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Jing Liu, Xuesong Hai and Keqin Li
Massive amounts of data drive the performance of deep learning models, but in practice, data resources are often highly dispersed and bound by data privacy and security concerns, making it difficult for multiple data sources to share their local data dir...
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Wenqi Gao, Ninghua Chen, Jianyu Chen, Bowen Gao, Yaochen Xu, Xuhua Weng and Xinhao Jiang
Geospatial data, especially remote sensing (RS) data, are of significant importance for public services and production activities. Expertise is critical in processing raw data, generating geospatial information, and acquiring domain knowledge and other r...
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Tobias Zeulner, Gerhard Johann Hagerer, Moritz Müller, Ignacio Vazquez and Peter A. Gloor
Current methods for assessing individual well-being in team collaboration at the workplace often rely on manually collected surveys. This limits continuous real-world data collection and proactive measures to improve team member workplace satisfaction. W...
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Zeyu Xu, Wenbin Yu, Chengjun Zhang and Yadang Chen
In the era of noisy intermediate-scale quantum (NISQ) computing, the synergistic collaboration between quantum and classical computing models has emerged as a promising solution for tackling complex computational challenges. Long short-term memory (LSTM)...
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Olusayo Ayobami Bamgbose, Babatunde Fatai Ogunbayo and Clinton Ohis Aigbavboa
The widespread adoption of building information modelling in the construction industry faces significant obstacles, particularly among small and medium-sized construction enterprises. This research accessed barriers to building information modelling adop...
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Linda Petutschnig, Thomas Clemen, E. Sophia Klaußner, Ulfia Clemen and Stefan Lang
International policy and humanitarian guidance emphasize the need for precise, subnational malaria risk assessments with cross-regional comparability. Spatially explicit indicator-based assessments can support humanitarian aid organizations in identifyin...
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Lenni Dianna Putri, Ermi Girsang, I Nyoman Ehrich Lister, Hsiang Tsung Kung, Evizal Abdul Kadir and Sri Listia Rosa
Public health is an important aspect of community activities, making research on health necessary because it is a crucial field in maintaining and improving the quality of life in society as a whole. Research on public health allows for a deeper understa...
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Lun-Min Shih, Huan-Liang Tsai and Cheng-Yu Tsai
This paper presents an original wireless DYU Air Box of an environment-monitoring IoT (EMIoT) system on a campus to offer information on environmental conditions through the public ThingSpeak IoT platform for stakeholders including all the students and e...
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Malinka Ivanova, Gabriela Grosseck and Carmen Holotescu
The penetration of intelligent applications in education is rapidly increasing, posing a number of questions of a different nature to the educational community. This paper is coming to analyze and outline the influence of artificial intelligence (AI) on ...
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Sandro Pullo, Remo Pareschi, Valentina Piantadosi, Francesco Salzano and Roberto Carlini
Addressing the critical challenges of resource inefficiency and environmental impact in the agrifood sector, this study explores the integration of Internet of Things (IoT) technologies with IOTA?s Tangle, a Distributed Ledger Technology (DLT). This inte...
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