Company Filing History:
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Years Active: 2021-2024
Title: Innovations of Dogancan Temel
Introduction
Dogancan Temel is an accomplished inventor based in Atlanta, GA. He has made significant contributions to the field of medical applications through his innovative patents. With a total of 3 patents, Temel's work focuses on enhancing the capabilities of neural networks in medical imaging and active learning techniques.
Latest Patents
One of Temel's latest patents is titled "Transfer learning for medical applications using limited data." This method involves generating a neural network that detects features of medical significance from body image data inputs. The process includes dividing test data images into patches, labeling them, and retraining a pretrained convolutional neural network to create a feature-specific model.
Another notable patent is "Variance of gradient based active learning framework for training perception algorithms." This patent explores how neural networks can utilize the variance of gradients to improve training efficiency. The technique involves annotating datasets, calculating loss values, and updating the neural network through backpropagation, ultimately enhancing the model's performance.
Career Highlights
Throughout his career, Dogancan Temel has worked with reputable organizations such as Georgia Tech Research Corporation and Ford Global Technologies, LLC. His experience in these companies has allowed him to refine his skills and contribute to groundbreaking research in the field of artificial intelligence and machine learning.
Collaborations
Temel has collaborated with various professionals in his field, including his coworker Melvin Julian Mathew. These collaborations have fostered an environment of innovation and have led to the development of impactful technologies.
Conclusion
Dogancan Temel's contributions to the field of medical applications and neural networks demonstrate his commitment to advancing technology. His innovative patents and career achievements highlight his role as a significant inventor in the industry.