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Andrea Momblanch, Ian P. Holman and Sanjay K. Jain
Global change is expected to have a strong impact in the Himalayan region. The climatic and orographic conditions result in unique modelling challenges and requirements. This paper critically appraises recent hydrological modelling applications in Himala...
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Masoud Jafari Shalamzari, Wanchang Zhang, Atefeh Gholami and Zhijie Zhang
Site selection for runoff harvesting at large scales is a very complex task. It requires inclusion and spatial analysis of a multitude of accurately measured parameters in a time-efficient manner. Compared with direct measurements of runoff, which is tim...
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Ana Aleksic Miric, Marina Petrovic, Zorica Anicic
Research Question: This paper explores factors that drive innovativeness of social enterprises in Serbia. Motivation: Social enterprises are gaining importance on global scale, being recognized for their potential to respond to both economic and social c...
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Vesna Tornjanski, Dejan Petrovic, Sandra Nesic
Research question: The study aims to extend and deepen the understanding of maturity level of knowledge transfer effectiveness between project team members in an organization in which disruptive innovations and external forces foster acceleration of vari...
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Maryke A. Mihai
Pág. 10 bladsye
The purpose of this study was to describe the management challenges and the type of management approach that developed during the implementation of an ICT network between six schools, transmitting Maths and Science lessons for grade 12 learners. In ...
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Xianrong Zheng, Elizabeth Gildea, Sheng Chai, Tongxiao Zhang and Shuxi Wang
Data science has become increasingly popular due to emerging technologies, including generative AI, big data, deep learning, etc. It can provide insights from data that are hard to determine from a human perspective. Data science in finance helps to prov...
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Kasun Moolikagedara, Minh Nguyen, Weiqi Yan and Xuejun Li
In the digital age, where the Internet of Things (IoT) permeates every facet of our lives, the safeguarding of data privacy, especially video data, emerges as a paramount concern. The ubiquity of IoT devices, capable of capturing and disseminating vast q...
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Daniel Einarson, Fredrik Frisk, Kamilla Klonowska and Charlotte Sennersten
Machine learning (ML) is increasingly used in diverse fields, including animal behavior research. However, its application to ambiguous data requires careful consideration to avoid uncritical interpretations. This paper extends prior research on ringed m...
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Anderson Carvalho, Daniel Riordan and Joseph Walsh
This study presents a newly developed edge computing platform designed to enhance connectivity between edge devices and the cloud in the agricultural sector. Addressing the challenge of synchronizing a central database across 850 remote farm locations in...
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Mahmoud Elkhodr, Samiya Khan and Ergun Gide
In the modern digital landscape of the Internet of Things (IoT), data interoperability and heterogeneity present critical challenges, particularly with the increasing complexity of IoT systems and networks. Addressing these challenges, while ensuring dat...
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