AIMC Topic:
Models, Theoretical

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Transfer learning for visual categorization: a survey.

IEEE transactions on neural networks and learning systems Jul 1, 2014
Regular machine learning and data mining techniques study the training data for future inferences under a major assumption that the future data are within the same feature space or have the same distribution as the training data. However, due to the ...
Visual Perception Transfer, Psychology Surveys and Questionnaires Models, Theoretical Knowledge Machine Learning Algorithms Humans Neural Networks, Computer
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Prediction of activity type in preschool children using machine learning techniques.

Journal of science and medicine in sport Jun 24, 2014
OBJECTIVES: Recent research has shown that machine learning techniques can accurately predict activity classes from accelerometer data in adolescents and adults. The purpose of this study is to develop and test machine learning models for predicting ...
Child, Preschool Child Models, Theoretical Female Male Activities of Daily Living Accelerometry Motor Activity Walking Running Neural Networks, Computer Machine Learning Humans Bicycling Play and Playthings
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A lifelong learning hyper-heuristic method for bin packing.

Evolutionary computation Jun 3, 2014
We describe a novel hyper-heuristic system that continuously learns over time to solve a combinatorial optimisation problem. The system continuously generates new heuristics and samples problems from its environment; and representative problems and h...
Algorithms Computer Simulation Machine Learning Models, Theoretical
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Stochastic abstract policies: generalizing knowledge to improve reinforcement learning.

IEEE transactions on cybernetics May 13, 2014
Reinforcement learning (RL) enables an agent to learn behavior by acquiring experience through trial-and-error interactions with a dynamic environment. However, knowledge is usually built from scratch and learning to behave may take a long time. Here...
Stochastic Processes Artificial Intelligence Models, Theoretical Markov Chains
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Bridging scales in cancer progression: mapping genotype to phenotype using neural networks.

Seminars in cancer biology May 12, 2014
In this review we summarise our recent efforts in trying to understand the role of heterogeneity in cancer progression by using neural networks to characterise different aspects of the mapping from a cancer cells genotype and environment to its pheno...
Humans Phenotype Neoplasms Neural Networks, Computer Disease Progression Evolution, Molecular Genotype Models, Theoretical
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Combination of artificial neural network and genetic algorithm method for modeling of methylene blue adsorption onto wood sawdust from water samples.

Toxicology and industrial health Oct 23, 2013
The aim of this research was to develop a low price and environmentally friendly adsorbent with abundant of source to remove methylene blue (MB) from water samples. Sawdust solid-phase extraction coupled with high-performance liquid chromatography wa...
Methylene Blue Temperature Neural Networks, Computer Models, Theoretical Sulfuric Acids Adsorption Water Pollutants, Chemical Algorithms Sodium Hydroxide Wood Water Purification
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Multi-machine learning methods for rapid and synergistic inversion of groundwater contamination source, hydrogeologic parameter and boundary condition.

Journal of contaminant hydrology Jul 1, 2025
The application of machine learning methods to the groundwater pollution inversion problem has become a hot research topic in recent years. However, applying machine learning methods to achieve synergistic and rapid identification of pollution source...
Environmental Monitoring Water Pollutants, Chemical Machine Learning Neural Networks, Computer Models, Theoretical Groundwater
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Illuminating themes of ecovillages by leveraging participatory modeling: A convergent Gen-AI and Fuzzy Cognitive Maps approach.

Journal of environmental management Jun 1, 2025
Ecovillages, as defined by the United Nations, are communities that focus primarily on aspects of sustainability. The research on ecovillages is vital, as it helps to uncover actionable artefacts of sustainable practices. However, much of the extant ...
Artificial Intelligence Models, Theoretical Fuzzy Logic Conservation of Natural Resources Humans
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[The development of model of prognostication and minimization of risk of by-effects under combined application of agents for treatment of chronic cardiac deficiency using AI].

Problemy sotsial'noi gigieny, zdravookhraneniia i istorii meditsiny May 10, 2025
The chronic cardiac deficiency continues to be one of the leading health care problems requiring innovative solutions. The article presents mathematical algorithm to evaluate drug interactions and targeted to minimize side effects and to optimize chr...
Drug Therapy, Combination Models, Theoretical Algorithms Chronic Disease Drug-Related Side Effects and Adverse Reactions Humans Prognosis Drug Interactions Heart Diseases Artificial Intelligence Risk Assessment
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Integrating Model-Informed Drug Development With AI: A Synergistic Approach to Accelerating Pharmaceutical Innovation.

Clinical and translational science Jan 1, 2025
The pharmaceutical industry constantly strives to improve drug development processes to reduce costs, increase efficiencies, and enhance therapeutic outcomes for patients. Model-Informed Drug Development (MIDD) uses mathematical models to simulate in...
Humans Models, Theoretical Artificial Intelligence Algorithms Drug Development Drug Discovery Drug Industry
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