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Showing 2218 results for "continuing" in Engineering
Engineering Preprint PDF DOI

TransforMARS: Fault-Tolerant Self-Reconfiguration for Arbitrarily Shaped Modular Aerial Robot Systems

Rui Huang, Zhiyu Gao, Siyu Tang, Jialin Zhang, Lei He, Ziqian Zhang, Lin Zhao ยท 2025

Modular Aerial Robot Systems (MARS) consist of multiple drone modules that are physically bound together to form a single structure for flight. Exploiting structural redundancy, MARS can be reconfigurโ€ฆ

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Engineering Preprint PDF DOI

HGACNet: Hierarchical Graph Attention Network for Cross-Modal Point Cloud Completion

Yadan Zeng, Jiadong Zhou, Xiaohan Li, I-Ming Chen ยท 2025

Point cloud completion is essential for robotic perception, object reconstruction and supporting downstream tasks like grasp planning, obstacle avoidance, and manipulation. However, incomplete geometrโ€ฆ

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Engineering Preprint PDF DOI

EEND-SAA: Enrollment-Less Main Speaker Voice Activity Detection Using Self-Attention Attractors

Wen-Yung Wu, Pei-Chin Hsieh, Tai-Shih Chi ยท 2025

Voice activity detection (VAD) is essential in speech-based systems, but traditional methods detect only speech presence without identifying speakers. Target-speaker VAD (TS-VAD) extends this by detecโ€ฆ

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Engineering Preprint PDF DOI

ConEQsA: Concurrent and Asynchronous Embodied Questions Scheduling and Answering

Haisheng Wang, Dong Liu, Weiming Zhi ยท 2025

This paper formulates the Embodied Questions Answering (EQsA) problem, introduces a corresponding benchmark, and proposes an agentic system to tackle the problem. Classical Embodied Question Answeringโ€ฆ

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Engineering Preprint PDF DOI

UltraUPConvNet: A UPerNet- and ConvNeXt-Based Multi-Task Network for Ultrasound Tissue Segmentation and Disease Prediction

Zhi Chen, Le Zhang ยท 2025

Ultrasound imaging is widely used in clinical practice due to its cost-effectiveness, mobility, and safety. However, current AI research often treats disease prediction and tissue segmentation as two โ€ฆ

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Engineering Preprint PDF DOI

SMapper: A Multi-Modal Data Acquisition Platform for SLAM Benchmarking

Pedro Miguel Bastos Soares, Ali Tourani, Miguel Fernandez-Cortizas, Asier Bikandi-Noya, Holger Voos, Jose Luis Sanchez-Lopez ยท 2025

Advancing research in fields such as Simultaneous Localization and Mapping (SLAM) and autonomous navigation critically depends on the availability of reliable and reproducible multimodal datasets. Whiโ€ฆ

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Engineering Preprint PDF DOI

Multispectral CT Denoising via Simulation-Trained Deep Learning: Experimental Results at the ESRF BM18

Peter Ganz, Steffen Kie{ss}, Guangpu Yang, Jajnabalkya Guhathakurta, Tanja Pienkny, Charls Clark, Paul Tafforeau, Andreas Balles, Astrid Holzing, Simon Zabler, Sven Simon ยท 2025

Multispectral computed tomography (CT) enables advanced material characterization by acquiring energy-resolved projection data. However, since the incoming X-ray flux is be distributed across multipleโ€ฆ

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Engineering Preprint PDF DOI

Quadrotor Navigation using Reinforcement Learning with Privileged Information

Jonathan Lee, Abhishek Rathod, Kshitij Goel, John Stecklein, Wennie Tabib ยท 2025

This paper presents a reinforcement learning-based quadrotor navigation method that leverages efficient differentiable simulation, novel loss functions, and privileged information to navigate around lโ€ฆ

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Engineering Preprint PDF DOI

Attribute-based Object Grounding and Robot Grasp Detection with Spatial Reasoning

Houjian Yu, Zheming Zhou, Min Sun, Omid Ghasemalizadeh, Yuyin Sun, Cheng-Hao Kuo, Arnie Sen, Changhyun Choi ยท 2025

Enabling robots to grasp objects specified through natural language is essential for effective human-robot interaction, yet it remains a significant challenge. Existing approaches often struggle with โ€ฆ

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Engineering Preprint PDF DOI

CardioComposer: Leveraging Differentiable Geometry for Compositional Control of Anatomical Diffusion Models

Karim Kadry, Shoaib Goraya, Ajay Manicka, Abdalla Abdelwahed, Naravich Chutisilp, Farhad Nezami, Elazer Edelman ยท 2025

Generative models of 3D cardiovascular anatomy can synthesize informative structures for clinical research and medical device evaluation, but face a trade-off between geometric controllability and reaโ€ฆ

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Embodied Hazard Mitigation using Vision-Language Models for Autonomous Mobile Robots

Oluwadamilola Sotomi, Devika Kodi, Kiruthiga Chandra Shekar, Aliasghar Arab ยท 2025

Autonomous robots operating in dynamic environments should identify and report anomalies. Embodying proactive mitigation improves safety and operational continuity. This paper presents a multimodal anโ€ฆ

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Engineering Preprint PDF DOI

Towards an Accurate and Effective Robot Vision (The Problem of Topological Localization for Mobile Robots)

Emanuela Boros ยท 2025

Topological localization is a fundamental problem in mobile robotics, since robots must be able to determine their position in order to accomplish tasks. Visual localization and place recognition are โ€ฆ

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Accelerated Interactive Auralization of Highly Reverberant Spaces using Graphics Hardware

Hannes Rosseel, Toon van Waterschoot ยท 2025

Interactive acoustic auralization allows users to explore virtual acoustic environments in real-time, enabling the acoustic recreation of concert hall or Historical Worship Spaces (HWS) that are eitheโ€ฆ

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Avoidance of an unexpected obstacle without reinforcement learning: Why not using advanced control-theoretic tools?

Cedric Join, Michel Fliess ยท 2025

This communication on collision avoidance with unexpected obstacles is motivated by some critical appraisals on reinforcement learning (RL) which "requires ridiculously large numbers of trials to learโ€ฆ

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A Two-Stage Strategy for Mitosis Detection Using Improved YOLO11x Proposals and ConvNeXt Classification

Jie Xiao, Mengye Lyu, Shaojun Liu ยท 2025

MIDOG 2025 Track 1 requires mitosis detection in whole-slideimages (WSIs) containing non-tumor, inflamed, and necrotic re-gions. Due to the complicated and heterogeneous context, aswell as possible arโ€ฆ

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Engineering Preprint PDF DOI

Temporal Representation Learning for Real-Time Ultrasound Analysis

Yves Stebler, Thomas M. Sutter, Ece Ozkan, Julia E. Vogt ยท 2025

Ultrasound (US) imaging is a critical tool in medical diagnostics, offering real-time visualization of physiological processes. One of its major advantages is its ability to capture temporal dynamics,โ€ฆ

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MixedG2P-T5: G2P-free Speech Synthesis for Mixed-script texts using Speech Self-Supervised Learning and Language Model

Joonyong Park, Daisuke Saito, Nobuaki Minematsu ยท 2025

This study presents a novel approach to voice synthesis that can substitute the traditional grapheme-to-phoneme (G2P) conversion by using a deep learning-based model that generates discrete tokens dirโ€ฆ

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Machine-learning competition to grade EEG background patterns in newborns with hypoxic-ischaemic encephalopathy

Fabio Magarelli, Geraldine B. Boylan, Saeed Montazeri, Feargal O'Sullivan, Dominic Lightbody, Minoo Ashoori, Tamara Skoric, John M. O'Toole ยท 2025

Machine learning (ML) has the potential to support and improve expert performance in monitoring the brain function of at-risk newborns. Developing accurate and reliable ML models depends on access to โ€ฆ

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CellINR: Implicitly Overcoming Photo-induced Artifacts in 4D Live Fluorescence Microscopy

Cunmin Zhao, Ziyuan Luo, Guoye Guan, Zelin Li, Yiming Ma, Zhongying Zhao, Renjie Wan ยท 2025

4D live fluorescence microscopy is often compromised by prolonged high intensity illumination which induces photobleaching and phototoxic effects that generate photo-induced artifacts and severely impโ€ฆ

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TuningIQA: Fine-Grained Blind Image Quality Assessment for Livestreaming Camera Tuning

Xiangfei Sheng, Zhichao Duan, Xiaofeng Pan, Yipo Huang, Zhichao Yang, Pengfei Chen, Leida Li ยท 2025

Livestreaming has become increasingly prevalent in modern visual communication, where automatic camera quality tuning is essential for delivering superior user Quality of Experience (QoE). Such tuningโ€ฆ

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