Abstract: Textile pattern recognition was studied based on artificial intelligence (AI) for the automation of pattern recognition on textiles. Computer vision and deep learning techniques were used ...

Companies talk a lot about retention, engagement, and culture. Employee recognition impacts all three, yet it’s still one of the most underused tools in the workplace. When people know their work is ...

When multidisciplinary artist Katrin Schnabl talks about her work, the conversation doesn’t stay neatly in one category. It dances—from sculpture to fashion, from performance to philosophy. Her ...

Pattern recognition is a cornerstone of Artificial Intelligence (AI), shaping critical applications such as image analysis, speech processing, and automated decision-making. This study examines the ...

Meta Flow software pattern recognition, Meta Flow software portfolio management, Meta Flow software future projections, Meta Flow software AI integration, Meta Flow ...

State Environmental Protection Key Laboratory of Environmental Health Impact Assessment of Emerging Contaminants, School of Environmental Science and Engineering, Shanghai Jiao Tong University, 800 ...

Human-Centered Pattern Recognition is an interdisciplinary approach to designing and implementing pattern recognition systems that prioritize human needs, interpretability, and collaboration. Unlike ...

In recent years neural computing has emerged as a practical technology, with successful applications in many fields. The majority of these applications are concerned with problems in pattern ...

Department of Chemistry, University of Utah, 315 South 1400 East, Salt Lake City, Utah 84112, United States Department of Chemistry and Chemical Biology, Harvard University, 12 Oxford Street, ...

Abstract: Event pattern recognition technology has become an important research direction of distributed fiber optic vibration sensors. In this article, an event pattern recognition scheme based on ...