Publications related to Predictive analytics

Analytical Model of Single-Sided Linear Induction Motors for High-Speed Applications

André Hodder, Lucien André Félicien Pierrejean, Simone Rametti

This article describes a field-based analytical model of single-sided linear induction motors (SLIMs) that explicitly considers the following effects altogether: finite motor length, magnetomotive force mmf space harmonics, slot effect, edge effect, and ta ...

2024

3D printed large amplitude torsional microactuators powered by ultrasound

Mahmut Selman Sakar, Mehdi Ali Gadiri, Junsun Hwang, Amit Yedidia Dolev

Here, we introduce a design, fabrication, and control methodology for large amplitude torsional microactuators powered by ultrasound. The microactuators are 3D printed from two polymers with drastically different elastic moduli as a monolithic compliant me ...

2024

Artificial intelligence of things for synergizing smarter eco-city brain, metabolism, and platform: Pioneering data-driven environmental governance

Jeffrey Huang, Simon Elias Bibri

Emerging smarter eco-cities, inherently intertwined with environmental governance, function as experimental sites for testing novel technological solutions and implementing environmental reforms aimed at addressing complex challenges. However, despite sign ...

Elsevier2024

Benchmarking machine-readable vectors of chemical reactions on computed activation barriers

Ksenia Briling, Puck Elisabeth van Gerwen, Yannick Calvino Alonso, Malte Martin Franke

In recent years, there has been a surge of interest in predicting computed activation barriers, to enable the acceleration of the automated exploration of reaction networks. Consequently, various predictive approaches have emerged, ranging from graph-based ...

Royal Soc Chemistry2024

Augmented Memory: Sample-Efficient Generative Molecular Design with Reinforcement Learning

Philippe Schwaller, Jeff Guo

Sample efficiency is a fundamental challenge in de novo molecular design. Ideally, molecular generative models should learn to satisfy a desired objective under minimal calls to oracles (computational property predictors). This problem becomes more apparen ...

Amer Chemical Soc2024

Spatial analysis of 10-year predicted risk and incident atherosclerotic cardiovascular disease: the CoLaus cohort

Stéphane Joost, Idris Guessous, David Nicolas De Ridder, Guillaume Jordan

Whether cardiovascular risk scores geographically aggregate and inform on spatial development of atherosclerotic cardiovascular diseases (ASCVD) remains unknown. Our aim is to determine the spatial distribution of 10-year predicted cardiovascular risk and ...

2024

Student Answer Forecasting: Transformer-Driven Answer Choice Prediction for Language Learning

Vinitra Swamy, Paola Mejia Domenzain, Tommaso Martorella, Jibril Albachir Frej, Luca Zunino, Elena Grazia Gado

Intelligent Tutoring Systems (ITS) enhance personalized learning by predicting student answers to provide immediate and customized instruction. However, recent research has primarily focused on the correctness of the answer rather than the student's perfor ...

2024

Out of their minds? Externalist challenges for using AI in forensic psychiatry

Marcello Ienca, Ambra D'imperio

Harnessing the power of machine learning (ML) and other Artificial Intelligence (AI) techniques promises substantial improvements across forensic psychiatry, supposedly offering more objective evaluations and predictions. However, AI-based predictions abou ...

FRONTIERS MEDIA SA2023

Data-enabled Predictive Control for Empty Vehicle Rebalancing

Nikolaos Geroliminis, Giancarlo Ferrari Trecate, Pengbo Zhu

A critical operational challenge in Mobility-on-demand systems is the problem of imbalance between vehicle supply and passenger demand. However, conventional model-based methods require accurate parametric system models with complex nonlinear dynamics that ...

IEEE2023

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Predictive analytics

Analytical Model of Single-Sided Linear Induction Motors for High-Speed Applications

3D printed large amplitude torsional microactuators powered by ultrasound

Artificial intelligence of things for synergizing smarter eco-city brain, metabolism, and platform: Pioneering data-driven environmental governance

Benchmarking machine-readable vectors of chemical reactions on computed activation barriers

Augmented Memory: Sample-Efficient Generative Molecular Design with Reinforcement Learning

Electromagnetic Radiation of Implantable Antennas

Spatial analysis of 10-year predicted risk and incident atherosclerotic cardiovascular disease: the CoLaus cohort

Student Answer Forecasting: Transformer-Driven Answer Choice Prediction for Language Learning

Out of their minds? Externalist challenges for using AI in forensic psychiatry

Data-enabled Predictive Control for Empty Vehicle Rebalancing

Graph Chatbot

Chat with Graph Search

Analytical Model of Single-Sided Linear Induction Motors for High-Speed Applications

Electromagnetic Radiation of Implantable Antennas

Spatial analysis of 10-year predicted risk and incident atherosclerotic cardiovascular disease: the CoLaus cohort

Out of their minds? Externalist challenges for using AI in forensic psychiatry

3D printed large amplitude torsional microactuators powered by ultrasound

Benchmarking machine-readable vectors of chemical reactions on computed activation barriers

Augmented Memory: Sample-Efficient Generative Molecular Design with Reinforcement Learning

Student Answer Forecasting: Transformer-Driven Answer Choice Prediction for Language Learning

Data-enabled Predictive Control for Empty Vehicle Rebalancing

Artificial intelligence of things for synergizing smarter eco-city brain, metabolism, and platform: Pioneering data-driven environmental governance