Frontiers

AI & Machine Learning for Injury Prediction: From Data to Preventive Strategies

The integration of AI and Machine Learning into injury prediction is transforming how researchers, clinicians, and sports ...
Visual Studio Magazine

Support Vector Regression with SGD Training Using C#

Support vector regression can predict numeric values effectively, and this article shows how to implement and train a kernel SVR model in C# using stochastic sub-gradient descent.
AHA/ASA Journals

Contrastive Machine Learning to Quantify Hypertensive Multiorgan Damage and Identify New Disease Phenotypes: A Multinational Multimodal Study

BACKGROUND: Hypertension induces structural and functional damage in multiple organs. Evidence of subclinical damage ...
IEEE

Dynamic GPU Energy Optimization for Machine Learning Training Workloads

Abstract: GPUs are widely used to accelerate the training of machine learning workloads. As modern machine learning models become increasingly larger, they require a longer time to train, leading to ...
IEEE

Konstantina S. Nikita

Prediction Model,Clinical Decision Support Systems,Continuous Glucose Monitoring,Convolutional Neural Network,Deep Learning,Risk Stratification,Type 1 Diabetes Mellitus,Ultrasound Imaging,Uncertainty ...
GitHub

seanghay/awesome-khmer-language

Customer stories Events & webinars Ebooks & reports Business insights GitHub Skills ...
GitHub

GitHub - rohanmistry231/AI-From-Scratch: A unified hub for the Scratch Series — 200+ algorithms across ML, DL, NLP, LLM, GenAI, and TimeSeries, all implemented from scratch ...

AI From Scratch Every Algorithm. Implemented From Scratch. No Black Boxes. 200+ algorithms across 6 domains of artificial intelligence — all implemented from scratch using pure NumPy. No TensorFlow.