Furthermore, one would want to train the model with very high resolution fundus images, in order for small lesions to be easier detected. However, the computational complexity as well as the vanishing/exploding
However, published algorithms mostly solve only one specific problem and they typically require a considerable coding effort and machine learning background for their application. Results We have thus developed InstantDL, a deep learning pipeline for four common image processing tasks: semantic ...
ReferencesMethods usedProblem highlightedAchievementLimitations Darwazeh et al. (2015) Data classification and security Increased data in cloud computing with less security The cloud model mitigates latency and processing time required to secure data using various security methods and different key sizes to...
This work examines the application of machine learning (ML) algorithms to evaluate dissolved gas analysis (DGA) data to quickly identify incipient faults in oil-immersed transformers (OITs). Transformers are pivotal equipment in the transmission and dist
add-ons (SMOTE = 0, ES = 0, DL = 0), the second model considers only the DL structure (SMOTE = 0, ES = 0, DL = 1), etc. The final output is the best performing OmniGA model for a given problem based on the performance observed on the validation ...
We apply the model to the problem of text classification onAG's News Topic Classification Dataset. Here our tags are news article categories, and we use the hits@1 metric to measure classification accuracy.This example scriptdownloads the data and run StarSpace model on it under the examples ...
For every building blocks, we include a test function in the each file below, and we've test each small piece successfully. Sequence to sequence with attention is a typical model to solve sequence generation problem, such as translate, dialogue system. most of time, it use RNN as buidling ...
Matched filters are efficient at detecting signals in Gaussian noise (white noise), but colored noise (typical in many natural environments) poses more of a problem. As with spectrogram cross-correlation, the selection of kernels is critical to the performance of the detector. Matched filters are...
In this paper, two very critical strategies with a CNN are used boldly and innovatively to solve this problem: (1) employing a unified energy scale, and (2) using scalar parameters instead of baseline parameters. The third challenge is that the computational complexity cannot be increased due ...
A challenging problem is to determine when a connection has terminated (and thus no longer requires the flow record). In TCP, FIN packets can indicate termination of a connection. However, they are not always used. In addition, some other protocols (e.g., UDP) do not provide any ...