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Ebdfes: Post-earthquake building damage and fatality estimation system 地震后建筑物损坏和死亡估计系统
IF 1.3
Software Impacts Pub Date : 2025-06-01 Epub Date: 2025-04-22 DOI: 10.1016/j.simpa.2025.100749
Dengke Zhao, Siran Yang, Jianming Wang, Ji’an Liao, Zhaoyan Li, Zifa Wang
{"title":"Ebdfes: Post-earthquake building damage and fatality estimation system","authors":"Dengke Zhao,&nbsp;Siran Yang,&nbsp;Jianming Wang,&nbsp;Ji’an Liao,&nbsp;Zhaoyan Li,&nbsp;Zifa Wang","doi":"10.1016/j.simpa.2025.100749","DOIUrl":"10.1016/j.simpa.2025.100749","url":null,"abstract":"<div><div>Rapid estimation of building loss and fatalities is essential for post-earthquake response. The Post-Earthquake Building Damage and Fatality Estimation System (Ebdfes) was developed using Python to capture real-time earthquake events and automatically trigger assessments of building damage and fatalities. Specifically, Ebdfes considers building damage as a multidimensional correlated variable and employs sampling techniques to simulate potential earthquake impacts. By integrating Kriging interpolation and multithreading techniques, the system significantly enhances computational efficiency. Furthermore, Ebdfes provides visualization of estimation results, offering valuable support for decision-making in emergency management and capital allocation for catastrophe insurance companies.</div></div>","PeriodicalId":29771,"journal":{"name":"Software Impacts","volume":"24 ","pages":"Article 100749"},"PeriodicalIF":1.3,"publicationDate":"2025-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143870754","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 real-time cyberbully checker 实时网络欺凌检查器
IF 1.3
Software Impacts Pub Date : 2025-03-01 Epub Date: 2024-10-19 DOI: 10.1016/j.simpa.2024.100710
Johnny Chan, Shohil Kishore, Xin Yang
{"title":"A real-time cyberbully checker","authors":"Johnny Chan,&nbsp;Shohil Kishore,&nbsp;Xin Yang","doi":"10.1016/j.simpa.2024.100710","DOIUrl":"10.1016/j.simpa.2024.100710","url":null,"abstract":"<div><div>This paper introduces a cyberbully checker, an AI-driven tool designed for real-time detection and mitigation of cyberbullying. Serenity, a chat application prototype, demonstrates the checker’s capabilities by using Google’s Perspective API to analyse message toxicity instantly. The application offers user-defined toxicity tolerance levels and alerts both senders and receivers before harmful interactions occur. By integrating these features, Serenity showcases how AI can enhance online safety, empowering users and providing guardian oversight without compromising privacy. This work highlights the potential of AI-driven solutions to create safer digital communication environments for adolescents and vulnerable populations.</div></div>","PeriodicalId":29771,"journal":{"name":"Software Impacts","volume":"23 ","pages":"Article 100710"},"PeriodicalIF":1.3,"publicationDate":"2025-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142747157","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
DeepPack3D: A Python package for online 3D bin packing optimization by deep reinforcement learning and constructive heuristics DeepPack3D：一个Python包，通过深度强化学习和建设性启发式进行在线3D装箱优化
IF 1.3
Software Impacts Pub Date : 2025-03-01 Epub Date: 2024-12-27 DOI: 10.1016/j.simpa.2024.100732
Y.P. Tsang , D.Y. Mo , K.T. Chung , C.K.M. Lee
{"title":"DeepPack3D: A Python package for online 3D bin packing optimization by deep reinforcement learning and constructive heuristics","authors":"Y.P. Tsang ,&nbsp;D.Y. Mo ,&nbsp;K.T. Chung ,&nbsp;C.K.M. Lee","doi":"10.1016/j.simpa.2024.100732","DOIUrl":"10.1016/j.simpa.2024.100732","url":null,"abstract":"<div><div>The rapid advancement of industrial robotic automation has increased the significance of online 3D bin packing optimization for applications, like palletization and container loading. Despite numerous learning-based methods emerging for informed decision-making in this process, the absence of a standardized benchmark makes it challenging to experience the process and validate new algorithms. To bridge this gap, we introduce DeepPack3D, a software package that integrates deep reinforcement learning and constructive heuristic approaches for online 3D bin packing optimization. DeepPack3D provides a foundation for benchmarking, allowing users to evaluate performance using customizable item lists and lookahead values, thereby facilitating consistent research advancements.</div></div>","PeriodicalId":29771,"journal":{"name":"Software Impacts","volume":"23 ","pages":"Article 100732"},"PeriodicalIF":1.3,"publicationDate":"2025-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143139882","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
A Web Application for exploratory data analysis and classification of Parkinson’s Disease patients using machine learning models on different datasets 在不同数据集上使用机器学习模型对帕金森病患者进行探索性数据分析和分类的Web应用程序
IF 1.3
Software Impacts Pub Date : 2025-03-01 Epub Date: 2024-12-27 DOI: 10.1016/j.simpa.2024.100737
Daniel Hilário da Silva , Leandro Rodrigues da Silva Souza , Caio Tonus Ribeiro , Simone Hilário da Silva Brasileiro , José Renato Munari Nardo , Adriano Alves Pereira , Adriano de Oliveira Andrade
{"title":"A Web Application for exploratory data analysis and classification of Parkinson’s Disease patients using machine learning models on different datasets","authors":"Daniel Hilário da Silva ,&nbsp;Leandro Rodrigues da Silva Souza ,&nbsp;Caio Tonus Ribeiro ,&nbsp;Simone Hilário da Silva Brasileiro ,&nbsp;José Renato Munari Nardo ,&nbsp;Adriano Alves Pereira ,&nbsp;Adriano de Oliveira Andrade","doi":"10.1016/j.simpa.2024.100737","DOIUrl":"10.1016/j.simpa.2024.100737","url":null,"abstract":"<div><div>Automated biomedical data analysis tools are crucial in research and clinical practice; however, they are not always accessible to everyone. This paper introduces a web-based system that facilitates exploratory data analysis and machine learning, focusing on identifying audio and video data patterns. This system applies to various biomedical contexts, such as the study of Parkinson’s disease. Developed using Python and the Streamlit framework, it offers an intuitive interface for data analysis, visualization, and automated classification. Its flexibility makes it a valuable resource for researchers and healthcare professionals, enabling meaningful insights and fostering advancements in biomedical research.</div></div>","PeriodicalId":29771,"journal":{"name":"Software Impacts","volume":"23 ","pages":"Article 100737"},"PeriodicalIF":1.3,"publicationDate":"2025-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143139896","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
VCoFWMVIFCM: An open-source code for viewpoint-based collaborative feature-weighted multi-view intuitionistic fuzzy clustering 基于视点的协同特征加权多视点直觉模糊聚类的开源代码
IF 1.3
Software Impacts Pub Date : 2025-03-01 Epub Date: 2025-03-03 DOI: 10.1016/j.simpa.2025.100743
Amin Golzari Oskouei , Negin Samadi , Asgarali Bouyer , Jafar Tanha
{"title":"VCoFWMVIFCM: An open-source code for viewpoint-based collaborative feature-weighted multi-view intuitionistic fuzzy clustering","authors":"Amin Golzari Oskouei ,&nbsp;Negin Samadi ,&nbsp;Asgarali Bouyer ,&nbsp;Jafar Tanha","doi":"10.1016/j.simpa.2025.100743","DOIUrl":"10.1016/j.simpa.2025.100743","url":null,"abstract":"<div><div>We present VCoFWMVIFCM, an open-source Python implementation of a multi-view fuzzy clustering algorithm based on Intuitionistic Fuzzy c-Means (IFCM). The method integrates adaptive view, feature, and sample weighting to account for varying importance and reduce outlier effects. Local neighborhood information enhances noise resistance, while a density-based initialization ensures stable centroid selection. These mechanisms collectively improve clustering robustness and accuracy for multi-view data. The modular implementation allows flexible execution and reproducibility, addressing real-world applications where multiple data perspectives exist. The code is publicly accessible on GitHub under the MIT license.</div></div>","PeriodicalId":29771,"journal":{"name":"Software Impacts","volume":"23 ","pages":"Article 100743"},"PeriodicalIF":1.3,"publicationDate":"2025-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143580457","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
SignAPROS: An integrated hardware and software system for acquisition, processing, and analysis of bio-signals SignAPROS：用于采集、处理和分析生物信号的集成硬件和软件系统
IF 1.3
Software Impacts Pub Date : 2025-03-01 Epub Date: 2025-03-03 DOI: 10.1016/j.simpa.2025.100741
Alma Karen Bañuelos-Mezquitan, Carlos Said Silva-Chacon, Fernando Castro-Galán, Arturo Guzmán-Vázquez, Israel Román-Godínez, Ricardo A. Salido-Ruiz, Sulema Torres-Ramos
{"title":"SignAPROS: An integrated hardware and software system for acquisition, processing, and analysis of bio-signals","authors":"Alma Karen Bañuelos-Mezquitan,&nbsp;Carlos Said Silva-Chacon,&nbsp;Fernando Castro-Galán,&nbsp;Arturo Guzmán-Vázquez,&nbsp;Israel Román-Godínez,&nbsp;Ricardo A. Salido-Ruiz,&nbsp;Sulema Torres-Ramos","doi":"10.1016/j.simpa.2025.100741","DOIUrl":"10.1016/j.simpa.2025.100741","url":null,"abstract":"<div><div>SignAPROS is a cost-effective hardware–software system for signal acquisition, featuring modules for database management, protocol configuration, and machine learning-based analysis. It supports up to four Electromyography bi-polar channels and various sensors to measure heart rate, temperature, inclination, and galvanic skin response.</div><div>The system has already been used in the implementation of a protocol aimed at capturing electrical signals from facial and neck muscles to detect mispronunciation in a second language supporting a master’s project.</div><div>With a user-friendly interface, SignAPROS enables users to conduct bio-signal acquisition, analyze data, and visualize results efficiently, making it a versatile and accessible tool for scientific studies.</div></div>","PeriodicalId":29771,"journal":{"name":"Software Impacts","volume":"23 ","pages":"Article 100741"},"PeriodicalIF":1.3,"publicationDate":"2025-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143549883","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
UsmleGPT: An AI application for developing MCQs via multi-agent system UsmleGPT：通过多智能体系统开发mcq的人工智能应用程序
IF 1.3
Software Impacts Pub Date : 2025-03-01 Epub Date: 2025-03-03 DOI: 10.1016/j.simpa.2025.100742
Zhehan Jiang , Shicong Feng
{"title":"UsmleGPT: An AI application for developing MCQs via multi-agent system","authors":"Zhehan Jiang ,&nbsp;Shicong Feng","doi":"10.1016/j.simpa.2025.100742","DOIUrl":"10.1016/j.simpa.2025.100742","url":null,"abstract":"<div><div>Driven by the trending multi-agent system (MAS) that harnesses collective intelligence from numerous large language models (LLMs), UsmleGPT is a Python-based application designed to enhance LLM-generated content tailored for the USMLE Step 1 scenario. The MAS aligns with the NBME’s framework, incorporating advanced prompt strategies to guide each LLM through their respective tasks and specialties. This enables UsmleGPT to surpass conventional practices in automating item generation. Beyond the original script, a freely accessible, user-friendly website complements the tool, facilitating its adoption. UsmleGPT represents a breakthrough in medical education, transforming medical exam preparation and setting new standards for high-stakes medical assessments.</div></div>","PeriodicalId":29771,"journal":{"name":"Software Impacts","volume":"23 ","pages":"Article 100742"},"PeriodicalIF":1.3,"publicationDate":"2025-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143549578","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
TeleCatch: An open-access software for visualizing, filtering and extracting Telegram messages data TeleCatch：用于可视化、过滤和提取电报信息数据的开放访问软件
IF 1.3
Software Impacts Pub Date : 2025-03-01 Epub Date: 2024-12-27 DOI: 10.1016/j.simpa.2024.100736
Giosuè Ruscica , Giulia Tucci , Bia Carneiro
{"title":"TeleCatch: An open-access software for visualizing, filtering and extracting Telegram messages data","authors":"Giosuè Ruscica ,&nbsp;Giulia Tucci ,&nbsp;Bia Carneiro","doi":"10.1016/j.simpa.2024.100736","DOIUrl":"10.1016/j.simpa.2024.100736","url":null,"abstract":"<div><div>Telegram’s growing role as a digital communication platform creates opportunities and challenges for analyzing public discourse. TeleCatch, an open-source tool, simplifies access to data from public Telegram groups and channels, requiring no programming skills. Built with FastAPI and Telethon, it enables collection management, rapid sampling, and retrieval of text and media, offering a privacy-focused, decentralized approach. TeleCatch has proven valuable in studies on human mobility and food security, supporting diverse research fields. Future updates will enhance search capabilities and visualization features, further expanding its applicability for digital communication and social media analysis.</div></div>","PeriodicalId":29771,"journal":{"name":"Software Impacts","volume":"23 ","pages":"Article 100736"},"PeriodicalIF":1.3,"publicationDate":"2025-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143139897","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
SGML: A Python library for solution-guided machine learning SGML：用于解决方案引导机器学习的Python库
IF 1.3
Software Impacts Pub Date : 2025-03-01 Epub Date: 2024-12-27 DOI: 10.1016/j.simpa.2024.100739
Ruijin Wang , Yuchen Du , Chunchun Dai , Yang Deng , Jiantao Leng , Tienchong Chang
{"title":"SGML: A Python library for solution-guided machine learning","authors":"Ruijin Wang ,&nbsp;Yuchen Du ,&nbsp;Chunchun Dai ,&nbsp;Yang Deng ,&nbsp;Jiantao Leng ,&nbsp;Tienchong Chang","doi":"10.1016/j.simpa.2024.100739","DOIUrl":"10.1016/j.simpa.2024.100739","url":null,"abstract":"<div><div>Researchers have long been concerned with the extrapolation capabilities of machine learning (ML) models, particularly when dealing with insufficient training data. The recently proposed solution-guided machine learning (SGML) method addresses this issue by integrating existing solutions as additional features to supplement limited training data. We have applied this method to solve the strong nonlinearity in nanoindentation and present an approximate solution to the tangential entropic force in an asymmetrical two dimensional bilayer. To make this method more accessible, we developed a user-friendly Python library called SGML, available on GitHub and PyPI. This paper introduces the architecture and functionality of the library, provides a usage example, and discusses its potential impact and applications.</div></div>","PeriodicalId":29771,"journal":{"name":"Software Impacts","volume":"23 ","pages":"Article 100739"},"PeriodicalIF":1.3,"publicationDate":"2025-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143139884","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
Multi-browser VE: Enhancing internet browsing experience through virtual reality 多浏览器VE：通过虚拟现实增强互联网浏览体验
IF 1.3
Software Impacts Pub Date : 2025-03-01 Epub Date: 2024-12-27 DOI: 10.1016/j.simpa.2024.100733
Mochammad Hannats Hanafi Ichsan , Cecilia Sik-Lanyi , Tibor Guzsvinecz
{"title":"Multi-browser VE: Enhancing internet browsing experience through virtual reality","authors":"Mochammad Hannats Hanafi Ichsan ,&nbsp;Cecilia Sik-Lanyi ,&nbsp;Tibor Guzsvinecz","doi":"10.1016/j.simpa.2024.100733","DOIUrl":"10.1016/j.simpa.2024.100733","url":null,"abstract":"<div><div>This paper presents the development of a Multi-Browser Virtual Environment (VE) aimed at improving the user experience of internet browsing through Desktop Virtual Reality (VR) technology. By integrating multiple web browsers within the Virtual Environment (VE), users can engage in more intuitive and interactive browsing experiences. This study explores the development of Multi-Browser VE in the early stage of development, an evaluation model to assess this system by measuring usability and user feedback compared to the traditional browsing experience. Initial studies suggest that the Multi-Browser VE offers good usability and a more excellent browsing experience than traditional desktop-based interfaces.</div></div>","PeriodicalId":29771,"journal":{"name":"Software Impacts","volume":"23 ","pages":"Article 100733"},"PeriodicalIF":1.3,"publicationDate":"2025-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143139881","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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