Results 221 to 230 of about 151,158 (307)

Lidar‐Based Object Tracking of Traffic Participants with Sensor Nodes in Existing Urban Infrastructure

Advanced Intelligent Systems, EarlyView.
This paper presents a lidar‐based sensor node design and a rule‐based state observer for edge‐based traffic participant tracking. Unlike other state‐of‐the‐art methods, this state observer enables real‐time, CPU‐only edge processing without relying on machine learning approaches.
Simon Schäfer, Bassam Alrifaee, Ehsan Hashemi   +2 more
wiley   +1 more source

ANALYZING DYNAMIC FAULT TREES DERIVED FROM MODEL-BASED SYSTEM ARCHITECTURES

, 2008
Josh Dehlinger, Joanne Bechta Dugan
core   +1 more source

Machine learning driven reservoir property modeling of the AEB-3E reservoir in the Berenice field Egypt. [PDF]

Sci Rep
Eid AM, Mabrouk WM, Amer M, Metwally A.
europepmc   +1 more source

Retinal Vessel Segmentation: A Comprehensive Review From Classical Methods to Deep Learning Advances (1982–2025)

Advanced Intelligent Systems, EarlyView.
Four decades of retinal vessel segmentation research (1982–2025) are synthesized, spanning classical image processing, machine learning, and deep learning paradigms. A meta‐analysis of 428 studies establishes a unified taxonomy and highlights performance trends, generalization capabilities, and clinical relevance.
Avinash Bansal, Jan Kubíček, Jana Bahrová, Alice Varyšová, Martin Augustýnek, Marek Penhaker, Juraj Timkovič   +6 more
wiley   +1 more source

An LSTM architecture for real-time multi-domain stability boundary prediction beyond post-fault dependency in power systems. [PDF]

Sci Rep
Shahriyari M, Safari A, Quteishat A, Afsharirad H.   +3 more
europepmc   +1 more source

Collaborative Visual Localization for Modular Self‐Reconfigurable Robots

Advanced Intelligent Systems, EarlyView.
Relative localization in modular self‐reconfigurable robots is challenged by hardware limitations, constrained fields of view, and sensor faults. This paper, based on the SnailBot platform, presents a vision‐based collaborative localization method that combines ArUco markers with learning‐based algorithms to enable robust pose estimation from ...
Guanqi Liang, Rong Ou, Peiqi Wang, Xianghong Wang, Tin Lun Lam   +4 more
wiley   +1 more source

A new Bayesian network approach to solve dynamic fault trees

, 2005
J.B. Dugan, H. Boudali
core   +1 more source

Machine learning predicts meter-scale laboratory earthquakes. [PDF]

Nat Commun
Norisugi R, Kaneko Y, Rouet-Leduc B.
europepmc   +1 more source

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

Advanced 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, Lei Ma, Muhua Zhang, Kai Shen   +3 more
wiley   +1 more source

Low-Cost IoT-Based Predictive Maintenance Using Vibration. [PDF]

Sensors (Basel)
Kolok P, Hodoň M, Ševčík P, Hotz L, Remy N.   +4 more
europepmc   +1 more source