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Designing Carbon Fiber Organosheet Battery Enclosures for Crashworthiness using Finite Element Analysis and Machine Learning (arXiv:2309.00637v1 [cs.LG])

Designing Carbon Fiber Organosheet Battery Enclosures for Crashworthiness using Finite Element Analysis and Machine Learning (arXiv:2309.00637v1 [cs.LG])

by instadatahelp | Sep 6, 2023 | AI Blogs

The content discusses the potential use of carbon fiber composite as a replacement for metal-based battery enclosures in electric vehicles (E.V.s). The advantages of carbon fiber, such as its strength-to-weight ratio and corrosion resistance, make it a suitable...

Multi-Task Gaussian Processes for Predicting Cluster-Specific Outcomes

by instadatahelp | Sep 6, 2023 | AI Blogs

Cluster-Specific Predictions with Multi-Task Gaussian Processes Arthur Leroy, Pierre Latouche, Benjamin Guedj, Servane Gey; 24(5):1−49, 2023. Abstract This study introduces a model that utilizes Gaussian processes (GPs) to handle multitask learning, clustering, and...
Designing Carbon Fiber Organosheet Battery Enclosures for Crashworthiness using Finite Element Analysis and Machine Learning (arXiv:2309.00637v1 [cs.LG])

Deep Policy Gradient Methods for Commodities Trading (arXiv:2309.00630v1 [q-fin.TR])

by instadatahelp | Sep 6, 2023 | AI Blogs

This article examines the potential of deep reinforcement learning (DRL) methods in algorithmic commodities trading. The study presents a novel time-discretization scheme that adjusts to market volatility, improving the statistical properties of financial time series....

Defining Redundancy and Relevancy in Feature Selection Through a Comprehensive Information-Theoretic Approach Utilizing (Partial) Information Decomposition

by instadatahelp | Sep 6, 2023 | AI Blogs

A Comprehensive Definition of Redundancy and Relevance in Feature Selection Based on Information Decomposition Patricia Wollstadt, Sebastian Schmitt, Michael Wibral; 24(131):1−44, 2023. Abstract In machine learning and statistics, the selection of a minimal set of...
Designing Carbon Fiber Organosheet Battery Enclosures for Crashworthiness using Finite Element Analysis and Machine Learning (arXiv:2309.00637v1 [cs.LG])

Automated Cryptocurrency Trading: An Ensemble Approach using Deep Reinforcement Learning

by instadatahelp | Sep 6, 2023 | AI Blogs

We present a new approach to enhance the performance of trading strategies developed through deep reinforcement learning algorithms in the highly unpredictable environment of intraday cryptocurrency portfolio trading. Our method involves using an ensemble technique to...
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