Results 111 to 120 of about 152,408 (254)

Enabling pandemic‐resilient healthcare: Narrowband Internet of Things and edge intelligence for real‐time monitoring

CAAI Transactions on Intelligence Technology, EarlyView.
Abstract The Internet of Things (IoT) in deploying robotic sprayers for pandemic‐associated disinfection and monitoring has garnered significant attention in recent research. The authors introduce a novel architectural framework designed to interconnect smart monitoring robotic devices within healthcare facilities using narrowband Internet of Things ...
Md Motaharul Islam, Mohammad Kamrul Hasan, Shayla Islam, Mohammed Balfaqih, Ahmed Ibrahim Alzahrani, Nasser Alalwan, Nurhizam Safie, Zaheed Ahmed Bhuiyan, Rahul Thakkar, Taher M. Ghazal   +9 more
wiley   +1 more source

Predicting Dengue Outbreaks: A Dynamic Approach with Variable Length Markov Chains and Exogenous Factors

Variable Length Markov Chains with Exogenous Covariates (VLMCX) are stochastic models that use Generalized Linear Models to compute transition probabilities, taking into account both the state history and time-dependent exogenous covariates. The beta-context algorithm selects a relevant finite suffix (context) for predicting the next symbol.
Rocha, Marília Gabriela, Garcia, Nancy L.   +1 more
openaire   +2 more sources

A Temporally Disentangled Contrastive Diffusion Model for Spatiotemporal Imputation

CAAI Transactions on Intelligence Technology, EarlyView.
ABSTRACT The analysis of spatiotemporal data is essential across many fields, such as transportation, meteorology and healthcare. Data gathered in practical applications often suffer from incompleteness due to device failures and network disruptions.
Yakun Chen, Kaize Shi, Zhangkai Wu, Juan Chen, Xianzhi Wang, Julian McAuley, Guandong Xu, Shui Yu   +7 more
wiley   +1 more source

Multitype Game Optimisation: A Two‐Stage Fine‐Tuning Framework for Multi‑Game Optimisation With Large Language Models

CAAI Transactions on Intelligence Technology, EarlyView.
ABSTRACT Large language models (LLMs) have made remarkable advances in natural language processing, demonstrating great potential in modelling structured sequences. However, adapting these capabilities to machine gaming tasks such as Go remains challenging due to limitations in strategy generalisation and optimisation efficiency.
Xiali Li, Jingshi Gu, Feifan He, Yang Xiao, Yuanli Jia, Ping Lan   +5 more
wiley   +1 more source

Towards Generalisable and Explainable Traffic Signal Control via Deep Reinforcement Learning and Large Language Models

CAAI Transactions on Intelligence Technology, EarlyView.
ABSTRACT As a government‐regulated public service, traffic signal control (TSC) requires reliable and transparent decision‐making. However, existing deep reinforcement learning (DRL) methods, despite improvements in control accuracy, still lack explainability and generalisation, severely limiting their applicability in real‐world environments.
Hao Huang, Wenjie He, Qilie Liu, Qian Liu, Chao Huang, Anwar P. P. Abdul Majeed, Xiangguang Dai, Gang Fang, Xiaohua Xu   +8 more
wiley   +1 more source

Structure and composition of supported lipid bilayers: a comparison between solvent‐assisted lipid bilayer and vesicle fusion methods

Journal of Applied Crystallography, EarlyView.
Neutron reflectometry is used to compare supported lipid bilayers formed by vesicle fusion and solvent‐assisted lipid bilayer (SALB) methods, revealing structurally comparable architectures with minor differences in acyl chain thickness and low residual solvent incorporation.
Birgit Felderer, Claire Buchanan, Shuhong Wang, Hsin-Hui Shen, Andrew Nelson, Stephen C. L. Hall, Marité Cárdenas   +6 more
wiley   +1 more source

Twin‐compartment solid–liquid cells for neutron reflectometry

Journal of Applied Crystallography, EarlyView.
We introduce a twin‐compartment solid–liquid cell for neutron reflectometry that divides a single substrate into two independent measurement areas, doubling sample capacity and enabling direct side‐by‐side comparisons. This sample environment also reduces alignment and sample preparation time and has been successfully tested on both vertical and ...
Nicoló Paracini, Hannah Burrall, Thomas Saerbeck, Philipp Gutfreund, Giovanna Fragneto, Luke A. Clifton, Thomas Arnold, Marité Cárdenas   +7 more
wiley   +1 more source

New opportunities for grassland species in warming temperate winters

Functional Ecology, EarlyView.
Read the free Plain Language Summary for this article on the Journal blog. Abstract Temperate winters are getting warmer, the length of the growing season is increasing and mid‐winter fluctuations of warm and freezing temperatures are more frequent. Although typically winter dormant, some herbaceous perennials can maintain or grow green leaves during ...
F. Curtis Lubbe, Andrea Kučerová, Martin Bitomský, Jitka Klimešová   +3 more
wiley   +1 more source

The importance of considering regimes in long‐term asset allocation to real estate

Real Estate Economics, EarlyView.
Abstract We investigate the long‐term, regime‐dependent asset allocation of an investor's wealth in a mixed‐asset portfolio that includes publicly traded real estate. We show that augmenting standard VAR models with Markov‐switching features not only improves predictive power for asset returns but also introduces economically meaningful horizon effects
Massimo Guidolin, Mingwei (Max) Liang, Milena Petrova   +2 more
wiley   +1 more source

The effect of nearby listings on house sale prices in Sydney: A spatio‐temporal regularization approach

Real Estate Economics, EarlyView.
Abstract We estimate the price impact of very nearby concurrently listed properties in the Sydney housing market and assess their competition effects. We apply a hedonic model with spatiotemporal effects regularized via a graph Laplacian prior at the month‐by‐SA2 regional level to seven SA4 subregions of metropolitan Sydney. The model structure enables
Willem P. Sijp, Mengheng Li
wiley   +1 more source