2022 International Conference on Automation, Computing and Renewable Systems (ICACRS)最新文献

SEHAT: Cloud-based User Sociable Health Care Assistant System SEHAT:基于云的用户社交医疗辅助系统

2022 International Conference on Automation, Computing and Renewable Systems (ICACRS) Pub Date : 2022-12-13 DOI: 10.1109/ICACRS55517.2022.10029166

Sk. Arshiya Sultana, C. Rupa, D. I. Sree, G. S. Sree

引用次数: 0

Effectual Home Automation using ESP32 NodeMCU 使用ESP32 NodeMCU实现家庭自动化

2022 International Conference on Automation, Computing and Renewable Systems (ICACRS) Pub Date : 2022-12-13 DOI: 10.1109/ICACRS55517.2022.10028992

R. Niranjana, Arvind S, V. M, Vishaal S

引用次数: 1

Automated Intracranial Haemorrhage Detection and Classification using Rider Optimization with Deep Learning Model 基于骑手优化和深度学习模型的颅内出血自动检测与分类

2022 International Conference on Automation, Computing and Renewable Systems (ICACRS) Pub Date : 2022-12-13 DOI: 10.1109/ICACRS55517.2022.10029294

KARTHIK T S, Naziya Hussain, N. K. Anushkannan, Rajasekhar Pinnamaneni, Vijayakrishna Rapaka E, Shyamali Das

{"title":"Automated Intracranial Haemorrhage Detection and Classification using Rider Optimization with Deep Learning Model","authors":"KARTHIK T S, Naziya Hussain, N. K. Anushkannan, Rajasekhar Pinnamaneni, Vijayakrishna Rapaka E, Shyamali Das","doi":"10.1109/ICACRS55517.2022.10029294","DOIUrl":"https://doi.org/10.1109/ICACRS55517.2022.10029294","url":null,"abstract":"Intracranial haemorrhage (ICH) refers to a pathological disorder that requires quick decision-making and diagnosis. Computed tomography (CT) can be accurate and dependable diagnosis method for identifying haemorrhages. Automated recognition of ICH through CT scans with a computer-aided diagnosis (CAD) method will be useful to classify and detect the distinct grades of ICH. Due to the latest development of deep learning (DL) techniques in image processing applications, numerous medical imaging methods use it. Thus, this article develops an automated ICH detection and classification using Rider Optimization with Deep Learning (ICHDC-RODL) model. The presented ICHDC-RODL technique mainly determines the presence of ICH using DL concepts. In the presented ICHDCRODL technique, the features are generated by the use of Xtended Central Symmetric Local Binary Pattern (XCS-LBP) model. Moreover, the bidirectional long short-term memory (BiLSTM) method is employed for ICH diagnosis. At last, the rider optimization algorithm (ROA) is exploited for the hyperparameter tuning procedure of the BiLSTM method. To demonstrate the enhanced outcomes of the ICHDC-RODL technique, a series of simulations were performed and the results are examined under various aspects. The simulation outcomes indicate the enhancements of the ICHDC-RODL technique over recent approaches.","PeriodicalId":407202,"journal":{"name":"2022 International Conference on Automation, Computing and Renewable Systems (ICACRS)","volume":"35 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-12-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124789760","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

Intelligent Document Finding using Optical Character Recognition and Tagging 基于光学字符识别和标记的智能文档查找

2022 International Conference on Automation, Computing and Renewable Systems (ICACRS) Pub Date : 2022-12-13 DOI: 10.1109/ICACRS55517.2022.10029142

A. M. Abbas, M. S. Hameed, S. Balakrishnan, K. Anandh

引用次数: 1

Evaluation of Feature Selection and Multi-Class Prediction Methods For Metal Stress 金属应力特征选择与多类预测方法评价

2022 International Conference on Automation, Computing and Renewable Systems (ICACRS) Pub Date : 2022-12-13 DOI: 10.1109/ICACRS55517.2022.10029150

Yash Rathod, Dinesh Vaghela

引用次数: 0

Random Forest, DT And SVM Machine Learning Classifiers for Seed with Advanced WSN Sensor Node 随机森林，DT和SVM机器学习分类器的种子与先进的WSN传感器节点

2022 International Conference on Automation, Computing and Renewable Systems (ICACRS) Pub Date : 2022-12-13 DOI: 10.1109/ICACRS55517.2022.10029310

S. D. Shingade, R. Mudhalwadkar, K. M. Masal

{"title":"Random Forest, DT And SVM Machine Learning Classifiers for Seed with Advanced WSN Sensor Node","authors":"S. D. Shingade, R. Mudhalwadkar, K. M. Masal","doi":"10.1109/ICACRS55517.2022.10029310","DOIUrl":"https://doi.org/10.1109/ICACRS55517.2022.10029310","url":null,"abstract":"Random Forest- RF, Support Vector Machine - SVM and Decision Tree - DT Machine learning classifiers proposed and implemented to develop seed prediction model in Visual Studio code environment using python along with advanced Wireless Sensor Network’s raino-meter sensor node. Wireless sensor network's infrastructure consists of sensors and nodes. Use of a wireless system has the potential for significant savings of workforce, resources and time. By adding Soil pH, Temperature, Humidity and Rainfall sensor in the network one can predict the crop seed to be cultivated in the current time by analyzing the environmental conditions in the farm. Aim of this work is to develop model using data analytics and machine learning techniques. Prediction model is trained on historic environmental data of crops. Based on the history and current environmental data crop recommendation is proposed. Basic data collection nodes with the sensor network provides the required information about environmental parameters. Random Forest- RF, Support Vector Machine - SVM and Decision Tree - DT Machine learning classifiers implemented and results shows Random Forest is the best with 95.12 % accuracy, 94.94 % precision, 94.85 % recall and 95.12 % F1 score. This system helps to provide the correct advice at the correct time.","PeriodicalId":407202,"journal":{"name":"2022 International Conference on Automation, Computing and Renewable Systems (ICACRS)","volume":"47 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-12-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122971463","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

A Comparative Review: Detection and Classification of Cervical Cancer from Pap-Smear Images 宫颈涂片图像检测与分类的比较综述

2022 International Conference on Automation, Computing and Renewable Systems (ICACRS) Pub Date : 2022-12-13 DOI: 10.1109/ICACRS55517.2022.10029169

Krishna Prasad Battula, Sai Chandana Bolem, J. Harikiran

{"title":"A Comparative Review: Detection and Classification of Cervical Cancer from Pap-Smear Images","authors":"Krishna Prasad Battula, Sai Chandana Bolem, J. Harikiran","doi":"10.1109/ICACRS55517.2022.10029169","DOIUrl":"https://doi.org/10.1109/ICACRS55517.2022.10029169","url":null,"abstract":"Cervical cancer (CC) is the fourth most frequent cause of death in women. In the past century, cervical cancer incidence and mortality were significantly decreased because of cytology-based screening. Human papillomavirus (HPV) infection in the cervical area is the main risk factor for the formation of CC. HPV testing was developed as the outcome of the recognition of the human papillomavirus as a critical factor in the development of CC. A fundamental concept in the development of CC is chronic inflammation, which is influenced by HPV proteins both indirectly and directly. The prevalence of cervical cancer will be described generally in this review, along with the reasons why there are variations in the disease’s prevalence and fatality rates. Between 2020 and 2022, a study of the literature was conducted to determine the prevalence of cervical cancer and the causes of its mortality rate differences. Reducing the incidence and death of cervical cancer may be accomplished by addressing these inequities through improved education, improved access to care, and expanded screening and immunization programs.","PeriodicalId":407202,"journal":{"name":"2022 International Conference on Automation, Computing and Renewable Systems (ICACRS)","volume":"32 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-12-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116597175","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

Hardware Integration of Sensors for Automating Smart Homes 智能家居自动化传感器硬件集成

2022 International Conference on Automation, Computing and Renewable Systems (ICACRS) Pub Date : 2022-12-13 DOI: 10.1109/ICACRS55517.2022.10029290

C. Lasya, N. M. Sai, N. G. Reddy, N. M. Reddy, L. S, S. S.

引用次数: 0

Analysis of Coagulation Effect in Veins using MEMS Laminar Flow for Early Heart Stroke Detection MEMS层流检测早期心肌卒中血管凝血效果分析

2022 International Conference on Automation, Computing and Renewable Systems (ICACRS) Pub Date : 2022-12-13 DOI: 10.1109/ICACRS55517.2022.10029270

T. V. Reddy, R. Anirudh Reddy, P. K. Reddy, Anisha Reddy

{"title":"Analysis of Coagulation Effect in Veins using MEMS Laminar Flow for Early Heart Stroke Detection","authors":"T. V. Reddy, R. Anirudh Reddy, P. K. Reddy, Anisha Reddy","doi":"10.1109/ICACRS55517.2022.10029270","DOIUrl":"https://doi.org/10.1109/ICACRS55517.2022.10029270","url":null,"abstract":"In the recent past researchers are working on different designs of biomedical equipment to measure various health parameters. People are more stressed due to their routine lives due to their work environments. Therefore, they suffered with health issue such as heart stroke and so on. This research article designated in the article is to design an electronic model to measure health parameters. Pressure and velocity across the veins are treated as inputs and their respective results as outputs. While veins are expanding and contrasting when pressure and velocity of the blood is varied, this is due to stress and exercise etc. The major parameters in detecting the laminar flow are pressure and velocity. The primary objective is to model a veins in different shapes. Second objective is to analysis of flow measurements pressure and velocity of blood cross it. The third objective is to detect blockages of artery due to fatty and cholesterol containing deposits build up over time. The final objective of the design is to describe the working principal of digital stethoscope and wrist band to measure the health parameter of heart through blood pressure. Digital Stethoscope principle depends on piezoelectric effect, generates electrical signal when pressure is applied from veins of the body. Accuracy, functionality, and Performance of the design can be analyzed using COMSOL Multiphysics. MEMS is used in real time applications to alert heart stroke, Bionic eye and automotive electronics etc.","PeriodicalId":407202,"journal":{"name":"2022 International Conference on Automation, Computing and Renewable Systems (ICACRS)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-12-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130605138","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

The Importance of Medical Robots in Improving Healthcare Services 医疗机器人在改善医疗服务中的重要性

2022 International Conference on Automation, Computing and Renewable Systems (ICACRS) Pub Date : 2022-12-13 DOI: 10.1109/ICACRS55517.2022.10029105

M. Alseddiqi, Budoor AlMannaei, Osama Najam, Anwar Al-Mofleh

引用次数: 0