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Timothy Nyerges, John A. Gallo, Steven D. Prager, Keith M. Reynolds, Philip J. Murphy and WenWen Li
This paper synthesizes vulnerability, risk, resilience, and sustainability (VRRS) in a way that can be used for decision evaluations about sustainable systems, whether such systems are called coupled natural?human systems, social?ecological systems, coup...
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Davide Moroni, Gabriele Pieri and Marco Tampucci
In recent years, large oil spills have received widespread media attention, while small and micro oil spills are usually only acknowledged by the authorities and local citizens who are directly or indirectly affected by these pollution events. However, s...
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Daniela Postolache (Males)
Business Intelligence (BI) systems have penetrated the Romanian market, providing a real decision support by integrating and synthesizing a large variety of information available in real time, anywhere in the world, including through mobile terminals. Th...
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Irina Makarova, Vadim Mavrin, Damir Sadreev, Polina Buyvol, Aleksey Boyko and Eduard Belyaev
Urbanization, which causes the need for population mobility, leads to an increase in motorization and related problems: the organization of parking spaces in cities, both near work places and recreational spaces, and not far from residential locations. T...
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Sean N. Gordon, Philip J. Murphy, John A. Gallo, Patrick Huber, Allan Hollander, Ann Edwards and Piotr Jankowski
As the need for more broad-scale solutions to environmental problems is increasingly recognized, traditional hierarchical, government-led models of coordination are being supplemented by or transformed into more collaborative inter-organizational network...
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Olha Salnikova,Olga Cherviakova,Oleg Sova,Ruslan Zhyvotovskyi,Serhii Petruk,Taras Hurskyi,Andrii Shyshatskyi,Andrey Nos,Yevhenii Neroznak,Ihor Proshchyn
Pág. 35 - 44
Nowadays, artificial intelligence has entered into all spheres of human activity. However, there are some problems in the analysis of objects, for example, there is a priori uncertainty about the state of objects and the analysis takes place in a difficu...
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Joao Carneiro, Diogo Martinho, Luís Conceição, Goreti Marreiros, Paulo Novais
Pág. 8 - 20
Using agents to represent decision-makers is a complex task. It is important that agents can understand the context and be more proactive. Here we propose a model and an algorithm that will allow the agent to analyse tendencies regarding the number of su...
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Rafal Doniec, Eva Odima Berepiki, Natalia Piaseczna, Szymon Siecinski, Artur Piet, Muhammad Tausif Irshad, Ewaryst Tkacz, Marcin Grzegorzek and Wojciech Glinkowski
Cardiovascular diseases (CVDs) are chronic diseases associated with a high risk of mortality and morbidity. Early detection of CVD is crucial to initiating timely interventions, such as appropriate counseling and medication, which can effectively manage ...
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Martine J. Barons, Lael E. Walsh, Edward E. Salakpi and Linda Nichols
The EU Green Deal requires the reduction in pesticides and fertilisers in food crop production, whilst the sustainable development goals require reductions in food loss and food waste. In a complex and interacting system like the food system, these goals...
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Idrees Alsolbi, Renu Agarwal, Bhuvan Unhelkar, Tareq Al-Jabri, Mahendra Samarawickrama, Siamak Tafavogh and Mukesh Prasad
Analysing and understanding donor behaviour in nonprofit organisations (NPOs) is challenging due to the lack of human and technical resources. Machine learning (ML) techniques can analyse and understand donor behaviour at a certain level; however, it rem...
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Célia Talma Gonçalves, Maria José Angélico Gonçalves and Maria Inês Campante
The rapid advance of business technologies in recent years has made knowledge an essential and strategic asset that determines the success or failure of an organisation. Access to the right information in real time and with high selectivity can be a comp...
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Luís Silva, Luís Alcino Conceição, Fernando Cebola Lidon and Benvindo Maçãs
Nitrogen use efficiency (NUE) is a central issue to address regarding the nitrogen (N) uptake by crops, and can be improved by applying the correct dose of fertilizers at specific points in the fields according to the plants status. The N nutrition index...
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Mohammed Alojail, Mohanad Alturki and Surbhi Bhatia Khan
This paper introduces an informed decision support framework (IDSF) from a strategic perspective in the health sector, focusing on Saudi Arabia. The study addresses the existing challenges and gaps in decision-making processes within Saudi organizations,...
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Eren Duman, Mehmet S. Aktas and Ezgi Yahsi
In today?s financial landscape, traditional banking institutions rely extensively on customers? historical financial data to evaluate their eligibility for loan approvals. While these decision support systems offer predictive accuracy for established cus...
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Agostino Giorgio, Cataldo Guaragnella and Maria Rizzi
The high mortality rate associated with cardiac abnormalities highlights the need of accurately detecting heart disorders in the early stage so to avoid severe health consequence for patients. Health trackers have become popular in the form of wearable d...
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Dimitrios K. Nasiopoulos, Dimitrios A. Arvanitidis, Dimitrios M. Mastrakoulis, Nikos Kanellos, Thomas Fotiadis and Dimitrios E. Koulouriotis
Globalization has gotten increasingly intense in recent years, necessitating accurate forecasting. Traditional supply chains have evolved into transnational networks that grow with time, becoming more vulnerable. These dangers have the potential to disru...
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Eatedal Alabdulkreem, Jaber S. Alzahrani, Nadhem Nemri, Olayan Alharbi, Abdullah Mohamed, Radwa Marzouk and Anwer Mustafa Hilal
Presently, autonomous systems have gained considerable attention in several fields such as transportation, healthcare, autonomous driving, logistics, etc. It is highly needed to ensure the safe operations of the autonomous system before launching it to t...
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Irina Pilvere, Aleksejs Nipers, Agnese Krievina, Ilze Upite and Daniels Kotovs
Today?s global food system (including production, transportation, processing, packing, storage, retail sale, consumption, losses and waste) provides income to more than a billion people all over the world and makes up a significant part of many countries...
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Hugo Silva and Jorge Bernardino
Decision support systems with machine learning can help organizations improve operations and lower costs with more precision and efficiency. This work presents a review of state-of-the-art machine learning algorithms for binary classification and makes a...
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Nyi-Nyi Htun, Diego Rojo, Jeroen Ooge, Robin De Croon, Aikaterini Kasimati and Katrien Verbert
Decision support systems (DSSs) in agriculture are becoming increasingly popular, and have begun adopting visualisations to facilitate insights into complex data. However, DSSs for agriculture are often designed as standalone applications, which limits t...
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