Remote sensing big data computing: Challenges and opportunities

Y Ma, H Wu, L Wang, B Huang, R Ranjan… - Future Generation …, 2015 - Elsevier
As we have entered an era of high resolution earth observation, the RS data are undergoing
an explosive growth. The proliferation of data also give rise to the increasing complexity of …

Recent developments in parallel and distributed computing for remotely sensed big data processing

Z Wu, J Sun, Y Zhang, Z Wei… - Proceedings of the …, 2021 - ieeexplore.ieee.org
This article gives a survey of state-of-the-art methods for processing remotely sensed big
data and thoroughly investigates existing parallel implementations on diverse popular high …

Driverless vehicle security: Challenges and future research opportunities

G De La Torre, P Rad, KKR Choo - Future Generation Computer Systems, 2020 - Elsevier
As self-driving vehicles become increasingly popular, new generations of attackers will seek
to exploit vulnerabilities introduced by the technologies that underpin such vehicles for a …

Towards brain big data classification: Epileptic EEG identification with a lightweight VGGNet on global MIC

H Ke, D Chen, X Li, Y Tang, T Shah, R Ranjan - IEEE Access, 2018 - ieeexplore.ieee.org
Brain big data empowered by intelligent analysis provide an unrivalled opportunity to probe
the dynamics of the brain in disorder. A typical example is to identify evolving …

Monitoring land-cover changes: A machine-learning perspective

A Karpatne, Z Jiang, RR Vatsavai… - … and Remote Sensing …, 2016 - ieeexplore.ieee.org
Monitoring land-cover changes is of prime importance for the effective planning and
management of critical, natural and man-made resources. The growing availability of remote …

City data fusion: Sensor data fusion in the internet of things

M Wang, C Perera, PP Jayaraman, M Zhang… - International Journal of …, 2016 - igi-global.com
Abstract Internet of Things (IoT) has gained substantial attention recently and play a
significant role in smart city application deployments. A number of such smart city …

Ontology-based data semantic management and application in IoT-and cloud-enabled smart homes

M Tao, K Ota, M Dong - Future generation computer systems, 2017 - Elsevier
The application of emerging technologies of Internet of Things (IoT) and cloud computing
have increasing the popularity of smart homes, along with which, large volumes of …

Energy trading with dynamic pricing for electric vehicles in a smart city environment

GS Aujla, N Kumar, M Singh, AY Zomaya - Journal of Parallel and …, 2019 - Elsevier
Smart cities are equipped with latest technologies to provide sustainable and economical
services to their citizens. With an increase in carbon emissions, the popularity of electric …

A survey of big data analytics for smart forestry

W Zou, W Jing, G Chen, Y Lu, H Song - Ieee Access, 2019 - ieeexplore.ieee.org
Accurate and reliable forestry data can be obtained by means of continuous monitoring of
forests using advanced technologies, which provides a major opportunity for the …

A cloud-based remote sensing data production system

J Yan, Y Ma, L Wang, KKR Choo, W Jie - Future Generation Computer …, 2018 - Elsevier
The data processing capability of existing remote sensing system has not kept pace with the
amount of data typically received and need to be processed. Existing product services are …