Search Results for author: Maximilian Schäfer

Found 11 papers, 1 papers with code

Damping Density of an Absorptive Shoebox Room Derived from the Image-Source Method

no code implementations11 Oct 2023 Sebastian J. Schlecht, Karolina Prawda, Rudolf Rabenstein, Maximilian Schäfer

The paper elaborates on the proposed damping density's applicability to modeling multi-sloped sound energy decay, predicting reverberation time in non-diffuse sound fields, and fast frequency-dependent RIR synthesis.

CASPNet++: Joint Multi-Agent Motion Prediction

no code implementations15 Aug 2023 Maximilian Schäfer, Kun Zhao, Anton Kummert

In this work, we focus on further enhancing the interaction modeling and scene understanding to support the joint prediction of all road users in a scene using spatiotemporal grids to model future occupancy.

Autonomous Driving motion prediction +1

Microparticle-based Controlled Drug Delivery Systems: From Experiments to Statistical Analysis and Design

no code implementations5 May 2023 Sebastian Lotter, Tom Bellmann, Sophie Marx, Mara Wesinger, Lukas Brand, Maximilian Schäfer, Dagmar Fischer, Robert Schober

CDD has been a major research focus in the field of molecular communications (MC) with the goal to aid the design and optimization of CDD systems with communication theoretical analysis.

Physical Modeling using Recurrent Neural Networks with Fast Convolutional Layers

no code implementations21 Apr 2022 Julian D. Parker, Sebastian J. Schlecht, Rudolf Rabenstein, Maximilian Schäfer

Recent work has applied the techniques of machine-learning to construct such models automatically from data for the case of systems which have lumped states described by scalar values, such as electrical circuits.

Signal Reception With Generic Three-State Receptors in Synaptic MC

no code implementations14 Apr 2022 Sebastian Lotter, Michael T. Barros, Robert Schober, Maximilian Schäfer

The proposed SMC model is the first that allows studying the impact of the characteristic dynamics of the main postsynaptic receptor types on synaptic signal transmission.

Media Modulation based Molecular Communication

no code implementations1 Mar 2022 Lukas Brand, Moritz Garkisch, Sebastian Lotter, Maximilian Schäfer, Andreas Burkovski, Heinrich Sticht, Kathrin Castiglione, Robert Schober

Hence, in media modulation based MC, the TX modulates information into the state of the signaling molecules.

Facebook Shadow Profiles

no code implementations8 Feb 2022 Luis Aguiar, Christian Peukert, Maximilian Schäfer, Hannes Ullrich

We quantify Facebook's ability to build shadow profiles by tracking individuals across the web, irrespective of whether they are users of the social network.

Context-Aware Scene Prediction Network (CASPNet)

no code implementations18 Jan 2022 Maximilian Schäfer, Kun Zhao, Markus Bühren, Anton Kummert

Predicting the future motion of surrounding road users is a crucial and challenging task for autonomous driving (AD) and various advanced driver-assistance systems (ADAS).

Autonomous Driving

Molecular Noise In Synaptic Communication

no code implementations14 Jan 2022 Sebastian Lotter, Maximilian Schäfer, Robert Schober

In synaptic molecular communication (MC), the activation of postsynaptic receptors by neurotransmitters (NTs) is governed by a stochastic reaction-diffusion process.

Statistical Modeling of Airborne Virus Transmission Through Imperfectly Fitted Face Masks

no code implementations26 Apr 2021 Sebastian Lotter, Lukas Brand, Maximilian Schäfer, Robert Schober

In particular, in most end-to-end models for airborne virus transmission, it is neglected that the stochastic spread of IAs through imperfectly fitted face masks depends on the dynamics of the breathing of the wearer.

Transfer Function Models for Cylindrical MC Channels with Diffusion and Laminar Flow

1 code implementation3 Jul 2020 Maximilian Schäfer, Wayan Wicke, Lukas Brand, Rudolf Rabenstein, Robert Schober

The propagation characteristics of the particles can be categorized into three different regimes: The flow dominant regime where the influence of diffusion on the particle transport is negligible, the dispersive regime where diffusion has a much stronger impact than flow, and the mixed regime where both effects are important.

Emerging Technologies Computational Physics

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