Abstract: The integration of ArcGIS with Deep Learning models demonstrates a significant advancement in coastal flood prediction and prevention, offering enhanced accuracy and detail in flood risk ...

Drone images have allowed researchers to explore new questions due to their incredible spatial resolution. Ironically however, the level of detail renders traditional image analysis methods largely ...

The ongoing revolution in deep learning is reshaping research across many fields, including economics. Its effects are especially clear in solving dynamic economic models. These models often lack ...

The rapid advancement of artificial intelligence (AI) in medical image analysis, particularly deep learning (DL) algorithms, has provided novel solutions for automated TN detection. However, existing ...

This Collection calls for submissions of original research into techniques that facilitate the advancement of deep learning for image analysis and object detection, driving computer vision forward and ...

We are excited to share our first big milestone in solving a grand challenge that has hampered the predictive power of computational chemistry, biochemistry, and materials science for decades. By ...

Has anyone else upgraded to ArcGIS Pro 3.5 and run into the following issue when testing the deep learning tools package for 3.5? I had no issues using the deep learning package versions of the tools ...

Enhancing heat transfer in turbulent flows is vital for energy systems and industrial processes, yet conventional methods yield limited gains. We demonstrate how artificial intelligence autonomously ...

Deep learning (DL), a subfield of artificial intelligence (AI), involves the development of algorithms and models that simulate the problem-solving capabilities of the human mind. Sophisticated AI ...

Deep learning is progressively emerging as a vital tool for image reconstruction in light field microscopy. The present review provides a comprehensive examination of the latest advancements in light ...