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Pinar Mert Cuce, Erdem Cuce and Saffa Riffat
The construction sector, including in developed countries, plays a notable part in the overall energy consumption worldwide, being responsible for 40% of it. In addition to this, heating, ventilating and air-conditioning (HVAC) systems constitute the lar...
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Ferhat Karaca, Aidana Tleuken, Rocío Pineda-Martos, Sara Ros Cardoso, Daniil Orel, Rand Askar, Akmaral Agibayeva, Elena Goicolea Güemez, Adriana Salles, Huseyin Atakan Varol and Luis Braganca
Due to its intricate production processes, complex supply chains, and industry-specific characteristics, the construction industry faces unique challenges in adopting circular economy (CE) principles that promote resource equity. To address this issue, t...
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Gal Sasson and Yoed N. Kenett
Question-asking is a critical aspect of human communications. Yet, little is known about the reasons that lead people to ask questions, which questions are considered better than others, or what cognitive mechanisms allow the ability to ask informative q...
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Carlos Vargas and Hiram Ponce
In this paper we propose the Recurrent Embedded Topic Model (RETM) which is a modification of the Embedded Topic Modelling (ETM) by reusing the Continuous Bag of Words (CBOW) that the model had implemented and applying it to a recurrent neural network (L...
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Aida Nordman, Lothar Meyer, Karl Johan Klang, Jonas Lundberg and Katerina Vrotsou
Automation in Air Traffic Control (ATC) is gaining an increasing interest. Possible relevant applications are in automated decision support tools leveraging the performance of the Air Traffic Controller (ATCO) when performing tasks such as Conflict Detec...
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Michael R. Lindstrom, Xiaofu Ding, Feng Liu, Anand Somayajula and Deanna Needell
Nonnegative matrix factorization can be used to automatically detect topics within a corpus in an unsupervised fashion. The technique amounts to an approximation of a nonnegative matrix as the product of two nonnegative matrices of lower rank. In certain...
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Ashokkumar Palanivinayagam, Claude Ziad El-Bayeh and Robertas Dama?evicius
Machine-learning-based text classification is one of the leading research areas and has a wide range of applications, which include spam detection, hate speech identification, reviews, rating summarization, sentiment analysis, and topic modelling. Widely...
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Zhipeng Zhang, Shengquan Liu and Jianming Cheng
In recent years, large-scale pretrained language models have become widely used in natural language processing tasks. On this basis, prompt learning has achieved excellent performance in specific few-shot classification scenarios. The core idea of prompt...
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Colm Brandon, Adam J. Doherty, Dervla Kelly, Desmond Leddin and Tiziana Margaria
Cancer misinformation is becoming an increasingly complex issue. When a person or a loved one receives a diagnosis of possible cancer, that person, family and friends will try to better inform themselves in this area of healthcare. Like most people, they...
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Alfrendo Satyanaga, Gerarldo Davin Aventian, Yerkezhan Makenova, Aigerim Zhakiyeva, Zhuldyz Kamaliyeva, Sung-Woo Moon and Jong Kim
BIM (Building Information Modelling) is used to create and manage data during design, construction, and operation. It helps to effectively manage resources and optimize processes in the construction industry. Geotechnical engineering is one of the comple...
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