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Al-Rafidain Journal of Computer Sciences and Mathematics最新文献

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New Codes Arising from Complete (k, n)- arcs in PG(3,17) PG(3,17) 中由完整 (k, n) - 弧产生的新代码
Al-Rafidain Journal of Computer Sciences and Mathematics Pub Date : 2023-12-23 DOI: 10.33899/csmj.2023.181633
dakheel Elias, Nada Kasm Yahya
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引用次数: 0
Solving Integral Equations via a hybrid method between the Modified Adomian Decomposition Method and Bee Algorithm 通过修正阿多米分解法和蜜蜂算法的混合方法求解积分方程
Al-Rafidain Journal of Computer Sciences and Mathematics Pub Date : 2023-12-23 DOI: 10.33899/csmj.2023.181627
Noor Basam, Ahmed Entesar
{"title":"Solving Integral Equations via a hybrid method between the Modified Adomian Decomposition Method and Bee Algorithm","authors":"Noor Basam, Ahmed Entesar","doi":"10.33899/csmj.2023.181627","DOIUrl":"https://doi.org/10.33899/csmj.2023.181627","url":null,"abstract":"Abstract","PeriodicalId":144797,"journal":{"name":"Al-Rafidain Journal of Computer Sciences and Mathematics","volume":"20 3","pages":""},"PeriodicalIF":0.0,"publicationDate":"2023-12-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139162776","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
Combining Laplace transform and Adomian decomposition method for solving singular IVPs of Emden-Fowler of partial differential equations 结合拉普拉斯变换和阿多米安分解法求解偏微分方程的埃姆登-福勒奇异 IVPs
Al-Rafidain Journal of Computer Sciences and Mathematics Pub Date : 2023-12-23 DOI: 10.33899/csmj.2023.181634
W. Al-Hayani, Fatima Yassin
{"title":"Combining Laplace transform and Adomian decomposition method for solving singular IVPs of Emden-Fowler of partial differential equations","authors":"W. Al-Hayani, Fatima Yassin","doi":"10.33899/csmj.2023.181634","DOIUrl":"https://doi.org/10.33899/csmj.2023.181634","url":null,"abstract":"Abstract","PeriodicalId":144797,"journal":{"name":"Al-Rafidain Journal of Computer Sciences and Mathematics","volume":"57 3","pages":""},"PeriodicalIF":0.0,"publicationDate":"2023-12-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139161334","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
Bifurcation Theory: A Review 分岔理论：回顾
Al-Rafidain Journal of Computer Sciences and Mathematics Pub Date : 2023-12-23 DOI: 10.33899/csmj.2023.181648
dakheel Elias, Nada Kasm Yahya, Salma Farris, manal Hamdi
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引用次数: 0
Deepfake Detection Model Based on Combined Features Extracted from Facenet and PCA Techniques 基于从 Facenet 和 PCA 技术提取的组合特征的深度伪造检测模型
Al-Rafidain Journal of Computer Sciences and Mathematics Pub Date : 2023-12-23 DOI: 10.33899/csmj.2023.181628
Duha Amir Al_Dulaimi, Laheeb Ibrahim
{"title":"Deepfake Detection Model Based on Combined Features Extracted from Facenet and PCA Techniques","authors":"Duha Amir Al_Dulaimi, Laheeb Ibrahim","doi":"10.33899/csmj.2023.181628","DOIUrl":"https://doi.org/10.33899/csmj.2023.181628","url":null,"abstract":"Abstract","PeriodicalId":144797,"journal":{"name":"Al-Rafidain Journal of Computer Sciences and Mathematics","volume":"49 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2023-12-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139161899","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
Workload Forecasting Methods in Cloud Environments: An Overview 云环境中的工作量预测方法：概述
Al-Rafidain Journal of Computer Sciences and Mathematics Pub Date : 2023-12-23 DOI: 10.33899/csmj.2023.181629
Samah Aziz, Manar Kashmoola
{"title":"Workload Forecasting Methods in Cloud Environments: An Overview","authors":"Samah Aziz, Manar Kashmoola","doi":"10.33899/csmj.2023.181629","DOIUrl":"https://doi.org/10.33899/csmj.2023.181629","url":null,"abstract":"Abstract","PeriodicalId":144797,"journal":{"name":"Al-Rafidain Journal of Computer Sciences and Mathematics","volume":"23 4","pages":""},"PeriodicalIF":0.0,"publicationDate":"2023-12-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139162727","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
Family of One-Step A-Stable Optimized Third Derivative Hybrid Block Methods for Solving General Second-Order IVPs 用于求解一般二阶 IVP 的一步 A-稳定优化三次微分混合组块方法系列
Al-Rafidain Journal of Computer Sciences and Mathematics Pub Date : 2023-12-23 DOI: 10.33899/csmj.2023.143686.1086
Saidu Yakubu
{"title":"Family of One-Step A-Stable Optimized Third Derivative Hybrid Block Methods for Solving General Second-Order IVPs","authors":"Saidu Yakubu","doi":"10.33899/csmj.2023.143686.1086","DOIUrl":"https://doi.org/10.33899/csmj.2023.143686.1086","url":null,"abstract":"Abstract","PeriodicalId":144797,"journal":{"name":"Al-Rafidain Journal of Computer Sciences and Mathematics","volume":"240 2","pages":""},"PeriodicalIF":0.0,"publicationDate":"2023-12-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139161152","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
Performance Evaluation of Artificial Neural Network Methods Based on Block Machine Learning Classification 基于块机器学习分类的人工神经网络方法性能评估
Al-Rafidain Journal of Computer Sciences and Mathematics Pub Date : 2023-12-23 DOI: 10.33899/csmj.2023.142250.1079
Raya Hamdy, Mohammed Younis
{"title":"Performance Evaluation of Artificial Neural Network Methods Based on Block Machine Learning Classification","authors":"Raya Hamdy, Mohammed Younis","doi":"10.33899/csmj.2023.142250.1079","DOIUrl":"https://doi.org/10.33899/csmj.2023.142250.1079","url":null,"abstract":"— Traditional (pixel-by-pixel) classification techniques are time-consuming, whereas semantic segmentation in machine learning requires assigning class labels to each pixel in an image. This study proposes a block-by-block (5x5 chunks) segmentation method for semantic segmentation, which involves image dissection, feature extraction, and model training based on specific color and textural properties. Thirty cat photos from the Oxford-IIIT Pet dataset were used for evaluation. Five different Artificial Neural Network (ANN) models, including LM, BGFGS, RP, SCG, and GDX, were trained and assessed for both pixel-based and block-based methods. The accuracy of the block-based classification ranges from 82.94% to 85.83%, surpassing the pixel-based approach, which ranges from 70.82% to 76.47%. The processing time for the models also improved with the block-based method. For the pixel-based approach, RP model takes the longest processing time i.e., 242.39 seconds, while GDX model takes the shortest processing time i.e., 49.89 seconds. For the block-based approach, LM model takes the longest processing time i.e., 13.86 seconds, while GDX still has the shortest processing time i.e., 5.98 seconds. Therefore, block-based methods can be seen as more efficient and accurate for classification models. The LM model achieved the highest accuracy on test images, ranging from 94.72% to 89.81%, while the GDX model had the lowest accuracy, ranging from 92.96% to 81.15%. The remaining models, RP, SCG, and BFG, have intermediate levels of accuracy.","PeriodicalId":144797,"journal":{"name":"Al-Rafidain Journal of Computer Sciences and Mathematics","volume":"63 10","pages":""},"PeriodicalIF":0.0,"publicationDate":"2023-12-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139162313","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
The Intelligent Recognition of Speech Emotions: Survey Study 语音情感的智能识别：调查研究
Al-Rafidain Journal of Computer Sciences and Mathematics Pub Date : 2023-12-23 DOI: 10.33899/csmj.2023.181626
Ali Abdulwahhab Yehya al_saffar, F. Ramo
{"title":"The Intelligent Recognition of Speech Emotions: Survey Study","authors":"Ali Abdulwahhab Yehya al_saffar, F. Ramo","doi":"10.33899/csmj.2023.181626","DOIUrl":"https://doi.org/10.33899/csmj.2023.181626","url":null,"abstract":"Abstract","PeriodicalId":144797,"journal":{"name":"Al-Rafidain Journal of Computer Sciences and Mathematics","volume":"27 4","pages":""},"PeriodicalIF":0.0,"publicationDate":"2023-12-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139162554","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
Solving special systems of integral equations by using Sumudu transform with a semi-analytical method 利用半解析法的苏木杜变换求解特殊积分方程组
Al-Rafidain Journal of Computer Sciences and Mathematics Pub Date : 2023-12-23 DOI: 10.33899/csmj.2023.181631
W. Al-Hayani
{"title":"Solving special systems of integral equations by using Sumudu transform with a semi-analytical method","authors":"W. Al-Hayani","doi":"10.33899/csmj.2023.181631","DOIUrl":"https://doi.org/10.33899/csmj.2023.181631","url":null,"abstract":"In this paper, specific forms of non-linear systems of integral equations have been solved using the Sumudu transform and the Adomian decomposition method. To illustrate the method, three examples of various forms in this class of functional equations have been developed. The method has produced an approximate-exact solution for several systems. The method's accuracy, efficiency, and simplicity are demonstrated by the results of applying it to various systems of these kinds of integral equations.","PeriodicalId":144797,"journal":{"name":"Al-Rafidain Journal of Computer Sciences and Mathematics","volume":"41 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2023-12-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139162846","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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