Artificial Intelligence (AI) at the edge is the utilization of AI in real-world devices. Edge AI
refers to the practice of doing AI computations near the users at the network's edge, instead …

Resource management in computing is a very challenging problem that involves making
sequential decisions. Resource limitations, resource heterogeneity, dynamic and diverse …

Artificial intelligence (AI) and machine learning have changed the nature of scientific inquiry
in recent years. Of these, the development of virtual assistants has accelerated greatly in the …

The proliferation of ubiquitous Internet of Things (IoT) sensors and smart devices in several
domains embracing healthcare, Industry 4.0, transportation and agriculture are giving rise to …

Edge computing is an emerging paradigm that offloads the computations and analytics
workloads onto the Internet of Things (IoT) edge devices to accelerate the computation …

Phase change materials (PCMs) are a class of thermo‐responsive materials that can be
utilized to trigger a phase transition which gives them thermal energy storage capacity. Any …

Despite significant improvements over the last few years, cloud-based healthcare
applications continue to suffer from poor adoption due to their limitations in meeting stringent …

Cloud computing is a mainstay of modern technology, offering cost-effective and scalable
solutions to a variety of different problems. The massive shift of organization resource needs …

Originally a part of the study of physics, quantum mechanics is fast becoming an
interdisciplinary field. Quantum computing offers the potential to reach the higher levels of …

Agile development has emerged as a prominent approach in digital transformations due to
its flexibility and adaptability to changing requirements. This review explores the theoretical …