AIMC Topic: Fuzzy Logic

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Uncertainty Global Contrastive Learning Framework for Semi-Supervised Medical Image Segmentation.

IEEE journal of biomedical and health informatics Jan 7, 2025
In semi-supervised medical image segmentation, the issue of fuzzy boundaries for segmented objects arises. With limited labeled data and the interaction of boundaries from different segmented objects, classifying segmentation boundaries becomes chall...
Image Interpretation, Computer-Assisted Uncertainty Diagnostic Imaging Supervised Machine Learning Humans Algorithms Image Processing, Computer-Assisted Fuzzy Logic Databases, Factual
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Fuzzy Synchronization Likelihood Graph in Deep Neural Networks for Human Motion Time Series Analysis.

IEEE journal of biomedical and health informatics Jan 7, 2025
Variable interactivity is crucial in biological multivariate time series analysis. This research suggests using graph structures to represent such interactions for more explainable decision-making processes. However, measuring the variable interactio...
Humans Fuzzy Logic Deep Learning Neural Networks, Computer Time and Motion Studies Biomechanical Phenomena
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EEG Signals Classification Related to Visual Objects Using Long Short-Term Memory Network and Nonlinear Interval Type-2 Fuzzy Regression.

Brain topography Jan 6, 2025
By gaining insights into how brain activity is encoded and decoded, we enhance our understanding of brain function. This study introduces a method for classifying EEG signals related to visual objects, employing a combination of an LSTM network and n...
Signal Processing, Computer-Assisted Nonlinear Dynamics Fuzzy Logic Electroencephalography Brain Female Adult Male Young Adult Humans Neural Networks, Computer
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AI-based processing of future prepared foods: Progress and prospects.

Food research international (Ottawa, Ont.) Jan 4, 2025
The prepared foods sector has grown rapidly in recent years, driven by the fast pace of modern living and increasing consumer demand for convenience. Prepared foods are taking an increasingly important role in the modern catering industry due to thei...
Artificial Intelligence Fuzzy Logic Machine Learning Humans Food Handling
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Assessment of wetland ecological restoration effect based on fuzzy analytic hierarchy process: a case study of Tianjin Qilihai Wetland.

Environmental monitoring and assessment Jan 4, 2025
Scientific evaluation of the effectiveness of ecological restoration could provide support for sustainable management and protection of wetlands. However, due to the multiple and difficult to quantify factors affecting wetlands, commonly used spatiot...
Conservation of Natural Resources Wetlands Ecosystem China Fuzzy Logic Environmental Restoration and Remediation Environmental Monitoring
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A novel fuzzy three-valued logic computational framework in machine learning for medicine dataset.

Computers in biology and medicine Jan 2, 2025
For consideration of uncertainties of a medicine dataset, a new conceptual architecture fuzzy three-valued logic is introduced in this research work. The proposed concept is applied to the heart disease dataset for the assessment of heart disease ris...
Humans Machine Learning Heart Diseases Databases, Factual Fuzzy Logic
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A GPU-accelerated fuzzy method for real-time CT volume filtering.

PloS one Jan 2, 2025
During acquisition and reconstruction, medical images may become noisy and lose diagnostic quality. In the case of CT scans, obtaining less noisy images results in a higher radiation dose being administered to the patient. Filtering techniques can be...
Humans Algorithms Fuzzy Logic Tomography, X-Ray Computed Computer Graphics Image Processing, Computer-Assisted
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Automatic brake Driver Assistance System based on deep learning and fuzzy logic.

PloS one Dec 31, 2024
Advanced Driver Assistance Systems (ADAS) aim to automate transportation fully. A key part of this automation includes tasks such as traffic light detection and automatic braking. While indoor experiments are prevalent due to computational demands an...
Automation Accidents, Traffic Automobile Driving Humans Deep Learning Algorithms Fuzzy Logic
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A new risk assessment model of venous thromboembolism by considering fuzzy population.

BMC medical informatics and decision making Dec 30, 2024
BACKGROUND: Inpatients with high risk of venous thromboembolism (VTE) usually face serious threats to their health and economic conditions. Many studies using machine learning (ML) models to predict VTE risk overlook the impact of class-imbalance pro...
Humans Fuzzy Logic Venous Thromboembolism Machine Learning Aged Adult China Middle Aged Female Support Vector Machine Risk Assessment Male
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Quantum-resilient software security: A fuzzy AHP-based assessment framework in the era of quantum computing.

PloS one Dec 30, 2024
The introduction of quantum computing has transformed the setting of information technology, bringing both unprecedented opportunities and significant challenges. As quantum technologies continue to evolve, addressing their implications for software ...
Computer Security Fuzzy Logic Software Quantum Theory Algorithms
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