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Showing 8502 results for "brain" in Engineering
Engineering Preprint PDF DOI

Generative Modeling of Complex-Valued Brain MRI Data

Marco Schlimbach, Moritz Rempe, Jessica Mnischek, Lukas T. Rotkopf, Jens Weingarten, Jens Kleesiek, Kevin Kroninger ยท 2026

Objective. Standard Magnetic Resonance Imaging (MRI) reconstruction pipelines discard phase information captured during acquisition, despite evidence that it encodes tissue properties relevant to tumoโ€ฆ

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Batch Effects In Brain Foundation Model Embeddings

Ye Tao, Bradley T. Baker, Yu Wu, Anand D. Sarwate, Sandeep Panta, Sergey Plis, Vince D. Calhoun ยท 2026

Foundation models show strong potential for large-scale, high-dimensional biomedical applications, yet their ability to capture relevant neurobiological characteristics remains underexplored. We systeโ€ฆ

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Engineering Preprint PDF DOI

Time-varying optimal control under measurement errors

Patrick Schmidt, Stefan Streif ยท 2026

Solving optimal control problems to determine a stabilizing controller involves a significant computational effort. Time-varying optimal control provides a remedy by designing a tracking system, givenโ€ฆ

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Engineering Preprint PDF DOI

UNRIO: Uncertainty-Aware Velocity Learning for Radar-Inertial Odometry

Jui-Te Huang, Tinashu Huang, Anthony Rowe, Michael Kaess ยท 2026

We present UNRIO, an uncertainty-aware radar-inertial odometry system that estimates ego-velocity directly from raw mmWave radar IQ signals rather than processed point clouds. Existing radar-inertial โ€ฆ

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From Brain Models to Executable Digital Twins: Execution Semantics and Neuro-Neuromorphic Systems

Alexandre Muzy (ILLS) ยท 2026

Brain digital twins aim to provide faithful, individualized computational representations of brains as dynamical systems, enabling mechanistic understanding and supporting prediction of clinical interโ€ฆ

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Classical Machine Learning Baselines for Deepfake Audio Detection on the Fake-or-Real Dataset

Faheem Ahmad, Ajan Ahmed, Masudul Imtiaz ยท 2026

Deep learning has enabled highly realistic synthetic speech, raising concerns about fraud, impersonation, and disinformation. Despite rapid progress in neural detectors, transparent baselines are needโ€ฆ

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Utilizing Inpainting for Keypoint Detection for Vision-Based Control of Robotic Manipulators

Sreejani Chatterjee, Venkatesh Mullur, Abhinav Gandhi, Berk Calli ยท 2026

In this paper we present a novel visual servoing framework to control a robotic manipulator in the configuration space by using purely natural visual features. Our goal is to develop methods that can โ€ฆ

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Learning Low-Dimensional Representation for O-RAN Testing via Transformer-ESN

Jiongyu Dai, Raymond Zhao, Farhad Rezazadeh, Lizhong Zheng, Haining Wang, Lingjia Liu ยท 2026

Open Radio Access Network (O-RAN) architectures enhance flexibility for 6G and NextG networks. However, it also brings significant challenges in O-RAN testing with evaluating abundant, high-dimensionaโ€ฆ

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Contextual Multi-Task Reinforcement Learning for Autonomous Reef Monitoring

Melvin Laux, Yi-Ling Liu, Rina Alo, Soren Topper, Mariela De Lucas Alvarez, Frank Kirchner, Rebecca Adam ยท 2026

Although autonomous underwater vehicles promise the capability of marine ecosystem monitoring, their deployment is fundamentally limited by the difficulty of controlling vehicles under highly uncertaiโ€ฆ

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Social Learning Strategies for Evolved Virtual Soft Robots

K. Ege de Bruin, Kyrre Glette, Kai Olav Ellefsen, Giorgia Nadizar, Eric Medvet ยท 2026

Optimizing the body and brain of a robot is a coupled challenge: the morphology determines what control strategies are effective, while the control parameters influence how well the morphology performโ€ฆ

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X-VC: Zero-shot Streaming Voice Conversion in Codec Space

Qixi Zheng, Yuxiang Zhao, Tianrui Wang, Wenxi Chen, Kele Xu, Yikang Li, Qinyuan Chen, Xipeng Qiu, Kai Yu, Xie Chen ยท 2026

Zero-shot voice conversion (VC) aims to convert a source utterance into the voice of an unseen target speaker while preserving its linguistic content. Although recent systems have improved conversion โ€ฆ

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Model-free Anomaly Detection for Dynamical Systems with Gaussian Processes

Alejandro Penacho Riveiros, Nicola Bastianello, Matthieu Barreau ยท 2026

In this paper we address the problem of detecting differences or anomalies in a dynamical system, based on historical data of nominal operations. This problem encompasses quality control, where newly โ€ฆ

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ComSim: Building Scalable Real-World Robot Data Generation via Compositional Simulation

Yiran Qin, Jiahua Ma, Li Kang, Wenzhan Li, Yihang Jiao, Xin Wen, Xiufeng Song, Heng Zhou, Jiwen Yu, Zhenfei Yin, Xihui Liu, Philip Torr, Yilun Du, Ruimao Zhang ยท 2026

Recent advancements in foundational models, such as large language models and world models, have greatly enhanced the capabilities of robotics, enabling robots to autonomously perform complex tasks. Hโ€ฆ

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Rain Rate Estimation Bounds and Weather-Adaptive Pilot Allocation for LEO Satellite ISAC

Haofan Dong, Houtianfu Wang, Hanlin Cai, O. Tansel Baydas, Ozgur B. Akan ยท 2026

Rain attenuates Ku-band satellite signals by up to 20~dB, encoding precipitation information along the Earth-space slant path. This paper derives the Bayesian Cram\'{e}r-Rao bound (BCRB) for rain rateโ€ฆ

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WARPED: Wrist-Aligned Rendering for Robot Policy Learning from Egocentric Human Demonstrations

Harry Freeman, Chung Hee Kim, George Kantor ยท 2026

Recent advancements in learning from human demonstration have shown promising results in addressing the scalability and high cost of data collection required to train robust visuomotor policies. Howevโ€ฆ

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A Control-Referenced Tri-Channel OECT Receiver for Hybrid Molecular Communication Toward Brain Organoid Interfaces

Hongbin Ni, Ozgur B. Akan ยท 2026

Brain organoid interfaces that seek neuromodulator readout benefit from chemical receivers with molecular specificity and tolerance to drift. This paper presents a receiver-centric theoretical study oโ€ฆ

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Brain-Grasp: Graph-based Saliency Priors for Improved fMRI-based Visual Brain Decoding

Mohammad Moradi, Morteza Moradi, Marco Grassia, Giuseppe Mangioni ยท 2026

Recent progress in brain-guided image generation has improved the quality of fMRI-based reconstructions; however, fundamental challenges remain in preserving object-level structure and semantic fideliโ€ฆ

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AffordGen: Generating Diverse Demonstrations for Generalizable Object Manipulation with Afford Correspondence

Jiawei Zhang, Kaizhe Hu, Yingqian Huang, Yuanchen Ju, Zhengrong Xue, Huazhe Xu ยท 2026

Despite the recent success of modern imitation learning methods in robot manipulation, their performance is often constrained by geometric variations due to limited data diversity. Leveraging powerfulโ€ฆ

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Deep Learning-Based Physical Layer Authentication Using 5G NR Sounding Reference Signals: A Temporal Generalization Study on Real Testbed Data

Sachinkumar B. Mallikarjun, Marvin Reski, Andreas Weinand, Hans D. Schotten ยท 2026

Physical Layer Authentication (PLA) exploits the spatial uniqueness of wireless channel characteristics in order to authenticate devices without recourse to higher-layer cryptographic protocols, whichโ€ฆ

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Perception Is All You Need: A Neuroscience Framework for Low Cost Sensorless Gaze in HRI

Mason Kadem ยท 2026

Gaze-following in child-robot interaction improves attention, recall, and learning, but requires expensive platforms (\$30,000+), sensors, algorithms, and raises privacy concerns. We propose a framewoโ€ฆ

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