Successfully Making The Shift To Data Products In The AI Era

Many organizations talk about being data-driven, yet consistently sideline data when it challenges intuition or convenience.
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 ...
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 ...
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 ...
IEEE

Optimizing Customer Relationship Management (CRM) Systems Using Advanced Machine Learning Algorithms

Abstract: Using machine learning approaches, this effort aims to enhance CRM systems. Controlling client interactions, increasing client retention, and strengthening sales strategy are all greatly ...