2023 11th International Symposium on Electronic Systems Devices and Computing (ESDC)最新文献_第4页

Effects of Ferro-thickness and Temperature on Electrical Performance of Si:HfO2 based NC-FinFET 铁厚度和温度对Si:HfO2基NC-FinFET电性能的影响

2023 11th International Symposium on Electronic Systems Devices and Computing (ESDC) Pub Date : 2023-05-04 DOI: 10.1109/ESDC56251.2023.10149857

Ravindra Kumar Maurya, Vivek Kumar, R. Saha, B. Bhowmick

引用次数: 1

The Power of Pre-trained Transformers for Extractive Text Summarization: An Innovative Approach 预训练的变形器在提取文本摘要中的作用:一种创新的方法

2023 11th International Symposium on Electronic Systems Devices and Computing (ESDC) Pub Date : 2023-05-04 DOI: 10.1109/ESDC56251.2023.10149858

Ashwini Tangade, Ashish Kumar Verma, Narayana Darapaneni, Y. Harika, Prasanna, Anwesh Reddy Paduri, Srinath Ram Shankar, Ravi Sadalagi

{"title":"The Power of Pre-trained Transformers for Extractive Text Summarization: An Innovative Approach","authors":"Ashwini Tangade, Ashish Kumar Verma, Narayana Darapaneni, Y. Harika, Prasanna, Anwesh Reddy Paduri, Srinath Ram Shankar, Ravi Sadalagi","doi":"10.1109/ESDC56251.2023.10149858","DOIUrl":"https://doi.org/10.1109/ESDC56251.2023.10149858","url":null,"abstract":"In this study, we suggest a unique method for text summarization that combines the TextRank algorithm, Kmeans clustering, and neural network classification. To determine which phrases in a given text are most crucial, the basic model uses TextRank, a graph-based algorithm. In order to group together comparable sentences, these sentences are subsequently clustered using K-means. The best representative statement from each cluster is chosen as the final summary in the last phase of our method using neural network classification. In order to enhance TextRank’s functionality, we also suggest an optimization strategy called cosine similarity with TextRank (Cosim-TextRank). In order to further improve the model’s accuracy, we also suggest using weighted cosine similarity. Overall, our method successfully creates a summary of the text by choosing significant and illustrative phrases while maintaining the context and content of the original text. The experimental findings demonstrate that, in terms of ROUGE scores and human evaluation, our suggested strategy performs better than the current state-of-the-art methods.","PeriodicalId":354855,"journal":{"name":"2023 11th International Symposium on Electronic Systems Devices and Computing (ESDC)","volume":"3 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-05-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133093796","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

TCAD-Based Analysis of Nanosheet and Forksheet FET Electrical Characteristics in the Presence of Gamma and Heavy Ion Radiation 基于tcad的伽玛和重离子辐射下纳米片和叉片FET电特性分析

2023 11th International Symposium on Electronic Systems Devices and Computing (ESDC) Pub Date : 2023-05-04 DOI: 10.1109/ESDC56251.2023.10149855

Nischal Anand, Rohit Rai, Yashvi Verma, Amit Kumar Singh Chauhan, Deepak Kumar Sharma, Vivek Kumar

引用次数: 0

Diabetic Retinopathy classification through fundus images using Deep Learning 基于深度学习的眼底图像对糖尿病视网膜病变进行分类

2023 11th International Symposium on Electronic Systems Devices and Computing (ESDC) Pub Date : 2023-05-04 DOI: 10.1109/ESDC56251.2023.10149877

T. Dharani, Medikonda Padma Prasamsa, B. Sirisha, Jorige Bala Vivek, Battina Harsha Vardhan

{"title":"Diabetic Retinopathy classification through fundus images using Deep Learning","authors":"T. Dharani, Medikonda Padma Prasamsa, B. Sirisha, Jorige Bala Vivek, Battina Harsha Vardhan","doi":"10.1109/ESDC56251.2023.10149877","DOIUrl":"https://doi.org/10.1109/ESDC56251.2023.10149877","url":null,"abstract":"One of the most common eye diseases in the people aged between 20-74 years is Diabetic Retinopathy (DR). DR is an eye complication where the patient loses his vision due to an increase in glucose levels in the blood. DR is most prominent in the patients who are diagnosed with the diabetes disease. Over one-third of the diabetic mellitus patients are diagnosed with DR. For diagnosing DR, the patient has to visit an ophthalmologist for dilated eye examination. However, everyone cannot have this facility. Hence, there is a need for a simple automated software for diagnosing the five stages of DR efficiently. In this paper, a simple model is developed using the Kaggle APTOS Blindness Detection dataset which is publicly available. In the pre-processing step the images are enhanced and the deep learning model ResNet152 architecture is used for the classification step. After training, the ReseNet152 model yielded a training and validation loss of 0.073 and 0.107 respectively and validation accuracy of 0.97. Further, a simple Graphical User Interface is developed using tkinter framework in python standard library which classifies the given input (a) (b) (c) fundus image as one of the five stages of DR.","PeriodicalId":354855,"journal":{"name":"2023 11th International Symposium on Electronic Systems Devices and Computing (ESDC)","volume":"42 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-05-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125508056","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