This study proposes the MLP type ANN method with influence of Cross-Validation evaluation using three K-Fold tests, namely 3, 5, and 8. The data used are that relate to COVID-19 cases issued from Bandung Public Health Office, climate report Meteorological, Climatological, Geophysical Agency (BMKG), population Population citizen’s educational history Education Office West Java Open Data website....

abstract the aim of this study was to selecting the suitable model for forecast land, production and price of sugar beet in iran. for this purpose, models applied to forecast are arima, single and double exponential smoothing, harmonic, artificial neural network and arch for period 1993-2008. results of durbin-watson tests, land, production and price of sugar beet series were found non stochast...

there are a variety of electrocardiogram (ecg) based methods to detect myocardial infarction (mi) patients. this study used the signal averaged electrocardiogram (saecg) and its wavelet coefficient as an index to detect mi. orthogonal leads signals from 50 acute myocardial infarction (ami) and 50 healthy subjects were selected from the national metrology institute of germany (ptb diagnostic dat...

The paper introduces an exclusion/inclusion fuzzy classification neural network. The network is based on our GFMM [3] and it allows for two distinct types of hyperboxes to be created: inclusion hyperboxes that correspond directly to those considered in GFMM, and exclusion hyperboxes that represent contentious areas of the pattern space. The subtraction of the exclusion hyperboxes from the inclu...

As more and more vital services today (e.g. email, Facebook, quantitative trading) depend on machine learning algorithms, there is a greater incentive than ever for adversaries to manipulate these algorithms for malicious ends (e.g. spam, identity theft, cyberattacks). The field of adversarial learning has arisen out of a need to design learning algorithms that are robust to these sort of disru...

We consider a network security classification game in which a strategic defender decides whether an attacker is a strategic spy or a naive spammer based on an observed sequence of attacks on fileor mail-servers. The spammer’s goal is attacking the mail-server, while the spy’s goal is attacking the file-server as much as possible before detection. The defender observes for a length of time that ...

This paper introduces a new approach of fingerprint classification system based on ANN. Most automated fingerprint identification system uses prior classification of fingerprint using minutiae as feature. But in such methods the performance of minutiae extractions relies heavily on an enhancement algorithm and also it needs improvement as they are limited to the number of classable data. Thus m...