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 ...
Scientific Research Publishing

Accuracy and Response Speed of Eye Center Annotation Using Eye Movement Models: Validating the Effectiveness of Eyesight Detection ()

Optokinetic Nystagmus (OKN) is a natural reflexive eye movement in oculomotor studies, reflecting the health status of the visual system. Through accurate eye center annotation, physicians can observe ...
IEEE

COMQ: A Backpropagation-Free Algorithm for Post-Training Quantization

Abstract: Post-training quantization (PTQ) has emerged as a practical approach to compress large neural networks, making them highly efficient for deployment. However, effectively reducing these ...
Game Rant

How to Get & Use Training Points in Yakuza Kiwami 3

Jake Fillery is an Evergreen Editor for GameRant who has been writing lists, guides, and reviews since 2022. With thousands of engaging articles and guides, Jake loves conversations surrounding all ...
Hosted on MSN

iHub-Data at IIIT Hyderabad launches six-month AI/ML training program for women graduate engineers

Hyderabad, 11 February 2026: iHub-Data at IIIT Hyderabad has announced the launch of a six-month intensive training program in Artificial Intelligence and Machine Learning (AI/ML), aimed at upskilling ...
IEEE

Classification of Acne Based on Facial Images Using KNN and Decision Tree

Abstract: Acne is a common dermatological condition affecting adolescents and adults, with severity ranging from mild to very severe. Accurate severity classification is crucial for effective ...