Abstract: Deep Learning(DL) has emerged as a significant area of research across various fields, particularly in healthcare. The identification of irregularities in Electrocardiogram (ECG) readings is ...

(The single file conversion should now work as expected. I'm continuing to remove hard-coded references in the bulk conversion process. Most of the errors stemmed from stripping down parts of the ...

Explore the first part of our series on sleep stage classification using Python, EEG data, and powerful libraries like Sklearn and MNE. Perfect for data scientists and neuroscience enthusiasts!

In an era of rapidly growing multimedia data, the need for robust and efficient classification systems has become critical, specifically the identification of class names and poses or styles. This ...

Arid and semiarid regions face challenges such as bushland encroachment and agricultural expansion, especially in Tiaty, Baringo, Kenya. These issues create mixed opportunities for pastoral and ...

In this tutorial, we demonstrate how to efficiently fine-tune the Llama-2 7B Chat model for Python code generation using advanced techniques such as QLoRA, gradient checkpointing, and supervised ...

Abstract: Industrial and agricultural use requires fruit colour, size, shape, and texture classification. Classification enhances sorting, grading, quality control, and customer satisfaction.

While many countries have registries of livestock farms, it can be challenging to obtain information on their primary production type. For example, for Swiss farms registered as keeping cattle, a ...

The use of machine learning algorithms to identify characteristics in Distributed Denial of Service (DDoS) attacks has emerged as a powerful approach in cybersecurity. DDoS attacks, which aim to ...