Modern society requires the public to have an increased knowledge of science beyond the basics, with average people needing to understand concepts in science, technology, engineer...
Christopher B. Stapleton, Eileen M. Smith, Charles...
Machine learning approaches to indoor WiFi localization involve an offline phase and an online phase. In the offline phase, data are collected from an environment to build a local...
Sinno Jialin Pan, Dou Shen, Qiang Yang, James T. K...
Adaptive neural network is a powerful tool for prediction of air pollution abatement scenarios. But it is often difficult to avoid overfit during the training of adaptive neural n...
In recent years, the HCI and CSCW communities have begun to examine the role technology plays in personal, rather than professional settings. Part of this work has begun to addres...
Michael Massimi, Jill P. Dimond, Christopher A. Le...
Within the verification community, there has been a recent increase in interest in Quantified Boolean Formula evaluation (QBF) as many interesting sequential circuit verification ...