Smart roads: An overview of what future mobility will look like

S Trubia, A Severino, S Curto, F Arena, G Pau - Infrastructures, 2020 - mdpi.com
Transport engineering has recently undergone several significant changes and innovations,
one of which is the appearance and spread of autonomous vehicles; with this technology …

A review on smart city-IoT and deep learning algorithms, challenges

V Rajyalakshmi, K Lakshmanna - International journal of …, 2022 - inderscienceonline.com
Recent improvements in the IoT are giving rise to the explosion of interconnected devices,
empowering many smart applications. IoT devices engender massive data that requires …

Applied artificial intelligence as event horizon of cyber security

A Ali, AW Septyanto, I Chaudhary… - … for Technology and …, 2022 - ieeexplore.ieee.org
The world is digitizing at an unprecedented rate. Information systems and technology are
changing or evolving very fast. With advances in technology, the speed of processes, and …

Analysis of income on the basis of occupation using data mining

AU Rehman, RM Saleem, Z Shafi… - … for Technology and …, 2022 - ieeexplore.ieee.org
Income forecasting is always the idea of knowing how many people us are around. Here we
saw how to use machine learning technology to test people's income according to their …

Cloud assisted Internet of things intelligent transportation system and the traffic control system in the smart city

C Liu, L Ke - Journal of Control and Decision, 2023 - Taylor & Francis
Presently, most smart cities face massive traffic issues every day. The smart cities' significant
challenge is the traffic control system, wherein some places are automated and cost …

A Proposed Architecture for Traffic Monitoring & Control System via LiFi Technology in Smart Homes

M Asif, TA Khan, N Taleb, RA Said… - … for Technology and …, 2022 - ieeexplore.ieee.org
Realizing secure and fast communication in smart homes is still a challenging task due to
slow and imperfect information reception from end nodes for proper traffic control. The image …

FuzzyNet-Based Modelling Smart Traffic System in Smart Cities Using Deep Learning Models

PK Mall, V Narayan, S Pramanik… - … of Research on Data …, 2023 - igi-global.com
The current lockouts, climatic variations, population expansion, and constraints on
convenience and natural resource access are some of the factors that are making the need …

Assessing the key enablers for Industry 4.0 adoption using MICMAC analysis: a case study

S Krishnan, S Gupta, M Kaliyan, V Kumar… - International Journal of …, 2021 - emerald.com
Purpose The aim of this research is to assess the key enablers of Industry 4.0 (I4. 0) in the
context of the Indian automobile industry. It is done to apprehend their comparative effect on …

Intelligent Cloud Based Heart Disease Prediction System Empowered with Supervised Machine Learning.

MA Khan, S Abbas, A Atta, A Ditta… - Computers …, 2020 - search.ebscohost.com
The innovation in technologies related to health facilities today is increasingly helping to
manage patients with different diseases. The most fatal of these is the issue of heart disease …

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 …