Results 121 to 130 of about 6,106 (203)

Asymmetric Whisker‐Inspired Sensor Pairs for Enhanced Airflow Sensing on Drones

Advanced Intelligent Systems, EarlyView.
This work incorporates asymmetric cross‐sections into a whisker‐inspired sensor pair to enhance airflow sensing. By comparing signals between two offset asymmetric whiskers, the system improves flow heading estimation and identifies the presence of fan‐generated wind during quadrotor flight.
Teresa A. Kent, Lenworth Thomas, Mitra J. Hartmann, Sarah Bergbreiter   +3 more
wiley   +1 more source

Earthquake Early Warning System for Izmir, Western Anatolia, Türkiye Based on Multi-Station Similarity Analysis and Real-Time Seismic Data Processing. [PDF]

Sensors (Basel)
Doğan Y, Başbuğ A, Semirgin F, Kaya YE, Çınar O, Sözbilir H, Özdağ ÖC, Yılmaz R, Kut A, Tamer Ö, Çakır R, Utku M, Özçelik Ö, Softa M.   +13 more
europepmc   +1 more source

Interpretable Short‐Term Electric Load Forecasting

Advanced Intelligent Systems, EarlyView.
A temporal fusion transformer is implemented to generate day‐ahead forecasts of the hourly electrical load of a departmentbuilding at an Italian university. A forecasting performance improvement of more than 25% compared with established benchmark models and a provision of inherent robust interpretability insights reveal the potential of this model for
Alessandro Nicola, Giorgia Ghione, Vincenzo Randazzo, Vincenzo Franzitta, Marco Badami, Eros Pasero, Giansalvo Cirrincione   +6 more
wiley   +1 more source

Proteome‐Wide Target Identification Using Reactive Metallo‐Scaffolds (r‐mS): A Platform for Metallodrug Discovery

Angewandte Chemie, EarlyView.
Re‐envisioning the Ligandable Proteome: Reactive Metallo‐Scaffolds (r‐mS) combine non‐covalent protein engagement by a metallo‐scaffold with covalent cysteine capture through a tethered chloroacetamide warhead. Chemoproteomic profiling reveals unique enzyme engagement including ligases, kinases and methyltransferases, highlighting opportunities for ...
Jessica E. Waters, Harry Wilders, George S. Biggs, Mika Kintzel, Emma E. Cawood, Jonathan Bailey, Sarah Maslen, Yew Mun Yip, Mason Wakley, Ioannis G. Riziotis, Thomas W. Rees, Joanna Redmond, J. Mark Skehel, David House, Jacob Bush, Jeannine Hess   +15 more
wiley   +2 more sources

Dual-Branch Graph Learning with Frequency Gating for Industrial Sensor Anomaly and Cyberattack Detection. [PDF]

Sensors (Basel)
Zhao T, Yang W, Yao Y.
europepmc   +1 more source

Ultralow‐Power Floating‐Gate InGaZnO Content‐Addressable Memory for Wearable Electrocardiogram Anomaly Detection

Advanced Intelligent Systems, EarlyView.
This study introduces a subthreshold in‐memory anomaly detection architecture for wearable ECG monitoring using floating‐gate IGZO content‐addressable memories on a flexible substrate. Area‐engineered coupling provides a high subthreshold slope, while subthreshold operation realizes intrinsic exponential distance evaluation and linear voltage sensing ...
Hyung‐Jun Noh, Sunyeol Bae, Yumin Yun, Junhyeong Park, Soo‐Yeon Lee   +4 more
wiley   +1 more source

A Cross-Modal Temporal Alignment Framework for Artificial Intelligence-Driven Sensing in Multilingual Risk Monitoring. [PDF]

Sensors (Basel)
Sun H, Zhang J, Hong W, Fang Y, Ma M, Shi K, Li M.   +6 more
europepmc   +1 more source

A Language‐Guided Multimodal Foundation Model for Zero‐Shot and Multi‐Task Brain Signal Analysis

Advanced Intelligent Systems, EarlyView.
METIS aligns brain signals with natural‐language instructions to enable zero‐shot and multi‐task brain signal analysis. Pretrained on over 70 000 h of EEG and iEEG recordings, it generalizes across sleep stage classification, epilepsy detection, and neurological disorder diagnosis, providing a scalable foundation model for clinically meaningful brain ...
Mingzhi Chen, Yiyu Gui, Guibo Luo, Yuchao Yang   +3 more
wiley   +1 more source

Unmasking speed curve anomalies in team sports: a practical guideline for data treatment and interpretation. [PDF]

Front Sports Act Living
Marcelino R, Silva H.
europepmc   +1 more source

AI‐Assisted IoT‐Enabled ECG Monitoring: Integrating Foundational and Generative AI Tools for Sustainable Smart Healthcare—Recent Trends

AI &Innovation, EarlyView.
ABSTRACT The rapid evolution of the Internet of Things (IoT) has significantly advanced the field of electrocardiogram (ECG) monitoring, enabling real‐time, remote, and patient‐centric cardiac care. This paper presents a comprehensive survey of AI assisted IoT‐based ECG monitoring systems, focusing on the integration of emerging technologies such as ...
Amrita Choudhury, Kandarpa Kumar Sarma, Lachit Dutta   +2 more
wiley   +1 more source