Results 111 to 120 of about 31,140,529 (283)

Large parameter asymptotic analysis for homogeneous normalized random measures with independent increments

Canadian Journal of Statistics, EarlyView.
Abstract Homogeneous normalized random measures with independent increments represent a broad class of Bayesian nonparametric priors and thus are widely used. In this article, we obtain the strong law of large numbers, the central limit theorem (CLT), and the functional central limit theorem (fCLT) of such measures when the concentration parameter a ...
Junxi Zhang, Shui Feng, Yaozhong Hu
wiley   +1 more source

Edge-Federated Learning-Based Intelligent Intrusion Detection System for Heterogeneous Internet of Things

IEEE Access
Distributed denial of service (DDoS) is an awful cyber threat, becoming more prevalent with mature heterogeneous IoT (HetIoT) applications like intelligent agriculture, wearables, and self-driving cars. Developing intelligent intrusion detection systems (
Shalaka S. Mahadik, Pranav M. Pawar, Raja Muthalagu   +2 more
doaj   +1 more source

Federated Loss Exploration for Improved Convergence on Non-IID Data

Internò C, Olhofer M, Jin Y, Hammer B. Federated Loss Exploration for Improved Convergence on Non-IID Data. In: 2024 International Joint Conference on Neural Networks (IJCNN). IEEE International Joint Conference on Neural Networks (IJCNN).
Hammer, Barbara ; https://orcid.org/, Jin, Yaochu, Internò, Christian, Olhofer, Markus   +3 more
core   +1 more source

Sparse maximum likelihood estimation of regression models

Canadian Journal of Statistics, EarlyView.
Abstract For regression model selection and estimation, we study a small set of candidate models of maximum likelihood from which all information criteria such as the Akaike information criterion (AIC) and the Bayesian information criterion (BIC) choose their models.
Min Tsao
wiley   +1 more source

Fintech Policy and the Rise of Green Technological Inventions

Corporate Social Responsibility and Environmental Management, EarlyView.
ABSTRACT Technological transformation can enhance enterprises' green invention by promoting knowledge spillovers, alleviating financial constraints, and supporting innovative business models. Within this framework, our study investigates the effect of technological infrastructure construction on green technology invention, using the ‘Fintech China ...
Tao Huang, Qurat ul Ain, Tahir Yousaf, Kaiyang Zhong   +3 more
wiley   +1 more source

Driving International Revenue Growth Through Social Sustainability: Insights for Corporate Social Responsibility

Corporate Social Responsibility and Environmental Management, EarlyView.
ABSTRACT Firms' international revenues help diversify revenue sources and reduce reliance on home markets, yet remain hard to grow given complex regulations, cultural differences and fierce competition. Grounded in the resource‐based view, we argue that social sustainability is a valuable, rare, inimitable and non‐substitutable resource that promotes ...
Ashutosh Singh, Salwa Saleh Almasabi, Diana Korayim, Judit Petra Koltai   +3 more
wiley   +1 more source

VINO_EffiFedAV: VINO with efficient federated learning through selective client updates for real-time autonomous vehicle object detection

Results in Engineering
The advancement of autonomous vehicle technology relies heavily on sophisticated machine-learning models that facilitate real-time object detection and classification.
K. Vinoth, P. Sasikumar
doaj   +1 more source

2D Implementation of Kinetic‐Diffusion Monte Carlo in Eiron

Contributions to Plasma Physics, EarlyView.
ABSTRACT Particle‐based kinetic Monte Carlo simulations of neutral particles are one of the major computational bottlenecks in tokamak scrape‐off layer simulations. This computational cost comes from the need to resolve individual collision events in high‐collisional regimes.
Oskar Lappi, Emil Løvbak, Thijs Steel, Giovanni Samaey   +3 more
wiley   +1 more source

Federated Learning for Breast Cancer Classification: A Comparative Study of Aggregation Methods

Information
Federated Learning (FL) allows healthcare institutions to collaboratively develop machine learning models while safeguarding patient data, making it ideal for privacy-sensitive medical imaging.
Nadjat Saàdia Lachemi, Medjeded Merati, Saïd Mahmoudi   +2 more
doaj   +1 more source

Epileptic arousals: A neglected clinical entity

Epilepsia, EarlyView.
Abstract Objective Epileptic arousals (EAs) are seizures characterized solely by arousal from sleep. EAs are unrecognized in current seizure classifications. Their subtle semiology and inconsistently detectable ictal activity in scalp electroencephalography (EEG) complicate differentiation from physiological arousals (PAs). This study characterizes EAs
Lea Fisel, Nóra Pető, Sotirios Kalousios, Nicolas Zabler, Armin Brandt, Peter C. Reinacher, Dieter Riemann, Mohammad F. Khazali, Andreas Schulze‐Bonhage   +8 more
wiley   +1 more source