AIMC Topic: Models, Theoretical

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Position-context additive transformer-based model for classifying text data on social media.

Scientific reports Mar 8, 2025
In recent years, the continuous increase in the growth of text data on social media has been a major reason to rely on the pre-training method to develop new text classification models specially transformer-based models that have proven worthwhile in...
Algorithms Models, Theoretical Social Media Natural Language Processing Humans
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Point-of-interest recommender model using geo-tagged photos in accordance with imperialist Fuzzy C-means clustering.

PloS one Mar 7, 2025
Although recommender systems (RSs) strive to provide recommendations based on individuals' histories and preferences, most recommendations made by these systems do not utilize location and time-based information. This paper presents a travel recommen...
Cluster Analysis Photography Travel Humans Models, Theoretical Algorithms Fuzzy Logic
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An optimized machine learning framework for predicting and interpreting corporate ESG greenwashing behavior.

PloS one Mar 6, 2025
The accurate prediction and interpretation of corporate Environmental, Social, and Governance (ESG) greenwashing behavior is crucial for enhancing information transparency and improving regulatory effectiveness. This paper addresses the limitations i...
Models, Theoretical Conservation of Natural Resources Humans Machine Learning Algorithms
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Modeling crash avoidance behaviors in vehicle-pedestrian near-miss scenarios: Curvilinear time-to-collision and Mamba-driven deep reinforcement learning.

Accident; analysis and prevention Mar 4, 2025
Interactions between vehicle-pedestrian at intersections often lead to safety-critical situations. This study aims to model the crash avoidance behaviors of vehicles during interactions with pedestrians in near-miss scenarios, contributing to the dev...
Computer Simulation Deep Learning Humans Algorithms Environment Design Pedestrians Accidents, Traffic Time Factors Models, Theoretical Avoidance Learning Unmanned Aerial Devices Safety Reinforcement Machine Learning
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Prediction of river dissolved oxygen (DO) based on multi-source data and various machine learning coupling models.

PloS one Mar 4, 2025
Too low a concentration of dissolved oxygen (DO) in a river can disrupt the ecological balance, while too high a concentration may lead to eutrophication of the water body and threaten the health of the aquatic environment. Therefore, accurate predic...
Rivers Oxygen Water Quality Models, Theoretical Machine Learning Environmental Monitoring Algorithms Principal Component Analysis
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Construction of multi-metal interspecies correlation estimation models based on typical soil scenarios.

Environmental research Feb 28, 2025
The ecological risk assessment of metals in soils is essential for soil pollution management. However, regional soil heterogeneity and species diversity need to be considered when making these assessments. Therefore, an interspecies correlation estim...
Metals, Heavy Soil Microbiology Soil Pollutants Soil Risk Assessment Models, Theoretical Environmental Monitoring Metals
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Enhancement of long-horizon task planning via active and passive modification in large language models.

Scientific reports Feb 28, 2025
This study proposes a method for generating complex and long-horizon off-line task plans using large language models (LLMs). Although several studies have been conducted in recent years on robot task planning using LLMs, the planning results tend to ...
Humans Algorithms Models, Theoretical Task Performance and Analysis Language Robotics Large Language Models
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Purity control of simulated moving bed based on advanced fuzzy II controller.

PloS one Feb 24, 2025
Simulated Moving Bed (SMB) is the optimal technology for chromatographic separation, but its process is complex and sensitive to numerous parameters that affect separation performance, making it difficult to control. In recent years, fuzzy controller...
Computer Simulation Models, Theoretical Fuzzy Logic Algorithms
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Transforming residential water end use analysis: unleashing insights from widespread low-resolution smart metering data.

Water research Feb 20, 2025
Transforming smart meter data captured at low-resolution litre intervals of 15 to 60 mins into residential water end use data provides valuable insights for water businesses and their customers. Water end use data is crucial for developing effective ...
Neural Networks, Computer Australia Water Supply Conservation of Water Resources Cities Models, Theoretical
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The reanalysis of a new strategy for groundwater level prediction using combined simulation of machine learning and Muskingum methods under ecological water replenishment.

Environmental research Feb 20, 2025
Due to its multi-functionality, ecological water replenishment (EWR) has been an important measure for restoring aquifers. However, suitable prediction methods need to be selected for the unique fluctuation exhibited by groundwater level (GWL) in the...
Water Supply Groundwater Environmental Monitoring Machine Learning Computer Simulation Models, Theoretical
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