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๐Ÿ” gino chacon ๐Ÿ“‚ Engineering
Showing 455 results for "gino chacon" in Engineering
Engineering Preprint PDF DOI

Text-To-Speech with Chain-of-Details: modeling temporal dynamics in speech generation

Jianbo Ma, Richard Cartwright ยท 2026

Recent advances in Text-To-Speech (TTS) synthesis have seen the popularity of multi-stage approaches that first predict semantic tokens and then generate acoustic tokens. In this paper, we extend the โ€ฆ

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Chaos-Enhanced Prototypical Networks for Few-Shot Medical Image Classification

Chinthakuntla Meghan Sai, Murarisetty V Sai Kartheek, Sita Devi Bharatula, Karthik Seemakurthy ยท 2026

The scarcity of labeled clinical data in oncology makes Few-Shot Learning (FSL) a critical framework for Computer Aided Diagnostics, but we observed that standard Prototypical Networks often struggle โ€ฆ

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Chain Of Interaction Benchmark (COIN): When Reasoning meets Embodied Interaction

Xianhao Wang, Xiaojian Ma, Haozhe Hu, Rongpeng Su, Yutian Cheng, Zhou Ziheng, Hangxin Liu, Lei Liu, Bin Li, Qing Li ยท 2026

Generalist embodied agents must perform interactive, causally-dependent reasoning, continually interacting with the environment, acquiring information, and updating plans to solve long-horizon tasks bโ€ฆ

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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

Grounded World Model for Semantically Generalizable Planning

Quanyi Li, Lan Feng, Haonan Zhang, Wuyang Li, Letian Wang, Alexandre Alahi, Harold Soh ยท 2026

In Model Predictive Control (MPC), world models predict the future outcomes of various action proposals, which are then scored to guide the selection of the optimal action. For visuomotor MPC, the scoโ€ฆ

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Engineering Preprint PDF DOI

Search-MIND: Training-Free Multi-Modal Medical Image Registration

Boya Wang, Ruizhe Li, Chao Chen, Xin Chen ยท 2026

Multi-modal image registration plays a critical role in precision medicine but faces challenges from non-linear intensity relationships and local optima. While deep learning models enable rapid infereโ€ฆ

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Engineering Preprint PDF DOI

BEACON: Benefit-Aware Early-Exit for Automatic Modulation Classification via Recoverability Prediction

Zheng Liu, Hatem Abou-Zeid, Huaqing Wu ยท 2026

Convolutional neural networks (CNNs) have emerged as a powerful tool for automatic modulation classification (AMC) by directly extracting discriminative features from raw in-phase and quadrature (I/Q)โ€ฆ

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Real-Time Projected Adaptive Control for Closed-Chain Co-Manipulative Continuum Robots

Rana Danesh, Farrokh Janabi-Sharifi, Farhad Aghili ยท 2026

In co-manipulative continuum robots (CCRs), multiple continuum arms cooperate by grasping a common flexible object, forming a closed-chain deformable mechanical system. The closed-chain coupling inducโ€ฆ

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A comparison of Markov Chain Monte Carlo algorithms for Bayesian inference of constitutive models

Aricia Rinkens, Rodrigo L. S. Silva, Erik Quaeghebeur, Nick Jaensson, Clemens Verhoosel ยท 2026

Employing Bayesian inference to calibrate constitutive model parameters has grown substantially in recent years. Among the available techniques, Markov Chain Monte Carlo (MCMC) sampling remains one ofโ€ฆ

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$AutoDrive\text{-}P^3$: Unified Chain of Perception-Prediction-Planning Thought via Reinforcement Fine-Tuning

Yuqi Ye, Zijian Zhang, Junhong Lin, Shangkun Sun, Changhao Peng, Wei Gao ยท 2026

Vision-language models (VLMs) are increasingly being adopted for end-to-end autonomous driving systems due to their exceptional performance in handling long-tail scenarios. However, current VLM-based โ€ฆ

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Data is All You Need: Markov Chain Car-Following (MC-CF) Model

Sungyong Chung, Yanlin Zhang, Nachuan Li, Dana Monzer, Alireza Talebpour ยท 2026

Car-following behavior is fundamental to traffic flow theory, yet traditional models often fail to capture the stochasticity of naturalistic driving. This paper introduces a new car-following modelingโ€ฆ

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Multi-AUV Ad-hoc Networks-Based Multi-Target Tracking Based on Scene-Adaptive Embodied Intelligence

Kai Tian, Jialun Wang, Chuan Lin, Guangjie Han, Shengchao Zhu, Ying Liu, Qian Zhu ยท 2026

With the rapid advancement of underwater net-working and multi-agent coordination technologies, autonomous underwater vehicle (AUV) ad-hoc networks have emerged as a pivotal framework for executing coโ€ฆ

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Flow-based Polynomial Chaos Expansion for Uncertainty Quantification in Power System Dynamic Simulation

Le Fang, Wangkun Xu, Fei Teng ยท 2026

The large-scale integration of renewable energy sources introduces significant operational uncertainty into power systems. Although Polynomial Chaos Expansion (PCE) provides an efficient tool for unceโ€ฆ

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Outage Probability Analysis of NOMA Enabled Hierarchical UAV Networks with Non-Linear Energy Harvesting

Faicel Khennoufa, Khelil Abdellatif, Metin Ozturk, Halim Yanikomeroglu, Safwan Alfattani ยท 2026

Uncrewed aerial vehicles (UAVs) are expected to enhance connectivity, extend network coverage, and support advanced communication services in sixth-generation (6G) cellular networks, particularly in pโ€ฆ

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In the Margins: An Empirical Study of Ethereum Inscriptions

Xihan Xiong, Minfeng Qi, Shiping Chen, Guangsheng Yu, Zhipeng Wang, Qin Wang ยท 2026

Ethereum Inscriptions (Ethscriptions) repurpose Ethereum calldata into a persistent inscription channel by embedding \texttt{data:}~URI payloads. These transactions typically target externally owned aโ€ฆ

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An Extended T-A Formulation Based on Potential-Chain Recursion for Electromagnetic Modeling of Parallel-Wound No-Insulation HTS Coils

Zhe Pan, Qi Xu, Ruixiang Wang, Zhenghao Jin, Jianzhao Geng ยท 2026

Parallel-wound no-insulation (PW-NI) high-temperature superconducting (HTS) coils significantly reduce charging delay while maintaining excellent self-protection capability, demonstrating great potentโ€ฆ

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Rewarding DINO: Predicting Dense Rewards with Vision Foundation Models

Pierre Krack, Tobias Julg, Wolfram Burgard, Florian Walter ยท 2026

Well-designed dense reward functions in robot manipulation not only indicate whether a task is completed but also encode progress along the way. Generally, designing dense rewards is challenging and uโ€ฆ

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GNIO: Gated Neural Inertial Odometry

Dapeng Feng, Yizhen Yin, Zhiqiang Chen, Yuhua Qi, Hongbo Chen ยท 2026

Inertial navigation using low-cost MEMS sensors is plagued by rapid drift due to sensor noise and bias instability. While recent data-driven approaches have made significant strides, they often struggโ€ฆ

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Altered Thoughts, Altered Actions: Probing Chain-of-Thought Vulnerabilities in VLA Robotic Manipulation

Tuan Duong Trinh, Naveed Akhtar, Basim Azam ยท 2026

Recent Vision-Language-Action (VLA) models increasingly adopt chain-of-thought (CoT) reasoning, generating a natural-language plan before decoding motor commands. This internal text channel between thโ€ฆ

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TRACE: Temporal Rule-Anchored Chain-of-Evidence on Knowledge Graphs for Interpretable Stock Movement Prediction

Qianggang Ding, Haochen Shi, Luis Castejon Lozano, Miguel Conner, Juan Abia, Luis Gallego-Ledesma, Joshua Fellowes, Gerard Conangla Planes, Adam Elwood, Bang Liu ยท 2026

We present a Temporal Rule-Anchored Chain-of-Evidence (TRACE) on knowledge graphs for interpretable stock movement prediction that unifies symbolic relational priors, dynamic graph exploration, and LLโ€ฆ

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