2022 International Conference on Sustainable Computing and Data Communication Systems (ICSCDS)最新文献_第8页

Online Legal Cloud Computing Sharing Application for Smart Medical System Management 智能医疗系统管理的在线法律云计算共享应用

2022 International Conference on Sustainable Computing and Data Communication Systems (ICSCDS) Pub Date : 2022-04-07 DOI: 10.1109/ICSCDS53736.2022.9760713

Jiayu Tong, Zhongyuan Li, Zengzheng Qiao

引用次数: 0

Detection of Abnormalities in Brain using Machine Learning in Medical Image Analysis 医学图像分析中使用机器学习检测大脑异常

2022 International Conference on Sustainable Computing and Data Communication Systems (ICSCDS) Pub Date : 2022-04-07 DOI: 10.1109/ICSCDS53736.2022.9761029

A. Sivasangari, Sivakumar, suji helen, S. Deepa, Vignesh, Suja

{"title":"Detection of Abnormalities in Brain using Machine Learning in Medical Image Analysis","authors":"A. Sivasangari, Sivakumar, suji helen, S. Deepa, Vignesh, Suja","doi":"10.1109/ICSCDS53736.2022.9761029","DOIUrl":"https://doi.org/10.1109/ICSCDS53736.2022.9761029","url":null,"abstract":"In a variety of medical diagnostic applications, Automatic Defect Detection in clinical imaging has turned into the developing field. Computerized discovery of cancer in MRI which gives the data about the aberrant tissues which is essential for the diagnosis. The traditional technique for Abnormalities detection in Brain is human investigation. This strategy is illogical because of the vast volume of data and the imperfection. Henceforth, trusted and programmed algorithms are preferred to prevent the passing pace of human. In this way, Automated tumor discovery techniques are created as it would save the specialist (radiologist) time and acquire the perfectness. Because of the complexities and diversity of malignancies, MRI brain tumour identification is a difficult task. Machine learning approaches are employed to get over the limitations of traditional classifiers in detecting malignancies in brain scans in this study. MRI scans can be utilised to successfully identify sick cells from healthy ones using machine learning and image classifiers. Convolutional neural network algorithm has been used for classification.","PeriodicalId":433549,"journal":{"name":"2022 International Conference on Sustainable Computing and Data Communication Systems (ICSCDS)","volume":"65 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-04-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"117064591","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

‘You Only Look Once’ Application for Autonomous Driving Vehicles & Cricket Spidercams using Convolutional Neural Network in Deep Learning 在深度学习中使用卷积神经网络的自动驾驶汽车和蟋蟀蜘蛛摄像头的“你只看一次”应用

2022 International Conference on Sustainable Computing and Data Communication Systems (ICSCDS) Pub Date : 2022-04-07 DOI: 10.1109/ICSCDS53736.2022.9760926

Ranjith Bhat, R. N.

{"title":"‘You Only Look Once’ Application for Autonomous Driving Vehicles & Cricket Spidercams using Convolutional Neural Network in Deep Learning","authors":"Ranjith Bhat, R. N.","doi":"10.1109/ICSCDS53736.2022.9760926","DOIUrl":"https://doi.org/10.1109/ICSCDS53736.2022.9760926","url":null,"abstract":"Road safety is a prime concern in this era of high speed and automated driving vehicles. Lot of lives are lost or injured every day due to road accidents. Just understanding where the roads are is not adequate for an autonomous vehicle, obstacles like other vehicles and even less impact-resistant pedestrians and cyclists should be identified and avoided. Moreover, a technology proposed should also be capable to augment itself to provide other applications in the related fields. The proposed method here recognizes and report to the system about the objects such as cars, pedestrians, animals, etc. Once the object is identified, the next time vehicle approaches the similar object, it notifies the driver. And it also tells the system whether the object is moving towards or away from our vehicle. Augmenting this algorithm in applications like that of self-driven vehicle or automobiles/devices using Artificial Intelligence for the blind can be made for better safety. The system developed will be subjected to trials in the real life and correlated with an experimental setup.","PeriodicalId":433549,"journal":{"name":"2022 International Conference on Sustainable Computing and Data Communication Systems (ICSCDS)","volume":"221 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-04-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116201832","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

Diabetes Prediction using Machine Learning Classification Algorithms 使用机器学习分类算法预测糖尿病

2022 International Conference on Sustainable Computing and Data Communication Systems (ICSCDS) Pub Date : 2022-04-07 DOI: 10.1109/ICSCDS53736.2022.9760841

M. Dharani, R. Thamilselvan, Dinesh Komarasamy, U. V., S. G., Soundarya M

{"title":"Diabetes Prediction using Machine Learning Classification Algorithms","authors":"M. Dharani, R. Thamilselvan, Dinesh Komarasamy, U. V., S. G., Soundarya M","doi":"10.1109/ICSCDS53736.2022.9760841","DOIUrl":"https://doi.org/10.1109/ICSCDS53736.2022.9760841","url":null,"abstract":"Diabetes is one among the chronic diseases or metabolic diseases in which a person's blood glucose levels in the body gets increased. During this phase, the body cells will not respond properly to the insulin present in the body. Diabetes leads to high blood sugar and it is also considered as one of the deadliest diseases across the globe. Diabetes will also result in many problems if left untreated and undiagnosed. Hence, it has to be taken utmost care and a high level of accuracy is required in the diagnostic phase. With the development of the machine learning system, the researchers have gained the flexibility to predict the glucose level with utmost accuracy. In the existing system, various machine learning algorithms such as Support Vector Machine [SVM], Naive Bayes [NB] and Random Forest [RF] have been separately used to predict the blood sugar and they have also achieved a prediction accuracy of up to 75%. In the proposed system, feature extraction has been included and a comparative analysis has been done with support vector machine, naive bayes and random forest algorithms. Then, the performance of the three algorithms is evaluated in various measures such as accuracy, precision, F-measure and recall.","PeriodicalId":433549,"journal":{"name":"2022 International Conference on Sustainable Computing and Data Communication Systems (ICSCDS)","volume":"52 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-04-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124846217","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

Machine Learning Techniques based Audio Player to Soothe Human Emotions 基于机器学习技术的音频播放器抚慰人类情绪

2022 International Conference on Sustainable Computing and Data Communication Systems (ICSCDS) Pub Date : 2022-04-07 DOI: 10.1109/ICSCDS53736.2022.9760912

K. N. Prasanthi, G. S. S. V. S. Tejaswi, M. J. Sai, G. M. Reddy, L. Yasaswini

引用次数: 0

Multimodal and Multilabel Genre Classification of Movie Trailers 电影预告片的多模态和多标签类型分类

2022 International Conference on Sustainable Computing and Data Communication Systems (ICSCDS) Pub Date : 2022-04-07 DOI: 10.1109/ICSCDS53736.2022.9760773

Aditya Kishore Jha, Akshat Batra, Akshat Dubey, D. Vishwakarma

引用次数: 0

Smart Meet — Facial Recognition-based Conferencing Platform 基于面部识别的智能会议平台

2022 International Conference on Sustainable Computing and Data Communication Systems (ICSCDS) Pub Date : 2022-04-07 DOI: 10.1109/ICSCDS53736.2022.9760973

Navneeth C Krishnan, Ashish Eapen Varghese, Viswajith Sankar, Achyuth Jm, A. Ravikumar, Jisha John

引用次数: 0

Environmental Intelligent Monitoring System based on the Pollution of Toxic Substances in Chemical Production under the Background of Big Data 基于大数据背景下化工生产中有毒物质污染的环境智能监测系统

2022 International Conference on Sustainable Computing and Data Communication Systems (ICSCDS) Pub Date : 2022-04-07 DOI: 10.1109/ICSCDS53736.2022.9761018

Xiyan Ji

引用次数: 0

Prediction of Air Pollutant PM10 using Various SVM Models 几种支持向量机模型对大气污染物PM10的预测

2022 International Conference on Sustainable Computing and Data Communication Systems (ICSCDS) Pub Date : 2022-04-07 DOI: 10.1109/ICSCDS53736.2022.9760965

S. Sunori, P. Negi, Kapil Ghai, Amit Mittal, M. Lohani, M. Manu, P. Juneja

引用次数: 1

Comparison of Different Machine Learning Algorithms for Sentiment Analysis 情感分析中不同机器学习算法的比较

2022 International Conference on Sustainable Computing and Data Communication Systems (ICSCDS) Pub Date : 2022-04-07 DOI: 10.1109/ICSCDS53736.2022.9760846

Gagandeep Kaur, Ajay Sharma

{"title":"Comparison of Different Machine Learning Algorithms for Sentiment Analysis","authors":"Gagandeep Kaur, Ajay Sharma","doi":"10.1109/ICSCDS53736.2022.9760846","DOIUrl":"https://doi.org/10.1109/ICSCDS53736.2022.9760846","url":null,"abstract":"There is an exponential growth in textual content generation every day in today's world. In-app messaging such as Telegram and WhatsApp, social media websites such as Instagram & Facebook, Google searches, news publishing websites, and a variety of additional sources are the possible suppliers. Every instant, all of these sources produce massive amounts of text data. Because of the large amounts of text data, Natural Language Processing (NLP) turns out to be an important tool for interpreting the content. NLP which is a popular subtask of sentiment analysis is the topic of this research. Sentiment Analysis (SA) is a type of textual data mining that discovers and extracts subjective information. It has proven to be an excellent asset for individuals to obtain important data and for organizations to analyze the social outlook of their product, brand or service by observing electronic discussions. The study carried out in this paper primarily focuses on the implementation and performance analysis of various machine learning classification models. The experiment results show that Support Vector Machine (SVM) classifier resulted in the maximum accuracy of 82% for the provided dataset.","PeriodicalId":433549,"journal":{"name":"2022 International Conference on Sustainable Computing and Data Communication Systems (ICSCDS)","volume":"4 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-04-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126489296","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