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 “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: Huntington’s disease progression prediction requires analyzing complex interactions between Cytosine, Adenine, Guanine (CAG) repeat expansions and various modifying factors. We present ...
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. Winter Olympics 2026: Alysa Liu has 'no plans to leave' figure skating, but will she target 2030 Olympics in France?
The Defense Department has been aggressively pursuing laser weapons and defense systems, a push that gained significant attention this week when the use of an anti-drone laser system led to the ...
The Hudson River Tunnel Project, known as Gateway, tunnel construction would run under the Hudson River between New York City and New Jersey. Workers spent time preparing for a pause of unknown ...
Abstract: Globally, cervical cancer stands as the fourth leading cancer diagnosis in women, yet it is still largely preventable and treatable through early detection and effective screening, as ...
Abstract: This paper proposes a short-term wind power prediction model based on a hybrid approach that combines Convolutional Neural Networks (CNN), Spike Long Short-Term Memory (SpikeLSTM), and ...
(CNN) — A federal judge in New York ruled Friday that the Trump administration must unfreeze more than $16 billion earmarked for a major New York infrastructure project and allow construction to ...
Abstract: This study investigates the use of machine learning to predict budget compliance in public construction projects using Portuguese procurement data. Building on prior work, we reproduce and ...
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