This research proposes a Convolutional Neural Network (CNN) architecture-based decision-level fusion model to predict skin cancer from dermoscopic images with improved accuracy. In so doing, the ...

According to the multi-objective approach, the paper builds component objective functions based on accuracy, precision and recall measures ... Each configuration of the CNN will be represented as a ...

The CNN and SVM algorithms are utilized to test these samples for higher accuracy in MRI scans with an 80 percent pretest power. Results: After the performance analysis of the CNN algorithm for brain ...

CNN polling guru Harry Enten marveled at how much more the American public approves of President Trump's approach to the conflict in Ukraine versus the approach of his predecessor.

There are two major categories of object detection models which differs in architecture, time needed, dataset needed and accuracy. 1) Two stage Models- Fast R-CNN, Faster R-CNN, Mask R-CNN and 2) one ...

Abstract: Simultaneous Localization and Mapping (SLAM) is a fundamental problem in mobile robotics. However, the majority of Visual SLAM algorithms assume a static scenario, limiting their ...

The existing AVC technology entails high costs and often faces technical challenges, necessitating a solution that enhances efficiency in terms of operational costs, accuracy, and system maintenance.

The Department of Homeland Security is reviewing a reality TV pitch where immigrants would compete for American citizenship, according to a spokesperson who said in a statement to CNN that “the ...

The micro-precision found that the model achieved an accuracy of $92.69 \%$ in every scenario. Moreover, CNN for feature extraction and SVM for classification created an outstanding prospect that ...

Abstract: Accurate pest identification is crucial for ensuring both high quality and high yield in rice production. This paper proposes RicePest-YOLO, a practical and generalizable model designed for ...