Battery prognostics and health management from a machine learning perspective
Transportation electrification is gaining prominence as a significant pathway for reducing
emissions and enhancing environmental sustainability. Central to this shift are lithium-ion …
emissions and enhancing environmental sustainability. Central to this shift are lithium-ion …
Bridging adaptive management and reinforcement learning for more robust decisions
From out-competing grandmasters in chess to informing high-stakes healthcare decisions,
emerging methods from artificial intelligence are increasingly capable of making complex …
emerging methods from artificial intelligence are increasingly capable of making complex …
[HTML][HTML] Toward human-in-the-loop AI: Enhancing deep reinforcement learning via real-time human guidance for autonomous driving
Due to its limited intelligence and abilities, machine learning is currently unable to handle
various situations thus cannot completely replace humans in real-world applications …
various situations thus cannot completely replace humans in real-world applications …
Fear-neuro-inspired reinforcement learning for safe autonomous driving
Ensuring safety and achieving human-level driving performance remain challenges for
autonomous vehicles, especially in safety-critical situations. As a key component of artificial …
autonomous vehicles, especially in safety-critical situations. As a key component of artificial …
A survey on reinforcement learning for recommender systems
Recommender systems have been widely applied in different real-life scenarios to help us
find useful information. In particular, reinforcement learning (RL)-based recommender …
find useful information. In particular, reinforcement learning (RL)-based recommender …
[HTML][HTML] Using Machine Learning to make nanomaterials sustainable
JJ Scott-Fordsmand, MJB Amorim - Science of The Total Environment, 2023 - Elsevier
Sustainable development is a key challenge for contemporary human societies; failure to
achieve sustainability could threaten human survival. In this review article, we illustrate how …
achieve sustainability could threaten human survival. In this review article, we illustrate how …
How the morphology encoding influences the learning ability in body-brain co-optimization
Embedding the learning of controllers within the evolution of morphologies has emerged as
an effective strategy for the co-optimization of agents' bodies and brains. Intuitively, that is …
an effective strategy for the co-optimization of agents' bodies and brains. Intuitively, that is …
Bankruptcy-evolutionary games based solution for the multi-agent credit assignment problem
Abstract Multi-agent Credit Assignment (MCA) problem is considered as one of the critical
challenges in developing Multi-Agent Reinforcement Learning (MARL). The MCA problem …
challenges in developing Multi-Agent Reinforcement Learning (MARL). The MCA problem …
[HTML][HTML] A review of machine learning models applied to genomic prediction in animal breeding
The advent of modern genotyping technologies has revolutionized genomic selection in
animal breeding. Large marker datasets have shown several drawbacks for traditional …
animal breeding. Large marker datasets have shown several drawbacks for traditional …
Research on Medical Problems Based on Mathematical Models
Y Liu, R Wu, A Yang - Mathematics, 2023 - mdpi.com
Mathematical modeling can help the medical community to more fully understand and
explore the physiological and pathological processes within the human body and can …
explore the physiological and pathological processes within the human body and can …