Innovations in Information and Communication Technology Series最新文献_第5页

CNN and MLSTM based Sentiment Analysis 基于CNN和MLSTM的情感分析

Innovations in Information and Communication Technology Series Pub Date : 2020-12-30 DOI: 10.46532/978-81-950008-1-4_010

Venkatesh T, Mathavan N, Kothanda Thilipan V M, Murugan K

{"title":"CNN and MLSTM based Sentiment Analysis","authors":"Venkatesh T, Mathavan N, Kothanda Thilipan V M, Murugan K","doi":"10.46532/978-81-950008-1-4_010","DOIUrl":"https://doi.org/10.46532/978-81-950008-1-4_010","url":null,"abstract":"Dynamic of forthcoming purchasers are helped by item audits. For this, proposed different sentiment mining procedures. In this significant trouble lies in making a decision about direction of survey sentence. Issues of assumption order can be illuminated by utilizing a profound learning technique. In Mining of online client produced content, assumption investigation is a significant trouble. Audits of client are amassed in this work. It is obstinate substance's significant structure. Significant human endeavors are associated with conventional feeling arrangement strategies. Highlight designing and vocabulary development are its instances. Issues of estimation arrangement can be settled by utilizing a profound learning strategy. Without human endeavors, helpful portrayals can be adapted consequently by neural organization inherently. Accessibility of enormous scope preparing information characterizes the profound learning strategy's prosperity. For audit notion arrangement, novel profound learning structure is proposed in this work. Commonly accessible appraisals are utilized as frail management signal. There are two stages in this system. They are, elevated level portrayal getting the hang of, adding of grouping layer on top of inserting layer. For directed tweaking, marked sentences are utilized. Through rating data, sentences general supposition dissemination is caught utilizing this elevated level portrayal. Proficiency and predominance of proposed strategy is prepared by the experimentation done utilizing an Amazon's survey information.","PeriodicalId":191913,"journal":{"name":"Innovations in Information and Communication Technology Series","volume":"28 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-12-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114461208","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

A Survey on Machine Learning Algorithms for Vision State Classification and Prediction Through Electroencephalogram (EEG) Signal 基于脑电图(EEG)信号的视觉状态分类与预测的机器学习算法综述

Innovations in Information and Communication Technology Series Pub Date : 2020-12-30 DOI: 10.46532/978-81-950008-1-4_093

Devipriya A, Brindha D, K. A

{"title":"A Survey on Machine Learning Algorithms for Vision State Classification and Prediction Through Electroencephalogram (EEG) Signal","authors":"Devipriya A, Brindha D, K. A","doi":"10.46532/978-81-950008-1-4_093","DOIUrl":"https://doi.org/10.46532/978-81-950008-1-4_093","url":null,"abstract":"Eye state ID is a sort of basic time-arrangement grouping issue in which it is additionally a problem area in the late exploration. Electroencephalography (EEG) is broadly utilized in a vision state in order to recognize people perception form. Past examination was approved possibility of AI & measurable methodologies of EEG vision state arrangement. This research means to propose novel methodology for EEG vision state distinguishing proof utilizing Gradual Characteristic Learning (GCL) in light of neural organizations. GCL is a novel AI methodology which bit by bit imports and prepares includes individually. Past examinations have confirmed that such a methodology is appropriate for settling various example acknowledgment issues. Nonetheless, in these past works, little examination on GCL zeroed in its application to temporal-arrangement issues. Thusly, it is as yet unclear if GCL will be utilized for adapting the temporal-arrangement issues like EEG vision state characterization. Trial brings about this examination shows that, with appropriate element extraction and highlight requesting, GCL cannot just productively adapt to time-arrangement order issues, yet additionally display better grouping execution as far as characterization mistake rates in correlation with ordinary and some different methodologies. Vision state classification is performed and discussed with KNN classification and accuracy is enriched finally discussed the vision state classification with ensemble machine learning model.","PeriodicalId":191913,"journal":{"name":"Innovations in Information and Communication Technology Series","volume":"63 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-12-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130479440","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

Design and Analysis of STATCOM for Reactive Power Compensation using Three Phase Multilevel Inverter 三相多电平逆变器无功补偿STATCOM的设计与分析

Innovations in Information and Communication Technology Series Pub Date : 2020-12-30 DOI: 10.46532/978-81-950008-1-4_004

P. K, S. R, Jain Vinith P R, M. S, R. S., Supriya V

引用次数: 1

Smart Reader for Visually Challenged Using Optical Character Recognition and Text-To-Speech 使用光学字符识别和文本到语音的视觉障碍智能阅读器

Innovations in Information and Communication Technology Series Pub Date : 2020-12-30 DOI: 10.46532/978-81-950008-1-4_045

R. Sowmya, Sushma S. Jagtap, G. Kasthuri

引用次数: 0

An Effective Pulse Width Modulation Technique Analysis for CHB Multilevel Inverters 一种有效的CHB多电平逆变器脉宽调制技术分析

Innovations in Information and Communication Technology Series Pub Date : 2020-12-30 DOI: 10.46532/978-81-950008-1-4_028

Vivekanandan S, Vignesh C J, Kamalkumar V, B. K

引用次数: 1

Online Terrorism Detection Using Webdata Mining 基于Webdata挖掘的在线恐怖主义检测

Innovations in Information and Communication Technology Series Pub Date : 2020-12-30 DOI: 10.46532/978-81-950008-1-4_013

Aswathy Rh, K RoslinDayana, M VigilsonPrem

{"title":"Online Terrorism Detection Using Webdata Mining","authors":"Aswathy Rh, K RoslinDayana, M VigilsonPrem","doi":"10.46532/978-81-950008-1-4_013","DOIUrl":"https://doi.org/10.46532/978-81-950008-1-4_013","url":null,"abstract":"Technology growth in facebook, whatsapp, instagram has become famous and widely used in diverse social media groups. The intention of facebook is to make the universe widely open and to stay connected. The recent mission of facebook is to stay connected with friends, colleagues, family through sharing photos, videos, stories etc. to show the daily events in the world, which provides the mean to share and express the feelings on what matters to them. Cross platform Instant messaging applications like Telegram and WhatsApp Messenger that smart phone users to establish a ubiquitous technology to exchange text, image, video and audio messages for free. This flexible technology explores more opportunities for risk and benefit for the modern era. Terrorism has increased in certain fragile parts of the world and they attack remotely. New technologies like Artificial intelligence, Machine learning autonomous and semi-autonomous systems are used by terrorist group to attack the network. These groups use social media weapons like facebook, whatsapp, Instagram to spread their information on the social network. It is essential to detect, pre-empt, prevent and eliminate the terrorism through technological spear. Terrorist groups are utilizing the internet as a platform together and convince the sin less people to take part in terrorist activities by infuriating them through web pages that inspired is enchanted individuals to take part in terrorist activities. The detection of terrorist activities needs enormous human effort. To reduce the human effort, our implement system detects the terrorist groups in social media using data mining algorithm. The intention of this work is to is to reduce the terrorism spread and to remove the terrorism related accounts effortlessly.","PeriodicalId":191913,"journal":{"name":"Innovations in Information and Communication Technology Series","volume":"57 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-12-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126682492","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

Renewable Energy Based System Using IoT 基于可再生能源的物联网系统

Innovations in Information and Communication Technology Series Pub Date : 2020-12-30 DOI: 10.46532/978-81-950008-1-4_060

C. Visvesvaran, K. Siddharthraju, M. Durgashree., J. Janani, G. Indhumathi, Kaavya Js

引用次数: 0