Results 31 to 40 of about 16,477 (251)

Streaming-Based Anomaly Detection in ITS Messages

Applied Sciences, 2023
Intelligent transportation systems (ITS) enhance safety, comfort, transport efficiency, and environmental conservation by allowing vehicles to communicate wirelessly with other vehicles and road infrastructure.
Juliet Chebet Moso, Stéphane Cormier, Cyril de Runz, Hacène Fouchal, John Mwangi Wandeto   +4 more
doaj   +1 more source

A methionine‐lined active site governs carbocation stabilization and product specificity in a bacterial terpene synthase

FEBS Letters, EarlyView.
This study reveals a unique active site enriched in methionine residues and demonstrates that these residues play a critical role by stabilizing carbocation intermediates through novel sulfur–cation interactions. Structure‐guided mutagenesis further revealed variants with significantly altered product profiles, enhancing pseudopterosin formation. These
Marion Ringel, Carl P. O. Helmer, Shani Zev, Ronja Driller, Emily Buhr, Markus Reinbold, Renana Schwartz, Gabriel Foley, Mikael Boden, Daniel Garbe, Gerhard Schenk, Dan Thomas Major, Bernhard Loll, Thomas Brück   +13 more
wiley   +1 more source

A Novel Method for Road Anomaly Objects Detection in the Traffic Environment With Multi-Mechanism Fusion

IEEE Access
In the modern automotive industry, Advanced Driving Assistance Systems (ADAS) have gradually become a standard feature in various types of vehicles, with the important function of detecting road anomalies.
Wenyan Ci, Jiayin Xuan, Runze Lin, Shan Lu   +3 more
doaj   +1 more source

Elinvar Materials: Recent Progress and Challenges

Advanced Engineering Materials, EarlyView.
Elinvar materials, exhibiting temperature‐invariant elastic modulus, are critical for precision instruments and emerging technologies. This article reviews recent progress in the field, with a focus on the anomalous thermoelastic behavior observed in key material systems.
Wenjie Li, Yang Ren
wiley   +1 more source

Electrical Conductivities of Conductors, Semiconductors, and Their Mixtures at Elevated Temperatures

Advanced Engineering Materials, EarlyView.
This article presents a comprehensive review of temperature‐dependent electrical conductivity data for multiple material classes at elevated temperatures, highlighting a persistent conductivity gap between metals and semiconductors in the range of 102$\left(10\right)^{2}$– 107$\left(10\right)^{7}$ S/m. Metal–ceramic irregular metamaterials are proposed
Valentina Torres Nieto, Marcia A. Cooper
wiley   +1 more source

Anomaly Detection in Roads with a Data Mining Approach

Procedia Computer Science, 2017
Road condition has an important role in our daily live. Anomalies in road surface can cause accidents, mechanical failure, stress and discomfort in drivers and passengers. Governments spend millions each year in roads maintenance for maintaining roads in good condition.
Silva, Nuno Alberto Ribeiro, Soares, João Paulo Conceição, Shah, Vaibhav, Santos, Maribel Yasmina, Rodrigues, Helena   +4 more
openaire   +2 more sources

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

Advanced 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, Yingshan Ma, Yong Nam An, Sung‐Un An, Hyeon Hak Jung, Suvi‐Tuuli Varjamo, Jiwon Yoo, Junho Min, Hanvit Kim, Faisal Ahmed, Sang Hoon Chae, Young Min Song, Weiwei Cai, Tawfique Hasan, Zhipei Sun, Dong‐Ho Kang, Hyeon‐Jin Shin, Yunyun Dai, Hoon Hahn Yoon   +18 more
wiley   +1 more source

Anomalies-by-Synthesis: Anomaly Detection using Generative Diffusion Models for Off-Road Navigation

2025 IEEE International Conference on Robotics and Automation (ICRA)
In order to navigate safely and reliably in off-road and unstructured environments, robots must detect anomalies that are out-of-distribution (OOD) with respect to the training data. We present an analysis-by-synthesis approach for pixel-wise anomaly detection without making any assumptions about the nature of OOD data.
Ancha, Siddharth, Jiang, Sunshine, Manderson, Travis, Brandt, Laura, Du, Yilun, Osteen, Philip R., Roy, Nicholas   +6 more
openaire   +2 more sources

Detecting Anomalies and Obstacles in Road Scenes

, 2023
We address the problem of segmenting anomalies and unusual obstacles in road scenes for the purpose of self-driving safety. The objects in question are not present in the common training sets as it is not feasible to collect and annotate examples for every possible danger on the road.
openaire   +1 more source

Switchable Thermal Mid‐IR Conducting Polymer Antenna Arrays

Advanced 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, Mohammad Shaad Ansari, Suraya Kazi, Dongqing Lin, Alexander Yu Polyakov, Magnus P. Jonsson   +5 more
wiley   +1 more source