The numbers tell a striking story. Forty-three percent of companies now use AI for hiring—nearly double last year's 26%. Yet ...

Abstract: As a very prominent research application of the theory of rough sets, attribute reduction technique has made significant strides in a lot of fields, including decision making, granular ...

Creative Commons (CC): This is a Creative Commons license. Attribution (BY): Credit must be given to the creator. EncoderMap is a dimensionality reduction method that is tailored for the analysis of ...

Have a question about this project? Sign up for a free GitHub account to open an issue and contact its maintainers and the community. Issues are used to track todos, bugs, feature requests, and more.

ABSTRACT: Node renumbering is an important step in the solution of sparse systems of equations. It aims to reduce the bandwidth and profile of the matrix. This allows for the speeding up of the ...

The mathematical foundation of post-quantum cryptography primarily relies on complex mathematical problems, such as the shortest vector problem (SVP) and closest vector problem (CVP) within lattice ...

There's probably nothing stopping the wave that is artificial intelligence. That makes it extra important to rein in the tech's alarming energy usage. Fortunately, a research team at BitEnergy AI may ...

Breast reduction is all the rage in cosmetic surgery. Are women asserting their independence or capitulating to yet another impossible standard of beauty? Credit...Maggie Shannon for The New York ...

Treatment of acute stroke, before a distinction can be made between ischemic and hemorrhagic types, is challenging. Whether very early blood-pressure control in the ambulance improves outcomes among ...

Attribute reduction is a research hotspot in rough set theory. Traditional heuristic attribute reduction methods add the most important attribute to the decision attribute set each time, resulting in ...