Leak detection and localization in water distribution networks by combining expert knowledge and data-driven models | 0 | 0.34 | 2022 |
A transfer-learning approach for corrosion prediction in pipeline infrastructures | 0 | 0.34 | 2022 |
Privacy-Preserving Deep Learning With Homomorphic Encryption: An Introduction | 0 | 0.34 | 2022 |
TinyML for UWB-radar based presence detection | 0 | 0.34 | 2022 |
Distributed Deep Convolutional Neural Networks for the Internet-of-Things | 0 | 0.34 | 2021 |
Adaptive Federated Learning in Presence of Concept Drift | 0 | 0.34 | 2021 |
Birdsong Detection at the Edge with Deep Learning | 0 | 0.34 | 2021 |
Incremental On-Device Tiny Machine Learning | 0 | 0.34 | 2020 |
An energy harvesting solution for computation offloading in Fog Computing networks | 1 | 0.35 | 2020 |
False Data Detection for Fog and Internet of Things Networks. | 0 | 0.34 | 2019 |
INDIANA: An interactive system for assisting database exploration. | 0 | 0.34 | 2019 |
Learning Discrete-Time Markov Chains Under Concept Drift. | 0 | 0.34 | 2019 |
Intelligent Cyber-Physical Systems for Industry 4.0 | 1 | 0.38 | 2018 |
A Cognitive Monitoring System for Detecting and Isolating Contaminants and Faults in Intelligent Buildings. | 1 | 0.35 | 2018 |
Moving convolutional neural networks to embedded systems: the alexnet and VGG-16 case. | 3 | 0.38 | 2018 |
An Ensemble Approach For Cognitive Fault Detection And Isolation In Sensor Networks | 5 | 0.40 | 2017 |
Model-Free Fault Detection and Isolation in Large-Scale Cyber-Physical Systems. | 5 | 0.41 | 2017 |
The (Not) Far-Away Path to Smart Cyber-Physical Systems: An Information-Centric Framework. | 2 | 0.37 | 2017 |
A spectrum-based adaptive sampling algorithm for smart sensing | 0 | 0.34 | 2017 |
Capacity Planning of Fog Computing Infrastructures for Smart Monitoring. | 0 | 0.34 | 2017 |
Learning In Nonstationary Environments: A Hybrid Approach | 1 | 0.36 | 2017 |
Hierarchical Change-Detection Tests. | 18 | 0.66 | 2017 |
Just-in-Time Adaptive Algorithm for Optimal Parameter Setting in 802.15.4 WSNs | 5 | 0.43 | 2016 |
A Cloud to the Ground: The New Frontier of Intelligent and Autonomous Networks of Things. | 8 | 0.54 | 2016 |
A CPM-Based Change Detection Test for Big Data. | 0 | 0.34 | 2016 |
Designing HMMs in the Age of Big Data. | 0 | 0.34 | 2016 |
Change Detection in Multivariate Datastreams: Likelihood and Detectability Loss | 4 | 0.44 | 2016 |
Database challenges for exploratory computing | 12 | 0.99 | 2015 |
Detecting Contaminants in Smart Buildings by Exploiting Temporal and Spatial Correlation | 1 | 0.37 | 2015 |
Exploratory Computing: What is there for the Database Researcher? | 1 | 0.40 | 2015 |
Learning in Nonstationary Environments: A Survey | 34 | 1.19 | 2015 |
A cognitive monitoring system for contaminant detection in intelligent buildings | 5 | 0.50 | 2014 |
A Self-Building and Cluster-Based Cognitive Fault Diagnosis System for Sensor Networks | 10 | 0.56 | 2014 |
RTI Goes Wild: Radio Tomographic Imaging for Outdoor People Detection and Localization. | 4 | 0.44 | 2014 |
Learning causal dependencies to etect and diagnose faults in sensor networks. | 0 | 0.34 | 2014 |
Exploiting self-similarity for change detection | 8 | 0.51 | 2014 |
A high-frequency sampling monitoring system for environmental and structural applications | 11 | 0.62 | 2013 |
A Hierarchy Of Change-Point Methods For Estimating The Time Instant Of Leakages In Water Distribution Networks | 2 | 0.44 | 2013 |
Ensembles of change-point methods to estimate the change point in residual sequences | 3 | 0.50 | 2013 |
A Cognitive Fault Diagnosis System for Distributed Sensor Networks | 21 | 1.09 | 2013 |
Model ensemble for an effective on-line reconstruction of missing data in sensor networks. | 5 | 0.52 | 2013 |
A learning-based algorithm for optimal mac parameters setting in IEEE 802.15.4 wireless sensor networks | 1 | 0.35 | 2013 |
Just-in-time ensemble of classifiers. | 6 | 0.47 | 2012 |
Netbrick: A high-performance, low-power hardware platform for wireless and hybrid sensor networks | 0 | 0.34 | 2012 |
A “learning from models” cognitive fault diagnosis system | 4 | 0.46 | 2012 |
Identifying network failure via detecting changes in power profile. | 1 | 0.39 | 2012 |
On-line reconstruction of missing data in sensor/actuator networks by exploiting temporal and spatial redundancy | 6 | 0.52 | 2012 |
An HMM-based change detection method for intelligent embedded sensors | 6 | 0.64 | 2012 |
A distributed self-adaptive nonparametric change-detection test for sensor/actuator networks | 1 | 0.38 | 2011 |
A just-in-time adaptive classification system based on the intersection of confidence intervals rule. | 15 | 0.84 | 2011 |