Although defect engineering is the core strategy to improve thermoelectric properties, there are limited methods to effectively modulate the designed defects. Herein, we demonstrate that a high ZT ...

Deep neural networks (DNNs) have been widely used for learning various wireless communication policies. While DNNs have demonstrated the ability to reduce the time complexity of inference, their ...

Coming up with time and space complexity for your solutions (see Big-O below) Testing your solutions There is a great intro for methodical, communicative problem-solving in an interview. You'll get ...

This closes an open problem of simultaneously achieving poly (k log n) decoding time using O (k log n) tests without any assumptions on k. In addition, we show that the same scaling laws can be ...

Any project that uses Protobuf pure-Python backend to parse untrusted Protocol Buffers data containing an arbitrary number of recursive groups, recursive messages or a series of SGROUP tags can be ...