Results 61 to 70 of about 6,853 (246)
Transducers convert physical signals into electrical and optical representations, yet each mechanism is bounded by intrinsic trade‐offs across bandwidth, sensitivity, speed, and energy. This review maps transduction mechanisms across physical scale and frequency, showing how heterogeneous integration and multiphysics co‐design transform isolated ...
Aolei Xu +8 more
wiley +1 more source
STLP-OD: Spatial and Temporal Label Propagation for Traffic Outlier Detection
This paper focuses on the detection of non-recurrent traffic anomaly caused by unexpected or transient incidents, such as traffic accidents, celebrations, and disasters.
Juhua Pu +3 more
doaj +1 more source
The opto‐electronic response of polycrystalline (PEA)2PbBr4 thin films is investigated by correlating macroscopic photodetector performance with nanoscale mapping techniques. Grain boundary density is systematically tuned through crystallization control and linked to device responsivity.
Camilla Bordoni +10 more
wiley +1 more source
Geo‐spatial traffic behaviour analysis and anomaly detection for ITS applications
Understanding the behaviour of traffic participants within the geo‐spatial context of road/intersection topology is a vital prerequisite for any smart ITS application.
Erkut Akdag +6 more
doaj +1 more source
When Cubic is Not Isotropic: Phonon–Exciton Decoupling in CuInSnS4 Single Crystals
A cubic CuInSnS4 crystal does not fully play by cubic rules. While phonons follow the average iso‐tropic lattice symmetry, the disorder‐localized excitons break away, showing strong, and reproduci‐ble polarization‐dependent emission. This work shows how intrinsic cation disorder can turn a mac‐roscopically cubic material into a source of hidden ...
Lara Kim Linke +11 more
wiley +1 more source
TGU-Net: A Temporal Generative U-Net Framework for Real-Time Traffic Anomaly Detection
Traffic anomaly detection plays a crucial role in improving road safety and enabling timely responses to abnormal events. Recent research has explored generative and predictive models to enhance detection accuracy; however, the dynamic and complex nature
Borja Pérez +3 more
doaj +1 more source
Pak Biawak, a necrobot, embodies an unusual fusion of biology and robotics. Designed to repurpose natural structures after death, it challenges conventional boundaries between nature and engineering. Its movements are precise yet unsettling, raising questions about sustainability, ethics, and the untapped potential of biointegrated machines.
Leo Foulds +2 more
wiley +1 more source
CAD: Command-Level Anomaly Detection for Vehicle-Road Collaborative Charging Network
A large number of charging piles installed on roadside parking spaces and smart poles on the roadside of the Internet have become essential substation infrastructure (roadside) for building a vehicle-road coordinated charging network for electric ...
Qianmu Li +4 more
doaj +1 more source
Machine‐Learning Microfluidic Minute‐Scale Microorganism Metrics Monitoring(M6)
ABSTRACT On‐site monitoring of microorganisms remains challenging because of low concentrations, strong background interference, and dynamic aerosol diffusion, particularly for aerosol‐transmitted pathogens. Here, we report a rapid detection platform that integrates a Puri‐focusing microfluidic chip, electrochemical impedance spectroscopy (EIS), and ...
Ning Yang +14 more
wiley +1 more source
An Integrated NLP‐ML Framework for Property Prediction and Design of Steels
This study presents a data‐driven framework that uses language‐processing techniques to interpret steel processing descriptions and machine‐learning models to predict mechanical properties. By organising complex process histories into meaningful groups and enabling rapid property forecasts, the work supports faster, more informed steel design through ...
Kiran Devraju +5 more
wiley +1 more source

