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TMFS-MTS: Toolbox for metaheuristic feature selection in multivariate time series 多变量时间序列的元启发式特征选择工具箱
IF 1.2
Software Impacts Pub Date : 2025-10-01 DOI: 10.1016/j.simpa.2025.100789
Mariusz Oszust, Marian Wysocki
{"title":"TMFS-MTS: Toolbox for metaheuristic feature selection in multivariate time series","authors":"Mariusz Oszust,&nbsp;Marian Wysocki","doi":"10.1016/j.simpa.2025.100789","DOIUrl":"10.1016/j.simpa.2025.100789","url":null,"abstract":"<div><div>Feature selection in multivariate time series is a key challenge in modern data analysis, as high-dimensional data often include temporal dependencies and irrelevant features degrading classifier performance. To address these issues, a comparison with existing approaches is essential. Therefore, this work introduces the Toolbox for Metaheuristic Feature Selection in Multivariate Time Series (TMFS-MTS), providing an environment for feature selection and metaheuristic evaluation. It supports diverse fitness measures and advanced visualizations, including convergence curves, feature count tracking, runtime analysis, Wilcoxon tests, and 2D embeddings. Implemented in MATLAB, TMFS-MTS offers a standardized framework for advancing research in multivariate time series feature selection.</div></div>","PeriodicalId":29771,"journal":{"name":"Software Impacts","volume":"26 ","pages":"Article 100789"},"PeriodicalIF":1.2,"publicationDate":"2025-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145221949","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
Screw Process Anomaly Visualization (SPAV): A Python module for local and global machine learning visualizations for screw tightening anomaly detection 螺钉过程异常可视化（SPAV）：用于螺钉拧紧异常检测的局部和全局机器学习可视化的Python模块
IF 1.2
Software Impacts Pub Date : 2025-10-01 DOI: 10.1016/j.simpa.2025.100786
Marta Moreno , Hugo Rocha , André Pilastri , Guilherme Moreira , Luís Miguel Matos , Paulo Cortez
{"title":"Screw Process Anomaly Visualization (SPAV): A Python module for local and global machine learning visualizations for screw tightening anomaly detection","authors":"Marta Moreno ,&nbsp;Hugo Rocha ,&nbsp;André Pilastri ,&nbsp;Guilherme Moreira ,&nbsp;Luís Miguel Matos ,&nbsp;Paulo Cortez","doi":"10.1016/j.simpa.2025.100786","DOIUrl":"10.1016/j.simpa.2025.100786","url":null,"abstract":"<div><div>Modern screwdriver systems generate real-time angle-torque data that form tightening curves that are valuable for quality inspection issues (e.g., detect faulty processes). This work describes the Screw Process Anomaly Visualization (SPAV) Python module, which provides several eXplainable AI (XAI) graphs for Machine Learning (ML) screw tightening results, namely global and local errors, with identification of most probable anomaly angle-torque locations. SPAV integrates seamlessly with the scientific Python ecosystem and is compatible with several ML implementations, including H2O and Keras deep AutoEncoders (AE).</div></div>","PeriodicalId":29771,"journal":{"name":"Software Impacts","volume":"26 ","pages":"Article 100786"},"PeriodicalIF":1.2,"publicationDate":"2025-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145221950","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
Retuve: Automated multi-modality analysis of hip dysplasia with open source AI 回报：使用开源AI对髋关节发育不良进行自动化多模态分析
IF 1.2
Software Impacts Pub Date : 2025-10-01 DOI: 10.1016/j.simpa.2025.100791
Adam McArthur , Stephanie Wichuk , Stephen Burnside , Andrew Kirby , Alexander Scammon , Damian Sol , Abhilash Hareendranathan , Jacob L. Jaremko
{"title":"Retuve: Automated multi-modality analysis of hip dysplasia with open source AI","authors":"Adam McArthur ,&nbsp;Stephanie Wichuk ,&nbsp;Stephen Burnside ,&nbsp;Andrew Kirby ,&nbsp;Alexander Scammon ,&nbsp;Damian Sol ,&nbsp;Abhilash Hareendranathan ,&nbsp;Jacob L. Jaremko","doi":"10.1016/j.simpa.2025.100791","DOIUrl":"10.1016/j.simpa.2025.100791","url":null,"abstract":"<div><div>Developmental dysplasia of the hip (<strong>DDH</strong>) poses significant diagnostic challenges, hindering timely intervention. Current screening methodologies lack standardization, and AI-driven studies suffer from reproducibility issues due to limited data and code availability. To address these limitations, we introduce Retuve, an open-source framework for multi-modality <strong>DDH</strong> analysis, encompassing both ultrasound (<strong>US</strong>) and X-ray imaging. Retuve provides a complete and reproducible workflow, offering open datasets comprising expert-annotated <strong>US</strong> and X-ray images, pre-trained models with training code and weights, and a user-friendly Python Application Programming Interface (<strong>API</strong>). The framework integrates segmentation and landmark detection models, enabling automated measurement of key diagnostic parameters such as the alpha angle and acetabular index. By adhering to open-source principles, Retuve promotes transparency, collaboration, and accessibility in <strong>DDH</strong> research. This framework can democratize <strong>DDH</strong> screening, facilitate early diagnosis, and improve patient outcomes by enabling widespread screening and early intervention. The GitHub repository/code can be found here: <span><span>https://github.com/radoss-org/retuve</span><svg><path></path></svg></span></div></div>","PeriodicalId":29771,"journal":{"name":"Software Impacts","volume":"26 ","pages":"Article 100791"},"PeriodicalIF":1.2,"publicationDate":"2025-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145221951","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
Py2ONTO-Edit: A python-based tool for ontology term extraction and translation Py2ONTO-Edit：基于python的本体术语提取和翻译工具
IF 1.2
Software Impacts Pub Date : 2025-10-01 DOI: 10.1016/j.simpa.2025.100785
Zhe Wang , Zunfan Chen , Zhigang Wang , Sheng Yang , Xiaolin Yang , Heinrich Herre , Yan Zhu
{"title":"Py2ONTO-Edit: A python-based tool for ontology term extraction and translation","authors":"Zhe Wang ,&nbsp;Zunfan Chen ,&nbsp;Zhigang Wang ,&nbsp;Sheng Yang ,&nbsp;Xiaolin Yang ,&nbsp;Heinrich Herre ,&nbsp;Yan Zhu","doi":"10.1016/j.simpa.2025.100785","DOIUrl":"10.1016/j.simpa.2025.100785","url":null,"abstract":"<div><div>This paper presents Py2ONTO-Edit, an ontology editing tool that integrates the low-level functionality of Owlready2 to simplify the extraction and translation of ontology terms. It offers two extraction methods: 1. Global extraction method. 2. Selective-depth extraction method. Another key feature is the translation of ontology terms using multiple translation packages to add non-English labels (e.g., Chinese, French, German) to the ontology. This paper presents two main contributions: 1. Implementation of flexible features for term extraction. 2. Enabling of multilingual translation of ontology terms. Py2ONTO-Edit is an easy-to-use Python tool for developers focused on ontology term reuse and translation.</div></div>","PeriodicalId":29771,"journal":{"name":"Software Impacts","volume":"26 ","pages":"Article 100785"},"PeriodicalIF":1.2,"publicationDate":"2025-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145221948","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
HoneySeg: A segmentation tool for detecting honey areas in honeycombs HoneySeg：用于检测蜂巢中蜂蜜区域的分割工具
IF 1.2
Software Impacts Pub Date : 2025-09-25 DOI: 10.1016/j.simpa.2025.100788
Sergio R. Geninatti , Manuel Ortiz-Lopez , José Luis Ávila-Jiménez , José M. Flores , Francisco J. Rodriguez-Lozano
{"title":"HoneySeg: A segmentation tool for detecting honey areas in honeycombs","authors":"Sergio R. Geninatti ,&nbsp;Manuel Ortiz-Lopez ,&nbsp;José Luis Ávila-Jiménez ,&nbsp;José M. Flores ,&nbsp;Francisco J. Rodriguez-Lozano","doi":"10.1016/j.simpa.2025.100788","DOIUrl":"10.1016/j.simpa.2025.100788","url":null,"abstract":"<div><div>The task of evaluating hives is arduous and time-consuming for beekeepers. One of the tasks involves evaluating the honey in the combs to determine the available surface area, as this is directly related to the health of the hive. Currently, there are very few software tools specifically designed for beekeeping that help alleviate the work of beekeepers. Therefore, this paper presents <em>HoneySeg</em>, a Python-based application for calculating honey area and segmenting honey zones in images of honeycombs. It is an open-source tool designed specifically for beekeeping that does not require prior training for use by the beekeeper.</div></div>","PeriodicalId":29771,"journal":{"name":"Software Impacts","volume":"26 ","pages":"Article 100788"},"PeriodicalIF":1.2,"publicationDate":"2025-09-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145159127","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
STFATool: A Sparse Time–Frequency Analysis Toolkit for non-stationary signals 用于非平稳信号的稀疏时频分析工具包
IF 1.2
Software Impacts Pub Date : 2025-09-16 DOI: 10.1016/j.simpa.2025.100784
Baijian Wu, Gang Yu
{"title":"STFATool: A Sparse Time–Frequency Analysis Toolkit for non-stationary signals","authors":"Baijian Wu,&nbsp;Gang Yu","doi":"10.1016/j.simpa.2025.100784","DOIUrl":"10.1016/j.simpa.2025.100784","url":null,"abstract":"<div><div>STFATool is a professional signal-processing application implemented in Python. It integrates several state-of-the-art sparse time–frequency analysis algorithms, including Synchroextracting Transform, Transient-Extracting Transform, Multisynchrosqueezing Transform, and Time-Reassigned Multisynchrosqueezing Transform. It provides a user-friendly interface, users can import signals for detailed time–frequency feature visualization and processing, enabling efficient extraction of critical signal characteristics.</div></div>","PeriodicalId":29771,"journal":{"name":"Software Impacts","volume":"26 ","pages":"Article 100784"},"PeriodicalIF":1.2,"publicationDate":"2025-09-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145107849","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
RAGCacheSim: A discrete-event simulator for evaluating caching strategies in Retrieval-Augmented Generation systems RAGCacheSim：用于评估检索增强生成系统中的缓存策略的离散事件模拟器
IF 1.2
Software Impacts Pub Date : 2025-09-01 DOI: 10.1016/j.simpa.2025.100783
Hardik Ruparel, Tatsat Patel
{"title":"RAGCacheSim: A discrete-event simulator for evaluating caching strategies in Retrieval-Augmented Generation systems","authors":"Hardik Ruparel,&nbsp;Tatsat Patel","doi":"10.1016/j.simpa.2025.100783","DOIUrl":"10.1016/j.simpa.2025.100783","url":null,"abstract":"<div><div>Retrieval-Augmented Generation (RAG) systems enhance large language models (LLMs) with external knowledge retrieval but incur significant compute and latency costs. In distributed RAG deployments, semantically similar queries routed to different nodes — each with its own cache — can lead to redundant processing. We present <em>RAGCacheSim</em>, a discrete-event simulator for evaluating caching strategies such as Centralized Exact-match Cache (CEC), Independent Semantic Caches (IC), and Distributed Semantic Cache Coordination (DSC). It reports metrics like cache hit rate, average query latency, and coordination overhead. Built using <span>SimPy</span>, <span>FastEmbed</span>, and <span>pybloom_live</span>, it helps researchers optimize distributed RAG architectures.</div></div>","PeriodicalId":29771,"journal":{"name":"Software Impacts","volume":"26 ","pages":"Article 100783"},"PeriodicalIF":1.2,"publicationDate":"2025-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145048507","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
FaultNet-Sim: A C++ simulator for failure-prone wireless sensor networks FaultNet-Sim：一个用于故障易发无线传感器网络的c++模拟器
IF 1.3
Software Impacts Pub Date : 2025-07-01 DOI: 10.1016/j.simpa.2025.100776
Santana Yuda Pradata , Muhammad Alfian Amrizal , Ahmad Ridwan Tresna Nugraha , Reza Pulungan
{"title":"FaultNet-Sim: A C++ simulator for failure-prone wireless sensor networks","authors":"Santana Yuda Pradata ,&nbsp;Muhammad Alfian Amrizal ,&nbsp;Ahmad Ridwan Tresna Nugraha ,&nbsp;Reza Pulungan","doi":"10.1016/j.simpa.2025.100776","DOIUrl":"10.1016/j.simpa.2025.100776","url":null,"abstract":"<div><div>Wireless sensor networks (WSNs) are crucial for various real-life applications, from environmental and health monitoring systems to home and industrial automation. However, these networks face challenges in failure-prone environments, where sensor nodes must conserve energy while ensuring data reliability. We introduce FaultNet-Sim, a multithreaded simulator that facilitates the development of optimization strategies for balancing energy consumption and data reliability by tuning data transfer intervals in WSNs. The simulator can model different failure conditions and various time-division multiple access (TDMA)-based scheduling techniques, allowing users to analyze the trade-offs between data loss and energy consumption. With customizable parameters, FaultNet-Sim is a valuable tool for researchers looking to improve the resilience and efficiency of WSNs in real-world applications.</div></div>","PeriodicalId":29771,"journal":{"name":"Software Impacts","volume":"25 ","pages":"Article 100776"},"PeriodicalIF":1.3,"publicationDate":"2025-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144632605","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
A tool for measuring program comprehensibility using readability-driven metrics 使用可读性驱动的度量来度量程序的可理解性的工具
IF 1.2
Software Impacts Pub Date : 2025-07-01 DOI: 10.1016/j.simpa.2025.100782
Md. Masudur Rahman, Zenun Chowdhury, Raqeebir Rab
{"title":"A tool for measuring program comprehensibility using readability-driven metrics","authors":"Md. Masudur Rahman,&nbsp;Zenun Chowdhury,&nbsp;Raqeebir Rab","doi":"10.1016/j.simpa.2025.100782","DOIUrl":"10.1016/j.simpa.2025.100782","url":null,"abstract":"<div><div>Program comprehensibility plays a significant role in software maintenance by enhancing code readability. Although inherently subjective, various methods to assess comprehensibility have emerged in recent years. Most of these approaches focus on structural characteristics of source code, such as lines of code, number of identifiers, cyclomatic complexity, etc. However, textual elements are equally vital, as these directly influence how humans interpret and understand code. In this paper, we present an approach that evaluates program comprehensibility based on the textual readability of source code — reflecting how it is perceived by human readers. We developed a tool to implement this proposed approach and validated its effectiveness by comparing its output with manual evaluations of code comprehensibility. The results showed complete agreement, indicating that the tool produces comprehensibility scores. This tool can support developers by identifying segments of code that are harder to comprehend, enabling targeted refactoring efforts to improve overall readability.</div></div>","PeriodicalId":29771,"journal":{"name":"Software Impacts","volume":"25 ","pages":"Article 100782"},"PeriodicalIF":1.2,"publicationDate":"2025-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144917254","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
GPS-2-GTFS: A Python package to process and transform raw GPS data of public transit to GTFS format GPS-2-GTFS：一个Python包，用于处理和转换公共交通的原始GPS数据为GTFS格式
IF 1.2
Software Impacts Pub Date : 2025-07-01 DOI: 10.1016/j.simpa.2025.100780
Shiveswarran Ratneswaran , Uthayasanker Thayasivam , Sivakumar Thillaiambalam
{"title":"GPS-2-GTFS: A Python package to process and transform raw GPS data of public transit to GTFS format","authors":"Shiveswarran Ratneswaran ,&nbsp;Uthayasanker Thayasivam ,&nbsp;Sivakumar Thillaiambalam","doi":"10.1016/j.simpa.2025.100780","DOIUrl":"10.1016/j.simpa.2025.100780","url":null,"abstract":"<div><div>The ‘gps2gtfs’ package addresses a critical need for converting raw Global Positioning System (GPS) trajectory data from public transit vehicles into the widely used GTFS (General Transit Feed Specification) format. This transformation enables various software applications to efficiently utilize real-time transit data for purposes such as tracking, scheduling, and arrival time prediction. Developed in Python, ‘gps2gtfs’ employs techniques like geo-buffer mapping, parallel processing, and data filtering to manage challenges associated with raw GPS data, including high volume, discontinuities, and localization errors. This open-source package, available on GitHub and PyPI, enhances the development of intelligent transportation solutions and fosters improved public transit systems globally.</div></div>","PeriodicalId":29771,"journal":{"name":"Software Impacts","volume":"25 ","pages":"Article 100780"},"PeriodicalIF":1.2,"publicationDate":"2025-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144756883","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
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