AIMC Topic: Models, Theoretical

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Machine learning mathematical models for incidence estimation during pandemics.

PLoS computational biology Dec 23, 2024
Accurate estimates of the incidence of infectious diseases are key for the control of epidemics. However, healthcare systems are often unable to test the population exhaustively, especially when asymptomatic and paucisymptomatic cases are widespread;...
Humans Models, Theoretical Machine Learning Bayes Theorem Pandemics Incidence SARS-CoV-2 COVID-19 Computational Biology
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Assessing the effectiveness of fuzzy logic-based models for predicting sports event outcomes: A CRITIC-VIKOR approach.

PloS one Dec 23, 2024
Incorporating fuzzy logic-based models into sports prediction has generated significant interest due to the intricate nature of athletic events and the many factors influencing their outcomes. This study evaluates the effectiveness of fuzzy logic-bas...
Sports Athletic Performance Humans Fuzzy Logic Models, Theoretical Decision Making
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How can language models assist with pharmaceuticals manufacturing deviations and investigations?

International journal of pharmaceutics Dec 18, 2024
Large Language Models (LLM) such as the Generative-Pretrained-Transformer (GPT) and Large-Language-Model-Meta-AI (LLaMA) have attracted much attention. There is strong evidence that these models perform remarkably well in various natural language pro...
Pharmaceutical Preparations Drug Industry Natural Language Processing Artificial Intelligence Models, Theoretical
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Optimizing carbon source addition to control surplus sludge yield via machine learning-based interpretable ensemble model.

Environmental research Dec 17, 2024
Appropriate carbon source addition can save operational costs and reduce surplus sludge yield in the wastewater treatment plant (WWTP). However, the link between carbon source and surplus sludge yield remains neglected although machine learning (ML) ...
Sewage Machine Learning Waste Disposal, Fluid Models, Theoretical Carbon
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AI-based plastic waste sorting method utilizing object detection models for enhanced classification.

Waste management (New York, N.Y.) Dec 16, 2024
The export ban on plastic waste by China has brought domestic plastic recycling to the forefront of environmental concerns, with sorting being a crucial step in the recycling process. This study assessed the performance of advanced AI models, Mask R-...
Refuse Disposal Models, Theoretical Plastics Recycling Waste Management Artificial Intelligence China Neural Networks, Computer
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Exploring α-ψ-ϕ contractive mapping: novel fixed point theorems in complete b-metric spaces.

F1000Research Dec 16, 2024
This paper explores the concept of contractive mappings, contributing to the advancement of self-map extensions and fixed-point theorems within b-metric spaces. We introduce a new class of contractive mappings and demonstrate how they extend traditi...
Algorithms Machine Learning Models, Theoretical
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Utilizing InVEST ecosystem services model combined with deep learning and fallback bargaining for effective sediment retention in Northern Iran.

Environmental science and pollution research international Dec 14, 2024
This study aimed to integrate game theory and deep learning algorithms with the InVEST Ecosystem Services Model (IESM) for Sediment Retention (SR) modeling in the Kasilian watershed, Iran. The Kasilian watershed is characterized by multiple sub-water...
Algorithms Ecosystem Deep Learning Iran Models, Theoretical Geologic Sediments
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A novel strategy for the MPPT in a photovoltaic system via sliding modes control.

PloS one Dec 13, 2024
This paper proposes a robust maximum power point tracking algorithm based on a super twisting sliding modes controller. The underlying idea is solving the classical trajectory tracking control problem where the maximum power point defines the referen...
Solar Energy Neural Networks, Computer Temperature Bayes Theorem Algorithms Electric Power Supplies Models, Theoretical Computer Simulation
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Towards A universal settling model for microplastics with diverse shapes: Machine learning breaking morphological barriers.

Water research Dec 12, 2024
Accurately predicting the settling velocity of microplastics in aquatic environments is a prerequisite for reliably modeling their transport processes. An increasing number of settling models have been proposed for microplastics with fragmented, film...
Water Pollutants, Chemical Microplastics Machine Learning Models, Theoretical
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Plane coexistence behaviors for Hopfield neural network with two-memristor-interconnected neurons.

Neural networks : the official journal of the International Neural Network Society Dec 12, 2024
Memristors are commonly used as the connecting parts of neurons in brain-like neural networks. The memristors, unlike the existing literature, possess the capability to function as both self-connected synaptic weights and interconnected synaptic weig...
Models, Theoretical Hopfield Neural Networks
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