IEEE

Deep Learning-Based Stride Segmentation With Wearable Sensors: Effects of Data Quantity, Sensor Location, and Task

Abstract: Accurate stride segmentation from wearable sensors is foundational for digital gait assessment tools, yet systematic evaluations of deep learning approaches across varied mobility tasks ...

I asked 5 data leaders about how they use AI to automate - and end integration nightmares

Tech executives explain how they're moving beyond legacy Excel mapping to build AI data pipelines that cut integration ...
IEEE

Machine Learning Models in Customer Behaviour Prediction: A Comparative Analysis

Abstract: Understanding and predicting customer shopping behaviour is essential for enhancing user experience, optimizing marketing strategies, and increasing sales in e-commerce. This study compares ...
Total Retail

Retail and CPG’s Precision Era: How AI is Reshaping Forecasting, Fulfilment and Customer Engagement

The retailers that succeed will be those that treat AI not as a standalone technology initiative but as a core operational ...
IEEE

Development of a Predictive Wear Model Based on Test Data Using Machine Learning Algorithms

Abstract: This study explores the application of machine learning algorithms to predict abrasive wear based on the chemical composition and hardness of materials, validated through tests using ASTM ...