Semantic Scholar

semantic_scholar · Papers · License: Open Access

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2026-09-01Last indexed

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A qualitative evaluation of an Australian public health nutrition workforce development intervention involving mentoring circles#419792
Optimal distributed generation placement in distribution system to improve reliability and critical loads pick up after natural disasters#419791
A survey on reliability in distributed systems#419790
Data Management Plan (DMP) for Language Data under the New General Da-ta Protection Regulation (GDPR)#419789
Ensuring General Data Protection Regulation Compliance and Security in a Clinical Data Warehouse From a University Hospital: Implementation Study#419788
Climate Change, Financial Stability and Monetary Policy#419787
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Advancing Privacy-Preserving Health Care Analytics and Implementation of the Personal Health Train: Federated Deep Learning Study#419785
Privacy-Preserving Breast Cancer Classification: A Federated Transfer Learning Approach#417059
Fragmenting Consumer Law Through Data Protection and Digital Market Regulations: The DMA, the DSA, the GDPR, and EU Consumer Law#413811
Large language models generate functional protein sequences across diverse families#413810
PROSPECTS FOR THE IMPLEMENTATION OF THE GENERAL DATA PROTECTION REGULATION (GDPR) REQUIREMENTS INTO THE LEGISLATION OF KAZAKHSTAN#407436
Neural Network Optimization for Resource-Constrained IoT Devices#382978
A Systematic Review on Hybrid AI Models Integrating Machine Learning and Federated Learning#382977
Effect of border policy on exposure and vulnerability to climate change#381564
Connecting Large Language Models with Evolutionary Algorithms Yields Powerful Prompt Optimizers#381563
HIT-COVID, a global database tracking public health interventions to COVID-19#381562
Prospective evaluation of a complex public health intervention: lessons from an initial and follow-up cross-sectional survey of the tuberculosis strain typing service in England#381561
Federated Learning for Cybersecurity: A Privacy-Preserving Approach#379696
Image‐based crop disease detection using machine learning#379695

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