The advancement and popularity of smartphones have made it an essential and all-purpose
device. But lack of advancement in battery technology has held back its optimum potential …

To ensure user satisfaction and success of mobile applications, it is important to provide
highly performant applications. This is particularly important for resource-constrained …

We introduce our method and system for face recognition using multiple pose-aware deep
learning models. In our representation, a face image is processed by several pose-specific …

Android devices have limited hardware resources (eg, memory). Excessive consumption of
such resources may lead to crashes, poor responsiveness, battery drain, and negative user …

The exponential rise of deep learning, aided by the availability of several frameworks and
specialized hardware, has led to its application in a wide variety of domains. The availability …

Memory leaks in operating system (OS) kernels can cause critical performance and security
issues. However, it is quite challenging to detect memory leaks due to the inherent …

We propose a distributed Learning Automata (LA) for spectrum management problem in
Cognitive Radio (CR) networks. The objective is to design intelligent Secondary Users (SUs) …

This work presents the Digital-Systems Verifier (DSVerifier), which is a verification tool
developed for digital systems. In particular, DSVerifier employs the bounded model checking …

(57) ABSTRACT A method and apparatus of a device for performance man agement by
terminating application programs that consume an excessive amount of system resources is …

Uncrewed Aerial Vehicles (UAVs) have been used in mission-critical scenarios such as
Search and Rescue (SAR) missions. In such a mission-critical scenario, flight autonomy is a …