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 ...
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 ...
IEEE

Exploring Customer Segmentation with Machine Learning for Smarter Marketing Decisions

Abstract: Customers are the foundation of any business and its most important asset. Consumers are vital for several reasons, including generating revenue, influencing corporate choices, creating new ...
IEEE

Machine and Deep Learning Models for Stress Detection Using Multimodal Physiological Data

Abstract: Stress can disrupt daily activities and harm health if prolonged or severe. Early detection of mental stress, indicated by changes in bio-signals like thermal, electrical, and acoustic ...
IEEE

Predicting Customer Behavior with Machine Learning: A Case Study on E-Commerce Data

Predicting customer behavior in e-commerce is a topic this research tackles utilizing state-of-the-art machine learning approaches. Our study attempts to provide a unified method to enhance the ...
iaea.org

New IAEA Research Project Uses Machine Learning to Better Predict Polymer Changes under Radiation

Azillah Binti Othman, IAEA Department of Nuclear Sciences and Applications Ayhan Evrensel, IAEA Department of Nuclear Sciences and Applications The IAEA is inviting research organizations to join a ...
We Are Movie Geeks

PROJECT HAIL MARY – Review

PROJECT HAIL MARY gets most of the science right and also delivers it in an accessible, engaging way. The most hard-to-believe part is that the world would come together to solve this problem, ...
techtimes

AI Cyberattacks Rising: How Hackers Use Machine Learning to Launch Smarter Attacks

AI cyberattacks are rapidly transforming the cybersecurity landscape, enabling attackers to automate and scale operations with unprecedented speed. Through machine learning hacking, adversaries can ...