Over the past decade, the artificial neural networks domain has seen a considerable
embracement of deep neural networks among many applications. However, deep neural …

In the era of IoT, embedded systems are becoming the cornerstone of many IoT related
applications, such as smart cars and wearable devices. However, embedded devices have …

Machine learning is becoming the cornerstones of smart and autonomous systems. Machine
learning algorithms can be categorized into supervised learning (classification) and …

The advancement Internet of things has led to an increasing exchange of information.
Privacy and security has become a major concern. In this emerging ubiquitous computing …

Abstract The Internet of Things (IoT) and cyber-physical systems (CPS) has grown
exponentially over the recent years, has motivated the development and deployment of the …

In the era of IoT and smart systems, an enormous amount of data will be generated from
various IoT/smart devices in smart homes, smart cars, etc. Typically, this big data is collected …

Efficient battery technology is imperative for the adoption of clean energy automotive
solutions. In addition, efficient battery technology extends the useful life of the battery as well …

Neuromorphic computing, inspired by biological neural networks, has emerged as a
promising approach for solving complex machine learning tasks with greater efficiency and …

With the proliferation of embedded computing, many machine learning (ML) applications
have found their way into embedded devices. The SVM classifier is deemed suitable for real …

Field-programmable gate array (FPGA) attempts a proper solution for fulfilling the
requirements of high-performance real-time DSP systems. Any IP core based on FPGA has …