Sparse Dynamic Programming has emerged as an essential tool for the design of efficient algorithms for optimization problems coming from such diverse areas as Computer Science, Computational Biolog
The potential of sparse grid discretizations for solving boundary integral equations is studied for the screen problem on a square of R sup 3.
Understanding fundamental limits of the various technologies suggested for future 5G and beyond cellular systems is crucial for developing efficient state-of-the-art designs.
Deep learning has revolutionized the way sensor data are analyzed and interpreted.
Topology managers expose network topology information to applications to improve application-level resource management.
While a variety of lossy compression schemes have been developed for certain forms of digital data (e.g., images, audio, video), the area of lossy compression techniques for arbitrary data tables h
An enormous increase in data traffic demanded by mobile users calls for effective (and efficient) deployment strategies such as multi-layer heterogeneous networks or ultradense small cell networks.
To demonstrate a real-time, mobile, networked MIMO system in a realistic tactical environment, the Defense Advanced Research Projects Agency (DARPA) has instituted a program called Mobile Network
To demonstrate a real-time, mobile, networked MIMO system in a realistic tactical environment, the Defense Advanced Research Projects Agency (DARPA) has instituted a program called Mobile Network M
The microluminescence surface scan technique has been used to investigate ambipolar carrier diffusion, photon diffusion, and photocarrier recombination in a nominally undoped InGaAs bulk layer latt
