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

pyMEAL: A Multi-Encoder Augmentation-Aware Learning for Robust and Generalizable Medical Image Translation

Abdul-mojeed Olabisi Ilyas, Adeleke Maradesa, Jamal Banzi, Jianpan Huang, Henry K.F. Mak, Kannie W.Y. Chan ยท 2025

Medical imaging is critical for diagnostics, but clinical adoption of advanced AI-driven imaging faces challenges due to patient variability, image artifacts, and limited model generalization. While dโ€ฆ

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Engineering Preprint PDF DOI

Edge Computing for Physics-Driven AI in Computational MRI: A Feasibility Study

Yasar Utku Alcalar, Yu Cao, Mehmet Akcakaya ยท 2025

Physics-driven artificial intelligence (PD-AI) reconstruction methods have emerged as the state-of-the-art for accelerating MRI scans, enabling higher spatial and temporal resolutions. However, the hiโ€ฆ

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Engineering Preprint PDF DOI

From Connectivity to Autonomy: The Dawn of Self-Evolving Communication Systems

Zeinab Nezami, Syed Danial Ali Shah, Maryam Hafeez, Karim Djemame, Syed Ali Raza Zaidi ยท 2025

This paper envisions 6G as a self-evolving telecom ecosystem, where AI-driven intelligence enables dynamic adaptation beyond static connectivity. We explore the key enablers of autonomous communicatioโ€ฆ

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Engineering Preprint PDF DOI

Advancing Image Super-resolution Techniques in Remote Sensing: A Comprehensive Survey

Yunliang Qi, Meng Lou, Yimin Liu, Lu Li, Zhen Yang, Wen Nie ยท 2025

Remote sensing image super-resolution (RSISR) is a crucial task in remote sensing image processing, aiming to reconstruct high-resolution (HR) images from their low-resolution (LR) counterparts. Despiโ€ฆ

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Engineering Preprint PDF DOI

Sensitivity of DC Network Representation for GIC Analysis

Aniruddh Mishra, Arthur K. Barnes, Jose E. Tabarez, Adam Mate ยท 2025

Geomagnetic disturbances are a threat to the reliability and security of our national critical energy infrastructures. These events specifically result in geomagnetically induced currents, which can cโ€ฆ

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Engineering Preprint PDF DOI

LLM-Synth4KWS: Scalable Automatic Generation and Synthesis of Confusable Data for Custom Keyword Spotting

Pai Zhu, Quan Wang, Dhruuv Agarwal, Kurt Partridge ยท 2025

Custom keyword spotting (KWS) allows detecting user-defined spoken keywords from streaming audio. This is achieved by comparing the embeddings from voice enrollments and input audio. State-of-the-art โ€ฆ

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Engineering Preprint PDF DOI

Local Stability and Region of Attraction Analysis for Neural Network Feedback Systems under Positivity Constraints

Hamidreza Montazeri Hedesh, Moh Kamalul Wafi, Milad Siami ยท 2025

We study the local stability of nonlinear systems in the Lur'e form with static nonlinear feedback realized by feedforward neural networks (FFNNs). By leveraging positivity system constraints, we emplโ€ฆ

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Engineering Preprint PDF DOI

Semantic Exploration and Dense Mapping of Complex Environments using Ground Robot with Panoramic LiDAR-Camera Fusion

Xiaoyang Zhan, Shixin Zhou, Qianqian Yang, Yixuan Zhao, Hao Liu, Srinivas Chowdary Ramineni, Kenji Shimada ยท 2025

This paper presents a system for autonomous semantic exploration and dense semantic target mapping of a complex unknown environment using a ground robot equipped with a LiDAR-panoramic camera suite. Eโ€ฆ

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Engineering Preprint PDF DOI

Toward Fully Neuromorphic Receivers for Ultra-Power Efficient Communications

George N. Katsaros, Konstantinos Nikitopoulos ยท 2025

Neuromorphic computing, inspired by biological neural systems, has emerged as a promising approach for ultra-energy-efficient data processing by leveraging analog neuron structures and spike-based comโ€ฆ

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Engineering Preprint PDF DOI

Cascaded 3D Diffusion Models for Whole-body 3D 18-F FDG PET/CT synthesis from Demographics

Siyeop Yoon, Sifan Song, Pengfei Jin, Matthew Tivnan, Yujin Oh, Sekeun Kim, Dufan Wu, Xiang Li, Quanzheng Li ยท 2025

We propose a cascaded 3D diffusion model framework to synthesize high-fidelity 3D PET/CT volumes directly from demographic variables, addressing the growing need for realistic digital twins in oncologโ€ฆ

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Engineering Preprint PDF DOI

Real-World Deployment of Cloud-based Autonomous Mobility Systems for Outdoor and Indoor Environments

Yufeng Yang, Minghao Ning, Keqi Shu, Aladdin Saleh, Ehsan Hashemi, Amir Khajepour ยท 2025

Autonomous mobility systems increasingly operate in dense and dynamic environments where perception occlusions, limited sensing coverage, and multi-agent interactions pose major challenges. While onboโ€ฆ

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Engineering Preprint PDF DOI

Fast and Cost-effective Speculative Edge-Cloud Decoding with Early Exits

Yeshwanth Venkatesha, Souvik Kundu, Priyadarshini Panda ยท 2025

Large Language Models (LLMs) enable various applications on edge devices such as smartphones, wearables, and embodied robots. However, their deployment often depends on expensive cloud-based APIs, creโ€ฆ

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Engineering Preprint PDF DOI

Stochastic Geometry-Based Performance Evaluation for LEO Satellite-Assisted Space Caching

Chunyi Ma, Jiajie Xu, Jianhua Yang, Mustafa A. Kishk ยท 2025

To achieve the Internet of Things (IoT) vision,Mobile Edge Computing (MEC) is a promising technology aimed at providing low-latency computing services to user equipment (UE). However, terrestrial MEC โ€ฆ

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Collision Probability Estimation for Optimization-based Vehicular Motion Planning

Leon Tolksdorf, Arturo Tejada, Christian Birkner, Nathan van de Wouw ยท 2025

Many motion planning algorithms for automated driving require estimating the probability of collision (POC) to account for uncertainties in the measurement and estimation of the motion of road users. โ€ฆ

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Engineering Preprint PDF DOI

DeepMultiConnectome: Deep Multi-Task Prediction of Structural Connectomes Directly from Diffusion MRI Tractography

Marcus J. Vroemen, Yuqian Chen, Yui Lo, Tengfei Xue, Weidong Cai, Fan Zhang, Josien P.W. Pluim, Lauren J. O'Donnell ยท 2025

Diffusion MRI (dMRI) tractography enables in vivo mapping of brain structural connections, but traditional connectome generation is time-consuming and requires gray matter parcellation, posing challenโ€ฆ

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Reduced and mixed precision turbulent flow simulations using explicit finite difference schemes

Balint Siklosi, Pushpender K. Sharma, David J. Lusher, Istvan Z. Reguly, Neil D. Sandham ยท 2025

The use of reduced and mixed precision computing has gained increasing attention in high-performance computing (HPC) as a means to improve computational efficiency, particularly on modern hardware arcโ€ฆ

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Engineering Preprint PDF DOI

Synergising Hierarchical Data Centers and Power Networks: A Privacy-Preserving Approach

Junhong Liu, Fei Teng, Yunhe Hou ยท 2025

In the era of digitization, data centers have emerged as integral contributors sustaining our interlinked world, bearing responsibility for an increasing proportion of the world's energy consumption. โ€ฆ

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Engineering Preprint PDF DOI

A Feasibility Study of Task-Based fMRI at 0.55 T

Parsa Razmara, Takfarinas Medani, Anand A. Joshi, Majid Abbasi Sisara, Ye Tian, Sophia X. Cui, Justin P. Haldar, Krishna S. Nayak, Richard M. Leahy ยท 2025

0.55T MRI offers advantages compared to conventional field strengths, including reduced susceptibility artifacts and better compatibility with simultaneous EEG recordings. However, reliable task-basedโ€ฆ

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Engineering Preprint PDF DOI

Chain-of-Thought for Autonomous Driving: A Comprehensive Survey and Future Prospects

Yixin Cui, Haotian Lin, Shuo Yang, Yixiao Wang, Yanjun Huang, Hong Chen ยท 2025

The rapid evolution of large language models in natural language processing has substantially elevated their semantic understanding and logical reasoning capabilities. Such proficiencies have been levโ€ฆ

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Engineering Preprint PDF DOI

Target Tracking via LiDAR-RADAR Sensor Fusion for Autonomous Racing

Marcello Cellina, Matteo Corno, Sergio Matteo Savaresi ยท 2025

High Speed multi-vehicle Autonomous Racing will increase the safety and performance of road-going Autonomous Vehicles. Precise vehicle detection and dynamics estimation from a moving platform is a keyโ€ฆ

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