MethodsX最新文献_第4页

EMI-LTI: An enhanced integrated model for lung tumor identification using Gabor filter and ROI EMI-LTI：利用 Gabor 滤波器和 ROI 识别肺部肿瘤的增强型综合模型

IF 1.6

MethodsX Pub Date : 2025-02-27 DOI: 10.1016/j.mex.2025.103247

Jayapradha J , Su-Cheng Haw , Naveen Palanichamy , Kok-Why Ng , Muskan Aneja , Ammar Taiyab

{"title":"EMI-LTI: An enhanced integrated model for lung tumor identification using Gabor filter and ROI","authors":"Jayapradha J , Su-Cheng Haw , Naveen Palanichamy , Kok-Why Ng , Muskan Aneja , Ammar Taiyab","doi":"10.1016/j.mex.2025.103247","DOIUrl":"10.1016/j.mex.2025.103247","url":null,"abstract":"<div><div>In this work, the CT scans images of lung cancer patients are analysed to diagnose the disease at its early stage. The images are pre-processed using a series of steps such as the Gabor filter, contours to label the region of interest (ROI), increasing the sharpening and cropping of the image. Data augmentation is employed on the pre-processed images using two proposed architectures, namely (1) Convolutional Neural Network (CNN) and (2) Enhanced Integrated model for Lung Tumor Identification (EIM-LTI).<ul><li><span>•</span><span><div>In this study, comparisons are made on non-pre-processed data, Haar and Gabor filters in CNN and the EIM-LTI models. The performance of the CNN and EIM-LTI models is evaluated through metrics such as precision, sensitivity, F1-score, specificity, training and validation accuracy.</div></span></li><li><span>•</span><span><div>The EIM-LTI model's training accuracy is 2.67 % higher than CNN, while its validation accuracy is 2.7 % higher. Additionally, the EIM-LTI model's validation loss is 0.0333 higher than CNN's.</div></span></li><li><span>•</span><span><div>In this study, a comparative analysis of model accuracies for lung cancer detection is performed. Cross-validation with 5 folds achieves an accuracy of 98.27 %, and the model was evaluated on unseen data and resulted in 92 % accuracy.</div></span></li></ul></div></div>","PeriodicalId":18446,"journal":{"name":"MethodsX","volume":"14 ","pages":"Article 103247"},"PeriodicalIF":1.6,"publicationDate":"2025-02-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143563247","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

Biogrouting with microbial-induced carbonate precipitation (MICP) for improving the physical and mechanical properties of granular soils potential liquefaction 利用微生物诱导碳酸盐沉淀（MICP）进行生物布线，改善可能液化的颗粒土的物理和机械性能

IF 1.6

MethodsX Pub Date : 2025-02-24 DOI: 10.1016/j.mex.2025.103246

Nur Ayu Diana , Ria Asih Aryani Soemitro , Januarti Jaya Ekaputri , Trihanyndio Rendy Satrya , Dwa Desa Warnana

{"title":"Biogrouting with microbial-induced carbonate precipitation (MICP) for improving the physical and mechanical properties of granular soils potential liquefaction","authors":"Nur Ayu Diana , Ria Asih Aryani Soemitro , Januarti Jaya Ekaputri , Trihanyndio Rendy Satrya , Dwa Desa Warnana","doi":"10.1016/j.mex.2025.103246","DOIUrl":"10.1016/j.mex.2025.103246","url":null,"abstract":"<div><div>Biogrouting, a method to enhance soil properties using microorganisms and mechanical techniques, has shown great potential for soil improvement. Most studies focus on small sand columns in labs, but recent tests used 0.5 m plastic boxes filled with sand stabilized with microorganisms and fly ash. The experiments, conducted over 30 days, applied injection and infusion methods with microbial fluids, maintaining groundwater levels to simulate field conditions. Mechanical properties were analyzed through unconfined compressive strength (UCS) tests on extracted samples. Researchers also assessed calcium carbonate distribution and shear strength. Results showed water saturation significantly influenced vertical stress (qu), while UCS correlated with the permeability of sand containing varying calcium carbonate levels. Bacillus safensis, a resilient bacterium used in this process, can withstand extreme conditions. After completing its task, it enters a dormant state and reactivates when needed. The bacteria produce calcium carbonate by binding calcium with enzymes, which cements soil particles, enhancing strength and stability.<ul><li><span>•</span><span><div>Testing enzymes on microbes and natural soil</div></span></li><li><span>•</span><span><div>Installation settings for drip tools using infusion</div></span></li><li><span>•</span><span><div>Soil resistance testing after stabilization using UCS</div></span></li></ul></div></div>","PeriodicalId":18446,"journal":{"name":"MethodsX","volume":"14 ","pages":"Article 103246"},"PeriodicalIF":1.6,"publicationDate":"2025-02-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143580059","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

Efficient scheduling of multiple software projects for work continuity and identical completion time 高效调度多个软件项目，以实现工作连续性和相同的完成时间

IF 1.6

MethodsX Pub Date : 2025-02-21 DOI: 10.1016/j.mex.2025.103215

Abdulrahman Aldhubaiban, Ali AlMatouq

{"title":"Efficient scheduling of multiple software projects for work continuity and identical completion time","authors":"Abdulrahman Aldhubaiban, Ali AlMatouq","doi":"10.1016/j.mex.2025.103215","DOIUrl":"10.1016/j.mex.2025.103215","url":null,"abstract":"<div><div>In software development projects, it is desired to complete multiple projects at minimum cost and time while ensuring that the completion date is the same for all projects to meet certain operational and strategic objectives. Also, full-time employees assigned to projects should be reallocated smoothly to other tasks without any idle time during project execution to minimize costs even further. This study describes a model that enables the use of efficient continuous variable nonlinear solvers for finding the optimal schedule for possibly a large number of multiple software projects that make use of shared resources. The study validates the proposed solution using a random generator of multiple software project instances while interfacing to online optimization solvers to find a solution. Our continuous variable model was solved in the cloud for optimality for large instances of upto 40 different software projects and 100 employees in less than 21 min using nonlinear programming algorithms.<ul><li><span>•</span><span><div>A continuous variable nonlinear model is developed to efficiently schedule large-scale software projects.</div></span></li><li><span>•</span><span><div>The model enables scheduling for multiple projects with identical completion times while ensuring work continuity.</div></span></li><li><span>•</span><span><div>A cloud-based program architecture is designed to facilitate the testing of multiple solvers online.</div></span></li></ul></div></div>","PeriodicalId":18446,"journal":{"name":"MethodsX","volume":"14 ","pages":"Article 103215"},"PeriodicalIF":1.6,"publicationDate":"2025-02-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143509558","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

Fraction collection of bioactive compounds from ion chromatography: No longer mission impossible 从离子色谱法收集生物活性化合物的部分：不再是不可能的任务

IF 1.6

MethodsX Pub Date : 2025-02-21 DOI: 10.1016/j.mex.2025.103243

Hans S.A. Yates , James F. Carter , Mary T. Fletcher , Viviene S. Santiago , Ondrea Thompson , Natasha L. Hungerford

引用次数: 0

Assessing banana stalk susceptibility to pathogens and their virulence 香蕉茎对病原菌的易感性及其毒力评估

IF 1.6

MethodsX Pub Date : 2025-02-20 DOI: 10.1016/j.mex.2025.103244

T. Desmarez , P. Brat , L. Lassois , B. Barral , O. Hubert

引用次数: 0

Desing and methodological process for assessing quasi-experiments in virtual reality environments for deepfake recognition in the artificial intelligence era 人工智能时代深度假识别在虚拟现实环境中准实验评估的设计和方法过程

IF 1.6

MethodsX Pub Date : 2025-02-20 DOI: 10.1016/j.mex.2025.103242

Alberto Sanchez-Acedo, Alejandro Carbonell-Alcocer, Manuel Gertrudix

{"title":"Desing and methodological process for assessing quasi-experiments in virtual reality environments for deepfake recognition in the artificial intelligence era","authors":"Alberto Sanchez-Acedo, Alejandro Carbonell-Alcocer, Manuel Gertrudix","doi":"10.1016/j.mex.2025.103242","DOIUrl":"10.1016/j.mex.2025.103242","url":null,"abstract":"<div><div>Nowadays, the impact of artificial intelligence tools in the professional field must be analyzed, as well as their influence on the field of journalism and information. One of the aspects that has generated most concern in this area is the use of these tools, which can generate audiovisual content, for the creation of deepfakes. This article presents the methodology used to carry out a quasi-experiment designed to study and analyze the behaviour of young people in the face of possible exposure to deepfakes generated with artificial intelligence tools, as well as their ability to identify them. The experiment is conducted in a virtual environment in which participants are immersed in an interact with the environment in which they visualize newspaper front pages that include contextual elements. Participants must review the information included in the virtual environment to determine whether the images displayed correspond to real people or people generated with artificial intelligence tools. In addition, the influence and importance of the contextual elements accompanying an image in determining whether it is fake or real is analyzed. This article aims to detail the methodology used in this experiment to promote its replicability.<ul><li><span>•</span><span><div>This article proposes the method of a detailed guide to be replicated and reproduced in future academic research to understand the media diet of different population groups.</div></span></li><li><span>•</span><span><div>Datasets are provided with results that allow for comparative, longitudinal and replication studies.</div></span></li><li><span>•</span><span><div>The A-Frame framework for the design of virtual environments is introduced and can be used for the design of quasi-experiments.</div></span></li></ul></div></div>","PeriodicalId":18446,"journal":{"name":"MethodsX","volume":"14 ","pages":"Article 103242"},"PeriodicalIF":1.6,"publicationDate":"2025-02-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143511492","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

Enhanced leukemia prediction using hybrid ant colony and ant lion optimization for gene selection and classification 利用杂交蚁群和蚁狮优化基因选择和分类增强白血病预测

IF 1.6

MethodsX Pub Date : 2025-02-20 DOI: 10.1016/j.mex.2025.103239

Santhakumar D , Gnanajeyaraman Rajaram , Elankavi R , Viswanath J , Govindharaj I , Raja J

{"title":"Enhanced leukemia prediction using hybrid ant colony and ant lion optimization for gene selection and classification","authors":"Santhakumar D , Gnanajeyaraman Rajaram , Elankavi R , Viswanath J , Govindharaj I , Raja J","doi":"10.1016/j.mex.2025.103239","DOIUrl":"10.1016/j.mex.2025.103239","url":null,"abstract":"<div><div>Gene selection plays a crucial role in the pre-processing of microarray data, aiming to identify a small set of genes that enhances classification accuracy and reduces costs. Traditional methods, such as Genetic Algorithms (GA) and Maximum Relevance Minimum Redundancy (MRMR), have been widely used, but bio-inspired algorithms like Ant Colony Optimization (ACO) and Ant Lion Optimizer (ALO) have shown promising results. These algorithms are based on natural processes: ACO mimics the foraging behavior of ants, while ALO models the hunting strategy of ant-lion larvae. However, both approaches face challenges like premature convergence and inefficient feature space mapping when used individually. To address these issues, this work introduces a hybrid ACO-ALO method, combining the strengths of both algorithms. The proposed hybrid approach enhances feature selection by improving accuracy, reducing computational complexity, and boosting classifier performance. The proposed model, which identifies the optimal feature set for classification using Support Vector Machine (SVM), has achieved an impressive prediction accuracy of 93.94 %. Results on microarray datasets for leukemia prediction show that the hybrid approach outperforms other methods in terms of both effectiveness and efficiency. This work demonstrates the potential of hybrid optimization techniques in bioinformatics for better gene selection and cancer diagnosis.<ul><li><span>•</span><span><div>Hybrid ACO-ALO approach combines strengths of both algorithms for better feature selection.</div></span></li><li><span>•</span><span><div>Enhances classifier performance while reducing computational complexity.</div></span></li><li><span>•</span><span><div>Outperforms traditional methods on leukemia prediction datasets.</div></span></li></ul></div></div>","PeriodicalId":18446,"journal":{"name":"MethodsX","volume":"14 ","pages":"Article 103239"},"PeriodicalIF":1.6,"publicationDate":"2025-02-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143519613","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 SPI and SPEI for drought forecasting through the power law process: A case study in South Sulawesi, Indonesia 通过幂律过程评估SPI和SPEI用于干旱预测：以印度尼西亚南苏拉威西岛为例

IF 1.6

MethodsX Pub Date : 2025-02-19 DOI: 10.1016/j.mex.2025.103235

Nurtiti Sunusi, Nur Hikmah Auliana

{"title":"Assessing SPI and SPEI for drought forecasting through the power law process: A case study in South Sulawesi, Indonesia","authors":"Nurtiti Sunusi, Nur Hikmah Auliana","doi":"10.1016/j.mex.2025.103235","DOIUrl":"10.1016/j.mex.2025.103235","url":null,"abstract":"<div><div>This study presents a method for assessing drought events by integrating Standardized Precipitation Index (SPI) and Standardized Precipitation Evapotranspiration Index (SPEI) into the Power Law Process (PLP) model. The method begins with identifying drought events based on SPI and SPEI, followed by the Cramér–von Mises goodness-of-fit test to ensure the drought data meets PLP assumptions. Parameter estimation is performed using Maximum Likelihood Estimation (MLE) with a time-truncated approach, treating drought as a random process within a defined observation period. Model validation is conducted by comparing actual drought events with predictions from the cumulative PLP function, while event probabilities are determined using the Nonhomogeneous Poisson Process. Applied to 24 regencies/cities in South Sulawesi, the method showed that 14 regions fit the PLP based on SPI, and 13 regions based on SPEI. Predictions indicate that over the next 12 months, drought will occur for one month based on SPI and two months based on SPEI. This method contributes to the development of drought monitoring and early warning systems, supporting mitigation and adaptation strategies in South Sulawesi.</div><div>The main contributions of this study include:<ul><li><span>•</span><span><div>The development of a novel methodological framework by integrating SPI and SPEI into the PLP for drought analysis</div></span></li><li><span>•</span><span><div>Practical applications in drought early warning systems and drought risk management in South Sulawesi</div></span></li></ul></div></div>","PeriodicalId":18446,"journal":{"name":"MethodsX","volume":"14 ","pages":"Article 103235"},"PeriodicalIF":1.6,"publicationDate":"2025-02-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143474823","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

Evaluating LiDAR technology for accurate measurement of tree metrics and carbon sequestration 评估激光雷达技术对树木指标和碳封存的精确测量

IF 1.6

MethodsX Pub Date : 2025-02-18 DOI: 10.1016/j.mex.2025.103237

Suradet Tantrairatn , Auraluck Pichitkul , Nutchanan Petcharat , Pawarut Karaked , Atthaphon Ariyarit

{"title":"Evaluating LiDAR technology for accurate measurement of tree metrics and carbon sequestration","authors":"Suradet Tantrairatn , Auraluck Pichitkul , Nutchanan Petcharat , Pawarut Karaked , Atthaphon Ariyarit","doi":"10.1016/j.mex.2025.103237","DOIUrl":"10.1016/j.mex.2025.103237","url":null,"abstract":"<div><div>Carbon credits play a crucial role in mitigating climate change by incentivizing reductions in greenhouse gas emissions and providing a measurable way to balance carbon dioxide output, fostering sustainable environmental practices. However, conventional methods of measuring carbon credits are often time-consuming and lack accuracy. This research examines carbon credit measurement in a 40 × 40 <em>m<sup>2</sup></em> rubber forest, evaluating the effectiveness of LiDAR technology in measuring Tree Height (TH) and Diameter at Breast Height (DBH) using a dataset of 100 samples. The method is as follows:<ul><li><span>•</span><span><div>Three measurement methods were compared: conventional techniques using diameter tape and hypsometers, manual LiDAR measurements, and automated measurements using 3D Forest Inventory software with the CloudCompare plugin.</div></span></li><li><span>•</span><span><div>The Mean Absolute Percentage Error (MAPE) for carbon sequestration was 4.276 % for manual LiDAR measurements and 6.901 % for the 3D Forest Inventory method.</div></span></li><li><span>•</span><span><div>Root Mean Square Error (RMSE) values for carbon sequestration using LiDAR measurements were 33.492 kgCO<sub>2</sub>e, whereas RMSE values for the 3D Forest Inventory method were significantly higher. This indicates that manual LiDAR measurements are more accurate and consistent, while the higher RMSE in the 3D Forest Inventory method reflects greater variability and potential estimation errors.</div></span></li></ul></div><div>The findings suggest that LiDAR technology, particularly manual measurements, provides a reliable and efficient alternative for carbon sequestration assessments in forest management.</div></div>","PeriodicalId":18446,"journal":{"name":"MethodsX","volume":"14 ","pages":"Article 103237"},"PeriodicalIF":1.6,"publicationDate":"2025-02-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143474825","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

Retinal fundus imaging-based diabetic retinopathy classification using transfer learning and fennec fox optimization 基于视网膜眼底成像的糖尿病视网膜病变的转移学习和耳廓狐优化分类

IF 1.6

MethodsX Pub Date : 2025-02-17 DOI: 10.1016/j.mex.2025.103232

Indresh Kumar Gupta , Shruti Patil , Supriya Mahadevkar , Ketan Kotecha , Awanish Kumar Mishra , Joel J.P.C. Rodrigues

{"title":"Retinal fundus imaging-based diabetic retinopathy classification using transfer learning and fennec fox optimization","authors":"Indresh Kumar Gupta , Shruti Patil , Supriya Mahadevkar , Ketan Kotecha , Awanish Kumar Mishra , Joel J.P.C. Rodrigues","doi":"10.1016/j.mex.2025.103232","DOIUrl":"10.1016/j.mex.2025.103232","url":null,"abstract":"<div><div>Diabetic retinopathy (DR) is a serious complication of diabetes that can result in vision loss if untreated, often progressing silently without warning symptoms. Elevated blood glucose levels damage the retina's microvasculature, initiating the condition. Early detection through retinal fundus imaging, supported by timely analysis and treatment, is critical for managing DR effectively. However, manually inspecting these images is a labour-intensive and time-consuming process, making computer-aided diagnosis (CAD) systems invaluable in supporting ophthalmologists.</div><div>This research introduces the Fundus Imaging Diabetic Retinopathy Classification using Deep Learning and Fennec Fox Optimization (FIDRC-DLFFO) model, which automates the identification and classification of DR. The model integrates several advanced techniques to enhance performance and accuracy.<ul><li><span>1.</span><span><div>The proposed FIDRC-DLFFO model automates DR detection and classification by combining median filtering for noise reduction, Inception-ResNet-v2 for feature extraction, and a gated recurrent unit (GRU) for classification.</div></span></li><li><span>2.</span><span><div>Fennec Fox Optimization (FFO) fine-tunes the GRU hyperparameters, boosting classification accuracy, with its effectiveness demonstrated on benchmark datasets.</div></span></li><li><span>3.</span><span><div>The results provide insights into the model's effectiveness and potential for real-world application.</div></span></li></ul></div></div>","PeriodicalId":18446,"journal":{"name":"MethodsX","volume":"14 ","pages":"Article 103232"},"PeriodicalIF":1.6,"publicationDate":"2025-02-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143746797","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