Deep learning has transformed remote sensing, driving state-of-the-art results in land use and land cover classification, ...
Abstract: Deep learning has achieved great successes in conventional computer vision tasks. In this paper, we exploit deep learning techniques to address the hyperspectral image classification problem ...
Abstract: Welding defect detection based on radiographic images plays a vital role in industrial nondestructive testing. It provides an effective guarantee with respect to welding quality in ...
Researchers have developed a new "emotionally aware" AI-based model for classifying mental health conditions, which could ...
Handheld imaging device combines advanced optics with deep learning to enable early detection of epithelial cancers ...
Synthetic data is a vital substitute for real sensitive personal data in supporting social science research and policy ...
Precision neurostimulation leverages AI and closed-loop feedback, delivering tailored treatments for neurological disorders ...
Aerospace and Mechanical Insider on MSN
High-speed vision transformers advance metal 3D printing
At Carnegie Mellon University’s Next Manufacturing Center, researchers have developed an off-axial imaging system to capture ...
MSCI released the results of the MSCI 2026 Market Classification Review. Key takeaways from this year's review include: ...
Analyst/Investor Day June 25, 2026 9:00 AM EDTCompany ParticipantsRyan GhazaeriSachin Lawande - President, CEO & ...
Aim To implement a deep learning-based segmentation algorithm to quantify reticular pseudodrusen (RPD) and drusen volumes on optical coherence tomography (OCT) and investigate their association with ...
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