This paper presents the design of a convolutional neural network architecture oriented to detection food waste, generate low, medium, or critical-level alarm. An based on four convolution layers is used, for which database 100 samples prepared. The used with different hyperparameters that make up final architecture, after training process. By means confusion matrix analysis, 100% performance ob...

Abstract With the advent of Internet, activities individuals and businesses have expanded into online realm. As a result, vulnerabilities that result in actual breaches can lead to data loss program failure. The number is increasing every year, as vulnerabilities. To address this problem, current research focuses on detection using static analysis techniques. prevent propagation vulnerabilities...