Results 101 to 110 of about 130 (129)

Moment‐curvature behavior of continuous reinforced concrete slab strips—Experimental determination and modeling

Structural Concrete, EarlyView.
Abstract With the market introduction of new reinforcing materials, such as corrosion‐resistant steel, the effect of their stress–strain relationship on the ductility of reinforced concrete structures needs to be evaluated. Their moment‐curvature behavior significantly influences bending moment redistributions, rotation capacity, and deformation at ...
Nathalie Reckinger, Karel Thoma, Walter Kaufmann   +2 more
wiley   +1 more source

Data privacy model using blockchain reinforcement federated learning approach for scalable internet of medical things

CAAI Transactions on Intelligence Technology, EarlyView.
Abstract Internet of Medical Things (IoMT) has typical advancements in the healthcare sector with rapid potential proof for decentralised communication systems that have been applied for collecting and monitoring COVID‐19 patient data. Machine Learning algorithms typically use the risk score of each patient based on risk factors, which could help ...
Chandramohan Dhasaratha, Mohammad Kamrul Hasan, Shayla Islam, Shailesh Khapre, Salwani Abdullah, Taher M. Ghazal, Ahmed Ibrahim Alzahrani, Nasser Alalwan, Nguyen Vo, Md Akhtaruzzaman   +9 more
wiley   +1 more source

Enhancing generalized spectral clustering with embedding Laplacian graph regularization

CAAI Transactions on Intelligence Technology, EarlyView.
Abstract An enhanced generalised spectral clustering framework that addresses the limitations of existing methods by incorporating the Laplacian graph and group effect into a regularisation term is presented. By doing so, the framework significantly enhances discrimination power and proves highly effective in handling noisy data.
Hengmin Zhang, Jian Yang, Bob Zhang, Yang Tang, Wenli Du, Bihan Wen   +5 more
wiley   +1 more source

HPoolGCL: Augmentation‐Free Cross‐Granularity Graph Contrastive Learning With Hierarchical Pooling

CAAI Transactions on Intelligence Technology, EarlyView.
ABSTRACT Graph contrastive learning (GCL) has emerged as a dominant paradigm for self‐supervised representation learning for attributed graph data. However, existing GCL methods heavily rely on empirical graph data augmentation, which may distort intrinsic graph semantics and produce poor generalisation without carefully chosen or designed augmentation
Fenglin Cen, Shijie Liu, Quan Feng, Tiantian He, Ji Xu   +4 more
wiley   +1 more source

RAGLRO: Retrieval‐Augmented Generation With Large Language Models for Robotic Operations

CAAI Transactions on Intelligence Technology, EarlyView.
ABSTRACT To enable autonomous operations in complex industrial environments, this paper proposes retrieval‐augmented generation with large language models for robotic operations (RAGLRO), a robotic framework specifically designed for power switchgear operation tasks.
Wenrui Wang, Penghong Wang, Yang Chen, Xianqi Zhang, Pinhao Song, Oleg Cherkasov, Xiaopeng Fan   +6 more
wiley   +1 more source

Multi‐Agent Reinforcement Learning Driven Dynamic Resource Optimisation in Healthcare Transportation Networks

CAAI Transactions on Intelligence Technology, EarlyView.
ABSTRACT This paper presents HealthNet, a novel framework for the dynamic optimisation of healthcare transportation networks using multi‐agent reinforcement learning. HealthNet leverages a spatiotemporal dependency module to capture complex spatiotemporal relationships in healthcare demand and resource allocation patterns, combined with centralised ...
Jianhui Lv, Byung‐Gyu Kim, Keqin Li, Heng Lu   +3 more
wiley   +1 more source

Clearing the Air: How Fine Particulate Matter Regulations Reshape Farmland Values in U.S. Corn and Soybean Regions

Journal of Agricultural Economics, EarlyView.
ABSTRACT We investigate the impact of air quality regulations targeting fine particulate matter (PM2.5) on farmland values in corn and soybean producing counties in the United States over the period 1997–2022. Using self‐reported farmland value data from the Agricultural Census and county‐level pollution classifications provided by the Environmental ...
Cécile Couharde, Rémi Generoso
wiley   +1 more source

The Meta Pricing Efficiency of Producer Cooperatives Under Hedonic Product Attributes: The Case of German Wine

Journal of Agricultural Economics, EarlyView.
ABSTRACT High internal coordination costs may put cooperatives at a disadvantage in the production and marketing of agri‐food products with hedonic quality attributes. The efficiency of cooperatives and non‐cooperatives is therefore compared with respect to their ability to place wines on the market at prices that reflect their measurable quality ...
Rebecca Hansen, Sebastian Hess
wiley   +1 more source

Network Structure and the Efficiency Gains from Mergers: Evidence from U.S. Freight Railroads

The RAND Journal of Economics, EarlyView.
ABSTRACT The trade‐off between market power and efficiency gains is central to antitrust analyses of mergers, but empirical evidence quantifying efficiencies remains limited. Using transaction‐level data from U.S. freight railroads (1985–2005), this article quantifies merger‐induced cost efficiencies, driven mainly by eliminating inter‐railroad ...
Yanyou Chen
wiley   +1 more source

A novel generalized spatial mark‐resight model that accounts for group associations

Methods in Ecology and Evolution, EarlyView.
Abstract The number and distribution of animals in space form the basis of many wildlife studies. Yet, reliable estimation of population abundance remains challenging. Generalized spatial mark‐resight (gSMR) models are widely applicable abundance estimators that do not require all individuals be uniquely identifiable.
Connor J. Meyer, Jesse Whittington, Mahdieh Tourani, Mark Hebblewhite   +3 more
wiley   +1 more source