An image-based technique for measuring droplet size distribution: the use of CNN algorithm[J]. Journal of Dispersion Science & Tech- nology, 2015(10): 1444-1452.An image-based technique for measuring droplet size distribution:the use of CNN algorithm. Farzi G A,Nejad A P. Journal of ...
In this section, we broadly define some concepts used as categories in the proposed classification of CNNs use in XR technologies, considering interaction. One of the concepts used is the Brain-Computer Interface (BCI), a system that allows direct communication and control between the human brain...
It's possible that during those years, researchers were more focused on other aspects of CNNs and XR technolo- gies, such as algorithm optimisation and the development of specific applications, rather than exploring the intersec- tion of both technologies. As CNNs and XR technologies evolved and...
CNNs tend to work on relatively low-resolution images. The state-of-the-art GoogLeNet network [7], for example, works on input images that are 224x224 pixels. To generate higher-resolution images, Inceptionism "appl[ies] the algorithm iteratively on its own outputs and appl[ies] some zoomi...
5. Image sequence segmentation using multiple features and edge fusion: Its algorithm and VLSI architecture. [D] . Kim, Jinsang. 2000 机译:使用多种功能和边缘融合的图像序列分割:其算法和VLSI架构。 6. Estimation of Leaf Nitrogen Content in Wheat Based on Fusion of Spectral Features and Deep...
The main goal is to determine the best algorithm for breast cancer diagnosis. The results revealed that the support vector machine outperformed the other classifiers and achieved the highest accuracy of 97.2%. Research conducted with the Scikit learning library in the Anaconda Python environment ...
Derivation and validation of a simple exercise-based algorithm for prediction of genetic testing in relatives of LQTS probands. Circulation. 2011;124(20):2187-2194. doi:10.1161/CIRCULATIONAHA.111.028258 PubMedGoogle ScholarCrossref 4. Ackerman MJ, Khositseth A, Tester DJ, ...
following sections discuss the inspiration by jellyfish behavior and mathematical formulations of population initialization, the movement of jellyfish in an ocean current and in a swarm, time control mechanism, and the boundary conditions. The advantages and limitations of the algorithm will also be ...
and ease of use. These traits together have made YOLO undoubtedly one of the most famous DL models outside of the data science community at large due to this useful combination. Having undergone multiple development iterations,YOLOv7is the latest version of the popular algorithm and has improved...
Then, they put it to the test. They had the algorithm make individual predictions on whether or not someone lived past 2016. The results were impressive: the algorithm was correct 78% of the time. Life2vec also outperformed other state-of-the-art models and baselines by at least 11% by...