Autonomous vehicles (AV) are anticipated to have a significant positive impact on society by
reducing accidents and optimizing traffic. However, they are primarily based on …

Diabetes is one among many chronic diseases. It is the most common disease and lots of
peoples are affected by this. There are many things that are liable for diabetes, mainly age …

Currently, autonomous vehicles (AVs) have gained considerable research interest in motion
planning (MP) to control driving. Deep learning (DL) is a subset of machine learning …

Birds-Eye-View (BEV) perception can naturally represent natural scenes, which is conducive
to multimodal data processing and fusion. BEV data contain rich semantics and integrate the …

Intersection is one of the most challenging scenarios for autonomous driving tasks. Due to
the complexity and stochasticity, essential applications (eg, behavior modeling, motion …

Road traffic accident (RTA) is a critical global public health concern, particularly in
develo** countries. Analyzing past fatalities and predicting future trends is vital for the …

The creating centrality of sentiment assessment agrees with the advancement of the
electronic stage, for instance, cyber-vulnerability reviews, gathering discussions for cyber …

Healthcare institutions around the world become an organised and user-centred structures.
Managing vast volumes of data, such as IoT device data or medical records of each person …

The intelligent transportation system, especially autonomous vehicles, has seen a lot of
interest among researchers owing to the tremendous work in modern artificial intelligence …

This chapter presents and compares results of simple and efficient deep learning models to
perform sentiment analysis and text classification. Natural language processing is a massive …