A comprehensive review on internet of things (IoT) and its implications in the mining industry

F Molaei, E Rahimi, H Siavoshi, SG Afrouz… - American Journal of …, 2020 - hal.science
The integration of computer-based technologies interacting with industrial machines or
home appliances through an interconnected network, for teleoperation, workflow control …

Big Data for transportation and mobility: recent advances, trends and challenges

AI Torre‐Bastida, J Del Ser, I Laña… - IET Intelligent …, 2018 - Wiley Online Library
Big Data is an emerging paradigm and has currently become a strong attractor of global
interest, specially within the transportation industry. The combination of disruptive …

Smart parking systems: Reviewing the literature, architecture and ways forward

C Biyik, Z Allam, G Pieri, D Moroni, M O'fraifer… - Smart Cities, 2021 - mdpi.com
The Internet of Things (IoT) has come of age, and complex solutions can now be
implemented seamlessly within urban governance and management frameworks and …

[Retracted] A Real‐Time Crowd Monitoring and Management System for Social Distance Classification and Healthcare Using Deep Learning

S Yadav, P Gulia, NS Gill… - Journal of Healthcare …, 2022 - Wiley Online Library
Coronavirus born COVID‐19 disease has spread its roots in the whole world. It is primarily
spread by physical contact. As a preventive measure, proper crowd monitoring and …

Survey on big data techniques in intelligent transportation system (ITS)

A Mohandu, M Kubendiran - Materials Today: Proceedings, 2021 - Elsevier
Big Data is an evolving exemplar moreover, particularly within in the transportation system,
has now become a powerful enticement of global interest. On the basis, Big Data is often …

Fundamental Directions of the Development of the Smart Cities Concept and Solutions in Poland

Ł Brzeziński, MK Wyrwicka - Energies, 2022 - mdpi.com
As city areas have been experiencing dynamic growth, the efficient development of cities is
becoming a priority for technologically advanced countries and for states further down on the …

Performance analysis of an optimized ANN model to predict the stability of smart grid

A Chahal, P Gulia, NS Gill, JM Chatterjee - Complexity, 2022 - Wiley Online Library
The stability of the power grid is concernment due to the high demand and supply to smart
cities, homes, factories, and so on. Different machine learning (ML) and deep learning (DL) …

Success factors of smart cities: a systematic review of literature from 2000-2018

A Aldegheishem - TeMA-Journal of Land Use, Mobility and …, 2019 - serena.unina.it
The aim of this paper is to review smart city literature to achieve these goals. More than 150
sources of literature were approached and analyzed with a view of finding out drivers and …

A survey on smart parking systems in urban cities

H Zulfiqar, HM Ul Haque, F Tariq… - Concurrency and …, 2023 - Wiley Online Library
Parking vehicles in densely populated areas are often challenging, stressful, and sometimes
it becomes a monotonous job for the drivers in jam‐packed areas. There are several …

[图书][B] IoT-Enabled Convolutional Neural Networks: Techniques and Applications

M Naved, VA Devi, L Gaur, AA Elngar - 2023 - books.google.com
Convolutional neural networks (CNNs), a type of deep neural network that has become
dominant in a variety of computer vision tasks, in recent years, CNNs have attracted interest …