In this paper, the performance of the commonly used neural-network-based classifiers is
investigated on solving a classification problem which aims to identify the object nature …

This paper presents a novel neural network having variable weights, which is able to
improve its learning and generalisation capabilities, to deal with classification problems. The …

Purpose–Credit risk assessment has gained importance in recent years due to global
financial crisis and credit crunch. Financial institutions therefore seek the support of credit …

To ensure the crucial integrity and confidentiality of patients' information, this paper
proposes a novel support vector machine (SVM) cum spread spectrum (SS) watermarking …

Computer security in which hiding the required information is done by inserting messages
within other messages, which is a string of characters containing the useful information, in a …

Since antiquity, steganography has existed in protecting sensitive information against
unauthorized unveiling attempts. Nevertheless, digital media's evolution, reveals that …

Image steganography offers many techniques to hide secret data from an eavesdropper. We
use fuzzy logic and image processing techniques to develop a robust and highly …

The steganography is a covert communication to transfer confidential information over an
internet. In this paper we propose Embedding Information in Discrete Cosine Transform …

The technique of concealing information within photos, videos, music etc. is called image
steganography. Steganography excels in that it does not disclose the presence of any data …

This paper presents a novel Lossless Secure data embedding algorithm in which the vital
information can be embedded into the cover image while preserving the quality of cover …