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Showing 247 results for "leonardo ripoli" in Computer Science
Computer Science Preprint PDF DOI

Detecting Avalanche Effect in Adversarial Settings: Spotting the Encryption Loops in Ransomware

Nanqing Luo, Xusheng Li, Haizhou Wang, Shuangyi Zhu, Yuan Ma, Peng Liu · 2026

Spotting encryption loops in binary-only ransomware is a critical reverse engineering task. Since the existence of avalanche effect, an intrinsic characteristic of any secure encryption algorithms, is…

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Computer Science Preprint PDF DOI

A Physics-Based Digital Human Twin for Galvanic-Coupling Wearable Communication Links

Silvia Mura, Chiara Cavigliano, Anna Marcucci, Pietro Savazzi, Anna Vizziello, Maurizio Magarini · 2026

This paper presents a systematic characterization of wearable galvanic coupling (GC) channels under narrowband and wideband operation. A physics-consistent digital human twin maps anatomical propertie…

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Computer Science Preprint PDF DOI

Coupling-Aware RHS Beamforming for Wideband Multi-User Sum Rate Maximization

Liangshun Wu, Wen Chen · 2026

Wideband multi-user transmission assisted by reconfigurable holographic surfaces (RHSs) is fundamentally limited by mutual coupling effect among densely packed sub-wavelength radiation elements. This …

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Computer Science Preprint PDF DOI

RippleGUItester: Change-Aware Exploratory Testing

Yanqi Su, Michael Pradel, Chunyang Chen · 2026

Software systems evolve continuously through frequent code changes, yet such changes often introduce unintended bugs despite extensive testing and code review. Existing testing approaches are largely …

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Computer Science Preprint PDF DOI

Guided Wireless Technology for Near-Field Communication

Mohamed Akrout, Amine Mezghani, Faouzi Bellili, Robert W. Heath · 2026

Guided wireless technology is an innovative approach that combines the strengths of guided waves and wireless communication. In traditional wireless systems, signals propagate through the air, where t…

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Computer Science Preprint PDF DOI

Human-AI Interaction: Evaluating LLM Reasoning on Digital Logic Circuit included Graph Problems, in terms of creativity in design and analysis

Yogeswar Reddy Thota, Setareh Rafatirad, Homayoun Houman, Tooraj Nikoubin · 2026

Large Language Models (LLMs) are increasingly used by undergraduate students as on-demand tutors, yet their reliability on circuit- and diagram-based digital logic problems remains unclear. We present…

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Computer Science Preprint PDF DOI

The Influence of Code Smells in Efferent Neighbors on Class Stability

Zushuai Zhang, Elliott Wen, Ewan Tempero · 2026

Understanding what drives code instability is essential for effective software maintenance, as unstable classes require larger or more frequent edits and increase the risk of unintended side effects. …

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Computer Science Preprint PDF DOI

RIPPLE: Lifecycle-aware Embedding of Service Function Chains in Multi-access Edge Computing

Federico Giarre, Holger Karl · 2026

In Multi-access Edge Computing networks, services can be deployed on nearby edge clouds (EC) as service function chains (SFCs) to meet strict quality of service (QoS) requirements. As users move, freq…

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Computer Science Preprint PDF DOI

iScheduler: Reinforcement Learning-Driven Continual Optimization for Large-Scale Resource Investment Problems

Yi-Xiang Hu, Yuke Wang, Feng Wu, Zirui Huang, Shuli Zeng, Xiang-Yang Li · 2026

Scheduling precedence-constrained tasks under shared renewable resources is central to modern computing platforms. The Resource Investment Problem (RIP) models this setting by minimizing the cost of p…

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Computer Science Preprint PDF DOI

Advancing RT Core-Accelerated Fixed-Radius Nearest Neighbor Search

Enzo Meneses, Hugo Bec, Cristobal A. Navarro, Benoit Crespin, Felipe A. Quezada, Nancy Hitschfeld, Heinich Porro, Maxime Maria · 2026

In this work we introduce three ideas that can further improve particle FRNN physics simulations running on RT Cores; i) a real-time update/rebuild ratio optimizer for the bounding volume hierarchy (B…

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Computer Science Preprint PDF DOI

RIPPLE++: An Incremental Framework for Efficient GNN Inference on Evolving Graphs

Pranjal Naman, Parv Agarwal, Hrishikesh Haritas, Yogesh Simmhan · 2026

Real-world graphs are dynamic, with frequent updates to their structure and features due to evolving vertex and edge properties. These continual changes pose significant challenges for efficient infer…

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Computer Science Preprint PDF DOI

Attention Mechanism and Heuristic Approach: Context-Aware File Ranking Using Multi-Head Self-Attention

Pradeep Kumar Sharma, Shantanu Godbole, Sarada Prasad Jena, Hritvik Shrivastava · 2026

The identification and ranking of impacted files within software reposi-tories is a key challenge in change impact analysis. Existing deterministic approaches that combine heuristic signals, semantic …

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Computer Science Preprint PDF DOI

SPUMA: a minimally invasive approach to the GPU porting of OPENFOAM

Simone Bna, Giuseppe Giaquinto, Ettore Fadiga, Tommaso Zanelli, Francesco Bottau · 2025

High Performance Computing (HPC) on hybrid clusters represents a significant opportunity for Computational Fluid Dynamics (CFD), especially when modern accelerators are utilized effectively. However, …

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Computer Science Preprint PDF DOI

Urban Buildings Energy Consumption Estimation Using HPC: A Case Study of Bologna

Aldo Canfora, Eleonora Bergamaschi, Riccardo Mioli, Federico Battini, Mirko Degli Esposti, Giorgio Pedrazzi, Chiara Dellacasa · 2025

Urban Building Energy Modeling (UBEM) plays a central role in understanding and forecasting energy consumption at the city scale. In this work, we present a UBEM pipeline that integrates EnergyPlus si…

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Computer Science Preprint PDF DOI

Emotional Contagion in Code: How GitHub Emoji Reactions Shape Developer Collaboration

Obada Kraishan · 2025

Developer communities increasingly rely on emoji reactions to communicate, but we know little about how these emotional signals spread and influence technical discussions. We analyzed 2,098 GitHub iss…

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Computer Science Preprint PDF DOI

The Iceberg Index: Measuring Skills-centered Exposure in the AI Economy

Ayush Chopra, Santanu Bhattacharya, DeAndrea Salvador, Ayan Paul, Teddy Wright, Aditi Garg, Feroz Ahmad, Alice C. Schwarze, Ramesh Raskar, Prasanna Balaprakash · 2025

Artificial Intelligence is reshaping America's \$9.4 trillion labor market, with cascading effects that extend far beyond visible technology sectors. When AI transforms quality control tasks in automo…

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Computer Science Preprint PDF DOI

Towards Exascale Computing for Astrophysical Simulation Leveraging the Leonardo EuroHPC System

Nitin Shukla, Alessandro Romeo, Caterina Caravita, Michael Redenti, Radim Vavrik, Lubomir Riha, Andrea Mignone, Marco Rossazza, Stefano Truzzi, Luca Tornatore, Antonio Ragagnin, Tiago Castro, Geray S. Karademir, Klaus Dolag, Pranab J. Deka, Fabio Bacchini, Rostislav-Paul Wilhelm, Daniele Gregori, Elisabetta Boella · 2025

Developing and redesigning astrophysical, cosmological, and space plasma numerical codes for existing and next-generation accelerators is critical for enabling large-scale simulations. To address thes…

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Computer Science Preprint PDF DOI

Old is Gold: Optimizing Single-threaded Applications with Exgen-Malloc

Ruihao Li, Lizy K. John, Neeraja J. Yadwadkar · 2025

Memory allocators hide beneath nearly every application stack, yet their performance footprint extends far beyond their code size. Even small inefficiencies in the allocators ripple through caches and…

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Computer Science Preprint PDF DOI

Regulating Social Media: Surveying the Impact of Nepali Government's TikTok Ban

Prerana Khatiwada, Alejandro Ciuba, Aditya Nayak, Aakash Gautam, Matthew Louis Mauriello · 2025

Social media platforms have transformed global communication and interaction, with TikTok emerging as a critical tool for education, connection, and social impact, including in contexts where infrastr…

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Computer Science Preprint PDF DOI

The AI_INFN Platform: Artificial Intelligence Development in the Cloud

Lucio Anderlini, Giulio Bianchini, Diego Ciangottini, Stefano Dal Pra, Diego Michelotto, Rosa Petrini, Daniele Spiga · 2025

Machine Learning (ML) is profoundly reshaping the way researchers create, implement, and operate data-intensive software. Its adoption, however, introduces notable challenges for computing infrastruct…

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