ESP32-CAM currency recognition utilising Machine Learning to Identify & Classify Indian Rupee Notes in Real-Time embraces the ...
Abstract: Deep learning methods have shown promising results in various hyperspectral image (HSI) analysis tasks. Despite these advancements, existing models still struggle to accurately identify fine ...
Machine learning is transforming many scientific fields, including computational materials science. For about two decades, scientists have been using it to make accurate yet inexpensive calculations ...
Today, the plastics industry stands at the threshold of a technological revolution, with artificial intelligence and machine learning poised to transform everything from material development to ...
Develop an AI-based image classification system using CNN and transfer learning. The project includes data preprocessing, model training, fine-tuning, evaluation with precision, recall, and F1-score, ...
├── 📁 govt_data/ # Extracted data directory │ ├── 📄 complete_breeds_data.json │ ├── 📄 extraction_summary.json │ ├── 📄 master_breeds_dataset.csv │ ├── 📄 scraper.log │ ├── 📁 breed_data ...
1 Information Statistics Center, Hubei Cancer Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China 2 School of Computer Science and Technology, Hubei Business ...
Abstract: This paper presents an image-based framework for classifying fluid flow regimes into low and high-speed states by utilizing spatially localized texture features combined with machine ...
What if the skills you choose to learn today could determine your career trajectory in 2025? The field of machine learning is evolving at a breakneck pace, and with it comes a growing demand for ...
Some results have been hidden because they may be inaccessible to you
Show inaccessible results
Feedback