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Towards Continuous Threat Defense: In-Network Traffic Analysis for IoT Gateways

• Authors : Zang, Mingyuan; Zheng, Changgang; Dittmann, Lars

• Source: Zang , M , Zheng , C , Dittmann , L & Zilberman , N 2024 , ' Towards Continuous Threat Defense: In-Network Traffic Analysis for IoT Gateways ' , IEEE Internet of Things Journal , vol. 11 , no. 6 ,

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FLOW-Alaiz benchmark for coupled terrain and array interaction flow models. Baseline Results

• Authors : Sanz Rodrigo, J.; Oxley, G.; Tobias Olsen, B.

• Source: Sanz Rodrigo , J , Oxley , G & Tobias Olsen , B 2024 , FLOW-Alaiz benchmark for coupled terrain and array interaction flow models. Baseline Results . in The Science of Making Torque from Wind (TORQUE

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An investigation of the contextual distribution of false positives in a deep learning-based atrial fibrillation detection algorithm

• Authors : Kumar, Devender; Puthusserypady, Sadasivan; Dominguez, Helena

Subjects: Arrhythmias; Atrial fibrillation (AF); Context-aware ECG

• Source: Kumar , D , Puthusserypady , S , Dominguez , H , Sharma , K & Bardram , J E 2023 , ' An investigation of the contextual distribution of false positives in a deep learning-based atrial fibrillation

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Towards Enhanced EEG-based Authentication with Motor Imagery Brain-Computer Interface

• Authors : Wu, Bingkun; Meng, Weizhi; Chiu, Wei-Yang

Subjects: EEG; Biometrics; Time Series Classification

• Source: Wu , B , Meng , W & Chiu , W-Y 2022 , Towards Enhanced EEG-based Authentication with Motor Imagery Brain-Computer Interface . in Proceedings of the 38 th Annual Computer Security Applications

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cyCombine allows for robust integration of single-cell cytometry datasets within and across technologies

• Authors : Pedersen, Christina Bligaard; Dam, Søren Helweg; Barnkob, Mike Bogetofte

• Source: Pedersen , C B , Dam , S H , Barnkob , M B , Leipold , M D , Purroy , N , Rassenti , L Z , Kipps , T J , Nguyen , J , Lederer , J A , Gohil , S H , Wu , C J & Olsen , L R 2022 , ' cyCombine allows for

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Joint segmentation of multiple sclerosis lesions and brain anatomy in mri scans of any contrast and resolution with CNNs

• Authors : Billot, Benjamin; Cerri, Stefano; Leemput, Koen Van

• Source: Billot , B , Cerri , S , Leemput , K V , Dalca , A V & Iglesias , J E 2021 , Joint segmentation of multiple sclerosis lesions and brain anatomy in mri scans of any contrast and resolution with CNNs .

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Automatic sleep stage classification with deep residual networks in a mixed-cohort setting

• Authors : Olesen, Alexander Neergaard; Jennum, Poul Jørgen; Mignot, Emmanuel

Subjects: Automatic sleep stage classification; Computational sleep science; Machine learning

• Source: Olesen , A N , Jennum , P J , Mignot , E & Sørensen , H B D 2021 , ' Automatic sleep stage classification with deep residual networks in a mixed-cohort setting ' , Sleep , vol. 44 , no. 1 , zsaa161 .

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