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Peter Schuhmann, Ryan Skeete, Richard Waite, Prosper Bangwayo-Skeete, James Casey, Hazel A. Oxenford and David A. Gill
Seawater quality is critical for island and coastal communities dependent on coastal tourism. Improper management of coastal development and inland watersheds can decrease seawater quality and adversely impact marine life, human health, and economic grow...
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Dessalegn Jaweso, Brook Abate, Andreas Bauwe and Bernd Lennartz
This study aimed to assess trends of hydro-meteorological variables in the Upper Omo-Ghibe river basin, Ethiopia. Data records from eleven rainfall, eight air temperature, and five streamflow stations between 1981 to 2008 were investigated. The trends an...
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Saeed Samadianfard, Salar Jarhan, Ely Salwana, Amir Mosavi, Shahaboddin Shamshirband and Shatirah Akib
Advancement in river flow prediction systems can greatly empower the operational river management to make better decisions, practices, and policies. Machine learning methods recently have shown promising results in building accurate models for river flow...
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Shu Wu, Momcilo Markus, David Lorenz, James R. Angel and Kevin Grady
Many studies have projected that as the climate changes, the magnitudes of extreme precipitation events in the Northeastern United States are likely to continue increasing, regardless of the emission scenario. To examine this issue, we analyzed observed ...
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Yogeswaranathan Kalyani, Liam Vorster, Rebecca Whetton and Rem Collier
In the last decade, digital twin (DT) technology has received considerable attention across various domains, such as manufacturing, smart healthcare, and smart cities. The digital twin represents a digital representation of a physical entity, object, sys...
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Pasquale Garofalo, Marco Parlavecchia, Luisa Giglio, Ivana Campobasso, Alessandro Vittorio Vonella, Marco Botta, Tommaso Tadiello, Vincenzo Tucci, Francesco Fornaro, Rita Leogrande, Carolina Vitti, Alessia Perego, Marco Acutis and Domenico Ventrella
In anticipation of climate changes, strategic soil management, encompassing reduced tillage and optimized crop residue utilization, emerges as a pivotal strategy for climate impact mitigation. Evaluating the transition from conventional to conservative c...
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Ulzhan Bissarinova, Aidana Tleuken, Sofiya Alimukhambetova, Huseyin Atakan Varol and Ferhat Karaca
This paper introduces a deep learning (DL) tool capable of classifying cities and revealing the features that characterize each city from a visual perspective. The study utilizes city view data captured from satellites and employs a methodology involving...
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Kristopher Campbell, Myra Lydon, Nicola-Ann Stevens and Su Taylor
This paper outlines an initial analysis of 20 years of data held on an electronic bridge management database for approximately 3500 arch bridges across Northern Ireland (NI) by the Department for Infrastructure. Arch bridges represent the largest group o...
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Kevin Mallinger and Ricardo Baeza-Yates
The continuous fusion of artificial intelligence (AI) and autonomous farming machinery (e.g., drones and field robots) provides a significant shift in the daily work experience of farmers. Faced with new technological developments, many risks and opportu...
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Fredrik Regler and Heinz Bernhardt
This study addresses the challenge of subjective remounting decisions in calf and heifer rearing, typically driven by the animal caretaker?s feelings and experience, lacking a robust data foundation. Key factors such as developmental delays, diseases, or...
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