Assouad-Nagata dimension addresses both large and small scale behaviors ...
Sparse subspace clustering (SSC) using greedy-based neighbor selection, ...
This paper presents a novel approach to conduct highly efficient federat...
Federated learning (FL) is a promising distributed learning technique
pa...
This paper studies methods to achieve a high and flexible coverage
perfo...
This paper aims to propose a three-dimensional (3D) point process that c...
The asymptotic dimension is an invariant of metric spaces introduced by
...
This paper aims to propose a three-dimensional (3D) point process model ...
The asymptotic dimension of metric spaces is an important notion in geom...
Sparse subspace clustering (SSC) using greedy-based neighbor selection, ...
It was recently proved that every planar graph is a subgraph of the stro...
Hajós conjectured that every graph containing no subdivision of the
comp...
Sparse subspace clustering (SSC) relies on sparse regression for accurat...
Consider a large-scale cellular network in which base stations (BSs) ser...
This paper aims to exploit the fundamental limits on the downlink covera...
To attain reliable communications traditionally relies on a closed-loop
...
In a heterogeneous cellular network (HetNet) consisting of multiple diff...