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María-Jose García-López and Francisco Pérez-Hernández
In the contemporary context, characterized by the paramount importance of sustainability, both governments and companies, particularly multinational enterprises (MNEs), play an important role in fostering and overseeing the transformative processes neces...
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Zhenping Li, Zhen Cao, Pengfei Li, Yong Zhong and Shaobo Li
The task of multi-hop question generation (QG) seeks to generate questions that require a complex reasoning process that spans multiple sentences and answers. Beyond the conventional challenges of what to ask and how to ask, multi-hop QG necessitates sop...
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Shi Li and Xiaoting Chen
The task of joint dialogue act recognition (DAR) and sentiment classification (DSC) aims to predict both the act and sentiment labels of each utterance in a dialogue. Existing methods mainly focus on local or global semantic features of the dialogue from...
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Abdelkarim Ben Sada, Abdenacer Naouri, Amar Khelloufi, Sahraoui Dhelim and Huansheng Ning
The data explosion caused by the rapid and widespread use of IoT devices is placing tremendous pressure on current communication, computing and storage resources. In an ambient ubiquitous computing environment, taking advantage of the context of the appl...
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Saad Inshi, Rasel Chowdhury, Hakima Ould-Slimane and Chamseddine Talhi
Predicting context-aware activities using machine-learning techniques is evolving to become more readily available as a major driver of the growth of IoT applications to match the needs of the future smart autonomous environments. However, with today?s i...
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David Solís-Martín, Juan Galán-Páez and Joaquín Borrego-Díaz
The aim of predictive maintenance, within the field of prognostics and health management (PHM), is to identify and anticipate potential issues in the equipment before these become serious. The main challenge to be addressed is to assess the amount of tim...
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Zuoxin Wang and Xiaohu Zhao
Most current non-intrusive load monitoring methods focus on traditional load characteristic analysis and algorithm optimization, lack knowledge of users? electricity consumption behavior habits, and have poor accuracy. We propose a novel attention-guided...
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Antonios Pliatsios, Dimitrios Lymperis and Christos Goumopoulos
The Social Internet of Things (SIoT) paradigm combines the benefits of social networks with IoT networks to create more collaborative and efficient systems, offering enhanced scalability, better navigability, flexibility, and dynamic decision making. How...
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Syed Muzzamil Hussain Shah, Mohamed A. Yassin, Sani I. Abba, Dahiru U. Lawal, Ebrahim Hamid Hussein Al-Qadami, Fang Yenn Teo, Zahiraniza Mustaffa and Isam H. Aljundi
Natural hazard threats have grown as a result of climate change, fast demographic development, and major urbanization. Devastating floods have occurred in several areas of the world recently, including the Kingdom of Saudi Arabia, which is located in a r...
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Nirmalya Thakur
Mining and analysis of the big data of Twitter conversations have been of significant interest to the scientific community in the fields of healthcare, epidemiology, big data, data science, computer science, and their related areas, as can be seen from s...
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