This paper reviews the state of the art in off-line Roman cursive handwriting recognition. The
input provided to an off-line handwriting recognition system is an image of a digit, a word, or …

Since the present era is entirely computer and Internet of Things (IoT) oriented, enormous
amounts of data are produced quickly from many sources. Machine learning's primary …

We present a new weighted voting classification ensemble method, called WAVE, that uses
two weight vectors: a weight vector of classifiers and a weight vector of instances. The …

Many fault detection and identification methods have been developed in recent years; each
method works under its own assumption, which means a method that works well under one …

Phishing is one of the most widely-perpetrated forms of cyber attack, used to gather sensitive
information such as credit card numbers, bank account numbers, and user logins and …

In this article, we propose a novel probabilistic framework to improve the accuracy of a
weighted majority voting algorithm. In order to assign higher weights to the classifiers which …

The work presented here mainly involves recognition of handwritten Bangla characters
using a soft computing paradigm embedded within the framework of previously developed …

In this paper, we propose a unified framework that enables decisions fusion for applications
dealing with multiple heterogeneous Fault Detection and Diagnosis (FDD) methods. This …

Numerous methodologies for fault detection and identification (FDI) in chemical processes
have been proposed in literature. However, it is extremely difficult to design a perfect FDI …

Internet-based services have seen remarkable success, generating vast amounts of
monitored key performance indicators (KPIs) as univariate or multivariate time series …