Results 151 to 160 of about 220,242 (290)

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, Zichao Wang, Zhiwei He, Qingquan Wei, Yong Zuo, Linzhen Nie, Zhishuai Yin   +6 more
wiley   +1 more source

A novel q-ROHFS prospect theory based MABAC method for failure mode risk prioritization in aircraft landing systems. [PDF]

Sci Rep
Köseoğlu A, Altun F, Şahin R.
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, Teng Zhang, Yuqi Li, Yaoyu Tao, Bonan Yan, Yuchao Yang   +5 more
wiley   +1 more source

Water‐Mediated Phosphoryl Wires Stabilize Pathological Tau Fibrils

Angewandte Chemie, EarlyView.
Extended 1D phosphoryl “wires” stabilize in‐register amyloid tau fibrils, as demonstrated by multiple‐quantum spin‐counting NMR, TEM, and MD simulations, using fibrils of tau peptide jR2R3‐P301L (tau295–313) with phosphorylation at S305 or Y310. ABSTRACT Hyperphosphorylation of tau is a hallmark of tauopathies, with specific phosphorylation sites ...
Lokeswara Rao Potnuru, Austin DuBose, Fiona Mon, Mesopotamia S. Nowotarski, Michael Vigers, Boqin Zhang, Chung‐Ta Han, John E. Straub, Songi Han   +8 more
wiley   +2 more sources

A novel Z-number based multi-stage assessment framework for problem-based learning in practical courses. [PDF]

PLoS One
Yu L, Chen Z, Qin Z.
europepmc   +1 more source

Duality and ordinality in fuzzy measure theory

Duality and ordinality in fuzzy measure theory
identifier:oai:t2r2.star.titech.ac.jp ...
openaire  

Dimensions of the AI Divide: Digital Inequality and Psychological Consequences

AI &Innovation, EarlyView.
ABSTRACT Artificial intelligence (AI) has become a foundational component of contemporary social, economic, and political life. Yet, the ways in which AI reshapes patterns of exclusion beyond questions of access and technical capability remain insufficiently theorized.
Christos Papaioannou
wiley   +1 more source

Mechanochemistry Meets Catalysis: Metal Complexes for Greener Organic Transformations

Angewandte Chemie, EarlyView.
Mechanochemistry is redefining metal catalysis by controlling catalyst formulation, speciation, and deployment. This Review shows how milling, LAG, RAM, and TSE enable rapid metal‐complex assembly, distinctive catalytic manifolds, and scalable synthesis beyond solution chemistry.
Sourav Behera, Francesco Basoccu, Andrea Porcheddu   +2 more
wiley   +2 more sources

A multi-criteria approach to ESG-based portfolio optimization incorporating historical performance, forward-looking insights, and credibilistic CVaR: a case study on the DJIA. [PDF]

Sci Rep
Taheripour E, Sadjadi SJ, Amiri B.
europepmc   +1 more source

Analysis of Uncertainty Influence in the Design of Interval Type‐3 Fuzzy Controllers With Type‐3 Fuzzy Harmony Search: The Case of the Water Tank

AI &Innovation, EarlyView.
ABSTRACT Nonlinear control systems are an integral part of complex engineering systems. The main difference from linear systems is their ability to adapt to changes and unpredictable conditions. These systems exhibit behaviors that cannot be predicted by simple linear equations, making them essential for applications requiring precise control over a ...
Cinthia Peraza, Patricia Ochoa, Oscar Castillo, Patricia Melin   +3 more
wiley   +1 more source