2022 International Conference on Sustainable Computing and Data Communication Systems (ICSCDS)最新文献_第6页

An Optimized Object Detection System using You Only Look Once Algorithm and Compare with Deep Neural Networks with increased 一种基于“只看一次”算法的优化目标检测系统，并与深度神经网络进行比较

2022 International Conference on Sustainable Computing and Data Communication Systems (ICSCDS) Pub Date : 2022-04-07 DOI: 10.1109/ICSCDS53736.2022.9760988

Arun Kumar Reddy Padala, P. Malathi

引用次数: 1

Oryza Sativa Leaf Disease Detection using Transfer Learning 利用迁移学习技术检测水稻叶片病害

2022 International Conference on Sustainable Computing and Data Communication Systems (ICSCDS) Pub Date : 2022-04-07 DOI: 10.1109/ICSCDS53736.2022.9760972

A. Musthafa, M. Ambika, Abinaya Kn, Dharshini M, I. M, P. R.

{"title":"Oryza Sativa Leaf Disease Detection using Transfer Learning","authors":"A. Musthafa, M. Ambika, Abinaya Kn, Dharshini M, I. M, P. R.","doi":"10.1109/ICSCDS53736.2022.9760972","DOIUrl":"https://doi.org/10.1109/ICSCDS53736.2022.9760972","url":null,"abstract":"Oryza sativa (Rice) is the world's most significant cereal harvest. It is taken as a staple feast for energy by the greater part of the total populace. Abiotic and biotic components like precipitation, soil richness, temperature, bugs, microscopic organisms, infections, etc. impact the yield creation amount and nature of rice grain. Ranchers contribute a great deal of time and energy to infection prevention, and they recognize sicknesses with their devastated unaided eye technique, which prompts unfortunate cultivating. The advancement of horticultural innovation helps significantly supports the computerized location of pathogenic living beings in the leaves of rice plants. The convolutional-based neural network calculation (CNN) is the one of very profound calculations that has been effectively used to settle PC vision issues like picture grouping, object division, picture investigation, etc. The proposed model boundaries have been tuned for the order work, and it has a great exactness of 95.67 percent. Using the transfer learning the data are trained faster andit can learn and apply the learned things in the next dataset faster. So that it does not acquire time in learning, which is not in the existing process.","PeriodicalId":433549,"journal":{"name":"2022 International Conference on Sustainable Computing and Data Communication Systems (ICSCDS)","volume":"1 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":"130604509","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

Fake Reviews Detection using Support Vector Machine 基于支持向量机的虚假评论检测

2022 International Conference on Sustainable Computing and Data Communication Systems (ICSCDS) Pub Date : 2022-04-07 DOI: 10.1109/ICSCDS53736.2022.9760747

R. Poonguzhali, S. F. Sowmiya, P. Surendar, M. Vasikaran

{"title":"Fake Reviews Detection using Support Vector Machine","authors":"R. Poonguzhali, S. F. Sowmiya, P. Surendar, M. Vasikaran","doi":"10.1109/ICSCDS53736.2022.9760747","DOIUrl":"https://doi.org/10.1109/ICSCDS53736.2022.9760747","url":null,"abstract":"One of the fastest expanding business categories in the world today is internet shopping. People nowadays buy a lot of things from internet shopping sites. Customers can buy a better quality products based on the reviews given by previous buyers of the products. Reviews includes text reviews, ratings and smileys. On a product review there are hundreds of reviews in which some of the reviews would be fake reviews. Opinion mining from natural languages is a difficult method for evaluating customers' sentiments, but sentiment analysis provides the best answer. It provides crucial data for decision-making in a variety of fields. So, we propose a fake reviews detection system using support vector machine which detect the fake reviews of the products. The primary goal is to suggest higher-quality products to the user. We use the support vector machine algorithm to classify the reviews into positive and negative groups. Finally fake reviews are predicted which are posted by the users. The reviews are grouped as negative, positive and neutral. In this system, only purchased users can post the reviews and duplicates are verified based on user id and booking id. Genuine reviews are considered for product recommendation","PeriodicalId":433549,"journal":{"name":"2022 International Conference on Sustainable Computing and Data Communication Systems (ICSCDS)","volume":"37 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":"130612351","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: 3

On Analysis of Face Liveness Detection Mechanisms via Deep Learning Models 基于深度学习模型的人脸动态检测机制分析

2022 International Conference on Sustainable Computing and Data Communication Systems (ICSCDS) Pub Date : 2022-04-07 DOI: 10.1109/ICSCDS53736.2022.9760922

Syed Zoofa Rufai, A. Selwal, Deepika Sharma

{"title":"On Analysis of Face Liveness Detection Mechanisms via Deep Learning Models","authors":"Syed Zoofa Rufai, A. Selwal, Deepika Sharma","doi":"10.1109/ICSCDS53736.2022.9760922","DOIUrl":"https://doi.org/10.1109/ICSCDS53736.2022.9760922","url":null,"abstract":"In recent times, susceptibility of face recognition system to spoofing attacks has received a significant attention from research community. These attacks simply involve presenting an artifact (i.e., video replay, print photo or fabricated mask)to the sensor component and have shown to be capable of deceiving face recognition (FR) systems. The design of an anti-deception method that is termed as face spoof detector is a challenging task that aims to reveal a fake user seeking to mislead the verification system. In this study, we present an analysis of state-of-the-art face spoofing attack discernment techniques along with a taxonomy. A focused survey of face anti-spoofing via deep learning-based methods with special emphasis on latest trends in deep learning techniques is expounded. Additionally, a comparative summary of benchmark face-anti-spoofing datasets employed for various data-driven models is also illustrated. We offer a brief overview of various evaluation protocols for measuring the effectiveness of FASDD approaches. The presented study investigates several key challenges that are open to researchers for further progression in this active field of FLD. Our analysis clearly advocates that among all, accuracy of FLD algorithms in cross-material scenario is still a challenging task. The training overhead of deep convolutional neural networks (CNN) deployed as anti-spoofing detectors demonstrates comparatively better accuracy with an additional training overhead.","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":"130628888","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

Interactive Audio Indexing and Speech Recognition based Navigation Assist Tool for Tutoring Videos 交互式音频索引和语音识别为基础的导航辅助工具辅导视频

2022 International Conference on Sustainable Computing and Data Communication Systems (ICSCDS) Pub Date : 2022-04-07 DOI: 10.1109/ICSCDS53736.2022.9760784

Gareshma N, V. P, P. S

{"title":"Interactive Audio Indexing and Speech Recognition based Navigation Assist Tool for Tutoring Videos","authors":"Gareshma N, V. P, P. S","doi":"10.1109/ICSCDS53736.2022.9760784","DOIUrl":"https://doi.org/10.1109/ICSCDS53736.2022.9760784","url":null,"abstract":"The volume of worldwide multimedia data increases daily, especially the growth and usage is enormus during the pandemic period. Content-based audio retrieval increases the sophistication in the usage of multimedia content. While listening to the multimedia, the user navigates to the desired location, either manually or with subtitles. Both these methods are time-consuming and not user friendly. To address this issue, we have developed a speech-based searchable system that transcribes the video material to text and allows the user to navigate to the desired content. The user may listen to video lectures and guides to the topic of interest with the voice command. The system analyses the acoustic signature of the input voice command and matches it against the video. The proposed system maintains the index table, which maps the transcription of the content with the instance of the occurrence. The interactive play control retrieves the instance of the keyword and plays the multimedia content from that instant. The combination of effective transcription, storage and retrieval complements the system and improves the ease of access.","PeriodicalId":433549,"journal":{"name":"2022 International Conference on Sustainable Computing and Data Communication Systems (ICSCDS)","volume":"44 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":"132076003","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 Efficient ResNet-50 based Intelligent Deep Learning Model to Predict Pneumonia from Medical Images 基于ResNet-50的高效智能深度学习模型从医学图像中预测肺炎

2022 International Conference on Sustainable Computing and Data Communication Systems (ICSCDS) Pub Date : 2022-04-07 DOI: 10.1109/ICSCDS53736.2022.9760995

Mohit Chhabra, Rajneesh Kumar

引用次数: 4

Challenges for Hate Speech Recognition System: Approach based on Solution 仇恨语音识别系统的挑战:基于解的方法

2022 International Conference on Sustainable Computing and Data Communication Systems (ICSCDS) Pub Date : 2022-04-07 DOI: 10.1109/ICSCDS53736.2022.9760739

A. Pawar, Pranav Gawali, Mangesh Gite, M. A. Jawale, P. William

引用次数: 20

Construction of Application Scenarios of Computer Network and 6G Network in Electronic Information Engineering 计算机网络与6G网络在电子信息工程中的应用场景构建

2022 International Conference on Sustainable Computing and Data Communication Systems (ICSCDS) Pub Date : 2022-04-07 DOI: 10.1109/ICSCDS53736.2022.9761020

Zeming Xiong

引用次数: 0

Secured Energy Proficient and Clustering Methodology for Wireless Sensor Networks 无线传感器网络的安全能量精通和聚类方法

2022 International Conference on Sustainable Computing and Data Communication Systems (ICSCDS) Pub Date : 2022-04-07 DOI: 10.1109/ICSCDS53736.2022.9760941

Y. H. Robinson, R. Krishnan, K. Narayanan, A. Sangeetha, I. Sakthidevi, J. Raj

引用次数: 2

Research on Network Intelligent Finance Data Mining and Analysis System and Quantitative Model 网络智能金融数据挖掘分析系统及定量模型研究

2022 International Conference on Sustainable Computing and Data Communication Systems (ICSCDS) Pub Date : 2022-04-07 DOI: 10.1109/ICSCDS53736.2022.9760740

Yaling Chen, Zhengdong Hu

引用次数: 0