Results 171 to 180 of about 49,604 (295)

Extended Kalman filter using a kernel recursive least squares observer

open access: yesThe 2011 International Joint Conference on Neural Networks, 2011
P. Zhu, Badong Chen, J. Príncipe
semanticscholar   +1 more source

IDLB: An SDN‐Based Load‐Balancing Routing Protocol for Autonomous Satellite Constellation Networks

open access: yesInternational Journal of Satellite Communications and Networking, Volume 44, Issue 2, Page 109-127, March/April 2026.
ABSTRACT Routing in satellite constellation networks with intersatellite links has become an important aspect to enable broadband Internet access and to integrate into terrestrial networks. However, their dynamic characteristics and large physical size require specifically tailored solutions.
Manuel M. H. Roth   +4 more
wiley   +1 more source

Blockchain and Digital Technologies in the Telecommunications Industry

open access: yesThunderbird International Business Review, Volume 68, Issue 2, Page 139-163, March/April 2026.
ABSTRACT This article examines how fourth industrial revolution (4IR) technologies, specifically blockchain and digital twin technologies, can be utilized to address the energy supply challenge and enhance the management of distributed telecom infrastructure assets in a research context.
Charles Okeyia   +3 more
wiley   +1 more source

Probability forecasts – Part 1: ensembles and probabilistic forecasts

open access: yesWeather, Volume 81, Issue 3, Page 82-88, March 2026.
Ensemble weather forecasts have been in use for many years to help forecasters understand uncertainty in weather predictions but are now becoming core to some operational Numerical Weather Prediction (NWP) systems. Ensembles offer greater predictive skill and information content than deterministic forecasts but are more complex to interpret and ...
Ken Mylne
wiley   +1 more source

Interpretable Machine Learning: A Comprehensive Review of Foundations, Methods, and the Path Forward

open access: yesWIREs Data Mining and Knowledge Discovery, Volume 16, Issue 1, March 2026.
This systematic review of 352 studies establishes a comprehensive taxonomy for Interpretable Machine Learning, transitioning from foundational intrinsic models to advanced deep learning explanations. It reveals a critical paradigm shift toward “mechanistic interpretability” and actionable recourse, emphasizing that future AI systems must be rigorously ...
Shimon Fridkin, Michael Bendersky
wiley   +1 more source

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