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Showing 164887 results for "computing methodologies"
Computer Science Preprint PDF DOI

Synthetic Biological Intelligence: System-Level Abstractions and Adaptive Bio-Digital Interaction

Martin Schottlender, Pengjie Zhou, Veronika Volkova, Fatima Rani, Ruifeng Zheng, Juan A. Cabrera, Frank H.P. Fitzek, Pit Hofmann · 2026

Concurrent advances across fields such as organoid technology, Microelectrode Arrays (MEAs), neuromorphic computing, and machine learning have given rise to a groundbreaking research paradigm: Synthet…

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Physics Preprint PDF DOI

Towards High Performance Quantum Computing (HPQ): Parallelisation of the Hamiltonian Auto Decomposition Optimisation Framework (HADOF)

Namasi G Sankar, Georgios Miliotis, Simon Caton · 2026

Practical applicability of quantum optimisation on near term devices is constrained by limited qubit counts and hardware noise, which restricts the scalability of quantum optimisation algorithms for c…

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Physics Preprint PDF DOI

TESS Asteroseismology of Red Giants in the Old Metal-Rich Open Clusters NGC 188 & NGC 6791

Madeline Howell, Jennifer A. Johnson, Marc H. Pinsonneault, Leslie M. Morales, Jamie Tayar, John D. Roberts, Dennis Stello, Madeleine McKenzie · 2026

Open clusters are fundamental laboratories for investigating stellar and Galactic evolution, and serve as important benchmarks for asteroseismic analyses. Using a boutique method to analyze TESS photo…

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AI & Data Science Preprint PDF DOI

Focus Session: Autonomous Systems Dependability in the era of AI: Design Challenges in Safety, Security, Reliability and Certification

Behnaz Ranjbar, Kirankumar Raveendiran, Sudeep Pasricha, Samarjit Chakraborty, Cecilia Carbonelli, Akash Kumar · 2026

The design of embedded safety-critical systems such as those used in next-generation automotive and autonomous platforms, is increasingly challenged by escalating system complexity, hardware-software …

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AI & Data Science Preprint PDF DOI

Reversible Jump MCMC With No Regrets: Bayesian Variable Selection Using Mixtures of Mutually Singular Distributions

Don van den Bergh, Merlise A. Clyde, Adrian E. Raftery, Maarten Marsman · 2026

Bayesian variable selection requires sampling from a posterior distribution that combines discrete model indicators with continuously varying parameters, a challenge often addressed through reversible…

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AI & Data Science Preprint PDF DOI

Autonomous Traffic Signal Optimization Using Digital Twin and Agentic AI for Real-Time Decision-Making

Salman Jan, Toqeer Ali Syed, Shahid Kamal, Qamar Wali, Ali Akarma · 2026

This article outlines a new framework of traffic light optimization through a digital twin of the transport infrastructure, managed by agentic AI to ensure real-time autonomous decisions. The framewor…

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Computer Science Preprint PDF DOI

Average-Tree Phylogenetic Diversity Parameterized by Scanwidth and Invisibility

Leo van Iersel, Mark Jones, Jannik Schestag, Celine Scornavacca, Mathias Weller · 2026

We investigate parameterized algorithms for computing the average-tree phylogenetic diversity (APD) in rooted phylogenetic networks, studying the problem under different structural parameters that cap…

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Computer Science Preprint PDF DOI

How Code Representation Shapes False-Positive Dynamics in Cross-Language LLM Vulnerability Detection

Maofei Chen, Laifu Wang, Yue Qin, Yuan Wang, Bo Wu, Dongxin Liu · 2026

How code representation format shapes false positive behaviour in cross-language LLM vulnerability detection remains poorly understood. We systematically vary training intensity and code representatio…

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AI & Data Science Preprint PDF DOI

Bridging Values and Behavior: A Hierarchical Framework for Proactive Embodied Agents

Chunhui Zhang, Yuxuan Wang, Aoyang Qin, Yi-Long Lu, Kunlun Wu, Yizhou Wang, Wei Wang · 2026

Current embodied agents are often limited to passive instruction-following or reactive need-satisfaction, lacking a stable, high-order value framework essential for long-term, self-directed behavior a…

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Physics Preprint PDF DOI

Radio signal generation in milliseconds: enabling multi-parameter reconstruction of ultra-high-energy cosmic rays

Arsene Ferriere (for the GRAND Collaboration) · 2026

In recent years, radio detection of ultra-high-energy cosmic rays (UHECRs), with energies above $10^{18}$ eV, has become an established technique. The radio emissions can be simulated with high accura…

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Physics Preprint PDF DOI

Observation of attractor transitions in active magnon-polaritons under microwatt drives

Hao Wu, Qichun Liu, Yuanbin Fan, Yulong Liu, Qing Zhao · 2026

Magnon-polaritons provide a room-temperature platform for investigating nonlinear cavity quantum electrodynamics in the microwave domain, but experimentally observing controlled transitions among dist…

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Physics Preprint PDF DOI

An Analytical Approach to Design Space Exploration for Cavity-Mediated Quantum State Transfer in Multi-core Architectures

Biel Pons Zaragoza, Junaid Khan, Rohit Sarma Sarkar, Sahar Ben Rached, Carmen G. Almudever, Eduard Alarcon, Sergi Abadal · 2026

In multi-core quantum computing architectures, waveguide-mediated interconnects are essential for facilitating fast, high-fidelity quantum state transfer between qubits located in different chips. How…

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Mathematics Preprint PDF DOI

Propagation of nonlinear pulses near diffractive points of any order

Jian Wang, Mark Williams · 2026

We construct pulse-type approximate solutions to nonlinear hyperbolic equations near diffractive points, allowing arbitrary (even infinite) order of grazing. We show that in low regularity spaces and …

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Medicine & Health Preprint PDF DOI

Mechanistic driven TCP and NTCP modeling for particle therapy accounting for a broad range of physical irradiation parameters and tissue environmental conditions

Marco Battestini, Jules Morand, Giulio Bordieri, Marta Missiaggia, Emanuele Scifoni, Francesco G. Cordoni · 2026

In conventional radiotherapy, the probability of controlling tumor growth is quantified using Tumor Control Probability (TCP) models. Instead, the probability of experiencing a side effect after the i…

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Physics Preprint PDF DOI

Neuronal arithmetic operators based on Ovonic threshold switches (OTS) for biologically inspired analog computing

Jingyeong Hwang, Jaesang Lee, Jiin Bang, Younghyun Lee, Unhyeon Kang, Seungmin Oh, Kyungmin Lee, Jaehyun Park, Seongsik Park, Hyun Jae Jang, Sangbum Kim, Min Hyuk Park, Suyoun Lee · 2026

Biological neurons perform arithmetic computations - including additive integration and divisive gain modulation - through synaptic conductance changes and shunting inhibition, enabling context-depend…

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AI & Data Science Preprint PDF DOI

Green Physics-Informed Machine Learning Models For Structural Health Monitoring

Daisy R Bradley, Elizabeth J Cross · 2026

Machine learning continues to emerge as an important tool to be utilised within structural engineering and structural health monitoring, due to its ability to accurately and quickly perform both regre…

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Biology & Life Sciences Preprint PDF DOI

A stochastic agent-based extension of the GSM2 model for particle therapy: cell-cycle dynamics, dose-rate dependence, and fractionation effects

Francesco G. Cordoni, Marco Battestini, Marta Missiaggia · 2026

Accurately linking microscopic energy deposition from ionizing radiation to emergent biological outcomes remains a central challenge in radiobiological modelling, particularly when stochastic damage i…

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AI & Data Science Preprint PDF DOI

Privacy-Preserving Federated Learning via Differential Privacy and Homomorphic Encryption for Cardiovascular Disease Risk Modeling

Gaurang Sharma, Juha Pajula, Aada Illikainen, Markus Rautell, Noora Lipsonen, Petri Alhainen, Mika Hilvo · 2026

Protecting sensitive health data while enabling collaborative analysis is a central challenge in healthcare. Traditional machine learning (ML) requires institutions to pool anonymized patient records,…

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Physics Preprint PDF DOI

Magnonic Gottesman-Kitaev-Preskill states

Zi-Xu Lu, Gang Liu, Matteo Fadel, Jie Li · 2026

Bosonic quantum error correction encodes a logical qubit in an oscillator, avoiding the hardware overhead of large qubit arrays. Among such encodings, Gottesman-Kitaev-Preskill (GKP) states are paticu…

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Physics Preprint PDF DOI

Computation of frequency- and time-domain Jacobians in optical tomography with Monte Carlo simulations

Pauliina Hirvi, Jaakko Olkkonen, Qianqian Fang, Ilkka Nissila · 2026

Significance: Jacobians, or spatially resolved sensitivity profiles, are central to image reconstruction in model-based optical tomography of biological tissue. Although Monte Carlo (MC) simulations a…

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