Deep learning uses multi-layered neural networks that learn from data through predictions, error correction and parameter ...
Building an AI-Integrated Braille Recognition Model for Blind Education: From Mechanical Devices to Personalized Learning ...
Abstract: Land cover (LC) mapping using satellite imagery is critical for environmental monitoring and management. Deep learning (DL), particularly convolutional neural networks (CNNs) and vision ...
Introduction: The Great Mathematical Divorce There is a silent tragedy unfolding in our mathematics classrooms across Ghana .
Abstract: Flying Ad-Hoc Networks (FANETs), commonly referred to as drones or Unmanned Aerial Vehicles (UAVs), are increasingly transforming various industries by supporting numerous applications. In ...
Machine learning and AI are now entering the field of textile technology and at this year’s ITMA Asia + CITME exhibition from October 28-31 in Singapore, UK-based Shelton Vision will demonstrate how ...
To address the issues of missed detection and false detection during the defect inspection process of the PCB, an improved YOLOv7-based algorithm for PCB defect detection is proposed. Firstly, the ...
SHENZHEN, China, June 10, 2025 (GLOBE NEWSWIRE) -- MicroCloud Hologram Inc. (NASDAQ: HOLO), (“HOLO” or the "Company"), a technology service provider, announced the development of a noise-resistant ...
This study proposes an automated tongue analysis system that combines deep learning with traditional Chinese medicine to enhance the accuracy and objectivity of tongue diagnosis. The system includes a ...
The application of deep learning algorithms in protein structure prediction has greatly influenced drug discovery and development. Accurate protein structures are crucial for understanding biological ...
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