Communications on Applied Nonlinear Analysis最新文献_第8页

Leveraging Expert Knowledge for Mobile Livestock Care: Combining AHP and Naïve Bayes for Diagnosis, Treatment, and Management 利用专家知识进行移动牲畜护理：结合 AHP 和 Naïve Bayes 进行诊断、治疗和管理

Communications on Applied Nonlinear Analysis Pub Date : 2024-07-05 DOI: 10.52783/cana.v31.856

Mohammed Kemal Ahmed, Durga Prasad Sharma, Hussein Seid Worku, Getinet Yima, Amir Ibrahim, T. B. Tufa

{"title":"Leveraging Expert Knowledge for Mobile Livestock Care: Combining AHP and Naïve Bayes for Diagnosis, Treatment, and Management","authors":"Mohammed Kemal Ahmed, Durga Prasad Sharma, Hussein Seid Worku, Getinet Yima, Amir Ibrahim, T. B. Tufa","doi":"10.52783/cana.v31.856","DOIUrl":"https://doi.org/10.52783/cana.v31.856","url":null,"abstract":"This study successfully designed and developed a smartphone application for livestock disease diagnosis, treatment, and reporting. The agile development framework Extreme Programming (XP) ensured efficient iteration and adaptation based on user feedback. Additionally, the integration of the Analytical Hierarchy Process (AHP) with veterinary expert input facilitated the prioritization of disease possibilities within the app. Furthermore, the application of Naive Bayes probability allowed the system to rank diseases based on them likelihood, enhancing the accuracy of diagnoses. Workshops, field observations, group discussions, and interviews with senior veterinary experts were used as data collecting and final product assessment tools to ensure it met the original criteria. Purposive sampling was used to distribute the application to 90 smartphone users who work in veterinary clinics, including 49 senior veterinary medicine students. The proposed system offers benefits such as improved healthcare access, early disease detection, enhanced disease management, and strengthened livestock health surveillance. This multifaceted approach holds significant promise for improving livestock health management, particularly in resource-limited settings.","PeriodicalId":40036,"journal":{"name":"Communications on Applied Nonlinear Analysis","volume":" 5","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-07-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141674114","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

Study on M/M/1 Queueing Netwօrk with Preparatory Wօrk and Feeback using Three Nodes when Catastrophe Occurs 灾难发生时使用三个节点的带预备 Wօrk 和回馈的 M/M/1 队列网络研究

Communications on Applied Nonlinear Analysis Pub Date : 2024-07-05 DOI: 10.52783/cana.v31.853

S. Shanmugasundaram

引用次数: 0

Modelling Neutrosophic Agility Index: A Mathematical Framework 中性敏捷指数建模：数学框架

Communications on Applied Nonlinear Analysis Pub Date : 2024-07-05 DOI: 10.52783/cana.v31.833

M. Kavitha

{"title":"Modelling Neutrosophic Agility Index: A Mathematical Framework","authors":"M. Kavitha","doi":"10.52783/cana.v31.833","DOIUrl":"https://doi.org/10.52783/cana.v31.833","url":null,"abstract":"Introduction: This study uses a fuzzy-based methodology that combines agility score and certainty functions to assess the values of learning mathematics quickly. The paper emphasises the need of understanding the value of learning mathematics through tools like the Neutronosophic Agility Index in addition to discussing the usage of surveys to assess it.\u0000Objective: The aim of this study is to evaluate the values of learning mathematics’ agility by employing a fuzzy based methodology that integrates score and certainty functions. Finding out how agile the values are now and looking into ways to make them more agile are the objectives.\u0000Method: A paradigm for assessing the values of learning mathematical skills agility is established using a neutrosophic fuzzy method. The agility score is calculated to evaluate the level of agility. Additionally, the article recommends carrying out additional research using particular performance assessment standards.\u0000Result: The findings show that, according to its agility score, the benefit of knowing mathematics is \"fairly agile\". It implies the possibility of more progress by putting improvement recommendations into practice. It also emphasises the relationship between performance, agility, and organisational culture, underscoring the necessity for additional research employing a variety of fuzzy methodologies.\u0000Conclusion: In conclusion, the study is represented by agility scores corresponding to specific values. Self-confidence, with an agility score of 0.5377, ranks first, indicating reasonable confidence in decision-making. Perseverance (score: 0.5356) reflects resilience and determination. Decision-making (score: 0.5239) suggests a balanced approach. Tolerance (score: 0.5185) relates to handling diversity. Higher Order Thinking (score: 0.5166) involves cognitive abilities. The average agility score (0.5265) falls within the ‘Fairly Agile’ range. Enhancing these values can lead to higher agility categories.\u0000","PeriodicalId":40036,"journal":{"name":"Communications on Applied Nonlinear Analysis","volume":" 2","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-07-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141674959","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

Computational Predictions of MGMT Promoter Methylation in Gliomas: A Mathematical Radiogenomics Approach 胶质瘤中 MGMT Promoter 甲基化的计算预测：放射基因组学数学方法

Communications on Applied Nonlinear Analysis Pub Date : 2024-07-05 DOI: 10.52783/cana.v31.844

Ayesha Agrawal, V. Maan

{"title":"Computational Predictions of MGMT Promoter Methylation in Gliomas: A Mathematical Radiogenomics Approach","authors":"Ayesha Agrawal, V. Maan","doi":"10.52783/cana.v31.844","DOIUrl":"https://doi.org/10.52783/cana.v31.844","url":null,"abstract":"In the treatment of glioblastomas, non-invasive methods for determining MGMT gene promoter methylation status are crucial due to their implications for chemotherapy responsiveness. This study utilizes a mathematical and computational framework to extract and analyze radiogenomic data from MRI images to predict the methylation status. The first step in our framework involves extracting radiogenomic data from MRI images. This process requires sophisticated image processing techniques to convert MRI scans into a format suitable for machine learning analysis. The features extracted include textural patterns, intensity distributions, and other relevant radiomic characteristics.To identify the most significant features, we employ a Random Forest (RF) algorithm. Mathematically, RF is an ensemble learning method that operates by constructing multiple decision trees during training and outputting the mode of the classes for classification tasks. The importance of each feature is evaluated based on its contribution to the accuracy of the model, quantified by metrics such as Gini impurity or information gain. Employing advanced machine learning models like VGG19, ResNet50, and Sequential FCNet Artificial Neural Networks, alongside traditional classifiers such as Naive Bayes and Logistic Regression, we analyze features identified by a Random Forest algorithm. Our mathematical approach ensures rigorous evaluation of model accuracy through sensitivity, specificity, and other performance metrics, presenting the Sequential FCNet ANN combined with ResNet50 as the superior model. This research contributes to the field of precision healthcare by enhancing the mathematical methods used in the non-invasive diagnosis of glioblastomas.","PeriodicalId":40036,"journal":{"name":"Communications on Applied Nonlinear Analysis","volume":" 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-07-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141677421","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

On GeneralizedNanoℕ?̌-Closed andNanoℕα̂-OpenSetsin Nano-Topological Spaces 论纳米拓扑空间中的广义纳米ℕ?

Communications on Applied Nonlinear Analysis Pub Date : 2024-07-05 DOI: 10.52783/cana.v31.858

Abdulaziz .S. Hameed

引用次数: 0

Decentralization of Identity using Ethereum and IPFS 使用以太坊和 IPFS 实现身份去中心化

Communications on Applied Nonlinear Analysis Pub Date : 2024-07-05 DOI: 10.52783/cana.v31.917

S. Lohar, S. D. Babar, P. N. Mahalle, India Pune

引用次数: 0

Theoretical Foundation, Topological Technique, and Decision-Making Application of Intuitionistic Fuzzy D-Algebra 直觉模糊 D-代数的理论基础、拓扑技术和决策应用

Communications on Applied Nonlinear Analysis Pub Date : 2024-07-05 DOI: 10.52783/cana.v31.945

M. Siva

{"title":"Theoretical Foundation, Topological Technique, and Decision-Making Application of Intuitionistic Fuzzy D-Algebra","authors":"M. Siva","doi":"10.52783/cana.v31.945","DOIUrl":"https://doi.org/10.52783/cana.v31.945","url":null,"abstract":"Intuitionistic fuzzy D-algebra introduces a novel framework extending classical fuzzy algebra by incorporating degrees of membership and non-membership. This approach addresses the inherent uncertainty and imprecision in real-world systems. Topological techniques facilitate the analysis of convergence and continuity properties, ensuring the robustness of mathematical models. The need for such a framework arises from the limitations of classical fuzzy algebra in capturing nuanced degrees of uncertainty. Real-world decision-making processes often involve complex, ambiguous information that cannot be adequately represented by binary membership functions alone. Intuitionistic fuzzy D-algebra offers a more nuanced representation, expressing hesitation and uncertainty inherent in decision-making contexts. The proposed work comprehensively explores intuitionistic fuzzy D-algebra, including the formal definition of core structures, mathematical modelling, validation strategies through examples and counterexamples, and the development of interactive visualizations. By integrating computational tools and theoretical insights, this framework provides a versatile platform for addressing uncertainty in various domains, from decision-making systems to artificial intelligence, thus paving the way for innovative solutions and improved decision outcomes. The results provide an immersive exploration into the intricacies of intuitionistic fuzzy D-algebra. From the transformation of fuzzy sets into topological spaces to the dynamic manipulation of algebraic operations, each visualization offers an intense dive into understanding uncertainty and imprecision. The visuals serve as powerful educational tools, enabling a profound grasp of complex mathematical concepts and their practical implications in decision-making systems and artificial intelligence.","PeriodicalId":40036,"journal":{"name":"Communications on Applied Nonlinear Analysis","volume":" 2","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-07-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141674681","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

Numerical and Analytical Approaches to Fractional Quantum Mechanics 分数量子力学的数值和分析方法

Communications on Applied Nonlinear Analysis Pub Date : 2024-07-05 DOI: 10.52783/cana.v31.936

Vikas Kumar, Dr Nand Kumar

{"title":"Numerical and Analytical Approaches to Fractional Quantum Mechanics","authors":"Vikas Kumar, Dr Nand Kumar","doi":"10.52783/cana.v31.936","DOIUrl":"https://doi.org/10.52783/cana.v31.936","url":null,"abstract":"Our research meticulously navigates the realms of Fractional Quantum Mechanics (FQM), focusing on a critical examination of both numerical and analytical methods that harness the potential of fractional calculus to illuminate the quantum world's complexities. By embarking on this scholarly journey, we aim to decode the intricate dynamics that fractional equations reveal about quantum systems, pushing the boundaries of conventional quantum mechanics. This comparative study meticulously evaluates the efficacy and insights provided by these two distinct approaches, highlighting their contributions to a deeper understanding of quantum phenomena. As we traverse through the layers of quantum dynamics, our work seeks to contribute significantly to the theoretical framework of FQM, offering innovative perspectives and methodologies. The essence of this research lies in its potential to forge new theoretical pathways and inspire further exploration in the quantum domain, leveraging the unique capabilities of fractional calculus. By enriching the scientific community with our findings, we aspire to open new horizons in the study of quantum mechanics, marking a step forward in the ongoing quest to unravel the mysteries of the quantum universe.","PeriodicalId":40036,"journal":{"name":"Communications on Applied Nonlinear Analysis","volume":" 29","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-07-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141674988","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 Novel Hybrid SDR Model for Dengue Prediction using Opt_Recurr Feature Selection Algorithm 利用 Opt_Recurr 特征选择算法建立用于登革热预测的新型混合 SDR 模型

Communications on Applied Nonlinear Analysis Pub Date : 2024-07-05 DOI: 10.52783/cana.v31.857

Dr. S. Nagasundaram

引用次数: 0

Fuzzy S-Transform is used for Identifying Image Borders of the Medial Model Mycosic Fungoides 利用模糊 S 变换识别真菌病内侧模型的图像边界

Communications on Applied Nonlinear Analysis Pub Date : 2024-07-05 DOI: 10.52783/cana.v31.831

S. I. Al-Ali

引用次数: 0