AIMC Topic: Fuzzy Logic

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Lightweight Two-Layer Control Architecture for Human-Following Robot.

Sensors (Basel, Switzerland) Dec 5, 2024
(1) Background: Human detection and tracking are critical tasks for assistive autonomous robots, particularly in ensuring safe and efficient human-robot interaction in indoor environments. The increasing need for personal assistance among the elderly...
Robotics Self-Help Devices Algorithms Fuzzy Logic Humans
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Improving Multiscale Fuzzy Entropy Robustness in EEG-Based Alzheimer's Disease Detection via Amplitude Transformation.

Sensors (Basel, Switzerland) Dec 5, 2024
This study investigates the effectiveness of amplitude transformation in enhancing the performance and robustness of Multiscale Fuzzy Entropy for Alzheimer's disease detection using electroencephalography signals. Multiscale Fuzzy Entropy is a comple...
Signal Processing, Computer-Assisted Alzheimer Disease Cluster Analysis Electroencephalography Entropy Female Aged Male Fuzzy Logic Humans Algorithms
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Enhancing green supplier selection: A nonlinear programming method with TOPSIS in cubic Pythagorean fuzzy contexts.

PloS one Dec 5, 2024
The advancements in information and communication technologies have given rise to innovative developments such as cloud computing, the Internet of Things, big data analytics, and artificial intelligence. These technologies have been integrated into p...
Artificial Intelligence Fuzzy Logic Algorithms Nonlinear Dynamics
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Rehabilitation Technologies by Integrating Exoskeletons, Aquatic Therapy, and Quantum Computing for Enhanced Patient Outcomes.

Sensors (Basel, Switzerland) Dec 4, 2024
Recent advancements in patient rehabilitation integrate both traditional and modern techniques to enhance treatment efficacy and accessibility. Hydrotherapy, leveraging water's physical properties, is crucial for reducing joint stress, alleviating pa...
Algorithms Fuzzy Logic Humans Hydrotherapy Quantum Theory Lower Extremity Exoskeleton Device Robotics
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Enhanced forecasting of rice price and production in Malaysia using novel multivariate fuzzy time series models.

Scientific reports Dec 2, 2024
A significant portion of the world's population relies on rice as a primary source of nutrition. In Malaysia, rice production began in the early 1960s, which led to the cultivation of the country's most significant food crop up till the present day. ...
Oryza Models, Economic Fuzzy Logic Malaysia Commerce Forecasting Agriculture Humans
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New Approaches of Generalised Fuzzy Soft sets on fuzzy Codes and Its Properties on Decision-Makings.

F1000Research Dec 2, 2024
BACKGROUND: Several scholars defined the concepts of fuzzy soft set theory and their application on decision-making problem. Based on this concept, researchers defined the generalised fuzzy soft set and its applications. However, to the best of the a...
Humans Fuzzy Logic Decision Making Algorithms
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A study of novel linear Diophantine fuzzy topological numbers and their application to communicable diseases.

The European physical journal. E, Soft matter Dec 1, 2024
The idea of linear Diophantine fuzzy sets (LDFs) is a novel tool for analysis, soft computing, and optimization. Recently, the concept of a linear Diophantine fuzzy graph has been proposed in 2022. The aim of this research is to extend topological nu...
Algorithms Humans Communicable Diseases Fuzzy Logic
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Spatial prediction of human brucellosis susceptibility using an explainable optimized adaptive neuro fuzzy inference system.

Acta tropica Nov 30, 2024
Brucellosis, a zoonotic disease caused by Brucella bacteria, poses significant risks to human, livestock, and wildlife health, alongside economic losses from livestock morbidity and mortality. This study improves Human Brucellosis Susceptibility Mapp...
Brucella Animals Spatial Analysis Humans Fuzzy Logic Disease Susceptibility Brucellosis Algorithms Iran
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A unique unsupervised enhanced intuitionistic fuzzy C-means for MR brain tissue segmentation.

Scientific reports Nov 30, 2024
The human-brain is a vital and complicated organ within the body. Identifying brain-related diseases can be challenging. Typically, Magnetic Resonance Imaging (MRI) scanning methods are used to gain insights of the protected regions in the body. Brai...
Brain Neoplasms Image Processing, Computer-Assisted Magnetic Resonance Imaging Fuzzy Logic Algorithms Brain Humans
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Fuzzy set-based decision support system for hydrogen sulfide removal technology selection in natural gas processing: a sustainability and efficiency perspective.

Environmental monitoring and assessment Nov 28, 2024
Removing hydrogen sulfide (HS) toxic and corrosive gas from the natural gas processing and utilization industry is a challenging problem for managers of these industries. This problem involves different economic, environmental, and health issues. Var...
Natural Gas Hydrogen Sulfide Air Pollutants Decision Support Techniques Air Pollution Fuzzy Logic
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