This survey examines approaches to promote Collaborative Learning in distributed systems
for emergent Intelligent Autonomous Systems (IAS). The study involves a literature review of …

Autonomy in cybersystems depends on their ability to be self-aware by understanding the
intent of services and applications that are running on those systems. In case of mission …

The current article develops a model and method of training a classifier that exhibits
characteristics of resilience to adversarial attacks, fault injection, and concept drift. The …

Intelligent Autonomous Systems (IAS) are highly cognitive, reflective, multitask-able, and
effective in knowledge discovery. Examples of IAS include software systems that are …

Autonomous cyber systems continuously receive large streams of diverse data from
numerous entities operating and interacting in their environment. It is imperative that the …

Intelligent Autonomous Systems (IAS) are highly cognitive, reflective, multitask-able, and
effective in knowledge discovery. Examples of IAS include software systems that are …

Cognitive autonomy of an autonomous system depends on its cyber module's ability to
comprehend the actions and intent of the applications and services running on that system …

Systems with smart autonomy should be capable of exhibiting high-level understanding of
the system beyond their primary actions and their limitations and capacity. They should …

Application of manufacturing testing during the production process of integrated circuits is
considered essential to ensure the quality of the devices used in the field. However, it is …

1.1 Abstract Intelligent Autonomous Systems (IAS) reconstruct their perception through
adaptive learning and meet mission objectives. IAS are highly cognitive, rich in knowledge …