Results 161 to 170 of about 31,221,148 (284)
Sustainable Development, EarlyView.ABSTRACT As Gulf Cooperation Council (GCC) economies pursue simultaneous commitments to national AI strategies, renewable energy targets, and Paris Agreement pledges, a key sustainable‐management question remains empirically unresolved: does digital and AI investment genuinely advance energy security and environmental sustainability in hydrocarbon ...
Alanoud Al‐Maadid +2 more
wiley +1 more source
Federated Learning Framework for Brain Tumor Detection Using MRI Images in Non-IID Data Distributions. [PDF]
J Imaging Inform MedMuntaqim MDZ, Smrity TA.
europepmc +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
A Study of Enhancing Federated Learning on Non-IID Data with Server Learning. [PDF]
IEEE Trans Artif IntellMai VS, La RJ, Zhang T.
europepmc +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
Southern Economic Journal, EarlyView.ABSTRACT This paper examines the economic mechanisms underlying persistent price gaps between products marketed to women and men, which is often referred to as the “Pink Tax.” Using NielsenIQ scanner data on toothbrushes, we provide evidence of gendered price differentials and analyze two mechanisms central to the literature: gender‐based price ...
Rong Zhang, Yu Yvette Zhang
wiley +1 more source
Recent advances in machine learning have highlighted Federated Learning (FL) as a promising approach that enables multiple distributed users (so-called clients) to collectively train ML models without sharing their private data.
Kourtellis, Nicolas +6 more
core +1 more source
Alignment of Agile and Modular Open Systems Approach (MOSA) Principles in Systems Engineering
Systems Engineering, EarlyView.ABSTRACT Organizations have consistently sought faster and more efficient methods for producing and delivering products. Agile principles offer essential guidance for shaping their policies and practices. The Agile Manifesto (AM) outlines 12 core principles for guiding software development but can also be applied in other contexts.
Terry Plonsky, Daniel R. Herber
wiley +1 more source
MAPFL: Modular Adaptive Personalised Federated Learning From Visual Sentiment to Physical Activity
CAAI Transactions on Intelligence Technology, EarlyView.ABSTRACT Human‐centric sensing tasks such as visual sentiment analysis and smartphone‐based human activity recognition (HAR) exhibit strong client heterogeneity from feature, label, and concept shifts. Among these, concept shift—how individual users interpret and generate human‐centric signals—is particularly challenging yet underexplored in federated ...
Chang Liu +4 more
wiley +1 more source
CAAI Transactions on Intelligence Technology, EarlyView.ABSTRACT Severe data starvation, architectural heterogeneity and Byzantine vulnerabilities fundamentally impede the deployment of robust multiclass classification models in decentralised edge environments. To address these intertwined challenges, we propose fusion isomerism learning (FusionIL), a secure and domain‐agnostic framework that ...
Zhihao Hao +5 more
wiley +1 more source