Results 191 to 200 of about 7,049,980 (289)
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
Network Latency Estimation for Telesurgery Using Deep Reinforcement Learning
SmartBot, EarlyView.Overview of the proposed two‐stage deep reinforcement learning framework for network latency prediction in telesurgery. The pipeline includes data collection from simulated catheter navigation sessions (Philippines–Botswana), feature engineering, DQN‐based direction prediction (85.8% accuracy), direction‐to‐value transformation, and value forecasting ...
Bakang Kgopolo +2 more
wiley +1 more source
Better on Average? Average Inflation Targeting With an Unclear Averaging Window
Southern Economic Journal, EarlyView.ABSTRACT Average inflation targeting (AIT) aims to stabilize inflation expectations by offsetting past deviations from target. However, ambiguity about the averaging window can complicate expectations formation and reduce policy effectiveness. This paper integrates AIT into a benchmark DSGE model, incorporating adaptive learning and a signal extraction
James Dean
wiley +1 more source
A Quantised Push‐Sum Distributed Adaptive Momentum Algorithm for Optimisation Over Directed Networks
CAAI Transactions on Intelligence Technology, EarlyView.ABSTRACT In this paper, we investigate a distributed constrained optimisation problem over directed networks. The agents in the networks conduct local computations and communications, endeavouring to collaboratively minimise the aggregation of all locally known convex cost functions subject to a global constraint set.
Qingguo Lü +6 more
wiley +1 more source
Understanding mammal avoidance of human settlements
Journal of Animal Ecology, EarlyView.Terrestrial mammals often avoid human settlements, but is this a result of human activity around buildings or the built infrastructure per se? Using data on animal movement before and during the COVID‐19 lockdowns, this paper disentangles these effects, showing how changes in human mobility affect animals' avoidance of buildings. Abstract Anthropogenic
Jonathan R. Potts +75 more
wiley +1 more source
Adaptive Multi-Model Hierarchical Federated Learning for Robust IoT Intrusion Detection. [PDF]
Sensors (Basel)Latif S, Djenouri D.
europepmc +1 more source
Australian Economic Papers, EarlyView.ABSTRACT This study examines volatility interconnectedness among selected agricultural commodities and precious/industrial metals, together with oil price uncertainty and global supply chain pressure, over the period January 1998 to June 2024 using a Quantile‐on‐Quantile connectedness framework.
Muhammed Benli, Halil Altıntaş
wiley +1 more source
Beyond Inflation: The Adequacy of Out‐of‐Home Care Allowances in Australia
Australian Economic Review, EarlyView.ABSTRACT Research Question This study examines whether home‐based (foster, kinship or relative) out‐of‐home care (OOHC) allowances in New South Wales, Australia, adequately reflect the contemporary costs of caring for children. Research Findings We find that real median expenditure among families with children increased by 23%–30% between 2006 and 2022,
Ou Yang +4 more
wiley +1 more source
Federated Learning Based on Fuzzy Fusion Rules for Chemical Production Process Fault Diagnosis. [PDF]
Sensors (Basel)Xu Y, Yang W, Du S, Zhang M.
europepmc +1 more source