2022 IEEE International Conference on Automatic Control and Intelligent Systems (I2CACIS)最新文献

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A Non-Mitosis Reduction Method using Semantic Descriptors for Breast Cancer Mitosis Detection Application 使用语义描述符的非有丝分裂减少方法在乳腺癌有丝分裂检测中的应用

2022 IEEE International Conference on Automatic Control and Intelligent Systems (I2CACIS) Pub Date : 2022-06-25 DOI: 10.1109/i2cacis54679.2022.9815478

Lu Min, Tan Xiao Jian, Khairul Shakir Ab Rahman, Teoh Leong Hoe, Quah Yi Hang, Wong Chung Yee, Yip Sook Yee, W. Z. A. Wan Muhamad, Teoh Chai Ling

{"title":"A Non-Mitosis Reduction Method using Semantic Descriptors for Breast Cancer Mitosis Detection Application","authors":"Lu Min, Tan Xiao Jian, Khairul Shakir Ab Rahman, Teoh Leong Hoe, Quah Yi Hang, Wong Chung Yee, Yip Sook Yee, W. Z. A. Wan Muhamad, Teoh Chai Ling","doi":"10.1109/i2cacis54679.2022.9815478","DOIUrl":"https://doi.org/10.1109/i2cacis54679.2022.9815478","url":null,"abstract":"Based on the Nottingham Histopathology Grading system, mitosis count is one of the important criteria that contribute to the overall grade of breast cancer. Over the years, many automated mitosis detection methods have been proposed. Nonetheless, the ever-increasing demand for quality detection continues by seeking optimization in each stage in the detection pipeline. This paper aims to focus on the optimization of the non-mitosis cells reduction stage by proposing three semantic descriptors: solidity, eccentricity, and area to eliminate the non-mitosis cells in breast histopathology images. The proposed method consists of three stages: (1) color normalization, (2) nucleus segmentation, and (3) non-mitosis reduction and its performance was evaluated using 40 histopathology images. The proposed three semantic descriptors were found to be useful and effective in reducing non-mitosis cells, achieving 96.18% (with standard deviation tabulated at ±1.6374%) across the dataset.","PeriodicalId":332297,"journal":{"name":"2022 IEEE International Conference on Automatic Control and Intelligent Systems (I2CACIS)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-06-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"134151443","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

Application of Weighted Latent Variable Model Predictive Control in Batch Process Temperature Control 加权潜变量模型预测控制在间歇过程温度控制中的应用

2022 IEEE International Conference on Automatic Control and Intelligent Systems (I2CACIS) Pub Date : 2022-06-25 DOI: 10.1109/i2cacis54679.2022.9815273

Faisal Al Thobiani, Muneer Ammami, A. Shamekh, A. Altowati

引用次数: 0

Study and Analysis of Various Crop Prediction Techniques in IoT Network: An Overview 物联网中各种作物预测技术的研究与分析综述

2022 IEEE International Conference on Automatic Control and Intelligent Systems (I2CACIS) Pub Date : 2022-06-25 DOI: 10.1109/i2cacis54679.2022.9815485

S.Anitha Rajathi, Arun Sahayadhas, A. Melvin

{"title":"Study and Analysis of Various Crop Prediction Techniques in IoT Network: An Overview","authors":"S.Anitha Rajathi, Arun Sahayadhas, A. Melvin","doi":"10.1109/i2cacis54679.2022.9815485","DOIUrl":"https://doi.org/10.1109/i2cacis54679.2022.9815485","url":null,"abstract":"In the agriculture domain, the main issues determined are knowledge deficiencies regarding alterations in climate. As each crop poses its own climatic features, but the issues confronted in agriculture are managed using precise farming methods. The precision farming assists in fulfilling the demand for food, maintaining crop productivity, and increasing the yield rate. In India, the emerging needs require sustainable agriculture. The two main issues in agriculture are the selection of crops and altering climatic conditions, which are solved by examining prediction and monitoring techniques, but there is no solution for the crop suggestion. This survey examines several techniques based on crop prediction in the IoT network. This study utilizes 25 research papers focused on several methods, and review of researches based on the classical technique is devised. The assessment is done based on publication year, research technique, implementation tools, performance measures and achievement of the research methodologies towards crop prediction techniques in IoT network. At the end, the research gaps and issues of the existing techniques are devised in such a way that the motivation for developing an effective method for crop prediction techniques in IoT network is revealed.","PeriodicalId":332297,"journal":{"name":"2022 IEEE International Conference on Automatic Control and Intelligent Systems (I2CACIS)","volume":"49 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-06-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114941339","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: 1

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