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๐Ÿ” berat dogan ๐Ÿ“‚ Engineering
Showing 320 results for "berat dogan" in Engineering
Engineering Preprint PDF DOI

Dynamic Heartbeat Modeling with Recurrent Neural Networks and Inverse Gaussian Point Process

Runwei Lin, Ying Wang ยท 2026

Heart rate variability (HRV) analysis is important for the assessment of autonomic cardiovascular regulation. The inverse Gaussian process (IGP) has been widely used for beat-to-beat HRV modeling, as โ€ฆ

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Engineering Preprint PDF DOI

Efficient Emotion-Aware Iconic Gesture Prediction for Robot Co-Speech

Edwin C. Montiel-Vazquez, Christian Arzate Cruz, Stefanos Gkikas, Thomas Kassiotis, Giorgos Giannakakis, Randy Gomez ยท 2026

Co-speech gestures increase engagement and improve speech understanding. Most data-driven robot systems generate rhythmic beat-like motion, yet few integrate semantic emphasis. To address this, we proโ€ฆ

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Engineering Preprint PDF DOI

NCR vs. Passive/Active RIS: How Much NCR Amplification is Required to Beat RIS?

Ozlem Tugfe Demir, Ozan Alp Topal, Cicek Cavdar, Emil Bjornson ยท 2026

This paper investigates the fundamental tradeoff between reconfigurable intelligent surfaces (RISs) and network-controlled repeaters (NCRs) in terms of achievable signal-to-noise ratio (SNR). Considerโ€ฆ

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Engineering Preprint PDF DOI

AoI-FusionNet: Age-Aware Tightly Coupled Fusion of UWB-IMU under Sparse Ranging Conditions

Tehmina Bibi, Anselm Kohler, Jan-Thomas Fischer, Falko Dressler ยท 2026

Accurate motion tracking of snow particles in avalanche events requires robust localization in global navigation satellite system (GNSS)-denied outdoor environments. This paper introduces AoI-FusionNeโ€ฆ

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Engineering Preprint PDF DOI

FireRedASR2S: A State-of-the-Art Industrial-Grade All-in-One Automatic Speech Recognition System

Kaituo Xu, Yan Jia, Kai Huang, Junjie Chen, Wenpeng Li, Kun Liu, Feng-Long Xie, Xu Tang, Yao Hu ยท 2026

We present FireRedASR2S, a state-of-the-art industrial-grade all-in-one automatic speech recognition (ASR) system. It integrates four modules in a unified pipeline: ASR, Voice Activity Detection (VAD)โ€ฆ

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Engineering Preprint PDF DOI

Language-Invariant Multilingual Speaker Verification for the TidyVoice 2026 Challenge

Ze Li, Xiaoxiao Miao, Juan Liu, Ming Li ยท 2026

Multilingual speaker verification (SV) remains challenging due to limited cross-lingual data and language-dependent information in speaker embeddings. This paper presents a language-invariant multilinโ€ฆ

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Engineering Preprint PDF DOI

A Novel end-to-end Digital Health System Using Deep Learning-based ECG Analysis

Artemis Kontou, Natalia Miroshnikova, Costakis Matheou, Sophocles Sophocleous, Nicholas Tsekouras, Kleanthis Malialis, Panayiotis Kolios ยท 2026

This study presents AI-HEART, a cloud-based information system for managing and analysing long-duration ambulatory electrocardiogram (ECG) recordings and supporting clinician decision-making. The platโ€ฆ

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Engineering Preprint PDF DOI

Automated Histopathology Report Generation via Pyramidal Feature Extraction and the UNI Foundation Model

Ahmet Halici, Ece Tugba Cebeci, Musa Balci, Mustafa Cini, Serkan Sokmen ยท 2026

Generating diagnostic text from histopathology whole slide images (WSIs) is challenging due to the gigapixel scale of the input and the requirement for precise, domain specific language. We propose a โ€ฆ

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Engineering Preprint PDF DOI

Robustness Is a Function, Not a Number: A Factorized Comprehensive Study of OOD Robustness in Vision-Based Driving

Amir Mallak, Alaa Maalouf ยท 2026

Out of distribution (OOD) robustness in autonomous driving is often reduced to a single number, hiding what breaks a policy. We decompose environments along five axes: scene (rural/urban), season, weaโ€ฆ

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Engineering Preprint PDF DOI

Orientation-Robust Latent Motion Trajectory Learning for Annotation-free Cardiac Phase Detection in Fetal Echocardiography

Yingyu Yang, Qianye Yang, Can Peng, Elena D'Alberti, Olga Patey, Aris T. Papageorghiou, J.Alison Noble ยท 2026

Fetal echocardiography is essential for detecting congenital heart disease (CHD), facilitating pregnancy management, optimized delivery planning, and timely postnatal interventions. Among standard imaโ€ฆ

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Engineering Preprint PDF DOI

From Hallucination to Articulation: Language Model-Driven Losses for Ultra Low-Bitrate Neural Speech Coding

Jayeon Yi, Minje Kim ยท 2026

``Phoneme Hallucinations (PH)'' commonly occur in low-bitrate DNN-based codecs. It is the generative decoder's attempt to synthesize plausible outputs from excessively compressed tokens missing some sโ€ฆ

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Engineering Preprint PDF DOI

When Attention Betrays: Erasing Backdoor Attacks in Robotic Policies by Reconstructing Visual Tokens

Xuetao Li, Pinhan Fu, Wenke Huang, Nengyuan Pan, Songhua Yang, Kaiyan Zhao, Guancheng Wan, Mengde Li, Jifeng Xuan, Miao Li ยท 2026

Downstream fine-tuning of vision-language-action (VLA) models enhances robotics, yet exposes the pipeline to backdoor risks. Attackers can pretrain VLAs on poisoned data to implant backdoors that remaโ€ฆ

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Engineering Preprint PDF DOI

Benchmarking Vanilla GAN, DCGAN, and WGAN Architectures for MRI Reconstruction: A Quantitative Analysis

Humaira Mehwish, Hina Shakir, Muneeba Rashid, Asarim Aamir, Reema Qaiser Khan ยท 2026

Magnetic Resonance Imaging (MRI) is a crucial imaging modality for viewing internal body structures. This research work analyses the performance of popular GAN models for accurate and precise MRI recoโ€ฆ

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Large Language Models for Patent Classification: Strengths, Trade-offs, and the Long Tail Effect

Lorenzo Emer, Marco Lippi, Andrea Mina, Andrea Vandin ยท 2026

Patent classification into CPC codes underpins large scale analyses of technological change but remains challenging due to its hierarchical, multi label, and highly imbalanced structure. While pre Genโ€ฆ

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Engineering Preprint PDF DOI

ECGFlowCMR: Pretraining with ECG-Generated Cine CMR Helps Cardiac Disease Classification and Phenotype Prediction

Xiaocheng Fang, Zhengyao Ding, Guangkun Nie, Jieyi Cai, Yujie Xiao, Bo Liu, Jiarui Jin, Haoyu Wang, Shun Huang, Ting Chen, Hongyan Li, Shenda Hong ยท 2026

Cardiac Magnetic Resonance (CMR) imaging provides a comprehensive assessment of cardiac structure and function but remains constrained by high acquisition costs and reliance on expert annotations, limโ€ฆ

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Engineering Preprint PDF DOI

A Dynamic Parametric Simulator for Fetal Heart Sounds

Yingtong Zhou, Yiang Zhou, Zhengxian Qu, Kang Liu, Ting Tan ยท 2026

Research on fetal phonocardiogram (fPCG) is challenged by the limited number of abdominal recordings, substantial maternal interference, and marked transmissioninduced signal attenuation that complicaโ€ฆ

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Engineering Preprint PDF DOI

MonoRace: Winning Champion-Level Drone Racing with Robust Monocular AI

Stavrow A. Bahnam, Robin Ferede, Till M. Blaha, Anton E. Lang, Erin Lucassen, Quentin Missinne, Aderik E.C. Verraest, Christophe De Wagter, Guido C.H.E. de Croon ยท 2026

Autonomous drone racing represents a major frontier in robotics research. It requires an Artificial Intelligence (AI) that can run on board light-weight flying robots under tight resource and time conโ€ฆ

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Engineering Preprint PDF DOI

Adaptive Optimal Control for Avatar-Guided Motor Rehabilitation in Virtual Reality

Francesco De Lellis, Maria Lombardi, Egidio De Benedetto, Pasquale Arpaia, Mario di Bernardo ยท 2025

A control-theoretic framework for autonomous avatar-guided rehabilitation in virtual reality, based on interpretable, adaptive motor guidance through optimal control, is presented. The framework facesโ€ฆ

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Engineering Preprint PDF DOI

BERT-APC: A Reference-free Framework for Automatic Pitch Correction via Musical Context Inference

Sungjae Kim, Kihyun Na, Jinyoung Choi, Injung Kim ยท 2025

Automatic Pitch Correction (APC) enhances vocal recordings by aligning pitch deviations with intended musical notes. However, existing APC systems either rely on reference pitches, which limits practiโ€ฆ

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Engineering Preprint PDF DOI

Generative MR Multitasking with complex-harmonic cardiac encoding: Bridging the gap between gated imaging and real-time imaging

Xinguo Fang, Anthony G. Christodoulou ยท 2025

Purpose: To develop a unified image reconstruction framework that bridges real-time and gated cardiac MRI, including quantitative MRI. Methods: We introduce Generative Multitasking, which learns an imโ€ฆ

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