Results 231 to 240 of about 119,349 (309)

Visual and Visual‐Inertial SLAM Based on Enhanced Deep Learning Features and Motion Smoothness Constraints

open access: yesAdvanced Intelligent Systems, EarlyView.
A visual and visual‐inertial simultaneous localization and mapping (SLAM) algorithm, leveraging enhanced deep learning features and motion smoothness constraints, is proposed in this research work. This method retains the advantages of geometry‐based SLAM methods while effectively utilizing the powerful representational capabilities of data‐driven ...
Maosheng Jiang   +3 more
wiley   +1 more source

Toxicological Evaluation of Vanillin Flavor in E-Liquid Aerosols on Endothelial Cell Function: Findings from the Replica Project. [PDF]

open access: yesCardiovasc Toxicol
Emma R   +18 more
europepmc   +1 more source

System Identification of Robotic Fish Swimming Reveals Roles of Reactive and Resistive Fluid Force in Two Distinct Swimming Gaits

open access: yesAdvanced Intelligent Systems, EarlyView.
System identification and particle image velocimetry reveal how a modular robotic fish changes thrust physics across gaits. A traveling‐wave, fish‐like motion draws thrust from resistive drag, while a resonant standing‐wave motion is driven by reactive pressure.
Donghao Li   +4 more
wiley   +1 more source

Retraction Note: Combination of alpha-synuclein immunotherapy with anti-inflammatory treatment in a transgenic mouse model of multiple system atrophy. [PDF]

open access: yesActa Neuropathol Commun
Valera E   +8 more
europepmc   +1 more source

Electric Vehicles as Grid Resources: Barriers to Vehicle-to-Grid (V2G) in the United States

open access: yesUtilities Policy
Crystal Soderman   +3 more
openaire   +1 more source

Driver Behavior Modeling with Subjective Risk‐Driven Inverse Reinforcement Learning

open access: yesAdvanced 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

Talk to Your Data: An Agentic Artificial Intelligence‐Driven Decision‐Support Framework for Prosumer Energy Optimization and Recommendations

open access: yesAdvanced Intelligent Systems, EarlyView.
An agentic AI‐driven decision‐support framework for prosumers is proposed, integrating PV generation, load profiling, and multihorizon optimization within a four‐agent architecture. The approach significantly reduces grid dependence, enhances self‐sufficiency and prevents system oversizing.
Adela BÂRA, Simona‐Vasilica OPREA
wiley   +1 more source

Home - About - Disclaimer - Privacy