AIMC Topic: Models, Theoretical

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Mathematical modelling of injection time in autoinjectors: State of the art and future perspectives.

International journal of pharmaceutics
Autoinjector devices are a specialized type of medical equipment used for the self-administration of medications. Over the past decade, the significance in these devices has increased, both in terms of their usage and academic interest. An important ...

A global analysis of the influence of shallow and deep groundwater tables on relationships between environmental parameters and heatwaves.

Environmental research
Heatwaves increasingly impact ecosystems, human health, and economic activities worldwide. As their frequency and intensity rise, understanding the mechanisms driving heatwave dynamics and interactions with land surface processes becomes crucial. Whi...

Demand forecasting and inventory optimization of distribution equipment: A fusion model based on genetic algorithm and machine learning.

PloS one
To improve the intelligent and refined management level of power distribution systems in equipment operation and maintenance as well as emergency support, this work proposes an integrated "prediction-optimization" model that combines genetic algorith...

Enhanced multi-horizon photovoltaic power forecasting: A novel approach integrating ICEEMDAN decomposition with hierarchical frequency neural networks.

PloS one
As a crucial renewable energy source, solar PV power generation drives environmental protection and energy transformation. However, existing forecasting models struggle to accurately capture the complex dynamics of photovoltaic (PV) power, primarily ...

From wastewater to epidemiological insights: A systematic review of modeling strategies for infectious disease surveillance.

Water research
Wastewater-based epidemiology (WBE) has emerged as a promising complementary tool in infectious diseases surveillance systems, offering real-time insights into the disease dynamics across various spatial coverage. By leveraging wastewater data, a wid...

Diffusion for Diffusion: A versatile multiphysics fields refinement framework in pollutants transportation.

Water research
Refining coupled multiphysics fields in pollutant transport from sparse measurements is critical for environmental risk assessment and industrial pollution mitigation. However, existing numerical solvers and machine learning architectures exhibit inh...

Interpretable forecasting of dissolved oxygen leveraging foundation model for proactive aeration in rural wastewater treatment systems.

Water research
Accurate forecasting of dissolved oxygen (DO) is crucial for maintaining biological treatment and minimizing energy consumption in wastewater systems. This challenge is acute in rural stabilization ponds, where DO responds nonlinearly to nutrient flu...

A bird target detection model designed for substation scenarios.

Scientific reports
Substations are critical to the power grid, but they are often disturbed by bird activity, which can lead to power failures and outages. Conventional bird-detection methods are costly and lack long-term effectiveness. To address these issues, this pa...

Quantum-topological meta-learning for tire-road contact stability and multi-modal road prediction in autonomous driving.

PloS one
This paper addresses the critical challenge of tire-road contact dynamics in intelligent transportation systems, particularly for Level 4 autonomous driving. Traditional empirical models fail to accurately predict tire behavior on unstructured road s...

Robust adaptive control with lumped model uncertainty and wind disturbance estimation for airship trajectory tracking.

PloS one
The robotic airship can be used as an aerostatic platform for many potential applications, for example, communication, hovering payload deliveries, data-gathering for research studies, etc. These applications require a fully autonomous perspective of...