IEEE

A Min-Max Based Data Normalization and Maximum Pooling Approach for Improved Maize Leaf Disease Detection

Abstract: Accurately detecting maize leaf diseases from field images is challenging. This is because of the shortcomings of field data such as complex and non-uniform backgrounds and varying ...
IEEE

$\bigcirc\!\!\!\!\bigcirc$ CHAIN: Enhancing Generalization in Data-Efficient GANs via LipsCHitz Continuity ConstrAIned Normalization

Abstract: Generative Adversarial Networks (GANs) significantly advanced image generation but their performance heavily depends on abundant training data. In scenarios with limited data, GANs often ...
TMCnet

Data Normalization vs. Standardization: What's the Difference and When to Use Each

Data Normalization vs. Standardization is one of the most foundational yet often misunderstood topics in machine learning and data preprocessing. If you’ve ever built a predictive model, worked on a ...
Forbes

Clean Data: The Cornerstone Of An AI Strategy

AI adoption is accelerating across industries as enterprises move beyond pilot projects to large-scale deployments. Flexera’s 2026 IT Priorities report shows that 94% of IT leaders are actively ...
InfoWorld

AI-augmented data quality engineering

Modern enterprise data platforms operate at a petabyte scale, ingest fully unstructured sources, and evolve constantly. In such environments, rule-based data quality systems fail to keep pace. They ...