|
|
|
|
|
David Mfitumukiza, Gordon Y. Mwesigwa, Ellen J. Kayendeke and Vincent B. Muwanika
Climate change impacts threaten sustainable development efforts. The magnitude of the impacts, however, varies with the socio-ecological characteristics of locations. This is the reason there is consensus on the necessity for climate change adaptive capa...
ver más
|
|
|
|
|
|
|
|
|
|
|
Cristobal Aguilar-Gallardo and Ana Bonora-Centelles
Cell and gene therapies represent promising new treatment options for many diseases, but also face challenges for clinical translation and delivery. Hospital-based GMP facilities enable rapid bench-to-bedside development and patient access but require si...
ver más
|
|
|
|
|
|
|
|
|
|
|
Israel Edem Agbehadji, Stefanie Schütte, Muthoni Masinde, Joel Botai and Tafadzwanashe Mabhaudhi
Early warning systems (EWS) facilitate societies? preparedness and effective response capabilities to climate risks. Climate risks embody hazards, exposure, and vulnerability associated with a particular geographical area. Building an effective EWS requi...
ver más
|
|
|
|
|
|
|
|
|
|
|
Qian Zhang, Chang Liu, Wenhui Zhu and Shiqi Mei
Given the challenges of innovation and adaptation to change, Construction 4.0 (C4.0) is triggering a revolution within construction and industry firms from automation to a greater level of digitalization. Despite the plethora of advantages and growing re...
ver más
|
|
|
|
|
|
|
|
|
|
|
Aleksander Aristovnik, Dejan Rav?elj and Eva Murko
This research advances the field of digital government by developing and empirically validating a model for measuring the digital state of public administration, with a specific focus on Slovenia. Moving beyond traditional digital maturity models, our st...
ver más
|
|
|
|
|
|
|
|
|
|
|
Mohammed Saïd Kasttet, Abdelouahid Lyhyaoui, Douae Zbakh, Adil Aramja and Abderazzek Kachkari
Recently, artificial intelligence and data science have witnessed dramatic progress and rapid growth, especially Automatic Speech Recognition (ASR) technology based on Hidden Markov Models (HMMs) and Deep Neural Networks (DNNs). Consequently, new end-to-...
ver más
|
|
|
|
|
|
|
|
|
|
|
Yuping Wang, Weidong Li and Honghui Zhu
Wireless charger production is critical to energy storage, and effective fault diagnosis of bearings and gears is essential to ensure wireless charging performance with high efficiency, high tolerance to misalignment, and thermal safety. As minor faults ...
ver más
|
|
|
|
|
|
|
|
|
|
|
Yuancheng Li and Yongtai Qin
In today?s business environment, reducing costs is crucial due to the variety of Internet of Things (IoT) devices and security infrastructure. However, applying security measures to complex business scenarios can lead to performance degradation, making i...
ver más
|
|
|
|
|
|
|
|
|
|
|
Dimitris Koryzis, Dionisis Margaris, Costas Vassilakis, Konstantinos Kotis and Dimitris Spiliotopoulos
Exploitation and use of disruptive technologies, such as the Internet of Things, recommender systems, and artificial intelligence, with an ambidextrous balance, are a challenge, nowadays. Users of the technologies, and stakeholders, could be part of a ne...
ver más
|
|
|
|
|
|
|
|
|
|
|
Jialin Zhang, Mairidan Wushouer, Gulanbaier Tuerhong and Hanfang Wang
Emotional speech synthesis is an important branch of human?computer interaction technology that aims to generate emotionally expressive and comprehensible speech based on the input text. With the rapid development of speech synthesis technology based on ...
ver más
|
|
|
|
|
|