Semantic modeling of cell damage prediction: A machine learning approach at human-level performance in dermatology
In this work we investigate cell damage in whole slice images of the epidermis. A common way for pathologists to annotate a score, characterising the degree of damage for these samples, is the ratio between healthy and unhealthy nuclei. The...
Uniform Analysis of Multipath Components From Various Scenarios With Time-Domain Channel Sounding at 300GHz
For the first time, channel measurements at 300 GHz from various environments and different measurement systems are jointly analyzed and published.
Telepresence for surgical assistance and training using eXtended reality during and after pandemic periods
Existing challenges in surgical education (See one, do one, teach one) as well as the COVID-19 pandemic make it necessary to develop new ways for surgical training. This work describes the implementation of a scalable remote solution called...
FedAUXfdp: Differentially Private One-Shot Federated Distillation
Federated learning suffers in the case of non-iid local datasets, i.e., when the distributions of the clients’ data are heterogeneous. One promising approach to this challenge is the recently proposed method FedAUX. This work presents a fully...
Coherent LiDAR with 2D quasi-static MEMS mirror scanning
Coherent LiDAR concepts for automotive applications are of increasing interest due to their superior performance, especially at longer range. Here, MEMS mirrors can be used as a compact scanning device. We demonstrate the operation of such a...
Real-Time Sub-THz Link Enabled Purely by Optoelectronics: 90–310 GHz Seamless Operation
A photonics-enabled sub-THz wireless link operating in real-time settings, using a PIN-PD-based THz emitter, and a THz receiver based on an ultra-fast photoconductor is demonstrated. The real-time generation and detection of the information...
Microwave Photonic ps-Pulse and 140 GHz RF Comb Generator
A microwave photonic RF comb generator is presented by combining an fs-pulse laser and a high-speed broadband photodetector module. The subsystem generates pulses with a FWHM of 5.8 ps and a flat RF comb up to 140 GHz. Furthermore, the...
System for 3D Acquisition and 3D Reconstruction Using Structured Light for Sewer Line Inspection
We introduce an innovative system based on single-shot structured light modules that facilitates the detection and classification of spatial defects like jutting intrusions, spallings, or misaligned joints. This system creates highly accurate 3D...
MIMO Systems with Reconfigurable Antennas: Joint Channel Estimation and Mode Selection
In this paper, we develop a low-complexity iterative mode selection algorithm for data transmission in a Reconfigurable antennas (RAs) MIMO system. Furthermore, we study channel estimation of an RA multi-user MIMO system. We propose a mode...
Decentral and Incentivized Federated Learning Frameworks: A Systematic Literature Review
The advent of federated learning (FL) has sparked a new paradigm of parallel and confidential decentralized machine learning (ML) with the potential of utilizing the computational power of a vast number of Internet of Things (IoT), mobile, and...
Quantus: An Explainable AI Toolkit for Responsible Evaluation of Neural Network Explanations and Beyond
Explainability is supposed to strengthen trust in artificial intelligence, it is necessary to systematically review and compare explanation methods in order to confirm their correctness. We therefore built Quantus—a comprehensive, evaluation...
Enabling Optical Modulation Format Identification Using an Integrated Photonic Reservoir and a Digital Multiclass Classifier
We numerically show modulation format identification in the optical domain using Silicon-on-Insulator-based Photonic-Integrated-Circuit (PIC) reservoir. Identification of 32 GBd single-polarization signals of OOK, PAM4, BPSK and QPSK is...
Ultrafast quantum key distribution using fully parallelized quantum channels
Quantum key distribution (QKD) offers secure communication protected by the laws of quantum mechanics. Aiming for an application-oriented solution, we designed a multichannel superconducting nanowire single photon detector system, as well as a...
Continuous intraoperative perfusion monitoring of free microvascular anastomosed fasciocutaneous flaps using remote photoplethysmography
Intraoperative monitoring of free flaps using remote photoplethysmography (rPPG) signal provides objective and reproducible data on tissue perfusion. We developed a monitoring algorithm for flap perfusion, which was evaluated in fifteen patients...
Investigating the Performance and Suitability of Neural Network Architectures for Nonlinearity Mitigation of Optical Signals
We compare three different neural network architectures for nonlinearity mitigation of 32 GBd OOK and QPSK signals after transmission over a dispersion-compensated link of 10-km SSMF and 10-km DCF. OSNR gains up to 2.2 dB were achieved using...
Experimental Study of In-line Nonlinearity Mitigation for a 400 Gb/s Dual-Carrier Superchannel with Joint Reception Using a Waveband-Shift-Free OPC
We experimentally study waveband-shift-free optical phase conjugation (OPC) of a 400-Gb/s dual-carrier superchannel and discuss the effectiveness of the OPC for multi-channel nonlinear mitigation. After joint reception of the 31.44 GBd-PDM-16QAM...
Ultra-Wideband All-optical Interband Wavelength Conversion Using a Low-complexity Dispersion-engineered SOI Waveguide
We experimentally present a low-complexity dispersion-engineered all-optical wavelength-converter using a photonic integrated-circuit based on SOI waveguide. We achieve a single-sided conversion bandwidth of ~35 nm from C- to S-band, and...
Increasing the reach of visible light communication links through constant-envelope OFDM signals
We demonstrate the transmission of constant-envelope orthogonal frequency division multiplexing (CE-OFDM) signals, based on electrical phase modulation, in a visible light communication (VLC) system. An increased tolerance to nonlinearity...
A Novel Approach for Joint Analytical and ML-assisted GSNR Estimation in Flexible Optical Network
We propose a novel approach to perform QoT estimation relying on joint exploitation of machine learning and analytical formula that offers accurate estimation when applied to scenarios with heterogeneous span profiles and sparsely occupied links....
Automated Dataset Generation for QoT Estimation in Coherent Optical Communication Systems
We demonstrate sophisticated laboratory automation and data pipeline capable of generating large, diverse, and high-quality public datasets. The demo covers the full workflow from setup reconfiguration to data monitoring and storage, represented...