Mobile data science and intelligent apps: concepts, AI-based modeling and research directions
Artificial intelligence (AI) techniques have grown rapidly in recent years in the context of
computing with smart mobile phones that typically allows the devices to function in an …
computing with smart mobile phones that typically allows the devices to function in an …
Context aware computing for the internet of things: A survey
As we are moving towards the Internet of Things (IoT), the number of sensors deployed
around the world is growing at a rapid pace. Market research has shown a significant growth …
around the world is growing at a rapid pace. Market research has shown a significant growth …
Sustainability model for the continuous intention to use metaverse technology in higher education: a case study from Oman
This paper investigates adopting metaverse in academic institutions based on a conceptual
model. The proposed conceptual model was created to empower future perspectives of the …
model. The proposed conceptual model was created to empower future perspectives of the …
Trends and trajectories for explainable, accountable and intelligible systems: An hci research agenda
Advances in artificial intelligence, sensors and big data management have far-reaching
societal impacts. As these systems augment our everyday lives, it becomes increasing-ly …
societal impacts. As these systems augment our everyday lives, it becomes increasing-ly …
A survey on mobile edge networks: Convergence of computing, caching and communications
As the explosive growth of smart devices and the advent of many new applications, traffic
volume has been growing exponentially. The traditional centralized network architecture …
volume has been growing exponentially. The traditional centralized network architecture …
A LSTM-based method for stock returns prediction: A case study of China stock market
K Chen, Y Zhou, F Dai - … conference on big data (big data), 2015 - ieeexplore.ieee.org
The presented paper modeled and predicted China stock returns using LSTM. The historical
data of China stock market were transformed into 30-days-long sequences with 10 learning …
data of China stock market were transformed into 30-days-long sequences with 10 learning …
[图书][B] An introduction to self-adaptive systems: A contemporary software engineering perspective
D Weyns - 2020 - books.google.com
A concise and practical introduction to the foundations and engineering principles of self-
adaptation Though it has recently gained significant momentum, the topic of self-adaptation …
adaptation Though it has recently gained significant momentum, the topic of self-adaptation …
SoCoMo marketing for travel and tourism: Empowering co-creation of value
D Buhalis, M Foerste - Journal of destination marketing & management, 2015 - Elsevier
Advanced technology enables users to amalgamate information from various sources on
their mobile devices, personalise their profile through applications and social networks, as …
their mobile devices, personalise their profile through applications and social networks, as …
Making data tangible: A cross-disciplinary design space for data physicalization
Designing a data physicalization requires a myriad of different considerations. Despite the
cross-disciplinary nature of these considerations, research currently lacks a synthesis across …
cross-disciplinary nature of these considerations, research currently lacks a synthesis across …
Major requirements for building Smart Homes in Smart Cities based on Internet of Things technologies
TKL Hui, RS Sherratt, DD Sánchez - Future Generation Computer Systems, 2017 - Elsevier
The recent boom in the Internet of Things (IoT) will turn Smart Cities and Smart Homes (SH)
from hype to reality. SH is the major building block for Smart Cities and have long been a …
from hype to reality. SH is the major building block for Smart Cities and have long been a …