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Mmasabata Dolly Molekoa, Ram Avtar, Pankaj Kumar, Huynh Vuong Thu Minh and Tonni Agustiono Kurniawan
Despite being a finite resource, both the quality and quantity of groundwater are under tremendous pressure due to rapid global changes, viz. population growth, land-use/land-cover changes (LULC), and climate change. The 6th Sustainable Development Goal ...
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Aden Iftin Janjane,Jackson Ndolo Muthini
Pág. 105 - 112
The logistics service industry has evolved quickly to deliver a variety of services including frequently outsourced warehousing, logistics, and freight forwarding, as well as value-added services which include; order management and fulfillment as well as...
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Haoran Liu, Kehui Xu, Bin Li, Ya Han and Guandong Li
Machine learning classifiers have been rarely used for the identification of seafloor sediment types in the rapidly changing dredge pits for coastal restoration. Our study uses multiple machine learning classifiers to identify the sediment types of the C...
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Tomá? Janík, Du?an Romportl
Landscape typologies provide their users with a spatial framework, which could be used for management, assessment of landscape changes and monitoring of biodiversity or natural processes. The aim of this article is to distinguish and compare landscape ty...
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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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Dimitris C. Gkikas, Marios C. Gkikas and John A. Theodorou
The specific application of this work involves the development of an intelligent system for diagnosing and treating fish diseases in Greek fish farming. The project aims to enhance the competitiveness of Greek fish farming by addressing the increasing mo...
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Paola Gasbarri, Daniele Accardo, Elisa Cacciaguerra, Silvia Meschini and Lavinia Chiara Tagliabue
Despite the promising outcomes achieved over time in Asset Management, data accessibility, correlation, analysis, and visualization still represent challenges. The integration, readability, and interpretation of heterogeneous information by different sta...
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Carlos Serôdio, Pedro Mestre, Jorge Cabral, Monica Gomes and Frederico Branco
In the context of Industry 4.0, this paper explores the vital role of advanced technologies, including Cyber?Physical Systems (CPS), Big Data, Internet of Things (IoT), digital twins, and Artificial Intelligence (AI), in enhancing data valorization and m...
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Anthony A. Amori, Olufemi P. Abimbola, Trenton E. Franz, Daran Rudnick, Javed Iqbal and Haishun Yang
Model calibration is essential for acceptable model performance and applications. The Hybrid-Maize model, developed at the University of Nebraska-Lincoln, is a process-based crop simulation model that simulates maize growth as a function of crop and fiel...
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Cagri Alperen Inan, Ammar Maoui, Yann Lucas and Joëlle Duplay
Water resource management scenarios have become more crucial for arid to semi-arid regions. Their application prerequisites rigorous hydrological modelling approaches since data are usually exposed to uncertainties and inaccuracies. In this work, Soil Wa...
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