2022 International Conference on Computing, Communication, and Intelligent Systems (ICCCIS)最新文献_第3页

Sarcasm Identification in text with deep learning models and Glove word embedding 基于深度学习模型和手套词嵌入的文本讽刺识别

2022 International Conference on Computing, Communication, and Intelligent Systems (ICCCIS) Pub Date : 2022-11-04 DOI: 10.1109/ICCCIS56430.2022.10037615

Ganesh Chandrasekaran, D. Hemanth, M. Saravanan

{"title":"Sarcasm Identification in text with deep learning models and Glove word embedding","authors":"Ganesh Chandrasekaran, D. Hemanth, M. Saravanan","doi":"10.1109/ICCCIS56430.2022.10037615","DOIUrl":"https://doi.org/10.1109/ICCCIS56430.2022.10037615","url":null,"abstract":"In social media, sarcasm is frequently found to convey a negative opinion employing positive or exaggerated positive terms. Sarcasm is necessary for and advantageous for many Natural Language Processing (NLP) algorithms. Unless explicitly constructed to compensate for it, sarcasm can readily fool sentiment analysis tools. Sarcasm abounds in viewer stuff, such as Facebook postings and Tweets. It’s quite difficult to spot sarcasm without a complete awareness of the event, the wider problem, and the context. Memory-based network models, notably Long Short Term Networks (LSTM), Bidirectional Long-Short Memory (Bi-LSTM), and Convolution Neural Network (CNN) algorithms, can identify sarcastic remarks in a corpus. We assess the efficacy of competing Deep Learning algorithms for text sarcasm identification using the SarcasmV2 corpus. Based on the results, we can infer that for sarcasm detection, the Bidirectional Long Short Term Memory Network (Bi-LSTM) model provides the best performance. The suggested approach involving deep networks is consistent towards many traditional approaches for sarcasm detection, and based on specific standard performance indicators, the current model outperforms these approaches.","PeriodicalId":286808,"journal":{"name":"2022 International Conference on Computing, Communication, and Intelligent Systems (ICCCIS)","volume":"10 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-11-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126141374","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

Exploring Multiple Deep learning Models for Skin Cancer Classification 探索多种深度学习模型用于皮肤癌分类

2022 International Conference on Computing, Communication, and Intelligent Systems (ICCCIS) Pub Date : 2022-11-04 DOI: 10.1109/ICCCIS56430.2022.10037675

Ajay Krishan Gairola, Vidit Kumar, A. Sahoo

{"title":"Exploring Multiple Deep learning Models for Skin Cancer Classification","authors":"Ajay Krishan Gairola, Vidit Kumar, A. Sahoo","doi":"10.1109/ICCCIS56430.2022.10037675","DOIUrl":"https://doi.org/10.1109/ICCCIS56430.2022.10037675","url":null,"abstract":"The most frequent health concern is skin cancer, which is caused by exposure to UV light. Identification of the disorder is made when the epidermal tissues develop abnormally and acquire a non-normal color. Melanoma is caused by overexposure to UV radiation. Melanoma is curable if caught early enough. If cancer is not caught early enough, it can spread to other parts of the body and become extremely difficult to cure. Traditional approaches for identifying melanoma include visual inspection and biopsy; however, the accuracy of these methods varies widely. Medical imaging researchers now face a major challenge in trying to tell the difference between benign and malignant melanoma. In this paper, we look into how well CNN’s models perform in diagnosing skin cancer. Here, we examine characteristics shared by numerous Convolutional Neural Network (CNN) models, including Alex-Net VGGNet16, VGGNet19, ResNet18, ResNet50, ResNetl01, DenseNet121, and DenseNet161. To run the experiment, we have chosen the ISIC-2016 dataset. The results show that Densenet161 performs best when used for a single CNN classification. In addition, the results demonstrate that the fusion of many CNN features improves accuracy even further.","PeriodicalId":286808,"journal":{"name":"2022 International Conference on Computing, Communication, and Intelligent Systems (ICCCIS)","volume":"23 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-11-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129419469","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: 2

MQTT equipped Intrusion detection system for IoT devices based Machine Learning Algorithms 基于机器学习算法的物联网设备入侵检测系统

2022 International Conference on Computing, Communication, and Intelligent Systems (ICCCIS) Pub Date : 2022-11-04 DOI: 10.1109/ICCCIS56430.2022.10037613

Priya P. Sharma, Sanjay Sharma, Diksha Dani

引用次数: 0

Federated Learning with Blockchain: A Study of the Latest Decentralized Couple 区块链联合学习:最新的去中心化夫妇研究

2022 International Conference on Computing, Communication, and Intelligent Systems (ICCCIS) Pub Date : 2022-11-04 DOI: 10.1109/ICCCIS56430.2022.10037647

Arman Rasool Faridi, Aiman Hafeez, Faraz Masood

引用次数: 0

Secured Authentication by Single Sign On (SSO): A Big Picture 通过单点登录(SSO)进行安全身份验证:大图

2022 International Conference on Computing, Communication, and Intelligent Systems (ICCCIS) Pub Date : 2022-11-04 DOI: 10.1109/ICCCIS56430.2022.10037708

N. Shaikh, K. Kasat, Smita Jadhav

{"title":"Secured Authentication by Single Sign On (SSO): A Big Picture","authors":"N. Shaikh, K. Kasat, Smita Jadhav","doi":"10.1109/ICCCIS56430.2022.10037708","DOIUrl":"https://doi.org/10.1109/ICCCIS56430.2022.10037708","url":null,"abstract":"Single Sign On (SSO) is a tool used for single login credentials to authorise the user to access all software or applications independent of each other, causing users to log in repeatedly. With the help of an administrator, it minimizes the security risk of managing the user. SSO allows users to access the various applications after one login. It does not mean that the Single Sign On system merges many different user account information for all the different services as well as the many applications and systems. SSO safely stores multiple user login information into a single account that, with the help of these credentials, users need to login. With the help of login credentials, the SSO system will generate authentication information that is accepted by the different applications and systems. In the present research article, many different types of technologies that operationalize SSO are collated. Various implementation types of SSO are explained. It also discusses the protocols used in SSO, SSO architecture, advantages of SSO, implementation of SSO in detail and challenges faced by SSO. An overall broader picture of SSO is discussed in this regard.","PeriodicalId":286808,"journal":{"name":"2022 International Conference on Computing, Communication, and Intelligent Systems (ICCCIS)","volume":"42 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-11-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122356961","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

Technical Ameliorations in Automatic License Plate Number Recognition System: A Survey 车牌号码自动识别系统的技术改进研究

2022 International Conference on Computing, Communication, and Intelligent Systems (ICCCIS) Pub Date : 2022-11-04 DOI: 10.1109/ICCCIS56430.2022.10037733

Merajul Aarfeen, Paranjot Singh, Huzaif Mushtaq, Keshav Gupta

{"title":"Technical Ameliorations in Automatic License Plate Number Recognition System: A Survey","authors":"Merajul Aarfeen, Paranjot Singh, Huzaif Mushtaq, Keshav Gupta","doi":"10.1109/ICCCIS56430.2022.10037733","DOIUrl":"https://doi.org/10.1109/ICCCIS56430.2022.10037733","url":null,"abstract":"With the increase in Urbanisation, there has been a Drastic Incremental Outlook in the field of Automobiles. Due to the escalated Population, Vehicular Involvement in Smart Cities is also on an extortionate ascent. To maintain Security and actuate Law & Order it becomes prominently important to integrate a Surveillance System for the same, to enable Increased Security with efficiency along with Less Human Intervention to diminish any Error. For catalyzing the above ideation, various methodologies have been incorporated, in order to prevent any anomaly, through Vehicular Reconnoitre. Inspection stands to be the most elucidated phenomenon for maintaining the fundamentals of the Smart System of Transportation. Diverse approaches have been inculcated for Vehicle Detection along with License Plate Number Detection to facilitate secure Transportation. In this paper, we’ve tried to understand the Technological Integrations into the domain of Smart Surveillance Systems for enabling Smart Transportation and thereby aiding to the Decorousness of the entire Automobile System.","PeriodicalId":286808,"journal":{"name":"2022 International Conference on Computing, Communication, and Intelligent Systems (ICCCIS)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-11-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130551421","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 Novel Technique for Locating Faults Using Fuzzy Logic in HVDC Lines 一种基于模糊逻辑的高压直流线路故障定位新技术

2022 International Conference on Computing, Communication, and Intelligent Systems (ICCCIS) Pub Date : 2022-11-04 DOI: 10.1109/ICCCIS56430.2022.10037750

A. Swetapadma, Tejashwi Shubham

引用次数: 0

Semantic Segmentation in Medical Image Based on Hybrid Dlinknet and Unet 基于Dlinknet和Unet的医学图像语义分割

2022 International Conference on Computing, Communication, and Intelligent Systems (ICCCIS) Pub Date : 2022-11-04 DOI: 10.1109/ICCCIS56430.2022.10037693

Suresh Samudrala, C. Mohan

{"title":"Semantic Segmentation in Medical Image Based on Hybrid Dlinknet and Unet","authors":"Suresh Samudrala, C. Mohan","doi":"10.1109/ICCCIS56430.2022.10037693","DOIUrl":"https://doi.org/10.1109/ICCCIS56430.2022.10037693","url":null,"abstract":"Medical imagery segmentation has been widely using deep learning approaches, which are quickly evolving in semantic segmentation. Nevertheless, due to their poor performance, newly proposed methods like Fully Convolutional Network, U-Net, LinkNet and SegNet still require enhancement to offer better semantic segmentation while identifying breast cancer. Therefore, this article presents a hybrid encoder and decoder framework in histology images of tissue slides. The novel network is designed with DlinkNet and UNet with a fusion of medical imagery data. An Attention Gate Module (AGM) is inserted into the proposed network to enrich the network learning’s capacity. This way, semantic features are extracted and semantically segmented in the tumors in the input image set. The effectiveness of the planned network is investigated concerning various parameters like Maximum Symmetric Surface Distance (MSSD 35.98), Accuracy (99.2%), Relative Absolute Volume Difference (RAVD 3.41), Jaccard index (0.83), Average Symmetric Surface Distance (ASSD 0.629), Sensitivity (91%) and Dice Coefficient (DICE) (0.928) with existing networks of FPN and SENet.","PeriodicalId":286808,"journal":{"name":"2022 International Conference on Computing, Communication, and Intelligent Systems (ICCCIS)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-11-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121403899","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

Beam Hopping Technique For Indian Data Traffic 印度数据通信的波束跳变技术

2022 International Conference on Computing, Communication, and Intelligent Systems (ICCCIS) Pub Date : 2022-11-04 DOI: 10.1109/ICCCIS56430.2022.10037616

Pasala Bharath Kumar Reddy, G. P. Reddy, Farhana Tabassum, Yogesh Kumar Bhawsar, Imteyaz Ahmad, J. Khoral

{"title":"Beam Hopping Technique For Indian Data Traffic","authors":"Pasala Bharath Kumar Reddy, G. P. Reddy, Farhana Tabassum, Yogesh Kumar Bhawsar, Imteyaz Ahmad, J. Khoral","doi":"10.1109/ICCCIS56430.2022.10037616","DOIUrl":"https://doi.org/10.1109/ICCCIS56430.2022.10037616","url":null,"abstract":"Current trend in space technology involves satellites that can provide variable Effective Isotropic Radiated Power (EIRP), variable bandwidth and flexible coverage area. With an inclination towards mass optimisation and to fully utilise the available resources on board by reusing them efficiently, a technique called beam hopping with spot beam technology has gained traction. In this paper, the feasibility of a beam hopping satellite for India along with its merits and demerits over conventional High Throughput Satellite (HTS) are discussed. Maximum advantage of beam hopping is obtained if the beams are hopped as per real time user demand which requires constant co-ordination between the satellite, ground station & the user. This requires dynamic resource allocation, thereby increasing the ground complexity manifold. In this paper, rather than dynamic hopping, probable data rate demand in various parts of India is analysed, a suitable probability distribution for the demand rate is identified and a beam hopping scheme is proposed to obtain near optimal throughput. Further, a comparative analysis of Beam Hopping HTS (BH HTS) is carried out with standard HTS to establish the effectiveness of beam hopping.","PeriodicalId":286808,"journal":{"name":"2022 International Conference on Computing, Communication, and Intelligent Systems (ICCCIS)","volume":"108 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-11-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123793478","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

Suicidal Intention Detection in Tweets Using BERT-Based Transformers 基于bert变换的推文自杀意图检测

2022 International Conference on Computing, Communication, and Intelligent Systems (ICCCIS) Pub Date : 2022-11-04 DOI: 10.1109/ICCCIS56430.2022.10037677

G. Ananthakrishnan, Ashok Kumar Jayaraman, T. Trueman, Satanik Mitra, A. K, Abirami Murugappan

引用次数: 0