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Software Impacts最新文献

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Enhanced leaf disease detection: UNet for segmentation and optimized EfficientNet for disease classification 增强叶片病害检测：用于分割的 UNet 和用于病害分类的优化 EfficientNet
IF 1.3
Software Impacts Pub Date : 2024-09-14 DOI: 10.1016/j.simpa.2024.100701
Jameer Kotwal , Ramgopal Kashyap , Pathan Mohd Shafi , Vinod Kimbahune
{"title":"Enhanced leaf disease detection: UNet for segmentation and optimized EfficientNet for disease classification","authors":"Jameer Kotwal ,&nbsp;Ramgopal Kashyap ,&nbsp;Pathan Mohd Shafi ,&nbsp;Vinod Kimbahune","doi":"10.1016/j.simpa.2024.100701","DOIUrl":"10.1016/j.simpa.2024.100701","url":null,"abstract":"<div><div>This manuscript delineates the code developed for a published scholarly article aimed at supporting researchers in addressing plant leaf disease detection and classification (PLDC) challenges while evaluating the efficacy of various deep learning models. Furthermore, the research incorporates preprocessing strategies, correlation, segmentation employing the UNet model, feature extraction methods and EfficientNet model. The software model generates graphs such as confusion matrix, ROC curve (Receiver Operating Characteristic), and visual representations of loss and accuracy graphs. The initial research was disseminated in the Multimedia Tools and Applications journal, and the accompanying dataset was also introduced in the Data in Brief journal.</div></div>","PeriodicalId":29771,"journal":{"name":"Software Impacts","volume":"22 ","pages":"Article 100701"},"PeriodicalIF":1.3,"publicationDate":"2024-09-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.sciencedirect.com/science/article/pii/S2665963824000897/pdfft?md5=aaec845754e88bf11d97594b0f75863a&pid=1-s2.0-S2665963824000897-main.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142314144","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
FlowTransformer: A flexible python framework for flow-based network data analysis 流量转换器基于流量的网络数据分析的灵活 python 框架
IF 1.3
Software Impacts Pub Date : 2024-09-07 DOI: 10.1016/j.simpa.2024.100702
Liam Daly Manocchio, Siamak Layeghy, Marius Portmann
{"title":"FlowTransformer: A flexible python framework for flow-based network data analysis","authors":"Liam Daly Manocchio,&nbsp;Siamak Layeghy,&nbsp;Marius Portmann","doi":"10.1016/j.simpa.2024.100702","DOIUrl":"10.1016/j.simpa.2024.100702","url":null,"abstract":"<div><p>FlowTransformer is a software framework tailored for building Machine Learning based Network Intrusion Detection Systems (NIDSs) leveraging transformer architectures known for their effectiveness in both NLP and more broadly for handling sequences of data. FlowTransformer is a flexible pipeline composed of a definable dataset definition, efficient preprocessing, and a flexible model construction, supporting different input-encodings, transformer models and classification heads. Furthermore, users can extend the framework by defining their own components. FlowTransformer’s contribution lies in its easy customisation, and ability to leverage transformers to enable enhanced long-term pattern detection, offering cybersecurity researchers and practitioners a valuable tool.</p></div>","PeriodicalId":29771,"journal":{"name":"Software Impacts","volume":"22 ","pages":"Article 100702"},"PeriodicalIF":1.3,"publicationDate":"2024-09-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.sciencedirect.com/science/article/pii/S2665963824000903/pdfft?md5=0965be2b2008a97aa24469c5f4f84435&pid=1-s2.0-S2665963824000903-main.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142162161","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
CALDINTAV: A simple software for dynamic analysis of high-speed railway bridges using the semi-analytical modal method CALDINTAV：采用半解析模态法对高速铁路桥梁进行动态分析的简易软件
IF 1.3
Software Impacts Pub Date : 2024-09-07 DOI: 10.1016/j.simpa.2024.100700
Khanh Nguyen , José M. Goicolea
{"title":"CALDINTAV: A simple software for dynamic analysis of high-speed railway bridges using the semi-analytical modal method","authors":"Khanh Nguyen ,&nbsp;José M. Goicolea","doi":"10.1016/j.simpa.2024.100700","DOIUrl":"10.1016/j.simpa.2024.100700","url":null,"abstract":"<div><p>The increasing prevalence of high-speed trains necessitates robust analysis tools to ensure the safety and reliability of railway bridges. This paper presents a user-friendly software application designed for the dynamic analysis of railway bridges subjected to high-speed train loadings. Leveraging the semi-analytical modal method, the software offers a balanced approach that combines computational efficiency with high accuracy. Key features include an intuitive interface, rapid analysis capabilities, and reliable prediction of bridge responses, facilitating design optimization and maintenance planning. This software is poised to become an indispensable tool for structural engineers, researchers, and infrastructure planners.</p></div>","PeriodicalId":29771,"journal":{"name":"Software Impacts","volume":"22 ","pages":"Article 100700"},"PeriodicalIF":1.3,"publicationDate":"2024-09-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.sciencedirect.com/science/article/pii/S2665963824000885/pdfft?md5=d1beb1441f35b71898713461a31ac898&pid=1-s2.0-S2665963824000885-main.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142162162","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
QF-LCS: Quantum Field Lens Coding Simulator and Game Tool for Strong System State Predictions QF-LCS：用于强系统状态预测的量子场透镜编码模拟器和游戏工具
IF 1.3
Software Impacts Pub Date : 2024-09-04 DOI: 10.1016/j.simpa.2024.100703
Philip Baback Alipour, Thomas Aaron Gulliver
{"title":"QF-LCS: Quantum Field Lens Coding Simulator and Game Tool for Strong System State Predictions","authors":"Philip Baback Alipour,&nbsp;Thomas Aaron Gulliver","doi":"10.1016/j.simpa.2024.100703","DOIUrl":"10.1016/j.simpa.2024.100703","url":null,"abstract":"<div><p>A quantum field lens coding simulator (QF-LCS) is presented on a high-level end-user application software run by CLI <span><math><mo>⟷</mo></math></span> GUI with custom commands input by the user to process, analyze, validate QF-LC algorithm (QF-LCA) datasets in a QF-LC Python game. On the low-level system software, measurement data are acquired from quantum computers. The datasets contain these measurement data, processed and classified according to QF-LCA circuit design and steps determining system states and their prediction. This software, impacts advances made in applied sciences, statistics, law and physics, where data validation of samples including system simulation projecting and predicting events are achieved.</p></div>","PeriodicalId":29771,"journal":{"name":"Software Impacts","volume":"22 ","pages":"Article 100703"},"PeriodicalIF":1.3,"publicationDate":"2024-09-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.sciencedirect.com/science/article/pii/S2665963824000915/pdfft?md5=26159ec90a7b21591fdb9f85ac7e00fd&pid=1-s2.0-S2665963824000915-main.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142271741","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
Assessing and improving the quality of Fortran code in scientific software: FortranAnalyser 评估和改进科学软件中 Fortran 代码的质量：FortranAnalyser
IF 1.3
Software Impacts Pub Date : 2024-09-01 DOI: 10.1016/j.simpa.2024.100692
Michael García-Rodríguez , Juan A. Añel , Javier Rodeiro-Iglesias
{"title":"Assessing and improving the quality of Fortran code in scientific software: FortranAnalyser","authors":"Michael García-Rodríguez ,&nbsp;Juan A. Añel ,&nbsp;Javier Rodeiro-Iglesias","doi":"10.1016/j.simpa.2024.100692","DOIUrl":"10.1016/j.simpa.2024.100692","url":null,"abstract":"<div><p>Despite its age, Fortran remains essential in many scientific fields. Ensuring code quality in long-term projects with evolving standards is critical, but few tools analyse Fortran, and they are not free. We present FortranAnalyser, a multi-platform, static analysis tool designed to enhance Fortran code quality. This paper outlines its development, features, and comparison with other tools. Additionally, we demonstrate its effectiveness through real-world applications, such as improving the Fortran code in a major global climate model.</p></div>","PeriodicalId":29771,"journal":{"name":"Software Impacts","volume":"21 ","pages":"Article 100692"},"PeriodicalIF":1.3,"publicationDate":"2024-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.sciencedirect.com/science/article/pii/S2665963824000800/pdfft?md5=b4cfcaaeff8f22b78ef9129f05f9279d&pid=1-s2.0-S2665963824000800-main.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142136553","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
qlty: Handling large tensors in scientific imaging deep-learning workflows qlty：在科学成像深度学习工作流程中处理大型张量
IF 1.3
Software Impacts Pub Date : 2024-08-26 DOI: 10.1016/j.simpa.2024.100696
Petrus H. Zwart
{"title":"qlty: Handling large tensors in scientific imaging deep-learning workflows","authors":"Petrus H. Zwart","doi":"10.1016/j.simpa.2024.100696","DOIUrl":"10.1016/j.simpa.2024.100696","url":null,"abstract":"<div><p>In scientific imaging, deep learning has become a pivotal tool for image analytics. However, handling large volumetric datasets, which often exceed the memory capacity of standard GPUs, require special attention when subjected to deep learning efforts. This paper introduces <span>qlty</span>, a toolkit designed to address these challenges through tensor management techniques. <span>qlty</span> offers robust methods for subsampling, cleaning, and stitching of large-scale spatial data, enabling effective training and inference even in resource-limited environments.</p></div>","PeriodicalId":29771,"journal":{"name":"Software Impacts","volume":"21 ","pages":"Article 100696"},"PeriodicalIF":1.3,"publicationDate":"2024-08-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.sciencedirect.com/science/article/pii/S2665963824000848/pdfft?md5=c43cac7596e8a2515fe30e93f9292eb3&pid=1-s2.0-S2665963824000848-main.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142083892","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
SpectroChat: A windows executable graphical user interface for chemometrics analysis of spectroscopic data SpectroChat：用于光谱数据化学计量学分析的窗口可执行图形用户界面
IF 1.3
Software Impacts Pub Date : 2024-08-23 DOI: 10.1016/j.simpa.2024.100698
Md. Toukir Ahmed, Md Wadud Ahmed, Mohammed Kamruzzaman
{"title":"SpectroChat: A windows executable graphical user interface for chemometrics analysis of spectroscopic data","authors":"Md. Toukir Ahmed,&nbsp;Md Wadud Ahmed,&nbsp;Mohammed Kamruzzaman","doi":"10.1016/j.simpa.2024.100698","DOIUrl":"10.1016/j.simpa.2024.100698","url":null,"abstract":"<div><p>“SpectroChat”, a user-friendly, windows-based graphical user interface (GUI) for chemometric analysis, is designed to avoid the complexity of high-level programming and expensive software subscriptions. Developed in Python, this software offers versatile data partitioning, spectral pre-processing, and an optimizable genetic algorithm (GA) for feature selection for spectroscopic data analysis. SpectroChat enables the execution of multivariate regression analyses with options for hyperparameter adjustments and saving model diagnostics. This open-source software, designed to alleviate resource constraints, streamlines chemometric studies without requiring advanced programming platforms.</p></div>","PeriodicalId":29771,"journal":{"name":"Software Impacts","volume":"21 ","pages":"Article 100698"},"PeriodicalIF":1.3,"publicationDate":"2024-08-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.sciencedirect.com/science/article/pii/S2665963824000861/pdfft?md5=5f62a6ce7cad9497ae3f6f6bc8552b3d&pid=1-s2.0-S2665963824000861-main.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142083893","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
PixSim: Enhancing high-resolution large-scale forest simulations PixSim：增强高分辨率大尺度森林模拟
IF 1.3
Software Impacts Pub Date : 2024-08-22 DOI: 10.1016/j.simpa.2024.100695
Nicolas Cattaneo, Rasmus Astrup, Clara Antón-Fernández
{"title":"PixSim: Enhancing high-resolution large-scale forest simulations","authors":"Nicolas Cattaneo,&nbsp;Rasmus Astrup,&nbsp;Clara Antón-Fernández","doi":"10.1016/j.simpa.2024.100695","DOIUrl":"10.1016/j.simpa.2024.100695","url":null,"abstract":"<div><p>PixSim is a flexible, open-source forest growth simulator designed to operate at the pixel level of high-resolution, wall-to-wall forest resource maps generated through remote sensing approaches. PixSim addresses the need to adapt forest growth simulators to the data produced by modern remote sensing-based forest inventories, rather than relying on stand-level averages from traditional field-based inventories. By operating at the pixel level, PixSim captures intra-stand variability in high-resolution forest resource maps, which is often overlooked by stand-level simulators. This capability aligns with the current focus on precision forestry, aimed at improving management decisions with localized data and small-scale management. Implemented in the R programming language, PixSim features minimal package dependencies, provides flexibility and scalability, and has been optimized for high-resolution, large-scale simulations, ensuring efficient computation. The simulator’s flexibility and open-source nature support the incorporation of management modules and the inclusion of climate change scenarios in simulations.</p></div>","PeriodicalId":29771,"journal":{"name":"Software Impacts","volume":"21 ","pages":"Article 100695"},"PeriodicalIF":1.3,"publicationDate":"2024-08-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.sciencedirect.com/science/article/pii/S2665963824000836/pdfft?md5=607affcb7b08c73e36361ba980a6ef08&pid=1-s2.0-S2665963824000836-main.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142083891","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
PostgREST Data Provider for React-Admin: Bootstrap the creation of user interfaces on top of PostgreSQL databases 用于 React-Admin 的 PostgREST 数据提供程序：在 PostgreSQL 数据库之上引导创建用户界面
IF 1.3
Software Impacts Pub Date : 2024-08-22 DOI: 10.1016/j.simpa.2024.100699
Raphael Scheible
{"title":"PostgREST Data Provider for React-Admin: Bootstrap the creation of user interfaces on top of PostgreSQL databases","authors":"Raphael Scheible","doi":"10.1016/j.simpa.2024.100699","DOIUrl":"10.1016/j.simpa.2024.100699","url":null,"abstract":"<div><p>In today’s data-driven world, vast amounts of data are stored in relational databases like i2b2, often using middleware applications for delivery. PostgreSQL, a widely used open-source DBMS, offers advanced features, including Foreign Data Wrappers (FDWs) for integration with other DBMSs. However, accessing data typically requires SQL knowledge. RESTful APIs simplify data interactions, and tools like PostgREST convert PostgreSQL databases into RESTful APIs. Our work introduces a PostgREST Data Provider that bridges React-Admin with PostgREST. A demo application showcases its capabilities, using KeyCloak for authentication and integrating an i2b2 database with FDW, fuzzy full-text search with ZomboDB, and utilizing GRASCCO discharge letters linked to i2b2 patients.</p></div>","PeriodicalId":29771,"journal":{"name":"Software Impacts","volume":"21 ","pages":"Article 100699"},"PeriodicalIF":1.3,"publicationDate":"2024-08-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.sciencedirect.com/science/article/pii/S2665963824000873/pdfft?md5=d90291d8219a099949bfd7a9c3ecf7d3&pid=1-s2.0-S2665963824000873-main.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142083890","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
Virtual reality implementation of the Corsi test and pilot study on acceptance 科尔西试验的虚拟现实实施和接受试验研究
IF 1.3
Software Impacts Pub Date : 2024-08-22 DOI: 10.1016/j.simpa.2024.100693
Patrícia Szabó , Patrik Filotás , Cecilia Sik-Lanyi , Soma Zsebi , Renáta Cserjési
{"title":"Virtual reality implementation of the Corsi test and pilot study on acceptance","authors":"Patrícia Szabó ,&nbsp;Patrik Filotás ,&nbsp;Cecilia Sik-Lanyi ,&nbsp;Soma Zsebi ,&nbsp;Renáta Cserjési","doi":"10.1016/j.simpa.2024.100693","DOIUrl":"10.1016/j.simpa.2024.100693","url":null,"abstract":"<div><p>This article explores the serious application of virtual reality (VR) for assessing spatial memory, focusing on the Corsi test. Developed using the Unity game engine, this application allows for more convenient parameter modification and faster evaluation through digital iterations. The use of VR technology enhances precision, reliability, and user immersion. This article details the developmental stages and psychophysiological responses of participants performing the task in VR. Results from a trial with 14 participants indicated reduced heart rate and improved outcomes compared with traditional methods. This highlights the potential of VR integration to enhance the accuracy, flexibility, and participant comfort in assessment procedures.</p></div>","PeriodicalId":29771,"journal":{"name":"Software Impacts","volume":"21 ","pages":"Article 100693"},"PeriodicalIF":1.3,"publicationDate":"2024-08-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.sciencedirect.com/science/article/pii/S2665963824000812/pdfft?md5=f856c3f44e1b806884338f1ba39830f6&pid=1-s2.0-S2665963824000812-main.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142083889","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
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