Embedded intelligence (EI) is an emerging research field and has the objective to
incorporate machine learning algorithms and intelligent decision-making capabilities into …

Abstract Deep Neural Network (DNN) models for both resource-rich environments and
resource-constrained devices have become abundant in recent years. As of now, the …

Object detection and classification is an essential task of computer vision. A very efficient
algorithm for detection and classification is YOLO (You Look Only Once). We consider …

Abstract Direct Torque Control (DTC) of Induction Machine (IM) has received increasing
attention due to its high performance and low dependence on machine parameters …

Accurate air quality monitoring requires processing of multi-dimensional, multi-location
sensor data, which has previously been considered in centralised machine learning models …

The rapid adoption of Advanced Driver Assistance Systems (ADAS) in modern vehicles,
aiming to elevate driving safety and experience, necessitates the real-time processing of …

Convolutional neural network (CNN) is used efficiently for the classification of hyperspectral
imagery (HSI). Both 3-D CNN and hybrid 2D–3D CNN have better performance due to the …

The electronic nose (e-nose) consists of a sensor array, a pattern recognition engine, and
peripheral circuitry, where the pattern recognition engine performs gas classification. The …

The very good results achieved with recent algorithms for image classification based on
deep learning have enabled new applications in many domains. The medical field is one …

Abstract Convolutional Neural Networks (CNNs) have improved several computer vision
applications, like object detection and classification, when compared to other machine …