Results 91 to 100 of about 109,032 (273)
Advanced Intelligent Systems, EarlyView.This paper presents an integrated AI‐driven cardiovascular platform unifying multimodal data, predictive analytics, and real‐time monitoring. It demonstrates how artificial intelligence—from deep learning to federated learning—enables early diagnosis, precision treatment, and personalized rehabilitation across the full disease lifecycle, promoting a ...
Mowei Kong +4 more
wiley +1 more source
Genomic Structural Variations Provide Insights Into Litter Size and Teat Number Traits in Hu Sheep
Animal Research and One Health, EarlyView.Here, we conducted whole genome sequencing on 300 Hu sheep with an average depth of 16.51X. Two candidate genes associated with litter size and teat number traits were identified, namely MAST2 and AFDN. ABSTRACT Litter size and the teat number are important economic indicators in sheep production.
Xin Xiang +3 more
wiley +1 more source
IEEE AccessDistributed 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 +2 more
doaj +1 more source
On the estimation of covariance matrices using panel data artificial regressions [PDF]
The use of artificial regressions to compute the variance of the difference of pairs of panel data estimators that cannot be ranked in terms of efficiency is considered.
Patacchini, Eleonora
core
Regional Shopping Objectives in British Grocery Retail Transactions Using Segmented Topic Models
Applied Stochastic Models in Business and Industry, EarlyView.ABSTRACT Understanding the customer behaviours behind transactional data has high commercial value in the grocery retail industry. Customers generate millions of transactions every day, choosing and buying products to satisfy specific shopping needs.
Mariflor Vega Carrasco +4 more
wiley +1 more source
Addressing Non-IID with Data Quantity Skew in Federated Learning
InformationNon-IID is one of the key challenges in federated learning. Data heterogeneity may lead to slower convergence, reduced accuracy, and more training rounds.
Narisu Cha, Long Chang
doaj +1 more source
Eco‐Innovation: Drivers and Obstacles for Agriculture Firms in a Developing Country
Business Strategy and the Environment, EarlyView.ABSTRACT Sustainable agriculture is becoming increasingly vital for food security and economic growth, particularly as the agricultural sector grapples with challenges posed by climate change. This study, grounded in the environmental innovation theory, resource‐based view, and dynamic capabilities approach, uses logistic and multinomial logistic ...
Nelyda Campos‐Requena +4 more
wiley +1 more source
Performance Enhancement in Federated Learning by Reducing Class Imbalance of Non-IID Data. [PDF]
Sensors (Basel), 2023 Seol M, Kim T.
europepmc +1 more source
Construction of Non-asymptotic Confidence Sets in 2-Wasserstein Space
, 2017 In this paper, we consider a probabilistic setting where the probability measures are considered to be random objects. We propose a procedure of construction non-asymptotic confidence sets for empirical barycenters in 2-Wasserstein space and develop the ...
Ebert, Johannes +2 more
core
Restricted Tweedie stochastic block models
Canadian Journal of Statistics, EarlyView.Abstract The stochastic block model (SBM) is a widely used framework for community detection in networks, where the network structure is typically represented by an adjacency matrix. However, conventional SBMs are not directly applicable to an adjacency matrix that consists of nonnegative zero‐inflated continuous edge weights.
Jie Jian, Mu Zhu, Peijun Sang
wiley +1 more source