Results 161 to 170 of about 146,509 (347)
Driver Behavior Modeling with Subjective Risk‐Driven Inverse Reinforcement Learning
Advanced Intelligent Systems, EarlyView.A subjective risk‐driven inverse reinforcement learning framework is proposed to model driver decision‐making. It infers drivers' risk perception and risk tolerance from driving data. A learnable risk threshold is used to regulate decisions, enabling interpretable and human‐like driving behavior decisions.
Yang Liang +6 more
wiley +1 more source
Retracted: Taxonomy of Adaptive Neuro-Fuzzy Inference System in Modern Engineering Sciences. [PDF]
Comput Intell Neurosci, 2023 Intelligence And Neuroscience C.
europepmc +1 more source
Using fuzzy logic to integrate neural networks and knowledge-based systems [PDF]
Outlined here is a novel hybrid architecture that uses fuzzy logic to integrate neural networks and knowledge-based systems. The author's approach offers important synergistic benefits to neural nets, approximate reasoning, and symbolic processing. Fuzzy
Yen, John
core +1 more source
Advanced Intelligent Systems, EarlyView.HTFC gets 3D refractive index tomograms of flowing cells. Label‐free monocytes are engineered to express patterns of cytoplasmic vacuoles. From the tomogram, an efficient dimensionality reduction is operated. Interpretable features are extracted to classify the expression severity of phenotypes coexisting in each cell, visually represented by a seven ...
Marika Valentino +9 more
wiley +1 more source
Application of Mamdani Fuzzy Inference System in Poultry Weight Estimation. [PDF]
Animals (Basel), 2023 Küçüktopçu E, Cemek B, Simsek H.
europepmc +1 more source
Neuromorphic Denoising with Fully Analog Memristive In‐Memory Computing
Advanced Intelligent Systems, EarlyView.This article borrows the concepts of episodic memory in human brains to experimentally implement a memristor‐based neuromorphic denoising process. A homogeneous memristor processing unit is experimentally demonstrated for both temporal storage and neural network computation, imitating the synapses in the human brain.
Daijing Shi +5 more
wiley +1 more source
Application of Adaptive Νeuro-Fuzzy Inference System in Interest Rates Effects on Stock Returns [PDF]
, 2011 Eleftherıos Gıovanıs
openalex
AI &Innovation, EarlyView.ABSTRACT The rapid evolution of the Internet of Things (IoT) has significantly advanced the field of electrocardiogram (ECG) monitoring, enabling real‐time, remote, and patient‐centric cardiac care. This paper presents a comprehensive survey of AI assisted IoT‐based ECG monitoring systems, focusing on the integration of emerging technologies such as ...
Amrita Choudhury +2 more
wiley +1 more source