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We present a comparative analysis of eight managed commercial speech recognition providers (provider-side preprocessing, segmentation, and serving) for educational video transcription and enrichment,...
Parameter-Efficient Fine-Tuning (PEFT) is essential for adapting Large Language Models (LLMs) under resource constraints, yet existing methods often treat initialization and optimization as separate c...
The paper examines the limitations of the backpropagation error (BPE) method in neural network training, particularly its tendency to converge to suboptimal local minima. Traditional backpropagation-b...
Modern metaverse platforms, populated by heterogeneous multi-agent systems (MAS), generate vast streams of experiential data whose epistemic value remains largely untapped. This paper introduces the E...
Public spaces and commercial environments face persistent challenges regarding human misconduct. Traditional surveillance remains passive, while manual monitoring is labor-intensive and inefficient. C...