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Generate realistic test data in Python fast. No dataset required

Learn the NumPy trick for generating synthetic data that actually behaves like real data.
IEEE

A New Reconfigurable True Random Number Generator and Physical Unclonable Function Unified Chip With On-Chip Auto-Calibration

Abstract: True random number generator (TRNG) and physical unclonable function (PUF) have been extensively used to secure low-cost Internet of Things (IoT) endpoints. In this paper, a lightweight ...
Frontiers

Bundled assessment to replace on-road test on driving function in stroke patients: a binary classification model via random forest

Objectives: This study proposes to construct a model to replace the on-road test and provide a bundled assessment on the driving function of stroke patients. Methods: Clinical data were collected from ...
IEEE

Protein function prediction from interaction networks using a random walk ranking algorithm

Abstract: Predicting protein function at the proteomic-scale is a key task in computational systems biology. High-throughput experimental methods have recently made available many protein interaction ...