Embedded systems technology is undergoing a phase of transformation owing to the novel
advancements in computer architecture and the breakthroughs in machine learning …

Support vector machine (SVM) is a robust machine learning model with high classification
accuracy. SVM is widely utilized for online classification in various real-time embedded …

Advances in algorithms and low-power computing hardware imply that machine learning is
of potential use in off-grid medical data classification and diagnosis applications such as …

This work present an efficient hardware architecture of Support Vector Machine (SVM) for
the classification of Hyperspectral remotely sensed data using High Level Synthesis (HLS) …

Abstract Support Vector Machine (SVM) is a robust machine learning model that shows high
accuracy with different classification problems, and is widely used for various embedded …

In this paper, a low power support vector machine (SVM) training, feature extraction, and
classification algorithm are hardware implemented in a neural seizure detection application …

Abstract Machine Learning (ML) has been applied in so many areas in reason of its
robustness, usability, and reliability, mainly in hardware implementation. One of its well …

Support Vector Machine (SVM) is a common classifier used for efficient classification with
high accuracy. SVM shows high accuracy for classifying melanoma (skin cancer) clinical …

Machine learning is becoming the cornerstones of smart and autonomous systems. Machine
learning algorithms can be categorized into supervised learning (classification) and …

Melanoma is the most dangerous form of skin cancer, which is responsible for the majority of
skin cancer-related deaths. Early diagnosis of melanoma can significantly reduce mortality …