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๐Ÿ” computing methodologies ๐Ÿ“‚ Engineering
Showing 7833 results for "computing methodologies" in Engineering
Engineering Preprint PDF DOI

Comparative Analysis of Vision Transformers and Traditional Deep Learning Approaches for Automated Pneumonia Detection in Chest X-Rays

Gaurav Singh ยท 2025

Pneumonia, particularly when induced by diseases like COVID-19, remains a critical global health challenge requiring rapid and accurate diagnosis. This study presents a comprehensive comparison of traโ€ฆ

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Engineering Preprint PDF DOI

Multi-Symbol Digital AirComp via Modulation Design and Power Adaptation

Xiaojing Yan, Saeed Razavikia, Carlo Fischione ยท 2025

Recently, over-the-air computation (AirComp) leverages the superposition property of wireless channels to enable efficient function computation over a multiple access channel (MAC). However, existing โ€ฆ

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Engineering Preprint PDF DOI

Neuromorphic Split Computing via Optical Inter-Satellite Links

Zihang Song, Petar Popovski ยท 2025

We present a neuromorphic split-computing framework for energy-efficient low-latency inference over optical inter-satellite links. The system partitions a spiking neural network (SNN) between edge andโ€ฆ

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Engineering Preprint PDF DOI

Maneuver Detection via a Confidence Dominance Maneuver Indicator

Xingyu Zhou, Roberto Armellin, Laura Pirovano, Dong Qiao, Xiangyu Li ยท 2025

Accurate and efficient maneuver detection is critical for ensuring the safety and predictability of spacecraft trajectories. This paper presents a novel maneuver detection approach based on comparing โ€ฆ

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RawTFNet: A Lightweight CNN Architecture for Speech Anti-spoofing

Yang Xiao, Ting Dang, Rohan Kumar Das ยท 2025

Automatic speaker verification (ASV) systems are often affected by spoofing attacks. Recent transformer-based models have improved anti-spoofing performance by learning strong feature representations.โ€ฆ

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Engineering Preprint PDF DOI

Enhancing Generalization in PPG-Based Emotion Measurement with a CNN-TCN-LSTM Model

Karim Alghoul, Hussein Al Osman, Abdulmotaleb El Saddik ยท 2025

Human computer interaction has become integral to modern life, driven by advancements in machine learning technologies. Affective computing, in particular, has focused on systems that recognize, interโ€ฆ

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Improving AEBS Validation Through Objective Intervention Classification Leveraging the Prediction Divergence Principle

Daniel Betschinske, Steven Peters ยท 2025

The safety validation of automatic emergency braking system (AEBS) requires accurately distinguishing between false positive (FP) and true positive (TP) system activations. While simulations allow strโ€ฆ

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Engineering Preprint PDF DOI

Distributed Surface Inspection via Operational Modal Analysis by a Swarm of Miniaturized Vibration-Sensing Robots

Thiemen Siemensma, Niels de Boer, Bahar Haghighat ยท 2025

Robot swarms offer the potential to serve a variety of distributed sensing applications. An interesting real-world application that stands to benefit significantly from deployment of swarms is structuโ€ฆ

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Engineering Preprint PDF DOI

Towards Safe Autonomous Driving: A Real-Time Safeguarding Concept for Motion Planning Algorithms

Korbinian Moller, Rafael Neher, Marvin Seegert, Johannes Betz ยท 2025

Ensuring the functional safety of motion planning modules in autonomous vehicles remains a critical challenge, especially when dealing with complex or learning-based software. Online verification has โ€ฆ

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Engineering Preprint PDF DOI

mmFlux: Crowd Flow Analytics with Commodity mmWave MIMO Radar

Anurag Pallaprolu, Winston Hurst, Yasamin Mostofi ยท 2025

In this paper, we present mmFlux: a novel framework for extracting underlying crowd motion patterns and inferring crowd semantics using mmWave radar. First, our proposed signal processing pipeline comโ€ฆ

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Probability-Raising Causality for Uncertain Parametric Markov Decision Processes with PAC Guarantees

Ryohei Oura, Yuji Ito ยท 2025

Recent decision-making systems are increasingly complicated, making it crucial to verify and understand their behavior for a given specification. A promising approach is to comprehensively explain undโ€ฆ

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Incremental Averaging Method to Improve Graph-Based Time-Difference-of-Arrival Estimation

Klaus Brumann, Kouei Yamaoka, Nobutaka Ono, Simon Doclo ยท 2025

Estimating the position of a speech source based on time-differences-of-arrival (TDOAs) is often adversely affected by background noise and reverberation. A popular method to estimate the TDOA betweenโ€ฆ

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Dataset and Benchmark for Enhancing Critical Retained Foreign Object Detection

Yuli Wang, Victoria R. Shi, Liwei Zhou, Richard Chin, Yuwei Dai, Yuanyun Hu, Cheng-Yi Li, Haoyue Guan, Jiashu Cheng, Yu Sun, Cheng Ting Lin, Ihab Kamel, Premal Trivedi, Pamela Johnson, John Eng, Harrison Bai ยท 2025

Critical retained foreign objects (RFOs), including surgical instruments like sponges and needles, pose serious patient safety risks and carry significant financial and legal implications for healthcaโ€ฆ

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Precise Representation Model of SAR Saturated Interference: Mechanism and Verification

Lunhao Duan, Xingyu Lu, Yushuang Liu, Jianchao Yang, Hong Gu ยท 2025

Synthetic Aperture Radar (SAR) is highly susceptible to Radio Frequency Interference (RFI). Due to the performance limitations of components such as gain controllers and analog-to-digital converters iโ€ฆ

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Musical Source Separation Bake-Off: Comparing Objective Metrics with Human Perception

Noah Jaffe, John Ashley Burgoyne ยท 2025

Music source separation aims to extract individual sound sources (e.g., vocals, drums, guitar) from a mixed music recording. However, evaluating the quality of separated audio remains challenging, as โ€ฆ

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g2o vs. Ceres: Optimizing Scan Matching in Cartographer SLAM

Quanjie Qiu, MengCheng Lau ยท 2025

This article presents a comparative analysis of g2o and Ceres solvers in enhancing scan matching performance within the Cartographer framework. Cartographer, a widely-used library for Simultaneous Locโ€ฆ

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Experience-Centric Resource Management in ISAC Networks: A Digital Agent-Assisted Approach

Xinyu Huang, Yixiao Zhang, Yingying Pei, Jianzhe Xue, Xuemin Shen ยท 2025

In this paper, we propose a digital agent (DA)-assisted resource management scheme for enhanced user quality of experience (QoE) in integrated sensing and communication (ISAC) networks. Particularly, โ€ฆ

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Voltage Regulation in Distribution Systems with Data Center Loads

Yize Chen, Baosen Zhang ยท 2025

Recent boom in foundation models and AI computing have raised growing concerns on the power and energy trajectories of large-scale data centers. This paper focuses on the voltage issues caused by volaโ€ฆ

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Learning to Evaluate Autonomous Behaviour in Human-Robot Interaction

Matteo Tiezzi, Tommaso Apicella, Carlos Cardenas-Perez, Giovanni Fregonese, Stefano Dafarra, Pietro Morerio, Daniele Pucci, Alessio Del Bue ยท 2025

Evaluating and comparing the performance of autonomous Humanoid Robots is challenging, as success rate metrics are difficult to reproduce and fail to capture the complexity of robot movement trajectorโ€ฆ

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An AI-Driven Thermal-Fluid Testbed for Advanced Small Modular Reactors: Integration of Digital Twin and Large Language Models

Doyeong Lim, Yang Liu, Zavier Ndum Ndum, Christian Young, Yassin Hassan ยท 2025

This paper presents a multipurpose artificial intelligence (AI)-driven thermal-fluid testbed designed to advance Small Modular Reactor technologies by seamlessly integrating physical experimentation wโ€ฆ

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