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Combatting Spam in Online Chat Platform: A Comprehensive Approach to Detection and Mitigation 打击在线聊天平台中的垃圾邮件:检测和缓解的综合方法
Pub Date : 2024-04-20 DOI: 10.17148/ijarcce.2024.13490
Prathmesh Singh, Viraj Bhojane, Kishan Mishra, Rohan Thamke, Prof. Jagat Gaydhane
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引用次数: 0
Online Rentals Things 在线租赁服务
Pub Date : 2024-04-20 DOI: 10.17148/ijarcce.2024.134105
Ansari S, Abhang Prasad P., Gaikwad Priya, Gidhad Vidya, Karad Akash, Sanap Anuja
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引用次数: 0
Diabetes Prediction using Machine Learning 利用机器学习预测糖尿病
Pub Date : 2024-03-20 DOI: 10.17148/ijarcce.2024.13322
Tushar Kanti De, Prathipati Likhitha, J. Vamsi, T. K. Sai, S. Jaswanth, N. S. K. Teja, P. N. Raju
- Diabetes is a disease caused by a high level of glucose in the human body. Diabetes should not be ignored if it is not treated, then Diabetes can cause serious problems for a person such as: heart problems, kidney problems, high blood pressure, eye damage and can affect other parts of the human body. Curing diabetes can be easier if it is predicted earlier. In order to achieve this project goal we will be able to predict Diabetes in the human body or patient with the highest accuracy by applying, Various Machine Learning Strategies. Machine learning is used to predict accurate values with the available set of patient informations so the accurate values of the diabetes based on the individual can be predicted accurately. In this activity we will use the Learning Machine Planning and compile data to predict diabetes. Logistic Regression (LR), Decision Tree (DT), Support Vector Machine (SVM), Neighboring K-Nearest (KNN), Gradient Boosting (GB) and Random Forest (RF). Accuracy is different for all models compared to other models. Project Work gives a more exact or precise model appearance that the model can precisely foresee diabetes. Our outcome shows that Random Forest has accomplished higher exactness contrasted with other AI systems.
- 糖尿病是一种因人体内葡萄糖水平过高而引起的疾病。糖尿病不容忽视,如果不加以治疗,那么糖尿病会给人带来严重的问题,如:心脏问题、肾脏问题、高血压、眼睛损伤,还会影响人体的其他部位。如果能及早预测,治疗糖尿病就会变得更加容易。为了实现这个项目目标,我们将通过应用各种机器学习策略,以最高的准确率预测人体或患者的糖尿病。机器学习用于利用现有的患者信息集预测准确的数值,因此可以根据个人情况准确预测糖尿病的准确数值。在这项活动中,我们将使用学习机器规划和编译数据来预测糖尿病。逻辑回归(LR)、决策树(DT)、支持向量机(SVM)、最近邻 KNN(KNN)、梯度提升(GB)和随机森林(RF)。与其他模型相比,所有模型的准确度都有所不同。项目工作提供了一个更准确或更精确的模型外观,该模型可以精确地预测糖尿病。我们的结果表明,与其他人工智能系统相比,随机森林的精确度更高。
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引用次数: 0
Diabetes Analysis using Machine Learning with KNN 利用 KNN 机器学习进行糖尿病分析
Pub Date : 2024-03-20 DOI: 10.17148/ijarcce.2024.13327
Dr. P.V.R.D. Prasada Rao, Asritha Musunuru, Subhash Alapati, Abhinava Kamireddy, Venkatesh Jajula
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引用次数: 0
Ensuring Data Quality in ERP Implementations: Key Conversion Considerations 确保 ERP 实施过程中的数据质量:关键转换考虑因素
Pub Date : 2024-03-20 DOI: 10.17148/ijarcce.2024.13340
Tirumala Rao Chimpiri
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引用次数: 0
Fake Currency Detection using Deep Learning 利用深度学习检测假币
Pub Date : 2024-03-20 DOI: 10.17148/ijarcce.2024.13339
Mr. K Bhushanm, M. Asritha, P.Rafiya Sultana, P.Anil Kumar, S.Mahesh Babu
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引用次数: 0
Brain and Mind Roles and Study of External and Interoceptive Senses Using MUSE-2 大脑和思维的作用以及利用 MUSE-2 研究外部感官和内感官
Pub Date : 2024-03-20 DOI: 10.17148/ijarcce.2024.13335
Dean M. Aslam
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引用次数: 0
AttendEase: Simplyfing Manual Attendance Tracking AttendEase: Simplyfing 手动考勤跟踪系统
Pub Date : 2024-03-20 DOI: 10.17148/ijarcce.2024.13330
Siya Shah, Dr. Vaishali Phalke, Shreyansh Gandhi, Omkar Pawar, Kushal Prajapati
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引用次数: 0
OPERATION RESEARCH (OR) 运筹学
Pub Date : 2024-03-20 DOI: 10.17148/ijarcce.2024.13341
Mrs. Anagha A. Bade
{"title":"OPERATION RESEARCH (OR)","authors":"Mrs. Anagha A. Bade","doi":"10.17148/ijarcce.2024.13341","DOIUrl":"https://doi.org/10.17148/ijarcce.2024.13341","url":null,"abstract":"","PeriodicalId":513159,"journal":{"name":"IJARCCE","volume":" 5","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-03-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140389313","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
Early Cavity Detection Using Image Processing Approach 利用图像处理方法进行早期龋齿检测
Pub Date : 2024-03-20 DOI: 10.17148/ijarcce.2024.13321
Vaibhav Bhagat, Dr. Vaishali Phalke, Soham Kate, Yogesh Algude, Tanmay Bhosale, Ms. Punam Desai
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引用次数: 0
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