Machine learning and dynamic user interfaces in a context aware nurse application environment
Sign Up to like & getrecommendations! Published in 2017 at "Journal of Ambient Intelligence and Humanized Computing"
DOI: 10.1007/s12652-016-0384-1
Abstract: The increasing usage of smartphones in daily life has received considerable attention in academic and industry driven research to be utilized in the health sector. There has been development of a variety of health-related smartphone… read more here.
Keywords: machine learning; context; learning dynamic; dynamic user ... See more keywords
Parameters identification of solid oxide fuel cell for static and dynamic simulation using comprehensive learning dynamic multi-swarm marine predators algorithm
Sign Up to like & getrecommendations! Published in 2021 at "Energy Conversion and Management"
DOI: 10.1016/j.enconman.2020.113692
Abstract: Abstract An accurate identification of the parameters of solid oxide fuel cell (SOFC) models is the first step to provide a reliable design for an energy storage system using SOFC. Therefore, in the current work,… read more here.
Keywords: multi swarm; learning dynamic; dynamic multi; marine predators ... See more keywords
Dynamic Multichannel Sensing in Cognitive Radio: Hierarchical Reinforcement Learning
Sign Up to like & getrecommendations! Published in 2021 at "IEEE Access"
DOI: 10.1109/access.2021.3056670
Abstract: Efficient use of spectral resources is critical in wireless networks and has been extensively studied in recent years. Dynamic spectrum access (DSA) is one of the key techniques on utilizing the spectral resources. Among them,… read more here.
Keywords: reinforcement learning; access; reinforcement; multichannel sensing ... See more keywords
Learning Dynamic Spatial-Temporal Dependence in Traffic Forecasting
Sign Up to like & getrecommendations! Published in 2024 at "IEEE Access"
DOI: 10.1109/access.2024.3516091
Abstract: Accurate traffic forecasting is a key part of intelligent transport systems, facilitating a variety of urban application services such as trip alerting, route planning and traffic management. However, due to the spatial and temporal correlations… read more here.
Keywords: traffic forecasting; dynamic spatial; learning dynamic; multi scale ... See more keywords
Distributed Composite Learning Dynamic Event-Triggered Control for Nonlinear Multi-Agent Power Systems
Sign Up to like & getrecommendations! Published in 2025 at "IEEE Transactions on Circuits and Systems I: Regular Papers"
DOI: 10.1109/tcsi.2025.3539299
Abstract: In this paper, a distributed composite learning dynamic event-triggered (ET) control protocol is presented for nonlinear multi-agent power systems (NMAPSs) in the presence of switching topologies, uncertain nonlinearities, external disturbances and limited network resources. A… read more here.
Keywords: event triggered; control; learning dynamic; composite learning ... See more keywords
Rethinking Class-Incremental Learning From a Dynamic Imbalanced Learning Perspective
Sign Up to like & getrecommendations! Published in 2025 at "IEEE Transactions on Multimedia"
DOI: 10.1109/tmm.2025.3632688
Abstract: Deep neural networks suffer from catastrophic forgetting when continually learning new concepts. In this paper, we analyze this problem from a data imbalance point of view. We argue that the imbalance between old task and… read more here.
Keywords: rethinking class; class incremental; learning dynamic; incremental learning ... See more keywords
Quantum Deep Reinforcement Learning for Dynamic Resource Allocation in Mobile Edge Computing-Based IoT Systems
Sign Up to like & getrecommendations! Published in 2024 at "IEEE Transactions on Wireless Communications"
DOI: 10.1109/twc.2023.3330868
Abstract: This paper exploits a quantum-empowered machine learning algorithm to enhance computation learning speed. We leverage quantum phenomena such as superposition and entanglement to work on large-scale multi-dimensional data represented by quantum states. Under stochastic behaviors… read more here.
Keywords: deep reinforcement; quantum deep; learning dynamic; reinforcement learning ... See more keywords
Learning and Dynamic Decision Making.
Sign Up to like & getrecommendations! Published in 2021 at "Topics in cognitive science"
DOI: 10.1111/tops.12581
Abstract: Humans make decisions in dynamic environments (increasingly complex, highly uncertain, and changing situations) by searching for potential alternatives sequentially over time, to determine the best option at a precise moment. Surprisingly, the field of behavioral… read more here.
Keywords: decision; learning dynamic; decision making; dynamic decision ... See more keywords