The increase in the expectations of artificial intelligence (AI) technology has led to machine
learning technology being actively used in the medical field. Non-negative matrix …

Success in student learning is the primary aim of the educational system. Artificial
intelligence utilizes data and machine learning to achieve excellence in student learning. In …

In recent decades, the rapid advances in information technology have promoted a
widespread deployment of medical cyber-physical systems (MCPS), especially in the area of …

Power consumption is one of the top limiting factors in high-performance computing systems
and data centers, and dynamic voltage and frequency scaling (DVFS) is an important …

Most modern mobile cyber-physical systems such as smartphones come equipped with
multi-processor systems-on-chip (MPSoCs) with variant computing capacity both to cater to …

Heterogeneous multi-processor system-on-chip (MPSoC) smartphones are required to offer
increasing performance and user quality-of-experience (QoE), despite comparatively slow …

Applications with adaptability are widely available on the edge devices with energy
harvesting capabilities. For their runtime quality optimization, however, current approaches …

Side-channel attacks remain a challenge to information flow control and security in mobile
edge devices till this date. One such important security flaw could be exploited through …

Power management and optimization play a significant role in modern computer systems,
from battery-powered devices to servers running in data centres. Existing approaches for …

With the increasing demand for low power and high performance, central processing unit–
graphic processing unit (CPU–GPU) heterogeneous multiprocessor systems-on-chip …