Prediction markets are grabbing headlines, but the two biggest names in it, Polymarket and Kalshi, aren't publicly traded.
Abstract: With the development of the internet, telecom fraud methods are becoming increasingly common. To address the continued prevalence of telecom and bank card fraud, which causes financial ...
Abstract: The inherent volatility of the stock market has challenged investors in seeking reliable predictive models. This paper presents a hybrid deep learning model that combines bidirectional long ...
Abstract: The present study proposes a novel intelligent temperature prediction method to address low temperature control accuracy and high energy consumption caused by the complex production process ...
Abstract: The “Traffic Route Prediction” project provides an operational system which selects the best alternative routes basing on current traffic condition data. With real-time congestion data as ...
Abstract: In the context of low-carbon energy transition, the intermittent nature of photovoltaic power generation poses significant challenges to grid security and economic operations.
Abstract: Current camera-based hand tracking is limited by occlusion and environmental factors, hindering practical applications in robotics and digital interaction. Although electromyography-based ...
Abstract: Stroke detection from medical imaging, which is essential for early diagnosis and prompt intervention, greatly impacts patient outcomes. In this study, provide a technique that uses ...
CNN drives toward Tehran as security tightens and daily life appears calm ...
Abstract: Magnetic resonance imaging (MRI) is an important tool for brain cancer diagnosis and classification. Combined with modern convolutional neural network (CNN) technology, it can effectively ...
Add Yahoo as a preferred source to see more of our stories on Google. President Trump urges college sports leaders to return to pre-NIL era: 'I'd like to go exactly back to what we had and ram it ...
Abstract: Accurately predicting scattered acoustic fields is crucial in nondestructive testing. The analytical methods achieve high computational accuracy, but are only applicable to problems with ...
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