InfoQ

Inside Target’s LLM-Based System for Semantic Matching in Marketing Forecast Pipelines

Target built a generative AI system to improve marketing campaign forecasting by retrieving and ranking similar historical ...
IEEE

Classification of Dominant Tree Species and Vegetation Types Based on Sentinel-2 Time Series Multispectral Data in the Eastern Qilian Mountains

Abstract: Precise mapping of forest vegetation, including both dominant tree species and other vegetation types, is essential for forest management and biodiversity conservation, yet traditional ...
AZoSensors

Textile-Based IDC Strain Sensor Tracks Yoga Postures with 94.4% Accuracy

Researchers developed a washable textile-based IDC strain sensor that tracked yoga-inspired movements with 94.4% record-level ...
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

Machine Learning Framework for Industrial Machine Sound Classification in Predictive Maintenance

Abstract: Predictive maintenance, utilising anomalous sound classification, demonstrates a strong potential to identify mechanical faults in industrial machinery. This research proposes a machine ...
Phys.org

Machine learning tool pinpoints optimal locations for tree planting, offering a powerful tool for climate mitigation

Afforestation—establishing forests on previously non-forested land, or where forests have not existed for a long time—is one of the nature-based and cost-effective solutions for climate change ...
Nature

Community detection framework based on 3D shape descriptors for tree species classification in point cloud data

Accurate tree species classification from remote sensing data, such as LiDAR point clouds, is important for various applications, including vegetation monitoring and forest growth prediction. Although ...
Visual Studio Magazine

Tsetlin Machine Binary Classification Using C#

The goal of a machine learning binary classification problem is to predict a variable that has exactly two possible values. For example, you might want to predict the sex of a company employee (male = ...
Nature

Fault classification in the architecture of virtual machine using deep learning

The performance of a network primarily depends on the probability of failure occurrence and its availability for various services, such as mitigation, latency gap, and simulations. Frequent faults in ...
LinkedIn

Tree‑Based Models in Machine Learning

Tree-based models are a foundational class of supervised machine learning algorithms that partition input data into branches based on feature values, creating an intuitive, rule-based tree structure.
housedigest

27 Varieties Of Trees That Grow Happily In Garden Containers

We may receive a commission on purchases made from links. Given the height the word tree implies, you'd be forgiven for questioning whether there's such a thing as container gardening for trees. And ...
LinkedIn

Classification Decision Tree in Machine Learning

Decision Tree algorithm in Machine Learning is a supervised, tree-based classification model. Each internal node represents a test on a feature (column), each branch represents the outcome of a test, ...