Proceedings of the 3rd International Conference on Integrated Intelligent Computing Communication & Security (ICIIC 2021)最新文献_第8页

Learning Improved Class Vector for Multi-Class Question Type Classification 学习改进的类向量多类问题类型分类

Proceedings of the 3rd International Conference on Integrated Intelligent Computing Communication & Security (ICIIC 2021) Pub Date : 1900-01-01 DOI: 10.2991/ahis.k.210913.015

Tanu Gupta, Ela Kumar

引用次数: 1

Smart Assistive Activity Recognition Device for Differently Abled People Based on Machine Learning -SAARD 基于机器学习的异障人士智能辅助活动识别装置

Proceedings of the 3rd International Conference on Integrated Intelligent Computing Communication & Security (ICIIC 2021) Pub Date : 1900-01-01 DOI: 10.2991/ahis.k.210913.047

Jayashree Agarkhed, Lubna Tahreem

引用次数: 0

Retinopathy Based Multistage Classification of Diabeties 基于视网膜病变的糖尿病多阶段分类

Proceedings of the 3rd International Conference on Integrated Intelligent Computing Communication & Security (ICIIC 2021) Pub Date : 1900-01-01 DOI: 10.2991/ahis.k.210913.008

N. Deepak, G. Savitha, D. Deepak, P. K. Supraj

{"title":"Retinopathy Based Multistage Classification of Diabeties","authors":"N. Deepak, G. Savitha, D. Deepak, P. K. Supraj","doi":"10.2991/ahis.k.210913.008","DOIUrl":"https://doi.org/10.2991/ahis.k.210913.008","url":null,"abstract":"One of the biggest problems faced in biomedical engineering is the non-invasive assessment of the physiological changes that occur within the human body. Particularly, the detection of the abnormalities in the human eye is very difficult due to the numerous complexities involved in the process. Retinal images can be used to determine the nature of the abnormalities that affect the human eye. Standard disease identification techniques from retinal images mostly involve manual intervention. However, since human observation is extremely prone to error, the success rate of these techniques is quite scarce. Diabetic Retinopathy is one such disease of retina which occurs in people suffering from diabetes. It is a multistage progressing disease namely NDPR and PDR. Micro-aneurysms, haemorrhages and exudates are the anomalous features frequently detected in the retinal images of a person afflicted by diabetic retinopathy. Image processing techniques are applied to pre-process the Fundus image, which is followed by segmentation of anomalies. Feature extraction is done and the features that are detected are used to identify the different stages of diabetic retinopathy using Random Forest classification technique. It is observed that, the proposed algorithm results in approximate classification rate up-to 90%","PeriodicalId":417648,"journal":{"name":"Proceedings of the 3rd International Conference on Integrated Intelligent Computing Communication & Security (ICIIC 2021)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125416912","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

Aadhaar Data Analysis Comparison in MapReduce, Hive and Spark MapReduce、Hive和Spark中的Aadhaar数据分析比较

Proceedings of the 3rd International Conference on Integrated Intelligent Computing Communication & Security (ICIIC 2021) Pub Date : 1900-01-01 DOI: 10.2991/ahis.k.210913.036

R. Roopa, V. Ryali, Tejasvi Shrivastava, SyedMuhammad Anwar

引用次数: 0

Customer Churns Prediction Model Based on Machine Learning Techniques: A Systematic Review 基于机器学习技术的客户流失预测模型:系统综述

Proceedings of the 3rd International Conference on Integrated Intelligent Computing Communication & Security (ICIIC 2021) Pub Date : 1900-01-01 DOI: 10.2991/ahis.k.210913.021

Venkata Pullareddy Malikireddy, Madhavi Kasa

{"title":"Customer Churns Prediction Model Based on Machine Learning Techniques: A Systematic Review","authors":"Venkata Pullareddy Malikireddy, Madhavi Kasa","doi":"10.2991/ahis.k.210913.021","DOIUrl":"https://doi.org/10.2991/ahis.k.210913.021","url":null,"abstract":"The customer churn prediction model is required by many companies to predict the risk of customer churn and take necessary actions to prevent churn. Recently, machine-learning techniques are highly applied in customer churn prediction. In this paper, machine learning-based models are applied to the customer churn prediction, which is reviewed with their advantages and limitations. Random Forest methods were highly used in the existing customer churn prediction models due to their advantages of effectively analyzing the features in the data. Feature selection methods such as Particle Swarm Optimization (PSO) and Firefly algorithms were applied to improve the prediction process. The Ensemble classifiers of bagging and boosting of random forest are applied to the prediction of customer churns which achieves higher performance. Deep learning models such as Long Short Term Memory (LSTM) and Convolution Neural Network (CNN) were applied for prediction and achieves higher performance. Random forest model, LSTM, and CNN models have the limitations of overfitting problem of customer churn prediction. Feature selection techniques of PSO and firefly methods have the limitations of poor convergence and lower efficiency in handling the imbalanced dataset.","PeriodicalId":417648,"journal":{"name":"Proceedings of the 3rd International Conference on Integrated Intelligent Computing Communication & Security (ICIIC 2021)","volume":"13 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123719365","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: 4

A Review on Service Business Model Using IoT 基于物联网的服务商业模式综述

Proceedings of the 3rd International Conference on Integrated Intelligent Computing Communication & Security (ICIIC 2021) Pub Date : 1900-01-01 DOI: 10.2991/ahis.k.210913.070

Tan Cheng, I. F. Kamsin, N. Zainal

引用次数: 0

Automated Transcription for Raga Recognition and Classification in Indian Classical Music Using Machine Learning 使用机器学习的印度古典音乐中拉格识别和分类的自动转录

Proceedings of the 3rd International Conference on Integrated Intelligent Computing Communication & Security (ICIIC 2021) Pub Date : 1900-01-01 DOI: 10.2991/ahis.k.210913.026

B. Gowrishankar, U. B. Nagappa

引用次数: 1