Fog computing approaches in IoT-enabled smart cities

M Songhorabadi, M Rahimi… - Journal of Network and …, 2023 - Elsevier
These days, the development of smart cities, specifically in location-aware, latency-sensitive,
and security-crucial applications (such as emergency fire events, patient health monitoring …

A review on data cleansing methods for big data

F Ridzuan, WMNW Zainon - Procedia Computer Science, 2019 - Elsevier
Massive amounts of data are available for the organization which will influence their
business decision. Data collected from the various resources are dirty and this will affect the …

Digital twin perspective of fourth industrial and healthcare revolution

S Khan, T Arslan, T Ratnarajah - Ieee Access, 2022 - ieeexplore.ieee.org
Digital Twin (DT) is bringing revolution to our lives by a digital representation of the physical
system. DT is the creation of the joint usage of various technologies like Cyber-Physical …

[PDF][PDF] Stock prediction based on technical indicators using deep learning model.

M Agrawal, PK Shukla, R Nair, A Nayyar… - Computers, Materials & …, 2022 - academia.edu
Stock market trends forecast is one of the most current topics and a significant research
challenge due to its dynamic and unstable nature. The stock data is usually non-stationary …

Fog-based smart homes: A systematic review

M Rahimi, M Songhorabadi, MH Kashani - Journal of Network and …, 2020 - Elsevier
Smart homes are equipped residences for clients aiming at supplying suitable services via
intelligent technologies. Through smart homes, household appliances as the Internet of …

Exploring the ethical issues in research using digital data collection strategies with minors: A scoping review

D Facca, MJ Smith, J Shelley, D Lizotte, L Donelle - Plos one, 2020 - journals.plos.org
While emerging digital health technologies offer researchers new avenues to collect real-
time data, little is known about current ethical dimensions, considerations, and challenges …

Exploring big data traits and data quality dimensions for big data analytics application using partial least squares structural equation modelling

M Wook, NA Hasbullah, NM Zainudin, ZZA Jabar… - Journal of Big Data, 2021 - Springer
The popularity of big data analytics (BDA) has boosted the interest of organisations into
exploiting their large scale data. This technology can become a strategic stimulation for …

Review of the estimation methods of energy consumption for battery electric buses

AS Al-Ogaili, AQ Al-Shetwi, HMK Al-Masri, TS Babu… - Energies, 2021 - mdpi.com
In the transportation sector, electric battery bus (EBB) deployment is considered to be a
potential solution to reduce global warming because no greenhouse gas (GHG) emissions …

Optimizing quality inspection and control in powder bed metal additive manufacturing: Challenges and research directions

S Di Cataldo, S Vinco, G Urgese… - Proceedings of the …, 2021 - ieeexplore.ieee.org
One of the key targets of Industry 4.0 and digital production, in general, is the support of
faster, cleaner, and increasingly customizable manufacturing processes. Additive …

Sharing biomedical data: Strengthening ai development in healthcare

T Pereira, J Morgado, F Silva, MM Pelter, VR Dias… - Healthcare, 2021 - mdpi.com
Artificial intelligence (AI)-based solutions have revolutionized our world, using extensive
datasets and computational resources to create automatic tools for complex tasks that, until …