AIMC Topic: Empirical Research

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Semantic segmentation of urban environments: Leveraging U-Net deep learning model for cityscape image analysis.

PloS one Apr 5, 2024
Semantic segmentation of cityscapes via deep learning is an essential and game-changing research topic that offers a more nuanced comprehension of urban landscapes. Deep learning techniques tackle urban complexity and diversity, which unlocks a broad...
Image Processing, Computer-Assisted Semantics Deep Learning City Planning Hydrolases Empirical Research
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Unlocking human-robot synergy: The power of intent communication in warehouse robotics.

Applied ergonomics Feb 13, 2024
As autonomous mobile robots (AMR) are introduced into workspace environments shared with people, effective human-robot communication is critical to the prevention of injury while maintaining a high level of productivity. This research presents an emp...
Humans Communication Intention Empirical Research Trust Robotics
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Risk adjustment for regional healthcare funding allocations with ensemble methods: an empirical study and interpretation.

The European journal of health economics : HEPAC : health economics in prevention and care Jan 3, 2024
We experiment with recent ensemble machine learning methods in estimating healthcare costs, utilizing Finnish data containing rich individual-level information on healthcare costs, socioeconomic status and diagnostic data from multiple registries. Ou...
Humans Socioeconomic Factors Linear Models Risk Adjustment Health Care Costs Finland Female Empirical Research Male Machine Learning
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Fine-tuning coreference resolution for different styles of clinical narratives.

Journal of biomedical informatics Dec 18, 2023
OBJECTIVE: Coreference resolution (CR) is a natural language processing (NLP) task that is concerned with finding all expressions within a single document that refer to the same entity. This makes it crucial in supporting downstream NLP tasks such as...
Empirical Research Neural Networks, Computer Narration Natural Language Processing Information Storage and Retrieval Humans
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Psychological factors underlying attitudes toward AI tools.

Nature human behaviour Nov 20, 2023
What are the psychological factors driving attitudes toward artificial intelligence (AI) tools, and how can resistance to AI systems be overcome when they are beneficial? Here we first organize the main sources of resistance into five main categories...
Empirical Research Intention Humans Artificial Intelligence Mental Disorders Cognition
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Intelligent diagnosis and prediction of turbine digital electro-hydraulic control system faults: Design and experimentation.

PloS one Nov 15, 2023
A physical modeling approach was adopted to build a Digital Electro-Hydraulic Control (DEH) system simulation model and the fault models using the SIMULINK tool. This research combined the advantages of the gray system and neural network to build a m...
Intelligence Research Design Empirical Research Computer Simulation Neural Networks, Computer
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GRAND: GAN-based software runtime anomaly detection method using trace information.

Neural networks : the official journal of the International Neural Network Society Oct 29, 2023
Software runtime anomaly detection can detect manifestations (known as anomalies) caused by faults in complex systems before they lead to failure. Whereas most existing methods use external performance indicators, this study uses internal execution t...
Time Factors Empirical Research Software Databases, Factual Neural Networks, Computer
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Advanced deep learning techniques for early disease prediction in cauliflower plants.

Scientific reports Oct 27, 2023
Agriculture plays a pivotal role in the economies of developing countries by providing livelihoods, sustenance, and employment opportunities in rural areas. However, crop diseases pose a significant threat to both farmers' incomes and food security. ...
Humans Deep Learning Disease Management Agriculture Empirical Research Drug-Related Side Effects and Adverse Reactions
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Multi-level perception fusion dehazing network.

PloS one Oct 2, 2023
Image dehazing models are critical in improving the recognition and classification capabilities of image-related artificial intelligence systems. However, existing methods often ignore the limitations of receptive field size during feature extraction...
Recognition, Psychology Perception Empirical Research Artificial Intelligence Research Design
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Computational and systems neuroscience: The next 20 years.

PLoS biology Sep 26, 2023
Over the past 20 years, neuroscience has been propelled forward by theory-driven experimentation. We consider the future outlook for the field in the age of big neural data and powerful artificial intelligence models.
Artificial Intelligence Neurosciences Empirical Research Research Design Big Data
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