Traffic management is improved in cutting-edge smart cities using technologies such as
machine learning and deep learning to streamline daily tasks and boost productivity …

Transport engineering has recently undergone several significant changes and innovations,
one of which is the appearance and spread of autonomous vehicles; with this technology …

Smart cities have revolutionized urban living by incorporating sophisticated technologies to
optimize various aspects of urban infrastructure, such as transportation systems. Effective …

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 …

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 …

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 …

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 …

In this study, a weighted federated learning approach is proposed for electrocardiogram
(ECG) arrhythmia classification. The proposed approach considers the heterogeneity of data …

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 …

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 …