In this work, we aim at improving the feature… read more here.
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Published in 2017 at "Oikos"
DOI: 10.1111/oik.04166
Abstract: Binary presence-absence matrices (rows = species, columns = sites) are often used to quantify patterns of species co-occurrence, and to infer possible biotic interactions from these patterns. Previous classifications of co-occurrence patterns as nested, segregated,… read more here.
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Published in 2020 at "Operations Management Research"
DOI: 10.51697/omr.12.4.6
Abstract: The goal of this paper is to conduct a detailed review of research on foreign market entry alliances mediated by information technology (IT). This paper offers the conceptual structure of cross- border IT interactions and… read more here.