Breast cancer is the second leading cause of death for women, so accurate early detection
can help decrease breast cancer mortality rates. Computer-aided detection allows …

Cancer is an incurable disease based on unregulated cell division. Breast cancer is the
most prevalent cancer in women worldwide, and early detection can lower death rates …

Support vector machine (SVM) is one of the well-known learning algorithms for classification
and regression problems. SVM parameters such as kernel parameters and penalty …

Abstract Support Vector Machine (SVM) parameters such as kernel parameter and penalty
parameter (C) have a great impact on the complexity and accuracy of predicting model. In …

Abstract Support Vector Machine (SVM) is one of the well-known classifiers. SVM
parameters such as kernel parameters and penalty parameter (C) significantly influence the …

Today, machine learning and deep learning have paved the way for vital and critical
applications such as abnormal detection. Despite the modernity of transfer learning, it has …

Iris Biometrics: From Segmentation to Template Security provides critical analysis,
challenges and solutions on recent iris biometric research topics, including image …

Accurate and rapid disease detection is necessary to manage health problems early. Rapid
increases in data amount and dimensionality caused challenges in many disciplines, with …

This paper presents a combined DWT and LSB based biometric watermarking algorithm that
securely embeds a face template in a fingerprint image. The proposed algorithm is robust to …

This paper presents a novel digital watermarking technique using face and demographic
text data as multiple watermarks for verifying the chain of custody and protecting the integrity …