Results 131 to 140 of about 83,974 (281)
A meta-learning approach to improving transferability for freeway traffic crash risk prediction
Digital Transportation and SafetyCrash risk prediction plays a vital role in preventing freeway traffic accidents. Due to the limited availability of crash data in some freeway sections, model transferability of crash risk prediction has become an essential topic in traffic safety ...
Chenlei Liao, Xiqun (Michael) Chen
doaj +1 more source
Model-Agnostic Meta-Learning for Fast Adaptation of Deep Networks
, 2017 We propose an algorithm for meta-learning that is model-agnostic, in the sense that it is compatible with any model trained with gradient descent and applicable to a variety of different learning problems, including classification, regression, and reinforcement learning. The goal of meta-learning is to train a model on a variety of learning tasks, such
Finn, Chelsea +2 more
openaire +2 more sources
Sustainable Development, EarlyView.ABSTRACT This study examines how celebrity endorsements drive sustainable consumption by shaping purchase intentions for green moisturizers in China, integrating the Theory of Planned Behavior (TPB) and Source Credibility Theory (SCT). Surveying 700 consumers and applying partial least squares structural equation modeling (PLS‐SEM), we find celebrity ...
Muni Ni‐Ying +4 more
wiley +1 more source
A robust adaptive meta-sample generation method for few-shot time series prediction
Complex & Intelligent SystemsThe research and exploration of time series prediction (TSP) have attracted much attention recently. Researchers can achieve effective TSP based on the deep learning model and a large amount of data.
Chao Zhang +6 more
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Epistemological Implications of a System—Theoretical Understanding for Sustainability Models
Systems Research and Behavioral Science, EarlyView.ABSTRACT In the sense of the Sustainable Development Goals (SDGs), global efforts to create a sustainable society will not be sufficiently successful under the current geopolitical and socio‐economic trends. For this reason, recent sustainability research has increasingly focused on systemic coherence, the subject of cognition, and psychological and ...
Stefan Stumm
wiley +1 more source
An LLM based learning framework for adaptive feedback mechanisms in gamified XR
Computers & Education: X RealityRapid technological advancements present challenges in computer science education, as traditional instructional approaches often fail to maintain learner engagement or adapt effectively to diverse learning needs.
Anna Maria Gianni +2 more
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Embedded Interactions and Selective Disclosure: Network Effects on Conversations aboard Skylab
Symbolic Interaction, EarlyView.How do absent others influence our interactions? We argue in this paper that interactions are embedded within networks formed by chains of specific relationships between known third parties. The anticipation of future interactions with external others conditions our interpretation of the current situation and affects our behavior in the interaction. We
Michael Schultz +2 more
wiley +1 more source
BioengineeringAccording to recent global public health studies, chronic kidney disease (CKD) is becoming more and more recognized as a serious health risk as many people are suffering from this disease.
Nermeen Gamal Rezk +3 more
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A Systems Engineering Methodology for System of Autonomous Systems: Architecture and Integration
Systems Engineering, EarlyView.ABSTRACT Artificial intelligence and machine learning (AI/ML) rapidly transform systems by providing autonomous capabilities. This new class of systems can become a constituent system in a system of systems (SoS) to evolve it into a system of autonomous systems (SoAS).
Mohammadreza Torkjazi, Ali K. Raz
wiley +1 more source
IEEE AccessUnder-resourced automatic speech recognition (ASR) has become an active field of research and has experienced significant progress during the past decade.
I-Ting Hsieh +2 more
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