IEEE

Agriculture Yield Estimation Using Machine Learning Algorithms

Abstract: Storage, distribution, pricing, marketing, import/export, and other policy considerations all depend on accurate and timely crop output estimates. The directorates of economics and ...
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.
DATAQUESTOpinion

India's semiconductor opportunity lies in AI-native design and sustainable innovation

The emerging convergence of AI-first design principles and environmental consciousness is reshaping how we think about ...
C&EN

Real-Time and Rapid Food Quality Monitoring Using Smart Sensory Films with Image Analysis and Machine Learning

Department of Agricultural and Biological Engineering, University of Florida, P.O. Box 110570, Gainesville, Florida 32611, United States ...
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 ...
Journal of Medical Internet Research

Mortality Risk Prediction in Patients With Antimelanoma Differentiation–Associated, Gene 5 Antibody–Positive, Dermatomyositis–Associated Interstitial Lung Disease ...

Six ML algorithms (Extreme Gradient Boosting [XGBoost], logistic regression (LR), Light Gradient Boosting Machine [LightGBM], random forest [RF], support vector machine [SVM], and k-nearest neighbor ...
IEEE

Comparison of Machine Learning Algorithms for Predicting Crime Hotspots

Abstract: Crime prediction is of great significance to the formulation of policing strategies and the implementation of crime prevention and control. Machine learning is the current mainstream ...
Frontiers

Enhanced differentiation of breast lesions through integration of microvascular flow imaging and machine learning algorithms

Breast cancer diagnosis relies on imaging, yet conventional Doppler ultrasound possesses limitations in visualizing tumor microvasculature. This study aimed to compare Microvascular Flow imaging ...