|
|
|
Wambua Benjamin Mweu, Maria W. Mung?ara
Pág. 64 - 70
AbstractBanking sector rivalry has escalated which can be attributed to many factors including innovation, new legislation, problems caused by a global financial crisis, government regulations, among others that have resulted in increased competition in ...
ver más
|
|
|
|
|
|
|
Piia Vettik-Leemet and Tõnis Mets
Recently, there has been increased discussion of entrepreneurship and innovation as process-based phenomena. However, research on the essence of dynamic entrepreneurial and innovation processes and their simultaneous interactions needs to be more cohesiv...
ver más
|
|
|
|
|
|
|
Lucas Schmidt Goecks, Anderson Felipe Habekost, Antonio Maria Coruzzolo and Miguel Afonso Sellitto
Digital transformations in manufacturing systems confer advantages for enhancing competitiveness and ensuring the survival of companies by reducing operating costs, improving quality, and fostering innovation, falling within the overarching umbrella of I...
ver más
|
|
|
|
|
|
|
Yusuke Hoshino and Takashi Hirao
Artificial intelligence (AI) has become popular worldwide after technological breakthroughs in the early 2010s. Accordingly, many organizations and individuals have been using AI for various applications. Previous research has been dominated by case stud...
ver más
|
|
|
|
|
|
|
Mike Louw, Sally Farrah, Max Maxwell and Sam Tomkins
For this special issue, sustainability and safety are discussed through the tropes of both material and work process substitution. As an architecture and industrial design team, we examine the potential of William McDonough?s and Michael Braungart?s ?cra...
ver más
|
|
|
|
|
|
|
Maria Cairoli
Rehearsal rooms play an important role in musicians? activities to obtain the best results during a performance in front of an audience. Numerous rehearsal rooms are located in complex buildings, such as opera houses and cultural centers, where new resea...
ver más
|
|
|
|
|
|
|
Dania Tamayo-Vera, Xiuquan Wang and Morteza Mesbah
The interplay of machine learning (ML) and deep learning (DL) within the agroclimatic domain is pivotal for addressing the multifaceted challenges posed by climate change on agriculture. This paper embarks on a systematic review to dissect the current ut...
ver más
|
|
|
|
|
|
|
Chang Guo, Jianfeng Zhu and Xiaoming Wang
In recent years, the rapid growth of vehicles has imposed a significant burden on urban road resources. To alleviate urban traffic congestion in intelligent transportation systems (ITS), real-time and accurate traffic flow prediction has emerged as an ef...
ver más
|
|
|
|
|
|
|
Yimin Ma, Yi Xu, Yunqing Liu, Fei Yan, Qiong Zhang, Qi Li and Quanyang Liu
In recent years, deep convolutional neural networks with multi-scale features have been widely used in image super-resolution reconstruction (ISR), and the quality of the generated images has been significantly improved compared with traditional methods....
ver más
|
|
|
|
|
|
|
Waseem Abbas, Zuping Zhang, Muhammad Asim, Junhong Chen and Sadique Ahmad
In the ever-expanding online fashion market, businesses in the clothing sales sector are presented with substantial growth opportunities. To utilize this potential, it is crucial to implement effective methods for accurately identifying clothing items. T...
ver más
|
|
|
|