{"title":"Classification of Breast cancer tumors using Feature Selection and CNN","authors":"S. Anparasy","doi":"10.31705/eru.2021.11","DOIUrl":"https://doi.org/10.31705/eru.2021.11","url":null,"abstract":"Breast cancer is one of the most dangerous diseases in the world and almost two million new cases are diagnosed every year. It starts from the breasts tissue and then spreads to other parts of the body. Early detection of breast cancer is important to save the life of a woman as it is related with a risen number of available treatment options. Benign and malignant are the major types of tumors and they are cancerous and non-cancerous, respectively. Benign is not dangerous since it does not destroy the nearby tissues and cannot spread or grow. Malignant tumor invades neighbouring tissues, blood vessels and spreads to other parts of the body by metastasis. Therefore, differentiating malignant from benign will help to detect breast cancer in its early stage. Nowadays, machine learning techniques are used to classify the tumor types hence the quality of lift is increased.","PeriodicalId":308978,"journal":{"name":"ERU Symposium 2021 Proceedings","volume":"53 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-09-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115207910","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}
{"title":"Developing a National Eco-System for Sustainable Vegatable Supply Chain in Sri Lanka","authors":"Ruchira T. Gunarathne, Y. M. Bandara","doi":"10.31705/eru.2021.8","DOIUrl":"https://doi.org/10.31705/eru.2021.8","url":null,"abstract":"Fruits and vegetables supply chain in Sri Lanka has always been a contemporary topic due to its significant value to the economy of the country. The existing fruits and vegetables supply chain is already suffering from dilemmas such as high price fluctuations, excess supply and wastage, involvement of large number of intermediaries and lack of infrastructure. The recent Covid-19 pandemic has put a tremendous pressure on already trembling supply chains. Sudden lock downs have led to disruption of existing distribution channels resulting farmers throwing away millions of tons of fresh fruits and vegetables while consumers in urban areas paying extremely high prices for fresh produce. The current situations clearly demonstrate the need for a more responsive and integrated vegetables supply chain for Sri Lanka. This paper attempts to create a conceptual model for the vegetable supply chain ecosystem for Sri Lanka.","PeriodicalId":308978,"journal":{"name":"ERU Symposium 2021 Proceedings","volume":"19 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-09-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132812483","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}
{"title":"Decision tree application for model built-up land fragmentation in urban areas","authors":"Nesha Ranaweera, A. Jayasinghe, C. Abenayake","doi":"10.31705/eru.2021.1","DOIUrl":"https://doi.org/10.31705/eru.2021.1","url":null,"abstract":"Land fragmentation can define as the “situation where one area/unit is composed of a large number of parcels that are too small for their rational utilization” [5]. Land fragmentation affects sustainable development through its multiple impacts on environmental, economic, and social costs [13]. Effective land use management and policy decisions are always based on understanding, modeling, and predicting land-use changes in cities [9]. Therefore, the land fragmentation process should systematically investigate to provide a wide-ranging set of land use indicators to support sustainable development [12]. Built-up land fragmentation is the fragmentation or division of the built-up plots or units within the built-up land-use area horizontally. The objective of this study is to frame a Decision Tree (DT) model to identify the non-linear relationships between the Level of Built-up Land Fragmentation (LBLF) and its influencing factors in urban areas. The sub-objective is to quantify the LBLF in the Western Province, Sri Lanka. The study scope limits to LBLF and Decision Tree (DT) non-linear classifier. The study further quantifies the LBLF from 2000 to 2010 in Western Province, Sri Lanka as an initiation to frame the DT model.","PeriodicalId":308978,"journal":{"name":"ERU Symposium 2021 Proceedings","volume":"27 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-07-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122356836","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}
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