Since 2021, Korean researchers have been providing a simple software development framework to users with relatively limited ...
A new study presents a zero-shot learning (ZSL) framework for maize cob phenotyping, enabling the extraction of geometric ...
Reverse Logistics, Artificial Intelligence, Circular Economy, Supply Chain Management, Sustainability, Machine Learning Share and Cite: Waditwar, P. (2026) De-Risking Returns: How AI Can Reinvent Big ...
Based Detection, Linguistic Biomarkers, Machine Learning, Explainable AI, Cognitive Decline Monitoring Share and Cite: de Filippis, R. and Al Foysal, A. (2025) Early Alzheimer’s Disease Detection from ...
Abstract: Feature extraction and selection in the presence of nonlinear dependencies among the data is a fundamental challenge in unsupervised learning. We propose using a Gram-Schmidt (GS) type ...
Abstract: Bharatanatyam is an extremely narrative traditional dance of Tamil Nadu, India. The narratives are expressed by the dancer mainly through hand gestures called Mudras. Each of these mudras ...
We present a way to combine techniques from the program synthesis and machine learning communities to extract structured information from heterogeneous data. Such problems arise in several situations ...
Casting directors of some of this season’s buzziest films chronicle how enlisting professionals lent credibility to the contenders. By Max Gao For the first time in the ceremony’s 98-year history, ...
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