Deep learning models are widely being employed for object detection due to their high
performance. However, the majority of applications that require object detection are …

Resource-constrained IoT devices, such as sensors and actuators, have become ubiquitous
in recent years. This has led to the generation of large quantities of data in real-time, which …

With the advent of 5G commercialization, the need for more reliable, faster, and intelligent
telecommunication systems is envisaged for the next generation beyond 5G (B5G) radio …

This paper thoroughly surveys machine learning (ML) algorithms acceleration in hardware
accelerators, focusing on Field-Programmable Gate Arrays (FPGAs). It reviews 287 out of …

With the advent of 5G commercialization, the need for more reliable, faster, and intelligent
telecommunication systems is envisaged for the next generation beyond 5G (B5G) radio …

Accountability and resilience of AI/ML based 6G services is paramount now more than ever.
In this chapter we are going to discuss the potential of Explainable AI (XAI) to address the …

Deep learning (DL) has achieved enormous success in a variety of application domains,
such as image processing, natural language processing, speech analysis, and medical …