ChatGPT-style AI gives itself away by increasing in consistency, while human writing remains erratic throughout. The limited context window of most consumer-facing Large Language Models (LLMs) is one ...
Abstract: Accurate probabilistic forecasting of distributed photovoltaic (DPV) ultra-short-term power is of great significance for the operation and scheduling of distribution networks. To address the ...
ABSTRACT: This study analyzes the spatiotemporal patterns and driving factors of forest fires in Liangshan Prefecture based on fire data from 2016 to 2024 using statistical methods. The results ...
Editor’s Note: This article is the first in a two-part series. For more than a century, wholesale distributors like you have been the linchpins of supply chains, seamlessly connecting manufacturers to ...
Enhanced Dual-Pattern Matching With Vision-Language Representation for Out-of-Distribution Detection
Abstract: Out-of-distribution (OOD) detection presents a significant challenge in deploying pattern recognition and machine learning models, as they frequently fail to generalize to data from unseen ...
Muscle spindles (MSs) are essential for proprioception and motor control. The precise distribution and localization of MSs have been the focus of major research efforts to provide a foundation for ...
Organic light-emitting diodes (OLEDs) have become a cornerstone in display and lighting technologies, driving the demand for efficient organic thermally activated delayed fluorescence (TADF) materials ...
Introduction: Betula tianschanica Rupr. is distributed in regions such as China, Kyrgyzstan, and Tajikistan. Owing to the impacts of climate change, it is increasingly threatened by habitat ...
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