|
|
|
|
|
Ana Aleksic Miric, Marina Petrovic, Zorica Anicic
Research Question: This paper explores factors that drive innovativeness of social enterprises in Serbia. Motivation: Social enterprises are gaining importance on global scale, being recognized for their potential to respond to both economic and social c...
ver más
|
|
|
|
|
|
|
|
|
|
|
Ying-Hsun Lai, Shin-Yeh Chen, Wen-Chi Chou, Hua-Yang Hsu and Han-Chieh Chao
Federated learning trains a neural network model using the client?s data to maintain the benefits of centralized model training while maintaining their privacy. However, if the client data are not independently and identically distributed (non-IID) becau...
ver más
|
|
|
|
|
|
|
|
|
|
|
Muhammad Nafees Ulfat Khan, Weiping Cao, Zhiling Tang, Ata Ullah and Wanghua Pan
The rapid development of the Internet of Things (IoT) has opened the way for transformative advances in numerous fields, including healthcare. IoT-based healthcare systems provide unprecedented opportunities to gather patients? real-time data and make ap...
ver más
|
|
|
|
|
|
|
|
|
|
|
Muhammad Sher Ramzan, Anees Asghar, Ata Ullah, Fawaz Alsolami and Iftikhar Ahmad
The Internet of Things (IoT) consists of complex and dynamically aggregated elements or smart entities that need decentralized supervision for data exchanging throughout different networks. The artificial bee colony (ABC) is utilized in optimization prob...
ver más
|
|
|
|
|
|
|
|
|
|
|
Zeqin Tian, Dengfeng Chen and Liang Zhao
Accurate building energy consumption prediction is a crucial condition for the sustainable development of building energy management systems. However, the highly nonlinear nature of data and complex influencing factors in the energy consumption of large ...
ver más
|
|
|
|
|
|
|
|
|
|
|
Weiying Wang and Toshihiro Osaragi
The generation and prediction of daily human mobility patterns have raised significant interest in many scientific disciplines. Using various data sources, previous studies have examined several deep learning frameworks, such as the RNN and GAN, to synth...
ver más
|
|
|
|
|
|
|
|
|
|
|
D. Criado-Ramón, L. G. B. Ruiz, J. R. S. Iruela and M. C. Pegalajar
This paper introduces the first completely unsupervised methodology for non-intrusive load monitoring that does not rely on any additional data, making it suitable for real-life applications. The methodology includes an algorithm to efficiently decompose...
ver más
|
|
|
|
|
|
|
|
|
|
|
Razvan Rughini?, Emanuela Bran, Ana Rodica Staiculescu and Alexandru Radovici
This article examines configurations of digital concerns within the European Union (EU27), a leading hub of innovation and policy development. The core objective is to uncover the social forces shaping technology acceptance and risk awareness, which are ...
ver más
|
|
|
|
|
|
|
|
|
|
|
Luis Adán Félix-Salazar, Emigdio Marín-Enríquez, Eugenio Alberto Aragón-Noriega and Jorge Saul Ramirez-Perez
During the last 50 years, the increase in the efforts of the longline fleet in the Eastern Pacific Ocean (EPO) resulted in an increase in the capture of the swordfish Xiphias gladius. We analyzed a historical database of swordfish catches (1980?2020) rep...
ver más
|
|
|
|
|
|
|
|
|
|
|
Verónica Cruz Moriana, Juan Manuel Mancilla-Leytón, Yolanda Mena and Francisco de Asís Ruiz Morales
The multifunctionality of agricultural and livestock systems is a pivotal attribute that should be considered when formulating rural policies, as it serves as a significant source of income for those managing these systems in their respective areas. The ...
ver más
|
|
|
|
|
|