Results 171 to 180 of about 99,429 (309)

Personalized Federated Actor-Critic Learning for Joint Cost-Comfort Optimization in Energy Communities. [PDF]

Sensors (Basel)
Spantideas S, Giannopoulos A.
europepmc   +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

Joint Household Characteristic Prediction via Smart Meter Data

, 2019
Predicting specific household characteristics (e.g., age of person, household income, cooking style, etc) from their everyday electricity consumption (i.e., smart meter data) enables energy provider to develop many intelligent business applications or ...
Hou DD(侯冬冬), Xu XW(徐晓伟), Sun G(孙干), Yu HB(于海斌), Fan HJ(范慧杰), Cong Y(丛杨)   +5 more
core  

Smart Livestock: A Federated Learning Based System for Real-Time Cattle Health, Stress and Water Resource Monitoring. [PDF]

Vet Med Sci
Gulati V, Grover R, Kumar N, Jindal P, Shaheen M.   +4 more
europepmc   +1 more source

An On‐Demand Neuromorphic Vision System Enabled by a Multi‐Paradigm Neuromorphic Device and Hierarchical Reconfigurability Designed from Device to System Level

Advanced Science, EarlyView.
An on‐demand ultra‐reconfigurable intelligent vision system with hierarchical reconfigurability from device to system levels is demonstrated. Through co‐design of a multi‐paradigm device, reconfigurable circuits, and adaptive system architecture/algorithms, the system enables seamless switching among spiking, non‐spiking, neuromorphic imaging (NI), and
Biyi Jiang, Jiayi Xu, Liang Ran, Xinhe Feng, Khalil Harrabi, Yida Li, Longyang Lin, Feichi Zhou   +7 more
wiley   +1 more source

An explainable multi-backbone deep feature fusion framework for intelligent surveillance and citizen safety in smart city ecosystems. [PDF]

Front Artif Intell
Zhukabayeva T, Ahmad Z, Satybaldina D, Yedilkhan D.   +3 more
europepmc   +1 more source

Nanoscale Spatial Organization of ARC High‐ and Low‐Order Assemblies at Excitatory Synapses

Advanced Science, EarlyView.
ARC (Activity‐Regulated Cytoskeleton‐Associated protein) mediates synaptic plasticity by forming nanoscale assemblies in neurons. Using super‐resolution microscopy and time‐resolved anisotropy with targeted tagging, the study reveals low‐order ARC assemblies at synapses colocalizing with AMPARs, semi‐circular structures at endocytic zones, and 60–80 nm
Martina Damenti, Giovanna Coceano, Mariline Mendes Silva, Jonatan Alvelid, Chiara Sgattoni, Andrea Volpato, Lea Rems, Luciano A. Masullo, Eduard M. Unterauer, Rafal Kowalewski, Lucie Delemotte, Erdinc Sezgin, Ralf Jungmann, Ilaria Testa   +13 more
wiley   +1 more source

Extended Memory, the Extended Mind, and the Nature of Technology-Mediated Memory Enhancement

, 2010
Human memory is a key focus of scientific and theoretical attention within a range of disciplines, and it is also an important target of efforts that seek to improve aspects of human cognitive function. The phenomenon of memory is also something that has
Smart, Paul
core  

Multiple sources and student engagement in the smart classroom: the mediating role of foreign language enjoyment under control-value theory. [PDF]

Front Psychol
Wu J.
europepmc   +1 more source

Smart deep learning model for enhanced IoT intrusion detection

Scientific Reports
Growing volumes and sensitivities of information in the growing IoT require strong cybersecurity measures to adequately counter increasingly sophisticated cyberattacks. Machine learning-based anomaly detection has the potential to be a viable solution through abnormal network traffic behavior identification that foretells intrusions.
openaire   +2 more sources