Non-negative matrix factorization (NMF) is an excellent tool for unsupervised parts-based learning, but proves to be ineffective when parts of a whole follow a specific pattern. ...
In the spatial-integrated socioeconomic model field, a multi-agent approach is appropriate for supporting applications modelled at a detailed territory scale, but it is less used t...
Fenintsoa Andriamasinoro, Daniel Cassard, Bruno Ma...
In the so-called Information-Explosion Era, astronomical amount of information is ubiquitously produced and digitally stored. It is getting more and more convenient for cooperative...
—Recent developments have shown the possibility of leveraging silicon nanophotonic technologies for chip-scale interconnection fabrics that deliver high bandwidth and power effi...
Johnnie Chan, Gilbert Hendry, Aleksandr Biberman, ...
—With the prospect of atomic-scale computing, we study cumulative energy profiles of spin-spin interactions in nonferromagnetic lattices (Ising spin-glasses)—an established to...