Results 51 to 60 of about 54,278 (285)

Urban Road Anomaly Monitoring Using Vision–Language Models for Enhanced Safety Management

open access: yesApplied Sciences
Abnormal phenomena on urban roads, including uneven surfaces, garbage, traffic congestion, floods, fallen trees, fires, and traffic accidents, present significant risks to public safety and infrastructure, necessitating real-time monitoring and early ...
Hanyu Ding, Yawei Du, Zhengyu Xia
doaj   +1 more source

Detection of Road Potholes by Applying Convolutional Neural Network Method Based on Road Vibration Data

open access: yesSensors, 2023
In the context of road transportation, detecting road surface irregularities, particularly potholes, is of paramount importance due to their implications for driving comfort, transportation costs, and potential accidents.
Furkan Ozoglu, Türkay Gökgöz
doaj   +1 more source

Two‐Dimensional Materials as a Multiproperty Sensing Platform

open access: yesAdvanced Functional Materials, EarlyView.
Various sensing modalities enabled and/or enhanced by two‐dimensional (2D) materials are reviewed. The domains considered for sensing include: 1) optoelectronics, 2) quantum defects, 3) scanning probe microscopy, 4) nanomechanics, and 5) bio‐ and chemosensing.
Dipankar Jana   +11 more
wiley   +1 more source

Performance Evaluation of You Only Look Once v4 in Road Anomaly Detection and Visual Simultaneous Localisation and Mapping for Autonomous Vehicles

open access: yesWorld Electric Vehicle Journal, 2023
The proliferation of autonomous vehicles (AVs) emphasises the pressing need to navigate challenging road networks riddled with anomalies like unapproved speed bumps, potholes, and other hazardous conditions, particularly in low- and middle-income ...
Jibril Abdullahi Bala   +2 more
doaj   +1 more source

TSE-IDS: A Two-Stage Classifier Ensemble for Intelligent Anomaly-based Intrusion Detection System [PDF]

open access: yes, 2019
Intrusion detection systems (IDS) play a pivotal role in computer security by discovering and repealing malicious activities in computer networks. Anomaly-based IDS, in particular, rely on classification models trained using historical data to discover ...
Comuzzi, Marco   +2 more
core   +1 more source

Spectrally Tunable 2D Material‐Based Infrared Photodetectors for Intelligent Optoelectronics

open access: yesAdvanced Functional Materials, EarlyView.
Intelligent optoelectronics through spectral engineering of 2D material‐based infrared photodetectors. Abstract The evolution of intelligent optoelectronic systems is driven by artificial intelligence (AI). However, their practical realization hinges on the ability to dynamically capture and process optical signals across a broad infrared (IR) spectrum.
Junheon Ha   +18 more
wiley   +1 more source

Diagnosing urban traffic anomalies by integrating geographic knowledge and tensor theory

open access: yesGIScience & Remote Sensing
Urban traffic anomaly diagnosis is crucial for urban road management and smart city construction. Most existing methods perform anomaly detection from a data-driven perspective and ignore the unique spatiotemporal characteristics of traffic anomalies ...
Zilong Zhao   +5 more
doaj   +1 more source

A stigmergy-based analysis of city hotspots to discover trends and anomalies in urban transportation usage

open access: yes, 2018
A key aspect of a sustainable urban transportation system is the effectiveness of transportation policies. To be effective, a policy has to consider a broad range of elements, such as pollution emission, traffic flow, and human mobility.
Alfeo, Antonio L.   +4 more
core   +1 more source

Switchable Thermal Mid‐IR Conducting Polymer Antenna Arrays

open access: yesAdvanced Functional Materials, EarlyView.
This study presents switchable mid‐infrared plasmonic resonances in PEDOT antenna arrays. Their optical extinction peaks can be reversibly switched ‘OFF’ and ‘ON’ by tuning the polaronic charge carrier concentration via the polymer's redox state, offering modulation of optical responses in the thermal mid‐infrared range including around 10 µm ...
Pravallika Bandaru   +5 more
wiley   +1 more source

AVD-YOLO: Active Vision-Driven Multi-Scale Feature Extraction for Enhanced Road Anomaly Detection

open access: yesInformation
Deficiencies in road anomaly detection systems precipitate multifaceted risks, including elevated collision probabilities from unidentified hazards, compromised traffic flow efficiency, and exponential maintenance costs.
Minhong Jin   +4 more
doaj   +1 more source

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