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Introduction to the Issue on Artificial Intelligence in the Public Sector
Introduction to the Issue on Artificial Intelligence in the Public Sector: Risks and Benefits of AI for Governments
Keeping your best options open with AI-based treatment planning in prostate and cervix brachytherapy
Keeping your best options open with AI-based treatment planning in prostate and cervix brachytherapy
Can ChatGPT be used to predict citation counts, readership, and social media interaction? An exploration among 2222 scientific abstracts
Can ChatGPT be used to predict citation counts, readership, and social media interaction? An exploration among 2222 scientific abstracts
How do system and user characteristics, along with anthropomorphism, impact cognitive absorption of chatbots – Introducing SUCCAST through a mixed methods study
How do system and user characteristics, along with anthropomorphism, impact cognitive absorption of chatbots – Introducing SUCCAST through a mixed methods study
Toward Sociotechnical AI
Toward Sociotechnical AI: Mapping Vulnerabilities for Machine Learning in Context
QuantImage v2
QuantImage v2: a comprehensive and integrated physician-centered cloud platform for radiomics and machine learning research
A Survey on Approximate Edge AI for Energy Efficient Autonomous Driving Services
A Survey on Approximate Edge AI for Energy Efficient Autonomous Driving Services
Comprehensive Study on Transformer Fault Detection via Frequency Response Analysis
Comprehensive Study on Transformer Fault Detection via Frequency Response Analysis
The risks of using ChatGPT to obtain common safety-related information and advice
The risks of using ChatGPT to obtain common safety-related information and advice
Ethics of socially disruptive technologies
Ethics of socially disruptive technologies: An introduction
Deep learning for detecting macroplastic litter in water bodies
Deep learning for detecting macroplastic litter in water bodies: A review
Grasping AI
Grasping AI: experiential exercises for designers
Data-efficient machine learning methods in the ME-TIME study
Data-efficient machine learning methods in the ME-TIME study: Rationale and design of a longitudinal study to detect atrial fibrillation and heart failure from wearables
Capturing public voices
Capturing public voices: The role of social media in heritage management
SFILES 2.0
SFILES 2.0: an extended text-based flowsheet representation
Causal scientific explanations from machine learning
Causal scientific explanations from machine learning
Artificial intelligence application to the nexus of renewable energy, water, and the environment
Artificial intelligence application to the nexus of renewable energy, water, and the environment
A Cognitive Assistant for Operators: AI-Powered Knowledge Sharing on Complex Systems
A Cognitive Assistant for Operators: AI-Powered Knowledge Sharing on Complex Systems
A review
A review: Challenges and opportunities for artificial intelligence and robotics in the offshore wind sector
Using Artificial Intelligence to extract information on pathogen characteristics from scientific publications
Using Artificial Intelligence to extract information on pathogen characteristics from scientific publications
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