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Software Impacts最新文献

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WECS: A wavelet energy correlation screening based method for unsupervised change detection using remote sensing image series 基于小波能量相关筛选的遥感图像序列无监督变化检测方法
IF 1.3
Software Impacts Pub Date : 2025-04-28 DOI: 10.1016/j.simpa.2025.100750
João Pedro M. Saraiva , Rodney V. Fonseca , Rogério G. Negri , Aluísio Pinheiro
{"title":"WECS: A wavelet energy correlation screening based method for unsupervised change detection using remote sensing image series","authors":"João Pedro M. Saraiva ,&nbsp;Rodney V. Fonseca ,&nbsp;Rogério G. Negri ,&nbsp;Aluísio Pinheiro","doi":"10.1016/j.simpa.2025.100750","DOIUrl":"10.1016/j.simpa.2025.100750","url":null,"abstract":"<div><div>This paper introduces an unsupervised method for detecting spatiotemporal changes in a series of remotely sensed images. Specifically, we employ a fully automatic, data-driven framework that incorporates wavelet approximation, wavelet energy apportionment, and high-dimensional correlation screening of wavelet coefficients. This approach processes sequences of images and produces a mapping of changed and non-changed locations over the analyzed period.</div></div>","PeriodicalId":29771,"journal":{"name":"Software Impacts","volume":"24 ","pages":"Article 100750"},"PeriodicalIF":1.3,"publicationDate":"2025-04-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143881638","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
Infinite Type Centroid java library: An implementation of parameterized coordinates for an enhanced centroid calculation during K-means classification 无限型质心java库：参数化坐标的实现，用于在K-means分类期间增强质心计算
IF 1.3
Software Impacts Pub Date : 2025-04-28 DOI: 10.1016/j.simpa.2025.100751
Victor Hugo Silva-Blancas , José Manuel Álvarez-Alvarado , Hugo Jiménez-Hernández , Ana Marcela Herrera-Navarro , Diana Margarita Córdova-Esparza , Juvenal Rodríguez-Reséndiz
{"title":"Infinite Type Centroid java library: An implementation of parameterized coordinates for an enhanced centroid calculation during K-means classification","authors":"Victor Hugo Silva-Blancas ,&nbsp;José Manuel Álvarez-Alvarado ,&nbsp;Hugo Jiménez-Hernández ,&nbsp;Ana Marcela Herrera-Navarro ,&nbsp;Diana Margarita Córdova-Esparza ,&nbsp;Juvenal Rodríguez-Reséndiz","doi":"10.1016/j.simpa.2025.100751","DOIUrl":"10.1016/j.simpa.2025.100751","url":null,"abstract":"<div><div>InfiniteTypeCentroid presents a theorem design to enhance centroid calculation on the K-means algorithm by integrating a parameters list that produces hidden information and offers improved results choose in the course of research. It shows a capacity for universalization and adaptability to address any mathematical analysis and it can be used in any Java compiler a parent class. Data analysis on use cases results in 18.22% improved accuracy and data behavior for a specific dataverse produces seven tendency charts with enriched significance. Improves data structures by debugging non-significant values and offering an improved methodology for hypothesis definition.</div></div>","PeriodicalId":29771,"journal":{"name":"Software Impacts","volume":"24 ","pages":"Article 100751"},"PeriodicalIF":1.3,"publicationDate":"2025-04-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143895941","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
Symptom-based early detection and classification of plant diseases using AI-driven CNN+KNN Fusion Software (ACKFS) 基于ai驱动的CNN+KNN融合软件（ACKFS）基于症状的植物病害早期检测与分类
IF 1.3
Software Impacts Pub Date : 2025-04-26 DOI: 10.1016/j.simpa.2025.100755
Jayswal Hardik , Rishi Sanjaykumar Patel , Hetvi Desai , Hasti Vakani , Mithil Mistry , Nilesh Dubey
{"title":"Symptom-based early detection and classification of plant diseases using AI-driven CNN+KNN Fusion Software (ACKFS)","authors":"Jayswal Hardik ,&nbsp;Rishi Sanjaykumar Patel ,&nbsp;Hetvi Desai ,&nbsp;Hasti Vakani ,&nbsp;Mithil Mistry ,&nbsp;Nilesh Dubey","doi":"10.1016/j.simpa.2025.100755","DOIUrl":"10.1016/j.simpa.2025.100755","url":null,"abstract":"<div><div>This paper investigates and introduce an AI-driven CNN-KNN Fusion Software (ACKFS) for symptom-based early detection and classification of plant diseases. The approach integrates Convolutional Neural Networks and K-Nearest Neighbor’s to enhance classification accuracy. This research follows a structured four-phase process: pre-processing, segmentation, feature extraction, and classification. Using two datasets, ACKFS significantly improved accuracy to 94.56% and 87.52%, respectively. These results surpass the performance reported by previous researcher’s, demonstrating the effectiveness of CNN-KNN fusion for real-time plant disease detection on smart devices, contributing to precision agriculture and enhanced plant health monitoring.</div></div>","PeriodicalId":29771,"journal":{"name":"Software Impacts","volume":"24 ","pages":"Article 100755"},"PeriodicalIF":1.3,"publicationDate":"2025-04-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143888039","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
MESCNN: Magnitude estimation system based on convolutional neural networks MESCNN：基于卷积神经网络的震级估计系统
IF 1.3
Software Impacts Pub Date : 2025-04-23 DOI: 10.1016/j.simpa.2025.100748
Ji’an Liao , Siran Yang , Yanwei Wang , Jianming Wang , Dengke Zhao , Zhaoyan Li , Zifa Wang
{"title":"MESCNN: Magnitude estimation system based on convolutional neural networks","authors":"Ji’an Liao ,&nbsp;Siran Yang ,&nbsp;Yanwei Wang ,&nbsp;Jianming Wang ,&nbsp;Dengke Zhao ,&nbsp;Zhaoyan Li ,&nbsp;Zifa Wang","doi":"10.1016/j.simpa.2025.100748","DOIUrl":"10.1016/j.simpa.2025.100748","url":null,"abstract":"<div><div>Magnitude is a critical parameter in earthquake early warning systems, directly influencing alert issuance and warning levels. In this study, we introduce the Magnitude Estimation System based on Convolutional Neural Networks (MESCNN), a novel approach built upon the Python programming language and the TensorFlow deep learning framework. MESCNN automates the calculation of earthquake magnitudes using real-time seismic data, leveraging the capabilities of convolutional neural networks (CNN) to analyze seismic waveforms. The system is designed to enhance the accuracy and efficiency of magnitude estimation, thereby enabling more timely and reliable earthquake warnings to reduce the impact of seismic events.</div></div>","PeriodicalId":29771,"journal":{"name":"Software Impacts","volume":"24 ","pages":"Article 100748"},"PeriodicalIF":1.3,"publicationDate":"2025-04-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143879267","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
OBSERVER: Observing Browser Synthetic Environments for Robotization, Verification, Efficiency, and Resilience 观察者：观察自动化、验证、效率和弹性的浏览器合成环境
IF 1.3
Software Impacts Pub Date : 2025-04-22 DOI: 10.1016/j.simpa.2025.100752
Soham Patel , Kailas Patil , Prawit Chumchu
{"title":"OBSERVER: Observing Browser Synthetic Environments for Robotization, Verification, Efficiency, and Resilience","authors":"Soham Patel ,&nbsp;Kailas Patil ,&nbsp;Prawit Chumchu","doi":"10.1016/j.simpa.2025.100752","DOIUrl":"10.1016/j.simpa.2025.100752","url":null,"abstract":"<div><div>OBSERVER is a browser extension intended to record user interactions and their associated DOM structures in real time. It records activities including clicks, inputs, and scrolling, extracts contextual information, and exports it in JSON format. The tool improves test automation, synthetic monitoring, and debugging by offering accurate and reusable interaction data. OBSERVER employs a start-and-stop method to facilitate effective data gathering while reducing overhead. This study examines its design, applications, and prospective research prospects, emphasizing its contributions to automated testing, observability, and performance enhancement in web applications.</div></div>","PeriodicalId":29771,"journal":{"name":"Software Impacts","volume":"24 ","pages":"Article 100752"},"PeriodicalIF":1.3,"publicationDate":"2025-04-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143870755","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
MRTASim: An agent-based multi-robot task allocation simulation MRTASim：基于agent的多机器人任务分配仿真
IF 1.3
Software Impacts Pub Date : 2025-04-22 DOI: 10.1016/j.simpa.2025.100754
Savaş Öztürk
{"title":"MRTASim: An agent-based multi-robot task allocation simulation","authors":"Savaş Öztürk","doi":"10.1016/j.simpa.2025.100754","DOIUrl":"10.1016/j.simpa.2025.100754","url":null,"abstract":"<div><div>In hazardous scenarios with life-threatening risks or in costly or time-consuming situations, autonomous systems must first be tested in a computer environment. This paper introduces MRTASim software developed for multi-robot task allocation experiments. MRTASim uses JADE (Java Agent-Based Development Environment) and allows comparing variations of functions such as path planning, bid valuation, and task scheduling. It displays the results on maps prepared in the environment editor, and automated experiments ensure the accuracy of the results. Academic studies produced with the software, which is constantly updated with new methods and parameters, have been presented at conferences and published in journals.</div></div>","PeriodicalId":29771,"journal":{"name":"Software Impacts","volume":"24 ","pages":"Article 100754"},"PeriodicalIF":1.3,"publicationDate":"2025-04-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143917551","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
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 : 2025-04-22 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":"2025-04-22","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
LISBON TPMS TOOL: An open-source tool for the design of TPMS structures for engineering applications 里斯本TPMS工具：用于工程应用的TPMS结构设计的开源工具
IF 1.3
Software Impacts Pub Date : 2025-03-27 DOI: 10.1016/j.simpa.2025.100747
J.E. Santos , R.B. Ruben , P.R. Fernandes , A.P.G. Castro
{"title":"LISBON TPMS TOOL: An open-source tool for the design of TPMS structures for engineering applications","authors":"J.E. Santos ,&nbsp;R.B. Ruben ,&nbsp;P.R. Fernandes ,&nbsp;A.P.G. Castro","doi":"10.1016/j.simpa.2025.100747","DOIUrl":"10.1016/j.simpa.2025.100747","url":null,"abstract":"<div><div>Structures based on Triply periodic minimal surfaces (TPMS) are employed in catalysis, energy storage, and tissue engineering for biomedical applications, among others. They excel in mechanical performance, surface area, and transport properties compared to traditional lattice structures. This work introduces a versatile tool designed to facilitate the creation and manipulation of TPMS-based structures. It provides total control over lattice properties, for 3D printing and Finite Element simulation purposes. By operating within a Python environment, ensuring accessibility and compatibility with both online and offline workflows, LisbonTPMS-tool aims to become a valuable resource to employ TPMS-based structures in practical applications.</div></div>","PeriodicalId":29771,"journal":{"name":"Software Impacts","volume":"24 ","pages":"Article 100747"},"PeriodicalIF":1.3,"publicationDate":"2025-03-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143807296","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
ArSLR-ML: A Python-based machine learning application for arabic sign language recognition 基于python的机器学习应用程序，用于阿拉伯手语识别
IF 1.3
Software Impacts Pub Date : 2025-03-27 DOI: 10.1016/j.simpa.2025.100746
Lamis Ali Hussein , Ziad Saeed Mohammed
{"title":"ArSLR-ML: A Python-based machine learning application for arabic sign language recognition","authors":"Lamis Ali Hussein ,&nbsp;Ziad Saeed Mohammed","doi":"10.1016/j.simpa.2025.100746","DOIUrl":"10.1016/j.simpa.2025.100746","url":null,"abstract":"<div><div>The ArSLR-ML is a real-time interactive application that uses multi-class Support Vector Machines (SVM) machine learning applied in the classification procedure and MediaPipe in the feature extraction procedure to recognize static Arabic sign language gestures, focusing on numbers and letters and translating them into text and Arabic audio output. The ArSLR-ML was built within the PyCharm IDE using Python with a graphical user interface (GUI), thereby allowing for effective recognition of gestures. The application utilizes the laptop camera and GUI to capture hand gestures to create dataset for machine learning models and implement them in real time.</div></div>","PeriodicalId":29771,"journal":{"name":"Software Impacts","volume":"24 ","pages":"Article 100746"},"PeriodicalIF":1.3,"publicationDate":"2025-03-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143767736","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 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
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