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GPS spoofing detection via crowd-sourced information for connected vehicles
Published 2022“…Alternative solutions in the literature rely on the cross-check of the received signal with information coming from additional sources. However, such proposals are typically limited to a single source, are rarely supported by experimental results, and do not provide insights on the impact of several parameters, such as detection accuracy, time, false-positives, and robustness to malicious information. …”
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Long-Term Outcomes After Single-Balloon Enteroscopy in Patients with Obscure Gastrointestinal Bleeding
Published 2013“…Background Limited data exists on the long-term outcomes of patients with obscure gastrointestinal bleeding (OGIB) following single-balloon enteroscopy (SBE). …”
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Decision-level fusion for single-view gait recognition with various carrying and clothing conditions
Published 2017“…Such a system is needed in access control applications whereby a single view is imposed by the system setup. The gait data is firstly processed using three gait representation methods as the features sources; Accumulated Prediction Image (API) and two new gait representations namely; Accumulated Flow Image (AFI) and Edge-Masked Active Energy Image (EMAEI). …”
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RHEEMix in the data jungle: a cost-based optimizer for cross-platform systems.
Published 2020“…<p dir="ltr">Data analytics are moving beyond the limits of a single platform. …”
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Artificial intelligence-based methods for fusion of electronic health records and imaging data
Published 2022“…Combining these multimodal data sources contributes to a better understanding of human health and provides optimal personalized healthcare. …”
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Long Term HbA1c Prediction Using Multi-Stage CGM Data Analysis
Published 2021“…Thus, in the paper, a novel missing data estimation method has been proposed for a single data point, multiple data points, and entire day CGM data imputation. …”
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Domain Adaptation with Adversarial Training and Graph Embeddings
Published 2018“…In such scenarios, a DNN model can leverage labeled and unlabeled data from a related domain, but it has to deal with the shift in data distributions between the source and the target domains. …”
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Self-DSNet: A Novel Self-ONNs Based Deep Learning Framework for Multimodal Driving Distraction Detection
Published 2025“…The model was evaluated using both single-modality and combined-modality data, focusing on binary classification to distinguish between distracted and non-distracted driving states. …”
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Multimodal Learning Techniques for Time Series Forecasting in Renewable Energy Systems: A Comprehensive Survey
Published 2025“…<p dir="ltr">Renewable energy systems, such as solar, wind, and hybrid sources, present complex forecasting challenges due to their stochastic and weather-dependent nature. …”
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Fine-Tuned RNN-Based Detector for Electricity Theft Attacks in Smart Grid Generation Domain
Published 2022“…In this article, we propose approaches that rely on data sources with only a single generator (i.e., solar only) and multifuel type; and address the crucial effects of slight perturbations that the attacker can add, which can deceive the detector. …”
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Multi-agent reinforcement learning for privacy-aware distributed CNN in heterogeneous IoT surveillance systems
Published 2024“…Furthermore, the system is composed of heterogeneous data-sources represented by different <u>DNN models</u> that wish to execute classifications without exposing their data and models. …”
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A Decentralised Public Key Infrastructure for X-Road
Published 2023“…X-Road is an open-source solution that acts as a data exchange layer and enables secure data exchange between organisations. …”
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Analysing Satellite Imagery Classification under Spatial Domain Shift across Geographic Regions
Published 2025“…Domain Generalisation (DG) aims to bridge the distribution shift between the source and target domains by improving the generalisability of the model to Out-Of-Distribution (OOD) data. …”
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Novel Peak Detection Algorithms for Pileup Minimization in Gamma Ray Spectroscopy
Published 2006“…The set-up was also tested with random signals from a 137Cs test source. Gamma pulses from a 3" Na(TI) scintillation detector were captured as single and double pulses for the purpose of testing the peak detection algorithms. …”
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Characterization of slag fines for use as a dredged material amendment
Published 2017“…The following geotechnical parameters are evaluated: soil classification and grain size distribution, specific gravity, loss on ignition (ash content), standard and modified Proctor compaction behavior, and direct shear strength. These data were used to select one source of slag fines for full project rollout.…”
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