This project aims to detect and classify 16x16 pixel drawings into 10 categories (Sun, Moon, Tree, etc.) using linear and probabilistic models. The main focus was not just to use high-level libraries, ...

Long before social media feeds or targeted ads, my mother used to say that life tends to show you the thing you're looking for. Or the thing you're afraid of. Or the thing you keep insisting you don't ...

Abstract: In recent years, car interior odor detection has become a research hotspot, the traditional odor detection method is based on manual detection, which cannot handle the large data volume, ...

Sen. Jacky Rosen (D-Nev.) has placed a hold on the nomination of Adm. Kevin Lunday to serve as head of the Coast Guard after the service backtracked on keeping swastikas and nooses labeled as hate ...

To address the issues of strong subjectivity and difficulty in feature extraction that are inherent to traditional frequency response analysis methods used for diagnosing transformer winding ...

PPC automation is now the standard in 2026. We’ve evolved from simple automated rules to Smart Bidding, scripts, budget pacing, and now AI-driven creative. The systems running our campaigns are, for ...

ABSTRACT: Support vector machines are recognized as a powerful tool for supervised analysis and classification in different fields, particularly geophysics. In summary, SVMs are binary classifiers.

Children as young as 4 years old are capable of finding efficient solutions to complex problems, such as independently inventing sorting algorithms developed by computer scientists. The scientists ...

ABSTRACT: Liver cancer is one of the most prevalent and lethal forms of cancer, making early detection crucial for effective treatment. This paper introduces a novel approach for automated liver tumor ...

In case you've faced some hurdles solving the clue, Not manually operated, we've got the answer for you. Crossword puzzles offer a fantastic opportunity to engage your mind, enjoy leisure time, and ...

Abstract: The sparsity-regularized linear inverse problem has been widely used in many fields, such as remote sensing imaging, image processing and analysis, seismic deconvolution, compressed sensing, ...