News

Novel model optimization algorithm improves robustness of near-infrared spectroscopy models
A research team from the Hefei Institutes of Physical Science of the Chinese Academy of Sciences has proposed a novel model optimization algorithm—External Calibration-Assisted Screening (ECA)— that ...
AI Tools & Skills Every Data Engineer Should Know
Discover the top AI tools and essential skills every data engineer needs in 2025 to optimize data pipelines, enable ...
GitHub2mon
anushreenair/Building-a-Hybrid-Machine-Learning-Model-with-Python
Overview This project implements a hybrid machine learning model combining LSTM (Long Short-Term Memory) and Linear Regression to predict stock closing prices. The model leverages LSTM's ability to ...
eWeek7mon
Types of AI Models: A Deep Dive With Examples
Common types of AI models include machine learning, deep learning, natural language processing, computer vision, generative AI, and hybrid AI. (Jump to Section) ...
Frontiers9mon
A hybrid machine learning model combining association rule mining and classification algorithms to predict differentiated thyroid cancer recurrence - Frontiers
A hybrid model combining classification algorithms with association rule mining was developed. Two relational classification approaches, regularized class association rules (RCAR) and classification ...
Scientific Research Publishing11mon
Spatial Heterogeneity Modeling Using Machine Learning Based on a Hybrid of Random Forest and Convolutional Neural Network (CNN) () - Scientific Research Publishing
Spatial heterogeneity refers to the variation or differences in characteristics or features across different locations or areas in space. Spatial data refers to information that explicitly or ...
IEEE11mon
iProps: A Comprehensive Software Tool for Protein Classification and Analysis With Automatic Machine Learning Capabilities and Model Interpretation Capabilities - IEEE Xplore
Protein classification is a crucial field in bioinformatics. The development of a comprehensive tool that can perform feature evaluation, visualization, automated machine learning, and model ...
IEEE1y
Urban Land Cover Classification with Efficient Hybrid Quantum Machine Learning Model - IEEE Xplore
Urban land cover classification aims to derive crucial information from earth observation data and categorize it into specific land uses. To achieve accurate classification, sophisticated machine ...