Results 61 to 70 of about 8,789 (209)

HySE: A Force‐Directed Layout Algorithm for Directed and Mixed Graphs

open access: yesComputer Graphics Forum, EarlyView.
We present HySE, a novel graph layout algorithm for mixed graphs combining directed and undirected components. Using a holistic spring embedder approach, HySE unifies hierarchical and force‐directed aesthetics, supports non‐uniform node sizes, and performs comparably to state‐of‐the‐art algorithms.
Ugur Dogrusoz, Hamza Islam, Hasan Balci
wiley   +1 more source

Interventional Root‐Cause Analysis of Quality‐of‐Service Degradation in LEO Satellite‐User Assignment

open access: yesInternational Journal of Network Management, Volume 36, Issue 5, September/October 2026.
ABSTRACT Operators of low Earth orbit (LEO) access networks increasingly diagnose quality‐of‐service (QoS) degradation with observational machine‐learning attribution, yet when the candidate causes are produced by the resource‐management policy itself, observational attribution is unsafe: it assigns the degradation to factors that an operator cannot ...
Edson José Pacheco   +1 more
wiley   +1 more source

Improved Q Network Auto-Scaling in Microservice Architecture

open access: yesApplied Sciences, 2022
Microservice architecture has emerged as a powerful paradigm for cloud computing due to its high efficiency in infrastructure management as well as its capability of largescale user service.
Yeonggwang Kim   +3 more
doaj   +1 more source

Optimizing Context and Cost in LLM‐Based Unit Test Generation: A Study on External Dependency Retrieval Strategies

open access: yesExpert Systems, Volume 43, Issue 10, October 2026.
ABSTRACT While Large Language Models (LLMs) have demonstrated remarkable capabilities in code generation, their effectiveness in unit testing is often constrained by insufficient context regarding external dependencies. This limitation is particularly pronounced in industrial settings, where proprietary code remains opaque to the model. To address this
Javier Ferrer, Francisco Chicano
wiley   +1 more source

Microservice decomposition and message queues.

open access: yes, 2023
Microservice architecture has gained significant popularity in recent years due to its ability to improve the scalability, maintainability, and flexibility of software systems. In this thesis, we propose an approach for microservice decomposition using a
Maharjan, Rokin, 1994-
core   +1 more source

Automatic Analysis of Complex Interactions in Microservice Systems

open access: yesComplexity, 2020
Interactions in microservice systems are complex due to three dimensions: numerous asynchronous interactions, the diversity of asynchronous communication, and unbounded buffers. Analyzing such complex interactions is challenging.
Fei Dai   +5 more
doaj   +1 more source

From Monolith to Microservice: Measuring Architecture Maintainability

open access: yes, 2023
The migration of monolithic applications to the cloud is a popular trend, with microservice architecture being a commonly targeted architectural pattern.
Osman, Mohd. Hafeez   +7 more
core   +1 more source

Soluble protein analog selection engine (SPASE): An automated AI‐powered server to improve protein engineering workflows

open access: yesProtein Science, Volume 35, Issue 9, September 2026.
Abstract The design of proteins with desired biophysical properties, such as high solubility and low aggregation propensity, is crucial for various biotechnological and biomedical applications. While deep learning‐based methods like ProteinMPNN have shown remarkable success in protein sequence design, their direct output may not always exhibit optimal ...
Sacha T. Larda   +2 more
wiley   +1 more source

Generative AI Implementation in Enterprises: Lessons From a Case Study of Enhanced IT Service Management

open access: yesInformation Systems Journal, Volume 36, Issue 5, Page 661-690, September 2026.
ABSTRACT The recent rise of Generative Artificial Intelligence (GenAI) is fundamentally changing the way businesses operate, with many now investing heavily in this technology. However, businesses are still exploring ways to extract value from GenAI and develop organisational capabilities.
Ashish Jagdish Sharma   +4 more
wiley   +1 more source

CrossMatAgent: AI‐Assisted Design of Manufacturable Metamaterial Patterns via Multi‐Agent Generative Framework

open access: yesAdvanced Intelligent Discovery, Volume 2, Issue 4, August 2026.
CrossMatAgent is a multi‐agent framework that combines large language models and diffusion‐based generative AI to automate metamaterial design. By coordinating task‐specific agents—such as describer, architect, and builder—it transforms user‐provided image prompts into high‐fidelity, printable lattice patterns.
Jie Tian   +12 more
wiley   +1 more source

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