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In contrast, deep learning and advanced pre-trained models like Segment Anything Model (SAM ... Pixel-based methods such as K-means and Support Vector Machine (SVM) performed adequately in ...
Understanding how cities grow is vital for shaping sustainable urban futures—but mapping the true extent of urban expansion ...
While multiple machine learning (ML) algorithms offered similar predictive performance, the cost-effective analysis revealed ...
Stocks: Real-time U.S. stock quotes reflect trades reported through Nasdaq only; comprehensive quotes and volume reflect trading in all markets and are delayed at least 15 minutes. International ...
The CBD creams we’ve found to be most effective for pain tend to have other ingredients that create a cooling sensation for pain relief. It’s hard to say which ingredient is offering the bulk ...
This study presents a novel hybrid model that combines Artificial Neural Networks (ANN), Convolutional Neural Networks (CNN), and Support Vector Machines (SVM) to analyze and detect depression in ...
This research paper introduces an innovative study that centers on the creation and assessment of a novel deep learning (DL) model, which combines a Convolutional Neural Network (CNN) and Support ...
The predictive model also incorporates an improved fruit fly optimization algorithm (IFOA) in conjunction with support vector machine (SVM) techniques. The actual instances of lost circulation serve ...