Contributions and risks of artificial intelligence (AI) in building smarter cities: Insights from a systematic review of the literature

T Yigitcanlar, KC Desouza, L Butler, F Roozkhosh - Energies, 2020 - mdpi.com
Artificial intelligence (AI) is one of the most disruptive technologies of our time. Interest in the
use of AI for urban innovation continues to grow. Particularly, the rise of smart cities—urban …

Review on the application of artificial intelligence in smart homes

X Guo, Z Shen, Y Zhang, T Wu - Smart Cities, 2019 - mdpi.com
Smart home and artificial intelligence technologies are developing rapidly, and various
smart home products associated with artificial intelligence (AI) improved the quality of living …

Strategic management of next-generation connected life: Focusing on smart key and car–home connectivity

J Hong, J Shin, D Lee - Technological Forecasting and Social Change, 2016 - Elsevier
With the development of wireless technology, connectivity is becoming a more common
feature of daily life. Connected cars and smart homes are typical examples, and the two …

Machine learning based smart surveillance system

V Babanne, NS Mahajan, RL Sharma… - … conference on I …, 2019 - ieeexplore.ieee.org
In modern cities video surveillance becomes an important part for protection and security. In
modern cities for security and protection smart cameras equipped with intelligent analysis of …

Learning movement patterns of the occupant in smart home environments: an unsupervised learning approach

T Zhang, W Fu, J Ye, M Fischer - Journal of Ambient Intelligence and …, 2017 - Springer
In recent years, the concept of smart homes and smart buildings have gradually emerged as
mainstream with the development of sensor technology and the introduction of several …

Optimizing human action recognition based on a cooperative coevolutionary algorithm

AA Chaaraoui, F Florez-Revuelta - Engineering Applications of Artificial …, 2014 - Elsevier
Vision-based human action recognition is an essential part of human behavior analysis,
which is currently in great demand due to its wide area of possible applications. In this …

The design and implementation of the voice control system of smart home based on iOS

Y Wang, P Dong - 2016 IEEE International Conference on …, 2016 - ieeexplore.ieee.org
In order to meet the users' living demand, to provide them a better experience of smart home
and further to improve their life equality, the authors design and implement the voice control …

Research on improved pedestrian detection algorithm based on convolutional neural network

J Wang, H Li, S Yin, Y Sun - … on Internet of Things (iThings) and …, 2019 - ieeexplore.ieee.org
As we all know, The feature obtained by the convolutional neural network (CNN) is the
expression of higher level for the input image, which can improve the discrimination of the …

Application of individual activity recognition in the room using CNN Alexnet method

K Prastika - IOP Conference Series: Materials Science and …, 2020 - iopscience.iop.org
Technological developments in the digital age are experiencing rapid improvement,
especially in the field of sensing technology and network infrastructure. Where due to this …

Online adaptive motion model-based target tracking using local search algorithm

AH Karami, M Hasanzadeh, S Kasaei - Engineering Applications of …, 2015 - Elsevier
An adaptive tracker to address the problem of tracking objects which undergo abrupt and
significant motion changes is introduced. Abrupt motion of objects is an issue which makes …