AIMC Topic: Models, Theoretical

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DNTB: Dual-branch network model based on transformer and Bi-LSTM for energy consumption prediction in building chiller systems.

PloS one
Accurate prediction of chiller energy consumption is crucial for reducing building energy consumption. In this study, an innovative dual-branch network architecture DNTB (A Dual-Branch Network Model Based on Transformer and Bi-LSTM for Energy Consump...

Artificial Intelligence Modeling for Groundwater Environments across Spatial Scales.

Environmental science & technology
Groundwater is threatened by climate change and human activities, with depletion and contamination emerging as critical risks, necessitating the development of models to estimate its response to changes. Artificial intelligence (AI) is gaining increa...

Species habitat modeling based on image semantic segmentation.

Scientific reports
Habitat monitoring has emerged as a crucial practice for preserving ecological environments and ensuring species reproduction. Traditional habitat modeling often relies on the "lasagna model"-a McHarg-style approach that focuses on the ecological nic...

Role of human collaboration in artificial intelligence with fuzzy based mathematical models and decision making problems.

Scientific reports
The rapid development of artificial intelligence (AI) and machine learning (ML) has revolutionized computer technology, enabling it to make intelligent decisions, exhibit adaptive behavior, and foster synergistic human-AI environments. To ensure that...

Mathematical models for predicting the toxicity of micropollutant mixtures in water.

Arhiv za higijenu rada i toksikologiju
Water pollution caused by micropollutants has been a global issue for decades, prompting the scientific community and industry professionals to develop new and effective wastewater treatment methods. Understanding the interactions of these compounds ...

Surrogate modeling for time-dependent reliability analysis of robotic manipulator trajectories.

PloS one
The kinematic reliability analysis of robotic manipulators is crucial due to uncertainties such as joint variations, manufacturing tolerances, and external disturbances. Traditional methods often rely on analytical techniques that struggle with nonli...

Fuzzy and fractional analysis of cancer tumor dynamics with depression effects on chemotherapy.

Scientific reports
Cancer is a complex and heterogeneous condition marked by the unchecked growth and dissemination of abnormal cells, posing significant challenges in detection, treatment, and patient care. As one of the leading global causes of death, a deep understa...

Conceptual development and implementation of a digital twin model for managing saltwater intrusion of an island coastal aquifer.

Environmental monitoring and assessment
Saltwater intrusion (SWI) poses a significant environmental challenge for coastal aquifers in Pacific Island nations, including Port Vila, Vanuatu. This study utilised a 3D numerical simulation model to evaluate SWI in the Tagabe coastal aquifer unde...

Short-term power prediction of photovoltaic power stations based on Kepler optimization algorithm and VMD-CNN-LSTM model.

PloS one
This study focuses on the short-term power prediction of photovoltaic power stations, aiming to address the intermittent and fluctuating problems of photovoltaic power generation, in order to improve the prediction accuracy and ensure the stable oper...

Experimental characterization and machine learning modeling of leakage-induced soil fluidization in water distribution systems.

PloS one
Leakage in water distribution systems poses a global challenge, not only due to resource loss but also through soil erosion and sinkhole formation, which risk infrastructure collapse. This study investigates the mechanisms of soil fluidization, a pro...