Results 61 to 70 of about 6,106 (203)

SED-NET: Real-Time Suspicious Event Detection via Deep Learning-Based Di-Stream Neural Network

International Journal of Computational Intelligence Systems
Suspicious event detection (SED) identifies anomalous activities in surveillance data using computer vision and machine learning techniques. However, existing approaches have high false positive rates difficulty distinguishing suspicious from normal ...
D. Siva Senthil, T. S. Sivarani
doaj   +1 more source

Adapting an Anomalous Noise Events Detectorfor Real-Life Operation in the Rome SuburbanPilot Area of the DYNAMAP’s Project

, 2020
The DYNAMAP project is aimed at implementing a dynamic noise mapping system able to determine the acoustic impact of road infrastructures in real-time, encouraged by the European Noise Directive 2002/49/EC. The noise maps are updated using the information retrieved from a low-cost Wireless Acoustic Sensor Network (WASN) deployed in two pilot areas: in ...
Socoró, Joan Claudi, Alsina-Pagès, Rosa Ma, Alías-Pujol, Francesc, Orga, Ferran   +3 more
openaire   +1 more source

Strong Coupling in all‐Polymer Planar Microcavities

Advanced Optical Materials, EarlyView.
Strong Coupling has been achieved in an all‐polymer microcavity with dielectric contrast Δn = 0.33 doped with TDBC. A Rabi splitting of 39 meV has been measured opening novel perspectives for polymer photonics. ABSTRACT In this work, strong coupling effect is observed in all‐polymer planar microcavities incorporating TDBC J‐aggregates dispersed into ...
Daniela Di Fonzo, Andrea Lanfranchi, Giovanni Manfredi, Maddalena Patrini, Paola Lova, Davide Comoretto   +5 more
wiley   +1 more source

Anomaly Detection and Radio-frequency Interference Classification with Unsupervised Learning in Narrowband Radio Technosignature Searches

The Astronomical Journal
The search for radio technosignatures is an anomaly detection problem: Candidate signals represent needles of interest in the proverbial haystack of radio-frequency interference (RFI). Current search frameworks find an enormity of false-positive signals,
Ben Jacobson-Bell, Steve Croft, Carmen Choza, Alex Andersson, Daniel Bautista, Vishal Gajjar, Matthew Lebofsky, David H. E. MacMahon, Caleb Painter, Andrew P. V. Siemion   +9 more
doaj   +1 more source

Polarization-Based Fiber Optic System for Debris Flow Early Warning: On-Field Demonstration

IEEE Photonics Journal
Naturally occurring mass transport events can endanger human life and infrastructure integrity, especially in mountain areas often affected by landslides, debris flows, and avalanches.
Saverio Pellegrini, Giuseppe Rizzelli, Marco Barla, Roberto Gaudino   +3 more
doaj   +1 more source

Intelligent Maintenance Review for Robots: Multimodal Information, Deep Diagnosis and Embodied Artificial Intelligence

Advanced Robotics Research, EarlyView.
This review maps the methods to monitor robots’ health by fusing vibration, sound, control signals, vision, force, and oil information with artificial intelligence. It identifies deep learning, transfer learning, digital twins, and physics‐informed models as key methodological pathways enabling earlier diagnosis, safer human–robot collaboration, and ...
Yuting Qiao, Hongbo Wang, Naipeng Li, Shuo Wang, Yaguo Lei, Tonghai Wu, Junyi Cao   +6 more
wiley   +1 more source

Time‐Multiplexed Organic Electrochemical Transistor for Saliva‐Based Rapid Detection of Viral Proteins

Advanced Science, EarlyView.
A time‐multiplexed nanobody‐functionalized organic electrochemical transistor enables rapid and sensitive detection of three respiratory viral proteins from saliva. Sequentially addressed multi‐gate electrodes on a shared channel achieve around 1 fm detection within 15 min without sample preprocessing. Clinical validation demonstrates high specificity,
Tianrui Chang, Yuxiang Ren, Shofarul Wustoni, Atheer Alqatari, Adel Hama, Yazhou Wang, Long Chen, Jessica Parrado Agudelo, Luca Salvigni, Keying Guo, Ashraf Dada, Stefan T. Arold, Raik Grünberg, Sahika Inal   +13 more
wiley   +1 more source

Single‐Cell Dissection of Therapy‐Induced Remodeling Uncovers a Fibroblast‐Driven Immunosuppressive Niche and Targetable Vulnerabilities in Lethal Prostate Cancer

Advanced Science, EarlyView.
Single‐cell longitudinal profiling reveals that androgen‐deprivation therapy induces a DPT+ fibroblast‐complement axis that suppresses macrophage inflammation and drives CD8+ T cell exhaustion in prostate cancer. Concurrently, resistant epithelial subpopulations persist and engage TSPAN1‐ and NRXN1‐mediated programs promoting CRPC and neuroendocrine ...
Yang Chen, Dandan Dong, Jinling Liao, Naikai Liao, Mengqi Liu, Qin Zhang, Siting Chen, Qi Liu, Ying Lu, Tianyu Li, Chunlin Zou, Qiong Song, Qiuyan Wang, Jian Liang, Qiji Xie, Chengyang Li, Mengyun Wang, Jiwen Cheng, Zengnan Mo, Gong‐Hong Wei   +19 more
wiley   +1 more source

An Integrated NLP‐ML Framework for Property Prediction and Design of Steels

Advanced Science, EarlyView.
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, Adithya Umanath Rai, Jose Thomson, Marzie Ghorbani, Shujing Zhao, Nick Birbilis   +5 more
wiley   +1 more source

ML Workflows for Screening Degradation‐Relevant Properties of Forever Chemicals

Advanced Science, EarlyView.
The environmental persistence of per‐ and polyfluoroalkyl substances (PFAS) necessitates efficient remediation strategies. This study presents physics‐informed machine learning workflows that accurately predict critical degradation properties, including bond dissociation energies and polarizability.
Pranoy Ray, Andrew R. Castillo, Manoj Kolel‐Veetil, Surya R. Kalidindi   +3 more
wiley   +1 more source