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 ...

In this study, we developed a dataset of behaviors associated with lameness in dairy cows. The data collection utilized IoT collars that were placed around the necks of 10 dairy cows. This publicly ...

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 ...

Credit risk assessment plays an important role in financial services by estimating the chance of a borrower defaulting. Recently, although the Large Language Models (LLMs) have demonstrated superior ...

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.

The issue is visible only with the latest datasets==3.2.0. When using image dataset the Python process gets aborted right before the exit with the following error: Fatal Python error: ...

Dr. James McCaffrey of Microsoft Research presents a full demo of k-nearest neighbors classification on mixed numeric and categorical data. Compared to other classification techniques, k-NN is easy to ...