IoT applications with their resource-constrained sensor devices can benefit from adjusting
their operations to the phenomena they sense and the environments they operate in …

Due to the great advantage of LiDAR sensors in perceiving complex driving environments,
LiDAR-based 3D object detection has recently drawn significant attention in autonomous …

As AI applications are emerging in diverse fields-eg, industry, healthcare or finance-
weaknesses and failures of such applications might bare unacceptable risks which need to …

Sustainable engineering is of great importance for resilient and agile technology and
society. This book balances economics, environment, and societal elements of sustainable …

Resource constraints are one of the main design challenges for wireless sensor network
applications and visual sensing networks that employ cameras in particular. The objective in …

The recent advancement of data-driven machine learning models has helped us in
develo** various state-of-the-art intelligent systems. However, these systems are primarily …

Background: Knowledge engineering is essential for a knowledge-based clinical decision
support system for a medical ontology and it assists medical professionals in taking …

Integrated AI systems can often be composed of a series of black-box components. We
propose a planning based approach that takes a set of components, initially available …