A decade review on smart cities: paradigms, challenges and opportunities

T Singh, A Solanki, SK Sharma, A Nayyar… - IEEE Access, 2022 - ieeexplore.ieee.org
Smart City has been an emerging research domain for Government, Businesses, and
researchers in the last few years. The Indian government is also interested and investing lots …

Deep features-based speech emotion recognition for smart affective services

AM Badshah, N Rahim, N Ullah, J Ahmad… - Multimedia Tools and …, 2019 - Springer
Emotion recognition from speech signals is an interesting research with several applications
like smart healthcare, autonomous voice response systems, assessing situational …

Collaborative energy and information transfer in green wireless sensor networks for smart cities

W Lu, Y Gong, X Liu, J Wu… - IEEE Transactions on …, 2017 - ieeexplore.ieee.org
Smart city is able to make the city source and infrastructure more efficiently utilized, which
improves the quality of life for citizens. In this framework, wireless sensor networks (WSNs) …

Understanding the potential of emerging digital technologies for improving road safety

ME Torbaghan, M Sasidharan, L Reardon… - Accident Analysis & …, 2022 - Elsevier
Abstract Each year, 1.35 million people are killed on the world's roads and another 20–50
million are seriously injured. Morbidity or serious injury from road traffic collisions is …

Breast cancer classification through meta-learning ensemble technique using convolution neural networks

MD Ali, A Saleem, H Elahi, MA Khan, MI Khan… - Diagnostics, 2023 - mdpi.com
This study aims to develop an efficient and accurate breast cancer classification model using
meta-learning approaches and multiple convolutional neural networks. This Breast …

Autonomous aerial cinematography in unstructured environments with learned artistic decision‐making

R Bonatti, W Wang, C Ho, A Ahuja… - Journal of Field …, 2020 - Wiley Online Library
Aerial cinematography is revolutionizing industries that require live and dynamic camera
viewpoints such as entertainment, sports, and security. However, safely piloting a drone …

A discrete hidden Markov model fault diagnosis strategy based on K-means clustering dedicated to PEM fuel cell systems of tramways

J Liu, Q Li, W Chen, T Cao - International Journal of Hydrogen Energy, 2018 - Elsevier
To solve the fault classification problems of fuel cell (FC) various health states for tramways,
a discrete hidden Markov model (DHMM) fault diagnosis strategy based on K-means …

Methodological proposals for the development of services in a smart city: A literature review

J Serey, L Quezada, M Alfaro, G Fuertes, R Ternero… - Sustainability, 2020 - mdpi.com
This literature review analyzes and classifies methodological contributions that answer the
different challenges faced by smart cities. This study identifies city services that require the …

RF energy harvesting wireless powered sensor networks for smart cities

J Liu, K Xiong, P Fan, Z Zhong - IEEE Access, 2017 - ieeexplore.ieee.org
This paper investigates the optimal energy beamforming and time assignment in radio
frequency (RF) energy harvesting (EH) wireless powered sensor networks for smart cities …

Traffic light scheduling for pedestrian-vehicle mixed-flow networks

Y Zhang, K Gao, Y Zhang, R Su - IEEE Transactions on …, 2018 - ieeexplore.ieee.org
This paper presents a macroscopic model for pedestrian-vehicle mixed-flow network and a
traffic signal scheduling strategy for both pedestrians and vehicles. We first propose a novel …