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AlliGator: Open source fluorescence lifetime imaging analysis in G 短吻鳄：开源荧光寿命成像分析

IF 2.4 4区计算机科学

SoftwareX Pub Date : 2025-07-22 DOI: 10.1016/j.softx.2025.102255

Xavier Michalet

引用次数: 0

Introspector: A general-purpose tool for visualizing and comparing runtime object structures on the Java platform Introspector：用于在Java平台上可视化和比较运行时对象结构的通用工具

IF 2.4 4区计算机科学

SoftwareX Pub Date : 2025-07-21 DOI: 10.1016/j.softx.2025.102250

Francisco Ortin , Oscar Rodriguez-Prieto , Miguel Garcia

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引用次数: 0

LangBiTe: An open-source platform to automate bias testing of large language models LangBiTe：一个用于自动化大型语言模型偏差测试的开源平台

IF 2.4 4区计算机科学

SoftwareX Pub Date : 2025-07-19 DOI: 10.1016/j.softx.2025.102248

Sergio Morales , Robert Clarisó , Jordi Cabot

引用次数: 0

NeuMC — A package for neural sampling for lattice field theories NeuMC -一个用于晶格场理论的神经采样包

IF 2.4 4区计算机科学

SoftwareX Pub Date : 2025-07-19 DOI: 10.1016/j.softx.2025.102253

Piotr Białas , Piotr Korcyl , Tomasz Stebel , Dawid Zapolski

引用次数: 0

Bio-Eng-LLM AI Assist: A modular chatbot platform for interdisciplinary research and education Bio-Eng-LLM AI Assist：一个跨学科研究和教育的模块化聊天机器人平台

IF 2.4 4区计算机科学

SoftwareX Pub Date : 2025-07-18 DOI: 10.1016/j.softx.2025.102260

Ali Forootani , Danial Esmaeili Aliabadi , Daniela Thrän

{"title":"Bio-Eng-LLM AI Assist: A modular chatbot platform for interdisciplinary research and education","authors":"Ali Forootani , Danial Esmaeili Aliabadi , Daniela Thrän","doi":"10.1016/j.softx.2025.102260","DOIUrl":"10.1016/j.softx.2025.102260","url":null,"abstract":"<div><div>This article presents <span>Bio-Eng-LLM</span> <span>AI</span> <span>chatbot</span> Assist, a versatile platform designed to support interactive learning and research across multiple disciplines. Initially developed for biomass research, the system’s capabilities have since expanded to serve broader educational and scientific domains. It integrates large language models (<span>LLM</span>s) with advanced tools for document analysis, real-time file and web data integration, image understanding, and speech recognition. At the core of the platform lies a Retrieval Augmented Generation (<span>RAG</span>) framework, which improves the contextual relevance and factual accuracy of responses by incorporating external information sources. <span>Bio-Eng-LLM</span> also includes image generation via diffusion models and secure web-based search and summarization features. Its user-friendly interface supports multimodal interactions – text, image, and voice – enabling dynamic and personalized assistance in academic environments. By simplifying access to complex information and promoting interdisciplinary collaboration, <span>Bio-Eng-LLM</span> fosters <span>AI</span> literacy and facilitates both knowledge discovery and communication.</div></div>","PeriodicalId":21905,"journal":{"name":"SoftwareX","volume":"31 ","pages":"Article 102260"},"PeriodicalIF":2.4,"publicationDate":"2025-07-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144655341","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Data4Land: How to enrich land-use/land-cover with historical vector(s) Data4Land：如何用历史向量丰富土地利用/土地覆盖

IF 2.4 4区计算机科学

SoftwareX Pub Date : 2025-07-17 DOI: 10.1016/j.softx.2025.102226

V. Kriukov, R. Rahman, L. Bastin

引用次数: 0

Version 2.0 – “DYNAblast – A software to obtain the behavior of composite laminated plates subjected to blast loads” 版本2.0 -“DYNAblast -一个获得爆炸荷载作用下复合材料层合板性能的软件”

IF 2.4 4区计算机科学

SoftwareX Pub Date : 2025-07-16 DOI: 10.1016/j.softx.2025.102265

Ana Waldila de Queiroz Ramiro Reis , Mayara Machado Martins , Rodrigo Bird Burgos

引用次数: 0

Inverse kinematics calculation in IEC 61131-3 Structured Text: KinIn IEC 61131-3中的逆运动学计算：结构化文本：KinIn

IF 2.4 4区计算机科学

SoftwareX Pub Date : 2025-07-15 DOI: 10.1016/j.softx.2025.102252

Joseph Ramses Méndez Cam, Félix Melchor Santos López

引用次数: 0

4.0 MOOSE: Enabling massively parallel Multiphysics simulation 4.0 MOOSE：支持大规模并行多物理场仿真

IF 2.4 4区计算机科学

SoftwareX Pub Date : 2025-07-15 DOI: 10.1016/j.softx.2025.102264

Logan Harbour , Guillaume Giudicelli , Alexander D. Lindsay , Peter German , Joshua Hansel , Casey Icenhour , Mengnan Li , Jason M. Miller , Roy H. Stogner , Patrick Behne , Daniel Yankura , Zachary M. Prince , Corey DeChant , Daniel Schwen , Benjamin W. Spencer , Mauricio Tano , Namjae Choi , Yaqi Wang , Max Nezdyur , Yinbin Miao , Cody J. Permann

引用次数: 0

SCANDEM-Coast - open-source tool for UAV LiDAR point cloud classification in coastal environments 沿海环境中无人机激光雷达点云分类的开源工具

IF 2.4 4区计算机科学

SoftwareX Pub Date : 2025-07-15 DOI: 10.1016/j.softx.2025.102270

Paweł Terefenko , Kamran Tanwari , Jakub Śledziowski , Andrzej Giza , Xiaohao Shi

{"title":"SCANDEM-Coast - open-source tool for UAV LiDAR point cloud classification in coastal environments","authors":"Paweł Terefenko , Kamran Tanwari , Jakub Śledziowski , Andrzej Giza , Xiaohao Shi","doi":"10.1016/j.softx.2025.102270","DOIUrl":"10.1016/j.softx.2025.102270","url":null,"abstract":"<div><div>Remote sensing technologies, particularly Light Detection and Ranging (LiDAR) mounted on Unnamed Aerial Vehicle (UAV), are instrumental in monitoring the dynamics of coastal environments. However, the utility of raw UAV LiDAR point clouds is often constrained by their unstructured format, lack of classification, presence of noise, and multiple returns, necessitating robust filtering algorithms. The complexity of pre-processing demands specialized expertise, and automated classification methods remain largely confined to specific research domains, limiting broader scientific application. To address these limitations, we developed the SCANDEM-Coast (SCanning and ANalysis for DEM generation in Morphodynamic Coastal environments) toolkit: a simplified, open-access, automated workflow for end-to-end processing of LiDAR datasets. It comprises of Python scripts, the toolkit streamlines the pre-processing, classification, interpolation and conversion of UAV LiDAR datasets to Digital Elevation Models (DEM) using well-developed algorithms and scientific methodologies to assess accuracy of produced DEMs.</div></div>","PeriodicalId":21905,"journal":{"name":"SoftwareX","volume":"31 ","pages":"Article 102270"},"PeriodicalIF":2.4,"publicationDate":"2025-07-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144632630","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0