Export Citations
Save this search
Please login to be able to save your searches and receive alerts for new content matching your search criteria.
- research-articleJuly 2024
Adaptive activation functions for predictive modeling with sparse experimental data
Neural Computing and Applications (NCAA), Volume 36, Issue 29Pages 18297–18311https://doi.org/10.1007/s00521-024-10156-8AbstractA pivotal aspect in the design of neural networks lies in selecting activation functions, crucial for introducing nonlinear structures that capture intricate input–output patterns. While the effectiveness of adaptive or trainable activation ...
- research-articleFebruary 2024
Evaluation of classification models in limited data scenarios with application to additive manufacturing
Engineering Applications of Artificial Intelligence (EAAI), Volume 126, Issue PChttps://doi.org/10.1016/j.engappai.2023.106983AbstractThis paper presents a novel framework that enables the generation of unbiased estimates for test loss using fewer labeled samples, effectively evaluating the predictive performance of classification models in data-limited applications. The ...
- columnAugust 2015
Internetworking with Bluetooth Low Energy
GetMobile: Mobile Computing and Communications (SIGMOBILE-GETMOBILE), Volume 19, Issue 2Pages 34–38https://doi.org/10.1145/2817761.2817774Recent developments in the Bluetooth SIG have made Bluetooth Low Energy (LE), marketed as Bluetooth Smart, a strong contender for the underlying wireless technology in many IoT applications. The key strengths of Bluetooth LE are its very low power and ...