Expertini Research Research

Browse Research Papers

6,000+ open-access research outputs.

โœ• Clear
๐Ÿ” v. m. braun ๐Ÿ“‚ Engineering
Showing 6000 results for "v. m. braun" in Engineering
Engineering Preprint PDF DOI

Recent Advances in mm-Wave and Sub-THz/THz Oscillators for FutureG Technologies

Baktash Behmanesh, Ahmad Rezvanitabar ยท 2026

This paper provides a concise yet comprehensive review of recent advancements in millimeter-wave (mm-wave) oscillators below 100 GHz and sub-terahertz (sub-THz/THz) oscillators above 100 GHz for next-โ€ฆ

Read Paper โ†’
Engineering Preprint PDF DOI

Atomic-Probe Governance for Skill Updates in Compositional Robot Policies

Xue Qin, Simin Luan, John See, Cong Yang, Zhijun Li ยท 2026

Skill libraries in deployed robotic systems are continually updated through fine-tuning, fresh demonstrations, or domain adaptation, yet existing typed-composition methods (BLADE, SymSkill, Generativeโ€ฆ

Read Paper โ†’
Engineering Preprint PDF DOI

SEP Analysis of Quantized SIMO Systems with M-PSK over Correlated Fading Channels

Amila Ravinath, Bikshapathi Gouda, Italo Atzeni, Antti Tolli ยท 2026

The average symbol error probability (SEP) of a phase-quantized single-input multiple-output system with M-ary phase-shift keying modulation and maximum ratio combining (MRC) is analyzed under correlaโ€ฆ

Read Paper โ†’
Engineering Preprint PDF DOI

Exploring Converter Control Duality in Microgrids: AC Grid-Forming vs DC Droop Control

Jovan Krajacic, Ognjen Stanojev, Mario Schweizer, Orcun Karaca, Gabriela Hug, Vladan Lazarevic ยท 2026

Power electronic converters are fundamental building blocks of both AC and DC microgrids, enabling the integration of renewable energy sources, energy storage systems, electronic loads, and electric vโ€ฆ

Read Paper โ†’
Engineering Preprint PDF DOI

Fuelling fusion plasmas with pellets: Can neuromorphic control outperform Sigma-Delta modulation?

L.L.T.C. Jansen, E. Petri, M. van Berkel, W.P.M.H. Heemels ยท 2026

Nuclear fusion is a promising clean energy source in which deuterium and tritium fuse inside a magnetically confined plasma in a tokamak, releasing energy. A key challenge on the route to practical nuโ€ฆ

Read Paper โ†’
Engineering Preprint PDF DOI

Optimizing Tracking Accuracy in Energy-Constrained Multimodal ISAC via Lyapunov-Driven Heterogeneous Mixture-of-Experts

Wenqi Fan, Ning Wei, Ahmad Bazzi, Rongyan Xi, Zhixian Song, You Li, Zhihan Zeng, Yue Xiu, Chadi Assi ยท 2026

The integration of multimodal sensing and millimeter-wave (mmWave) communications is a key enabler for highly mobile vehicle-to-infrastructure (V2I) networks. However, continuous high-resolution visuaโ€ฆ

Read Paper โ†’
Engineering Preprint PDF DOI

Lights Out: A Nighttime UAV Localization Framework Using Thermal Imagery and Semantic 3D Maps

Ryan Allen, Melissa Greeff ยท 2026

Reliable backup localization for unmanned aerial vehicles (UAVs) operating in GNSS-denied nighttime conditions remains an open challenge due to the severe modality gap between daytime RGB maps and nigโ€ฆ

Read Paper โ†’
Engineering Preprint PDF DOI

Risk Assessments for Evasive Emergency Maneuvers in Autonomous Vehicles

Aliasghar Arab, Milad Khaleghi, Koorosh Aslansefat ยท 2026

This paper presents a systematic verification and validation (V\&V) framework for the Evasive Minimum Risk Maneuver (EMRM) feature in autonomous vehicles, addressing a critical gap in existing safety โ€ฆ

Read Paper โ†’
Engineering Preprint PDF DOI

SlicerRoboTMS: An Open-Source 3D Slicer Extension for Robot-Assisted Transcranial Magnetic Stimulation

Wenzhi Bai, Yituo Guo, Bhaskar Basu, Andrew Weightman, Zhenhong Li ยท 2026

Robot-assisted Transcranial Magnetic Stimulation (Robo-TMS) is an image-guided robotic intervention that enhances the accuracy and reproducibility of conventional Transcranial Magnetic Stimulation (TMโ€ฆ

Read Paper โ†’
Engineering Preprint PDF DOI

UNet-Based Fusion and Exponential Moving Average Adaptation for Noise-Robust Speaker Recognition

Chong-Xin Gan, Peter Bell, Man-Wai Mak, Zhe Li, Zezhong Jin, Zilong Huang, Kong Aik Lee ยท 2026

The joint training of speech enhancement and speaker embedding networks for speaker recognition is widely adopted under noisy acoustic environments. While effective, this paradigm often fails to leverโ€ฆ

Read Paper โ†’
Engineering Preprint PDF DOI

A Novel Two-Step Approach for Reactive Power Demand Calculation Using Integrated Voltage Stability Analysis

Hassan Abouelgheit, Hendrik Lens ยท 2026

The assessment of reactive power demand plays an instrumental role in power system planning. This paper presents a methodology for calculating reactive power demand based on a two-step approach. Unlikโ€ฆ

Read Paper โ†’
Engineering Preprint PDF DOI

Monitoring exposure-length variations in submarine power cables using distributed fiber-optic sensing

Sakiko Mishima, Yoshiyuki Yajima, Noriyuki Tonami, Tomoyuki Hino, Shugo Aibe, Junichiro Saikawa, Koji Mizuguchi ยท 2026

This study proposes an anomaly-detection framework for monitoring exposure-length variations in submarine free-span cables using Distributed Acoustic Sensing (DAS), which is one of the distributed fibโ€ฆ

Read Paper โ†’
Engineering Preprint PDF DOI

Real-time windrow detection from onboard tractor sensors for automated following

Lorenz Gunreben, Nico Heider, Sebastian Zurner, Martin Schieck, Bogdan Franczyk ยท 2026

Proprietary design in commercial windrow-detection systems restricts transparency and limits progress in open autonomous forage-harvesting research. We present a multi-modal dataset combining stereo vโ€ฆ

Read Paper โ†’
Engineering Preprint PDF DOI

Characterizing Vision-Language-Action Models across XPUs: Constraints and Acceleration for On-Robot Deployment

Kaijun Zhou, Qiwei Chen, Da Peng, Zhiyang Li, Xijun Li, Jinyu Gu ยท 2026

Vision-Language-Action (VLA) models are promising for generalist robot control, but on-robot deployment is bottlenecked by real-time inference under tight cost and energy budgets. Most prior evaluatioโ€ฆ

Read Paper โ†’
Engineering Preprint PDF DOI

BandRouteNet: An Adaptive Band Routing Neural Network for EEG Artifact Removal

Phat Lam ยท 2026

Electroencephalography (EEG) is highly susceptible to artifact contamination, such as electrooculographic (EOG) and electromyographic (EMG) interference, which severely degrades signal quality and hinโ€ฆ

Read Paper โ†’
Engineering Preprint PDF DOI

$M^2$-VLA: Boosting Vision-Language Models for Generalizable Manipulation via Layer Mixture and Meta-Skills

Siyao Xiao, Yuhong Zhang, Zhifang Liu, Zihan Gao, Jingye Zhang, Sinwai Choo, Dake Zhong, Mengzhe Wang, Xiao Lin, Xianfeng Zhou, Jia Jia, Haoqian Wang ยท 2026

Current Vision-Language-Action (VLA) models predominantly rely on end-to-end fine-tuning. While effective, this paradigm compromises the inherent generalization capabilities of Vision-Language Models โ€ฆ

Read Paper โ†’
Engineering Preprint PDF DOI

QuietWalk: Physics-Informed Reinforcement Learning for Ground Reaction Force-Aware Humanoid Locomotion Under Diverse Footwear

Hanze Hu, Luying Feng, Silu Chen, Tianjiang Zheng, Dexin Jiang, Wei Chen, Chi Zhang, Guilin Yang, Yaochu Jin ยท 2026

Humanoid robots operating in human-centered environments (e.g., homes, hospitals, and offices) must mitigate foot--ground impact transients, as impact-induced vibration and noise degrade user experienโ€ฆ

Read Paper โ†’
Engineering Preprint PDF DOI

Sparsity-Aware Event-Driven Impulse Radio Transceivers for Reliable Neuromorphic Inference

Zhengzhong Guan, Jiaying Li, Kanghua Li, Bojun Cheng, Hong Xing ยท 2026

The growing number of Internet-of-Things (IoT) based artificial intelligence (AI) applications deployed at resource-constrained network edge call for ultra-reliable and low-latency data processing pipโ€ฆ

Read Paper โ†’
Engineering Preprint PDF DOI

Collaborative Trajectory Prediction via Late Fusion

Nadya Abdel Madjid, Murad Mebrahtu, Zakhar Yagudin, Bilal Hassan, Naoufel Werghi, Jorge Dias, Dzmitry Tsetserukou, Majid Khonji ยท 2026

Predicting future trajectories of surrounding traffic agents is critical for safe autonomous navigation and collision avoidance. Despite all advances in the trajectory forecasting realm, the predictioโ€ฆ

Read Paper โ†’
Engineering Preprint PDF DOI

Are Natural-Domain Foundation Models Effective for Accelerated Cardiac MRI Reconstruction?

Anam Hashmi, Mayug Maniparambil, Julia Dietlmeier, Kathleen M. Curran, Noel E. O'Connor ยท 2026

The emergence of large-scale pretrained foundation models has transformed computer vision, enabling strong performance across diverse downstream tasks. However, their potential for physics-based inverโ€ฆ

Read Paper โ†’
Page 1 of 300 Next โ†’