Abstract: Multi-label learning (MLL) is a supervised learning where the classifier needs to learn from the data where one instance can belong to more than one class (label). Due to its wide ...
Abstract: Dress code violations in educational institutions present ongoing challenges for administrators striving to maintain a balance between enforcing standards and fostering a sense of ...
A new publication DOI 10.29026/oet.2025.250010 discusses how a photonic vibration perception system achieves stable ...
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