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Engineering Preprint PDF DOI

DINO-Explorer: Active Underwater Discovery via Ego-Motion Compensated Semantic Predictive Coding

Yuhan Jin, Nayari Marie Lessa, Mariela De Lucas Alvarez, Melvin Laux, Lucas Amparo Barbosa, Frank Kirchner, Rebecca Adam ยท 2026

Marine ecosystem degradation necessitates continuous, scientifically selective underwater monitoring. However, most autonomous underwater vehicles (AUVs) operate as passive data loggers, capturing exhโ€ฆ

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Engineering Preprint PDF DOI

Tree Learning: A Multi-Skill Continual Learning Framework for Humanoid Robots

Yifei Yan, Linqi Ye ยท 2026

As reinforcement learning for humanoid robots evolves from single-task to multi-skill paradigms, efficiently expanding new skills while avoiding catastrophic forgetting has become a key challenge in eโ€ฆ

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Engineering Preprint PDF DOI

GGD-SLAM: Monocular 3DGS SLAM Powered by Generalizable Motion Model for Dynamic Environments

Yi Liu, Haoxuan Xu, Hongbo Duan, Keyu Fan, Zhengyang Zhang, Peiyu Zhuang, Pengting Luo, Houde Liu ยท 2026

Visual SLAM algorithms achieve significant improvements through the exploration of 3D Gaussian Splatting (3DGS) representations, particularly in generating high-fidelity dense maps. However, they depeโ€ฆ

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Engineering Preprint PDF DOI

Reliability-Guided Depth Fusion for Glare-Resilient Navigation Costmaps

Shang-En Tsai, Wei-Cheng Sun ยท 2026

Specular glare on reflective floors and glass surfaces frequently corrupts RGB-D depth measurements, producing holes and spikes that accumulate as persistent phantom obstacles in occupancy-grid costmaโ€ฆ

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Engineering Preprint PDF DOI

CBAM-Enhanced DenseNet121 for Multi-Class Chest X-Ray Classification with Grad-CAM Explainability

Utsho Kumar Dey ยท 2026

Pneumonia remains a leading cause of childhood mortality worldwide, with a heavy burden in low-resource settings such as Bangladesh where radiologist availability is limited. Most existing deep learniโ€ฆ

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Engineering Preprint PDF DOI

TokenSE: a Mamba-based discrete token speech enhancement framework for cochlear implants

Hsin-Tien Chiang, John H. L. Hansen ยท 2026

Speech enhancement (SE) is critical for improving speech intelligibility and quality in real-world environments, particularly for cochlear implant (CI) users who experience severe degradations in speeโ€ฆ

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Engineering Preprint PDF DOI

Disentangled Point Diffusion for Precise Object Placement

Lyuxing He, Eric Cai, Shobhit Aggarwal, Jianjun Wang, David Held ยท 2026

Recent advances in robotic manipulation have highlighted the effectiveness of learning from demonstration. However, while end-to-end policies excel in expressivity and flexibility, they struggle both โ€ฆ

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Multi-ORFT: Stable Online Reinforcement Fine-Tuning for Multi-Agent Diffusion Planning in Cooperative Driving

Haojie Bai, Aimin Li, Ruoyu Yao, Xiongwei Zhao, Tingting Zhang, Xing Zhang, Lin Gao, and Jun Ma ยท 2026

Closed-loop cooperative driving requires planners that generate realistic multimodal multi-agent trajectories while improving safety and traffic efficiency. Existing diffusion planners can model multiโ€ฆ

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Engineering Preprint PDF DOI

Nonlinear Characterization of Thin-Film LiNbO3 Acoustic Filters

Omar Barrera, Bryan T. Bosworth, Taran Anusorn, Kenny Huynh, Ian Anderson, Nicholas R. Jungwirth, Michael Liao, Sinwoo Cho, Jack Kramer, Lezli Matto, Mark S. Goorsky, Nathan D. Orloff, Ruochen Lu ยท 2026

Compact, high-performance components in millimeter-wave (mmWave) communication systems demand new acoustic filter technology at increasingly higher frequencies. Among various promising mmWave platformโ€ฆ

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Data-driven augmentation of first-principles models under constraint-free well-posedness and stability guarantees

Bendeguz Gyorok, Roel Drenth, Chris Verhoek, Tamas Peni, Maarten Schoukens, Roland Toth ยท 2026

The integration of first-principles models with learning-based components, i.e., model augmentation, has gained increasing attention, as it offers higher model accuracy and faster convergence propertiโ€ฆ

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From Equations to Algorithms and Data: Transforming Microwave Engineering and Education with Machine Learning

Mehmet Parlak, Islam Guven ยท 2026

Conventional microwave engineering education relies heavily on analytical methods, canonical circuit topologies, and intuition-driven design, which have proven effective at microwave frequencies. Howeโ€ฆ

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A Physics-Aware Variational Graph Autoencoder for Joint Modal Identification with Uncertainty Quantification

Bhargav Nath, Mehulkumar Lakhadive, Anshu Sharma, Basuraj Bhowmik ยท 2026

Reliable modal identification from output-only vibration data remains a challenging problem under measurement noise, sparse sensing, and structural variability. These challenges intensify when global โ€ฆ

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AIM: Intent-Aware Unified world action Modeling with Spatial Value Maps

Liaoyuan Fan, Zetian Xu, Chen Cao, Wenyao Zhang, Mingqi Yuan, Jiayu Chen ยท 2026

Pretrained video generation models provide strong priors for robot control, but existing unified world action models still struggle to decode reliable actions without substantial robot-specific trainiโ€ฆ

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MVAdapt: Zero-Shot Multi-Vehicle Adaptation for End-to-End Autonomous Driving

Haesung Oh, Jaeheung Park ยท 2026

End-to-End (E2E) autonomous driving models are usually trained and evaluated with a fixed ego-vehicle, even though their driving policy is implicitly tied to vehicle dynamics. When such a model is depโ€ฆ

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Strategic Spatial Load Shifting and Market Efficiency

Aron Brenner, Deepjyoti Deka, Line Roald, Saurabh Amin ยท 2026

Large, spatially flexible electricity consumers such as data centers can reallocate demand across locations, influencing dispatch and prices in wholesale electricity markets. While flexible load is ofโ€ฆ

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{\Psi}-Map: Panoptic Surface Integrated Mapping Enables Real2Sim Transfer

Xuan Yu, Yuxuan Xie, Changjian Jiang, Shichao Zhai, Rong Xiong, Yu Zhang, Yue Wang ยท 2026

Open-vocabulary panoptic reconstruction is essential for advanced robotics perception and simulation. However, existing methods based on 3D Gaussian Splatting (3DGS) often struggle to simultaneously aโ€ฆ

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Speech-preserving active noise control: a deep learning approach in reverberant environments

Shuning Dai ยท 2026

Traditional Active Noise Control (ANC) systems are mostly based on FxLMS algorithms, but such algorithms rely on linear assumptions and are often limited in handling broadband non-stationary noise or โ€ฆ

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ScoRe-Flow: Complete Distributional Control via Score-Based Reinforcement Learning for Flow Matching

Xiaotian Qiu, Lukai Chen, Jinhao Li, Qi Sun, Cheng Zhuo, Guohao Dai ยท 2026

Flow Matching (FM) policies have emerged as an efficient backbone for robotic control, offering fast and expressive action generation that underpins recent large-scale embodied AI systems. However, FMโ€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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Performance Enhancement of MVDC Aircraft Cables Using Micro-Multilayer Insulation Under Low-Pressure Conditions

Saikat Chowdhury, Mona Ghassemi ยท 2026

The development of medium-voltage direct current (MVDC) cable systems for wide-body all-electric aircraft (AEA) requires insulation technologies capable of operating reliably under reduced-pressure enโ€ฆ

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