Results 161 to 170 of about 31,140,529 (283)
Federated Learning Framework for Brain Tumor Detection Using MRI Images in Non-IID Data Distributions. [PDF]
J Imaging Inform MedMuntaqim MDZ, Smrity TA.
europepmc +1 more source
Quality and Reliability Engineering International, EarlyView.ABSTRACT Electric multiple unit (EMU) trains, widely used in modern railway transportation, use Nickel–Cadmium (Ni–Cd) batteries to power auxiliary systems on board, including lighting, ventilation, control electronics, and emergency systems. These batteries are often connected in parallel to ensure a wider power supply range for electrical loads that ...
Christian Capezza +4 more
wiley +1 more source
A Study of Enhancing Federated Learning on Non-IID Data with Server Learning. [PDF]
IEEE Trans Artif IntellMai VS, La RJ, Zhang T.
europepmc +1 more source
International Journal of Robust and Nonlinear Control, EarlyView.ABSTRACT In privacy protection of control systems, a trade‐off between control performance and privacy level is often pointed out. Our goal in this paper is to improve this trade‐off by shaping the frequency of noise added for privacy protection when the control objective is to track a reference signal, which is taken as a piece of information whose ...
Rintaro Watanabe +3 more
wiley +1 more source
International Journal of Satellite Communications and Networking, EarlyView.ABSTRACT Low Earth Orbit (LEO) satellite constellations offer unprecedented opportunities for global broadband connectivity but pose significant beamforming challenges due to rapid platform motion and stringent onboard hardware constraints. Fully digital architectures, while optimal in theory, remain impractical for satellite payloads, motivating ...
Mohammad Momani +2 more
wiley +1 more source
Recent advances in machine learning have highlighted Federated Learning (FL) as a promising approach that enables multiple distributed users (so-called clients) to collectively train ML models without sharing their private data.
Kourtellis, Nicolas +6 more
core +1 more source
International Journal of Satellite Communications and Networking, EarlyView.ABSTRACT In this paper, the correlation learning estimation and adaptive reduction (CLEAR) of interference, an adaptive, blind and transparent interference compensation method applied in a wideband dual‐channel receiver, is studied for a pair of independent satellite multi‐connectivity links, using the same carrier frequency and signal bandwidth in use
Svilen Dimitrov
wiley +1 more source
Sustainable Development, EarlyView.ABSTRACT This study examines the dynamic interactions between climate risk, oil price uncertainty (OPU), and technological innovation in shaping Sustainable Development Goals (SDGs) related to Sustainable Cities and Communities (SCC) across Gulf Cooperation Council (GCC) countries from 2005 to 2024. Using a panel Time‐Varying Interactive Fixed Effects (
Mohamed Sami Ben Ali +2 more
wiley +1 more source
Sustainable Development, EarlyView.ABSTRACT Mountain areas are hotspots of high natural and cultural value, but they face sustainability challenges. This research offers a quantitative cross‐case analysis of 21 case studies from mountain regions across 14 European countries, examining how local stakeholders perceive the contribution of mountain value chains to sustainable development ...
María Mar Delgado‐Serrano +2 more
wiley +1 more source
Tracking SDG‐7 in China, India, and Japan
Sustainable Development, EarlyView.ABSTRACT This study examines the impact of clean energy consumption on environmental quality, supporting the UN Sustainable Development Goal (SDG) 7, which aims to ensure access to clean, affordable energy for all. The Auto‐Regressive Distributed Lag (ARDL) model is used for Japan, and the Fourier ARDL for China and India, followed by a Granger ...
Arvind Goswami +3 more
wiley +1 more source