International Journal of Computational Intelligence Research (IJCIR)最新文献

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Language Interpretation Using Machine Learning 使用机器学习的语言解释
International Journal of Computational Intelligence Research (IJCIR) Pub Date : 2023-06-30 DOI: 10.37622/ijcir/19.1.2023.37-50
Dr. P. Sunitha Devi
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引用次数: 0
Learning based Software Defect Prediction 基于学习的软件缺陷预测
International Journal of Computational Intelligence Research (IJCIR) Pub Date : 2023-06-30 DOI: 10.37622/ijcir/19.1.2023.51-62
Divya Kumari Tankala
{"title":"Learning based Software Defect Prediction","authors":"Divya Kumari Tankala","doi":"10.37622/ijcir/19.1.2023.51-62","DOIUrl":"https://doi.org/10.37622/ijcir/19.1.2023.51-62","url":null,"abstract":"","PeriodicalId":263533,"journal":{"name":"International Journal of Computational Intelligence Research (IJCIR)","volume":"16 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-06-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122201616","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
Intelligent Deep Learning Based Pothole Detection and Alerting System 基于智能深度学习的凹坑检测与预警系统
International Journal of Computational Intelligence Research (IJCIR) Pub Date : 2023-06-30 DOI: 10.37622/ijcir/19.1.2023.25-35
Dr.M. Seetha
{"title":"Intelligent Deep Learning Based Pothole Detection and Alerting System","authors":"Dr.M. Seetha","doi":"10.37622/ijcir/19.1.2023.25-35","DOIUrl":"https://doi.org/10.37622/ijcir/19.1.2023.25-35","url":null,"abstract":"Potholes are a common problem in roads and highways around the world, which can cause severe damage to vehicles and create safety hazards for drivers. In recent years, deep learning algorithms have been increasingly used for automated pothole detection. This research offers a deep learning-based algorithm that can detect potholes early using photos and videos, reducing the likelihood of an accident. This model is basically based Faster Region-based Convolutional Neural Network(F-RCNN) and You Only Look Once Version 3(YOLO V3). It also discuss the challenges in detecting potholes, such as variable lighting conditions and noise in the data, and how these challenges have been addressed in previous research. Finally, we provide a comparative analysis of the performance of different deep learning algorithms for pothole detection based on accuracy. There are various pothole identification models that combine the accelerometer with machine learning techniques, but there are fewer pothole detection models that use simply machine learning techniques to detect potholes. The findings of this study suggest that deep learning algorithms can provide accurate and efficient pothole detection solutions that can help road authorities to maintain and repair roads, reduce vehicle damage, and enhance road safety.","PeriodicalId":263533,"journal":{"name":"International Journal of Computational Intelligence Research (IJCIR)","volume":"68 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-06-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115011246","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
Evaluation of Deep Learning Models for Fake News Detection 假新闻检测的深度学习模型评价
International Journal of Computational Intelligence Research (IJCIR) Pub Date : 2023-06-30 DOI: 10.37622/ijcir/19.1.2023.1-11
M. Anil
{"title":"Evaluation of Deep Learning Models for Fake News Detection","authors":"M. Anil","doi":"10.37622/ijcir/19.1.2023.1-11","DOIUrl":"https://doi.org/10.37622/ijcir/19.1.2023.1-11","url":null,"abstract":"","PeriodicalId":263533,"journal":{"name":"International Journal of Computational Intelligence Research (IJCIR)","volume":"73 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-06-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132621334","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
Future of Project Management with Machine Learning 项目管理与机器学习的未来
International Journal of Computational Intelligence Research (IJCIR) Pub Date : 2023-06-30 DOI: 10.37622/ijcir/19.1.2023.13-23
R. Mamatha, Dr.Lalitha Surya, Kumari, Dr.A.Sharada
{"title":"Future of Project Management with Machine Learning","authors":"R. Mamatha, Dr.Lalitha Surya, Kumari, Dr.A.Sharada","doi":"10.37622/ijcir/19.1.2023.13-23","DOIUrl":"https://doi.org/10.37622/ijcir/19.1.2023.13-23","url":null,"abstract":"Software companies will constantly work on numerous projects at a time. Project managers are responsible for making each project successful. As to monitor and control many projects organizations use project management tools to perform tasks in a well-organized manner. Current day’s lot of data is generated in organizations related to software development as the organizations use project management tools to track the status of the project. This project data generated by project management tools like Jira, Asana, and Trello can be used to solve resource allocation problems. Though there are numerous solutions for addressing the project scheduling problem, none of them has intelligent decision-making. Research is still scarce in the area of software project management and evidence is required to assess the theoretical methods and ideas. This paper introduces a resource allocation method that uses machine learning for effective project scheduling.","PeriodicalId":263533,"journal":{"name":"International Journal of Computational Intelligence Research (IJCIR)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-06-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129617537","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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