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Franz W Gatzweiler, Saroj Jayasinghe, José G Siri and Jason Corburn
The intensity and range of health challenges that people in cities are facing has increased in recent years. This is due in part to a failure to adequately adapt and respond to emergent and expanding global systemic risks, but also to a still-limited und...
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Tesfakiros Semere, Yemane Tsehaye, Lijalem Tareke, Ola T. Westengen and Siri Fjellheim
Sorghum is one of the staple food crops in Tigray, northern Ethiopia. Despite this, limited research attention was given to the nutritional and antinutritional profiling of sorghum. Thus, this research was initiated to profile and evaluate the variabilit...
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Abdul Wali, Saipunidzam Mahamad and Suziah Sulaiman
As technological advancements increase exponentially, mobile phones become smarter with machine learning and artificial intelligence algorithms. These advancements have allowed mobile phone users to perform most of their daily routine tasks on mobile pho...
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Hussein Abdel-Jaber, Disha Devassy, Azhar Al Salam, Lamya Hidaytallah and Malak EL-Amir
Deep learning uses artificial neural networks to recognize patterns and learn from them to make decisions. Deep learning is a type of machine learning that uses artificial neural networks to mimic the human brain. It uses machine learning methods such as...
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Priyank Kalgaonkar and Mohamed El-Sharkawy
Artificial Intelligence (AI) combines computer science and robust datasets to mimic natural intelligence demonstrated by human beings to aid in problem-solving and decision-making involving consciousness up to a certain extent. From Apple?s virtual perso...
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Sheriff Murtala, Ye-Chan Choi and Kang-Sun Choi
It is challenging to extract reliefs from ancient steles due to their rough surfaces, which contain relief-like noise such as dents and scratches. In this paper, we propose a method to segment relief region from 3D scanned ancient stele by exploiting loc...
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Sindre Klavestad, Gebremariam Assres, Siri Fagernes and Tor-Morten Grønli
In recent years, the ultra-wideband (UWB) radar technology has shown great potential in monitoring activities of daily living (ADLs) for smart homes. In this paper, we investigate the significance of using non-wearable UWB sensors for developing non-intr...
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Stanislav Ronzhin, Erwin Folmer, Pano Maria, Marco Brattinga, Wouter Beek, Rob Lemmens and Rein van?t Veer
After more than a decade, the supply-driven approach to publishing public (open) data has resulted in an ever-growing number of data silos. Hundreds of thousands of datasets have been catalogued and can be accessed at data portals at different administra...
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Witold Andrzejewski,Selma Khouri
Pág. I - II
The seventh issue of Complex Systems Informatics and Modeling Quarterly presents five papers devoted to two distinct research topics: systems modeling and natural language processing (NLP). Both of these subjects are very important in computer science. T...
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Carla Kruk, Claudia Piccini, Angel Segura, Lucía Nogueira, Carmela Carballo, Gabriela Martinez de la Escalera Siri, Danilo Calliari, Graciela Ferrari, Macarena Simoens, Jacqueline Cea, Ignacio Alcántara, Paula Vico, Diana Miguez
Pág. 23 - 39
Las floraciones de cianobacterias potencialmente tóxicas es uno de los problemas más difundidos en los sistemas acuáticos a nivel global. Sin embargo, no existen programas de monitoreo sensibles y directamente aplicables a la predicción de las floracione...
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