IJARCCE最新文献

筛选
英文 中文
Real-Time Stress Detection and Analysisusing Facial Emotion Recognition 利用面部情绪识别进行实时压力检测和分析
IJARCCE Pub Date : 2024-03-20 DOI: 10.17148/ijarcce.2024.13324
H. Chandika, Bulla Soumya, Baireddy Naveen Eswar Reddy, Boda Mohana Sri SaiManideep
{"title":"Real-Time Stress Detection and Analysisusing Facial Emotion Recognition","authors":"H. Chandika, Bulla Soumya, Baireddy Naveen Eswar Reddy, Boda Mohana Sri SaiManideep","doi":"10.17148/ijarcce.2024.13324","DOIUrl":"https://doi.org/10.17148/ijarcce.2024.13324","url":null,"abstract":"","PeriodicalId":513159,"journal":{"name":"IJARCCE","volume":"9 17","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-03-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140226300","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
Unveiling Personality Traits through Social Media Language Analysis: A Novel Approach using Language Models 通过社交媒体语言分析揭示个性特征:使用语言模型的新方法
IJARCCE Pub Date : 2024-03-20 DOI: 10.17148/ijarcce.2024.13326
P.R. Krishna Prasad, Naga Sai Ajay Kumar Abburi, Pavan Sai Ganesh Cherukuri, Dheeraj Kumar Bhattu, Jaswanth Gadde
{"title":"Unveiling Personality Traits through Social Media Language Analysis: A Novel Approach using Language Models","authors":"P.R. Krishna Prasad, Naga Sai Ajay Kumar Abburi, Pavan Sai Ganesh Cherukuri, Dheeraj Kumar Bhattu, Jaswanth Gadde","doi":"10.17148/ijarcce.2024.13326","DOIUrl":"https://doi.org/10.17148/ijarcce.2024.13326","url":null,"abstract":"","PeriodicalId":513159,"journal":{"name":"IJARCCE","volume":"23 33","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-03-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140226244","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
An Approach for Cyberbullying Detection on Social Media 社交媒体上的网络欺凌检测方法
IJARCCE Pub Date : 2024-02-20 DOI: 10.17148/ijarcce.2024.13319
Mr. M. Kishore Babu, K. Jayasri, K. Saran, K. Adithya, K. Harsha
{"title":"An Approach for Cyberbullying Detection on Social Media","authors":"Mr. M. Kishore Babu, K. Jayasri, K. Saran, K. Adithya, K. Harsha","doi":"10.17148/ijarcce.2024.13319","DOIUrl":"https://doi.org/10.17148/ijarcce.2024.13319","url":null,"abstract":"","PeriodicalId":513159,"journal":{"name":"IJARCCE","volume":"58 15","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-02-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140445352","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
Synchronization Techniques in Real-Time Operating Systems: Implementation and Evaluation on Arduino with FreeRTOS 实时操作系统中的同步技术:使用 FreeRTOS 在 Arduino 上的实现与评估
IJARCCE Pub Date : 2024-02-20 DOI: 10.17148/ijarcce.2024.13246
Sakthivel V, S. P
{"title":"Synchronization Techniques in Real-Time Operating Systems: Implementation and Evaluation on Arduino with FreeRTOS","authors":"Sakthivel V, S. P","doi":"10.17148/ijarcce.2024.13246","DOIUrl":"https://doi.org/10.17148/ijarcce.2024.13246","url":null,"abstract":"","PeriodicalId":513159,"journal":{"name":"IJARCCE","volume":"1131 ","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-02-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140445727","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
Game Development Using Unity Game Engine for Developing Critical Thinking Skills 使用 Unity 游戏引擎开发游戏,培养批判性思维能力
IJARCCE Pub Date : 2024-02-20 DOI: 10.17148/ijarcce.2024.13236
Arya Barsode, Soham Metha, Nilesh Shendkar, Rudra Jadhav, Mrs. Ashwini Patil
{"title":"Game Development Using Unity Game Engine for Developing Critical Thinking Skills","authors":"Arya Barsode, Soham Metha, Nilesh Shendkar, Rudra Jadhav, Mrs. Ashwini Patil","doi":"10.17148/ijarcce.2024.13236","DOIUrl":"https://doi.org/10.17148/ijarcce.2024.13236","url":null,"abstract":"","PeriodicalId":513159,"journal":{"name":"IJARCCE","volume":"220 ","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-02-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140448410","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
Empowering Efficiency: Harnessing Cloud Technology in Shared Services for Next-Gen Financial Excellence 提高效率:在共享服务中利用云技术实现新一代卓越财务管理
IJARCCE Pub Date : 2024-02-20 DOI: 10.17148/ijarcce.2022.11925
Jayesh Jhurani
{"title":"Empowering Efficiency: Harnessing Cloud Technology in Shared Services for Next-Gen Financial Excellence","authors":"Jayesh Jhurani","doi":"10.17148/ijarcce.2022.11925","DOIUrl":"https://doi.org/10.17148/ijarcce.2022.11925","url":null,"abstract":"","PeriodicalId":513159,"journal":{"name":"IJARCCE","volume":"44 40","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-02-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140448778","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 IMPACT OF ARTIFICIAL INTELLIGENCE ON BUSINESS LEADERSHIP AND STRATEGY 人工智能对企业领导力和战略的影响
IJARCCE Pub Date : 2024-02-20 DOI: 10.17148/ijarcce.2022.111015
Saurabh Suman Choudhuri
{"title":"THE IMPACT OF ARTIFICIAL INTELLIGENCE ON BUSINESS LEADERSHIP AND STRATEGY","authors":"Saurabh Suman Choudhuri","doi":"10.17148/ijarcce.2022.111015","DOIUrl":"https://doi.org/10.17148/ijarcce.2022.111015","url":null,"abstract":"","PeriodicalId":513159,"journal":{"name":"IJARCCE","volume":"411 ","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-02-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140447102","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
Diabetic Retinopathy Detection using Deep Learning Techniques 利用深度学习技术检测糖尿病视网膜病变
IJARCCE Pub Date : 2024-02-20 DOI: 10.17148/ijarcce.2024.13252
Dr.V. Ramachandran, Akhila Patchala, Lakshmi Sowjanya Potla, Phinehas Prakash Jupudi, Rohith Sai Obilisetty
{"title":"Diabetic Retinopathy Detection using Deep Learning Techniques","authors":"Dr.V. Ramachandran, Akhila Patchala, Lakshmi Sowjanya Potla, Phinehas Prakash Jupudi, Rohith Sai Obilisetty","doi":"10.17148/ijarcce.2024.13252","DOIUrl":"https://doi.org/10.17148/ijarcce.2024.13252","url":null,"abstract":"Diabetic retinopathy is referred as diabetic eye disease. It causes damage to the retina of the light sensitive tissues at the rear portion of the eye. It mainly affects the working age population in the developing country. Right now, recognizing DR is a tedious and manual interaction that requires a prepared clinician to analyze and assess advanced shading fundus photos of the retina. The rate of diabetes is more in local populations and the detection of diabetic retinopathy is needed but there is a shortage of equipment because there are expensive. With persistent advancement of deep learning models we hope to increase the accuracy of the technique and extend it to glaucoma diagnostics. In Early days convolutional neural network were used it takes more time and gives the low accuracy rate. In this paper Regional convolutional neural network and resnet were used to increase the accuracy rate and reduce the time consumption. Convolutional neural network takes image as an input and process it in different ways and assigns important to that images and produces the output by the images. In convolutional neural network there are many layers mainly input layer, hidden layer and output layer. If this technique is implemented. Diabetic retinopathy can be detected at the early stage and we can reduce the number of blindness and increase the accuracy rate and time consumption. Keyword Diabetic retinopathy, Fundus photography, Deep learning and Data set I.INTRODUCTION Diabetic retinopathy (DR) is a common complication of diabetes associated with ret inal vascular damage caused by long standing diabetes. Furthermore, the diagnosis of DR mostly depends on the observation and evaluation to fundus photographs of which procedure can be time consuming even for experienced experts. Therefore computer aided automated diagnosis approaches have great potential in clinical to accurately detect DR in a short time which can further help to improve the screening rate of DR and reduce the number of blindness. For a deep learning model, the most important parts that should be focused on are data set, network architecture and training method. Before being used to train our model, fundus images data set obtained from public resources is pre processed and augmented. The model accepts two fundus images corresponding to the left eye and right eye as inputs and then transmits them into the Siamese like blocks. The information from two eyes is gathered into the fully connected layer and finally the model will output the diagnosis result of each eye respectively.","PeriodicalId":513159,"journal":{"name":"IJARCCE","volume":"74 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-02-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140448345","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
Predicting Air Quality by Particulate Matter Based on Neural Networks 基于神经网络的微粒物质空气质量预测
IJARCCE Pub Date : 2024-02-20 DOI: 10.17148/ijarcce.2024.13223
Dr. S Rajesh, P. B. Ahamed, M. Deepakkumar, T. Subramanian, G. R. Karna
{"title":"Predicting Air Quality by Particulate Matter Based on Neural Networks","authors":"Dr. S Rajesh, P. B. Ahamed, M. Deepakkumar, T. Subramanian, G. R. Karna","doi":"10.17148/ijarcce.2024.13223","DOIUrl":"https://doi.org/10.17148/ijarcce.2024.13223","url":null,"abstract":"","PeriodicalId":513159,"journal":{"name":"IJARCCE","volume":"39 3","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-02-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140449447","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
Enhancing Debugging Efficacy in U.S. Tech Enterprises: An Empirical Study of Smart Locker Integration and its Impact on Bug Resolution Volumes 提高美国科技企业的调试效率:智能锁集成及其对错误解决量影响的实证研究
IJARCCE Pub Date : 2024-02-20 DOI: 10.17148/ijarcce.2024.13226
Punit Dewani, Efrain Rodriguez
{"title":"Enhancing Debugging Efficacy in U.S. Tech Enterprises: An Empirical Study of Smart Locker Integration and its Impact on Bug Resolution Volumes","authors":"Punit Dewani, Efrain Rodriguez","doi":"10.17148/ijarcce.2024.13226","DOIUrl":"https://doi.org/10.17148/ijarcce.2024.13226","url":null,"abstract":"","PeriodicalId":513159,"journal":{"name":"IJARCCE","volume":"59 12","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-02-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140445551","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
0
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
确定
请完成安全验证×
相关产品
×
本文献相关产品
联系我们:info@booksci.cn Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。 Copyright © 2023 布克学术 All rights reserved.
京ICP备2023020795号-1
ghs 京公网安备 11010802042870号
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术官方微信