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In industry, the detection of anomalies such as scratches, dents, and discolorations is crucial to ensure product quality and ...
Complex Environment,Convolutional Neural Network,Data-driven Models,Dataset Characteristics,Deep Learning ... Detection Methods,Object Detection Model,Object Detection Task,Priority Ranking,Science ...
Based on the deep learning method, the convolutional neural ... 2.3.2. Power Characteristic Since the sampling signal of binary voltage-current trajectory image is high-frequency voltage and current ...
An international team of researchers has developed BiaPy, an open-code artificial intelligence platform that facilitates the ...
A research team at Tohoku University's Advanced Institute for Materials Research (WPI-AIMR) has developed a new technique to ...
A new “periodic table for machine learning,” is reshaping how researchers explore AI, unlocking fresh pathways for discovery.
Artificial intelligence models, pretrained on vast datasets, significantly outperformed a standard baseline model in ...
Purdue engineers are developing CT-Bound and MetaHDR, imaging technologies with applications as broad as medical imaging, ...
Since generative AI began to garner public interest, the computer vision research field has deepened its interest in ...
16, 2025 — The synchronization of data from two natural climate archives ... Jan. 10, 2025 — A new study based on the sampling and analysis of volcanic ash at Cumbre Vieja volcano in ...
In PACT, a short laser pulse irradiates the object ... errors on image quality, and very large computational burdens. In this talk, we describe the development and application of advanced optimization ...
AWS Deep Learning Containers (DLCs) are a set of Docker images for training and serving models in TensorFlow, TensorFlow 2, PyTorch, and MXNet. Deep Learning Containers provide optimized environments ...