TillerPET: An AI model for high-throughput phenotyping of rice tiller traits

In a new study published in The Crop Journal on November 7, researchers developed an AI model named TillerPET that enables ...
IEEE

Novel Preprocessing Technique for Data Embedding in Engineering Code Generation Using Large Language Model

Abstract: We introduce four principal contributions to augment the capabilities of Large Language Models (LLMs) in generating domain-specific code: (i) leveraging LLM-based data splitting and data ...
IEEE

Enhancing Diabetes Diagnosis: A Comparative Study of Machine Learning Algorithms with Data Preprocessing Techniques

Abstract: The primary aim of this study is to assess the performance of various ML algorithms in diagnosing diabetes depending on various data preprocessing methods. Utilizing the Pima Indian Diabetes ...
GitHub

Koheesio: A Python Framework for Efficient Data Pipelines

Koheesio is a versatile framework that supports multiple implementations and works seamlessly with various data processing libraries or frameworks. This ensures that Koheesio can handle any data ...
Frontiers

The Neuro Bureau Preprocessing Initiative: open sharing of preprocessed neuroimaging data and derivatives

Grass-roots initiatives such as the 1000 Functional Connectomes Project (FCP) and International Neuroimaging Data- sharing Initiative (INDI) [1] are successfully amassing and sharing large-scale brain ...