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

OptiVote: Non-Coherent FSO Over-the-Air Majority Vote for Communication-Efficient Distributed Federated Learning in Space Data Centers

Anbang Zhang, Chenyuan Feng, Wai Ho Mow, Jia Ye, Shuaishuai Guo, Geyong Min, Tony Q. S. Quek ยท 2025

The rapid deployment of mega-constellations is driving the long-term vision of space data centers (SDCs), where interconnected satellites form in-orbit distributed computing and learning infrastructurโ€ฆ

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Engineering Preprint PDF DOI

3D Path-Following Guidance via Nonlinear Model Predictive Control for Fixed-Wing Small UAS

Camron Alexander Hirst, Chris Reale, Eric Frew ยท 2025

This paper presents the design, implementation, and flight test results of two novel 3D path-following guidance algorithms based on nonlinear model predictive control (MPC), with specific application โ€ฆ

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Engineering Preprint PDF DOI

Generative Video Compression: Towards 0.01% Compression Rate for Video Transmission

Xiangyu Chen, Jixiang Luo, Jingyu Xu, Fangqiu Yi, Chi Zhang, Xuelong Li ยท 2025

Whether a video can be compressed at an extreme compression rate as low as 0.01%? To this end, we achieve the compression rate as 0.02% at some cases by introducing Generative Video Compression (GVC),โ€ฆ

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Engineering Preprint PDF DOI

Now or Never: Continuous Surveillance AIoT System for Ephemeral Events in Intermittent Sensor Networks

Joonhee Lee, Kichang Lee, Jeonggil Ko ยท 2025

Wilderness monitoring tasks, such as poaching surveillance and forest fire detection, require pervasive and high-accuracy sensing. While AIoT offers a promising path, covering vast, inaccessible regioโ€ฆ

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Engineering Preprint PDF DOI

Hardware Acceleration for Neural Networks: A Comprehensive Survey

Bin Xu, Ayan Banerjee, Sandeep Gupta ยท 2025

Neural networks have become dominant computational workloads across cloud and edge platforms, but their rapid growth in model size and deployment diversity has exposed hardware bottlenecks increasinglโ€ฆ

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Engineering Preprint PDF DOI

A Review of Community-Centric Power Systems Resilience Assessment and Enhancement Strategies

Masoud H. Nazaria, Hamid Varmazyari, Antar Kumar Biswas, Umit Cali, Hollis Belnap, Masood Parvania ยท 2025

This paper presents a comprehensive review of resilience metrics, covering both engineering-based measures, such as fragility-curve modeling, and data-driven approaches, including triangular and trapeโ€ฆ

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Engineering Preprint PDF DOI

NashOpt - A Python Library for Computing Generalized Nash Equilibria

Alberto Bemporad ยท 2025

NashOpt is an open-source Python library for computing and designing generalized Nash equilibria (GNEs) in noncooperative games with shared constraints and real-valued decision variables. The library โ€ฆ

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Engineering Preprint PDF DOI

Optimal Scalability-Aware Allocation of Swarm Robots: From Linear to Retrograde Performance via Marginal Gains

Simay Atasoy Bingol, Tobias Topfer, Sven Kosub, Heiko Hamann, Andreagiovanni Reina ยท 2025

In collective systems, the available agents are a limited resource that must be allocated among tasks to maximize collective performance. Computing the optimal allocation of several agents to numerousโ€ฆ

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Engineering Preprint PDF DOI

Two-Robot Computational Landscape: A Complete Characterization of Model Power in Minimal Mobile Robot Systems

Naoki Kitamura, Yuichi Sudo, Koichi Wada ยท 2025

The computational power of autonomous mobile robots under the Look-Compute-Move (LCM) model has been widely studied through an extensive hierarchy of robot models defined by the presence of memory, coโ€ฆ

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Engineering Preprint PDF DOI

Synthesis of signal processing algorithms with constraints on minimal parallelism and memory space

Sergey Salishev ยท 2025

This thesis develops signal-processing algorithms and implementation schemes under constraints of minimal parallelism and memory space, with the goal of improving energy efficiency of low-power computโ€ฆ

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Engineering Preprint PDF DOI

Optimal Regulation of Nonlinear Input-Affine Systems via an Integral Reinforcement Learning-Based State-Dependent Riccati Equation Approach

Arya Rashidinejad Meibodi, Mahbod Gholamali Sinaki, Khalil Alipour ยท 2025

The State-Dependent Riccati Equation (SDRE) technique generalizes the classical algebraic Riccati formulation to nonlinear systems by designing an input to the system that optimally(suboptimally) reguโ€ฆ

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Engineering Preprint PDF DOI

Real-Time Multi-Target Detection and Tracking with mmWave 5G NR Waveforms on RFSoC

Xinyang Li, Hian Zing Voon, Vlad C. Andrei, Alexander Sessler, Nunzio Sciammetta, Ullrich J. Monich, Dominic A. Schupke, Holger Boche ยท 2025

We demonstrate a real-time implementation of multi-target detection and tracking using 5G New Radio (NR) physical downlink shared channel (PDSCH) waveform with 400 MHz bandwidth at 28 GHz carrier freqโ€ฆ

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Engineering Preprint PDF DOI

A Unified AI, Embedded, Simulation, and Mechanical Design Approach to an Autonomous Delivery Robot

Amro Gamar, Ahmed Abduljalil, Alargam Mohammed, Ali Elhenidy, Abeer Tawakol ยท 2025

This paper presents the development of a fully autonomous delivery robot integrating mechanical engineering, embedded systems, and artificial intelligence. The platform employs a heterogeneous computiโ€ฆ

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Engineering Preprint PDF DOI

When the Base Station Flies: Rethinking Security for UAV-Based 6G Networks

Ammar El Falou ยท 2025

The integration of non-terrestrial networks (NTNs) into 6G systems is crucial for achieving seamless global coverage, particularly in underserved and disaster-prone regions. Among NTN platforms, unmanโ€ฆ

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Engineering Preprint PDF DOI

Robust and Efficient MuJoCo-based Model Predictive Control via Web of Affine Spaces Derivatives

Chen Liang, Daniel Rakita ยท 2025

MuJoCo is a powerful and efficient physics simulator widely used in robotics. One common way it is applied in practice is through Model Predictive Control (MPC), which uses repeated rollouts of the siโ€ฆ

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Engineering Preprint PDF DOI

LSTM-Based Modeling and Reinforcement Learning Control of a Magnetically Actuated Catheter

Arya Rashidinejad Meibodi, Mahbod Gholamali Sinaki, Khalil Alipour ยท 2025

Autonomous magnetic catheter systems are emerging as a promising approach for the future of minimally invasive interventions. This study presents a novel approach that begins by modeling the nonlinearโ€ฆ

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Engineering Preprint PDF DOI

Proprioception Enhances Vision Language Model in Generating Captions and Subtask Segmentations for Robot Task

Kanata Suzuki, Shota Shimizu, Tetsuya Ogata ยท 2025

From the perspective of future developments in robotics, it is crucial to verify whether foundation models trained exclusively on offline data, such as images and language, can understand the robot moโ€ฆ

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Engineering Preprint PDF DOI

Divergence Method to Stability Study of Andronov-Vyshnegradsky Problem. Hidden Oscillations

I.B. Furtat, N.V. Kuznetsov ยท 2025

The classical Andronov-Vyshnegradsky problem, which deals with locating regions of stability and oscillations in control systems with a Watt regulator, is solved using a divergence method for studyingโ€ฆ

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Engineering Preprint PDF DOI

Joint Design of Embedded Index Coding and Beamforming for MIMO-based Distributed Computing via Multi-Agent Reinforcement Learning

Heekang Song, Wan Choi ยท 2025

In distributed computing systems, reducing the communication load during the data shuffling phase is a critical challenge, as excessive inter-node transmissions are a major performance bottleneck. Oneโ€ฆ

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Engineering Preprint PDF DOI

From Optimization to Learning: Dual-Approach Resource Allocation for Over-the-Air Edge Computing Under Execution Uncertainty

Tuo Wu, Xiazhi Lai, Shihang Lu, Zihao Chen, Xiaotong Zhao, Yuanhao Cui ยท 2025

The exponential proliferation of mobile devices and data-intensive applications in future wireless networks imposes substantial computational burdens on resource-constrained devices, thereby fosteringโ€ฆ

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