2022 2nd International Conference on Intelligent Technologies (CONIT)最新文献_第8页

Automatic Cephalometric Analysis using Machine Learning 使用机器学习的自动头测分析

2022 2nd International Conference on Intelligent Technologies (CONIT) Pub Date : 2022-06-24 DOI: 10.1109/CONIT55038.2022.9848060

M. Sobhana, Krishna Rohith Vemulapalli, Lahari Appala, Neelima Narra

{"title":"Automatic Cephalometric Analysis using Machine Learning","authors":"M. Sobhana, Krishna Rohith Vemulapalli, Lahari Appala, Neelima Narra","doi":"10.1109/CONIT55038.2022.9848060","DOIUrl":"https://doi.org/10.1109/CONIT55038.2022.9848060","url":null,"abstract":"Orthodontics is a specialized dental profession that specializes in diagnosing, preventing, and correcting teeth and jawbone, as well as biting patterns. The irregular shape of the teeth and jaws is very common. About 50% of the population of the developed world, according to the American Association of Orthodontics, has malocclusions heavy enough to benefit from orthopedic treatment. Cephalometries is often used by dentists as a tool for diagnosis and treatment planning and evaluation. Cephalometries aids in orthodontic diagnostics by empowering the study of skeletal structures, teeth, and soft tissues of the craniofacial region. Cephalometric analysis has many applications, including diagnostics, the definition of face measurement patterns, planning of orthodontic and orthognathic treatments, monitoring changes due to ageing or treatment and prediction of orthodontic and orthognathic treatment outcomes. Machine-based software is the only solution to reduce the dentist's work of planning and evaluation. Although some software are available for cephalometric analysis but, they are expensive and not easy to use as it requires heavy hardware-based tools such as laser guns and cephalostats. The proposed model uses a decision tree to develop a diagnostic program based on the data of previous patients assigned to it. This model is implemented using python language libraries such as Tkinter, Opencv, Sklearn, PIL and Pandas.","PeriodicalId":270445,"journal":{"name":"2022 2nd International Conference on Intelligent Technologies (CONIT)","volume":"12 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-06-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115586764","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

Prediction of Bipolar Disorder Using Machine Learning Techniques 使用机器学习技术预测双相情感障碍

2022 2nd International Conference on Intelligent Technologies (CONIT) Pub Date : 2022-06-24 DOI: 10.1109/CONIT55038.2022.9848137

Disha D N, S. S., Sharada U. Shenoy, Sudesh Rao

引用次数: 0

Analysis of Pitta Imbalance in young Indian adult using Machine Learning Algorithm 用机器学习算法分析印度年轻人皮塔失衡

2022 2nd International Conference on Intelligent Technologies (CONIT) Pub Date : 2022-06-24 DOI: 10.1109/CONIT55038.2022.9847813

M. Chinnaiah, Sanjay Dubey, N. Janardhan, V. Pathi, Nandan K, Anusha M

引用次数: 0

Web Extension for Lexical Simplification of Text 文本的词法简化的Web扩展

2022 2nd International Conference on Intelligent Technologies (CONIT) Pub Date : 2022-06-24 DOI: 10.1109/CONIT55038.2022.9847720

Karan Bhat, Vaibhavi Ghumare, Siddhesh Khadake, H. Gadade

{"title":"Web Extension for Lexical Simplification of Text","authors":"Karan Bhat, Vaibhavi Ghumare, Siddhesh Khadake, H. Gadade","doi":"10.1109/CONIT55038.2022.9847720","DOIUrl":"https://doi.org/10.1109/CONIT55038.2022.9847720","url":null,"abstract":"Lexical simplification means the process of providing alternatives to the complex words in the sentence with texts that are much more simpler to understand, while also preserving the context and grammar of the original text to make the whole sentence more easier to understand. All of the recent work involving lexical simplification relies on unsupervised tasks to learn simpler alternatives of complex words. But the drawback of most of these researches has been the fact that they provide simpler words without taking the context of the complex word in the sentence in account. In this paper, we are proposing a lexical simplifier which is based on contextual learnings from the sentence. We have applied the pre-trained representation model, BERT. It is a very powerful tool which can make use of the wider context of the sentence in both forward and backward direction. We have also taken the word frequency indicator from the Subtlex list, to produce results that will be more correct both semantically and grammatically. We have also added a web extension for the simplification of the text on the webpage, which takes the input from the user, processes the text on the server end, and gives the result in return after computation is over.","PeriodicalId":270445,"journal":{"name":"2022 2nd International Conference on Intelligent Technologies (CONIT)","volume":"3 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-06-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124524666","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 Intelligent Decision Support System for Bid Prediction of Undervalued Football Players 低估球员报价预测的智能决策支持系统

2022 2nd International Conference on Intelligent Technologies (CONIT) Pub Date : 2022-06-24 DOI: 10.1109/CONIT55038.2022.9847972

Manaswita Datta, Bhawana Rudra

{"title":"An Intelligent Decision Support System for Bid Prediction of Undervalued Football Players","authors":"Manaswita Datta, Bhawana Rudra","doi":"10.1109/CONIT55038.2022.9847972","DOIUrl":"https://doi.org/10.1109/CONIT55038.2022.9847972","url":null,"abstract":"The process of selecting football team players will determines a team's performance. An effective team is made up of a successful group of individual talented players. In general, a football team player selection is a decision made by the club based on the best available information. Club managers and scouts travel to different countries to watch matches and hire the best talent that can help their club to perform better. But for the lower leagues, it becomes difficult to hire the same talents because of strict budget. Here we devise a method so that we can leverage the undervalued players to get selected by the clubs. Clearly the benefit will be in two fold. First, the smaller clubs can get better players at an affordable cost. Second, the bigger clubs can get same performance players at a lower price helping them in cost cutting. We employ novelty detection methods to find out the undervalued players from our data and investigate our method by using five machine learning models. For performance evaluation, the five machine learning models used are support vector machine, Random Forest, Decision Tree, Linear Regression and XGBoost. Here XGboost performed best both for 10 fold cross-validation and external testing with a RMSE of 0.0122 and 0.0107 respectively.","PeriodicalId":270445,"journal":{"name":"2022 2nd International Conference on Intelligent Technologies (CONIT)","volume":"10 7","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-06-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"120922034","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

Context-aware Secure Spectrum Sensing for Cognitive Radio Networks 认知无线电网络环境感知安全频谱感知

2022 2nd International Conference on Intelligent Technologies (CONIT) Pub Date : 2022-06-24 DOI: 10.1109/CONIT55038.2022.9848020

A. Chavan, Alok Sahu, Apparna A. Junnarkar

{"title":"Context-aware Secure Spectrum Sensing for Cognitive Radio Networks","authors":"A. Chavan, Alok Sahu, Apparna A. Junnarkar","doi":"10.1109/CONIT55038.2022.9848020","DOIUrl":"https://doi.org/10.1109/CONIT55038.2022.9848020","url":null,"abstract":"In like manner, the objective of this exploration study is to foster a proficient trust-based security answer for dynamic range detecting in CR-MANETs. Our proposed answer for working on the exhibition of CR-MANETs within the sight of attacks, for example, SSDF and ISSDF is depicted exhaustively in the accompanying area. The primary component of the interaction includes the improvement of SSDF and ISSDF assaults for use in CR-MANETs. Second, the writing survey and recognizable proof of worries connected with the security of CR-MANETs against different sorts of attacks. In the accompanying area, we propose a one of a kind trust-based worldview that can improve the inadequacies of existing methodologies while likewise safeguarding CR-MANETs from SSDF and ISSDF attacks. Leading a presentation examination to demonstrate the adequacy of the proposed model was the last advance in characterizing the review results. We are endeavoring to assemble a trust-based framework in which the trust of PU and SU will be estimated in light of their development designs and different measurements like energy utilization and creation. Alongside a setting mindful circulated trust procedure, the structure is based on a versatility mindful answer for energy proficient SSDF and ISSDF assault location, as well as a setting mindful disseminated trust technique. With the assistance of PU missing and present settings, the SU hubs analyze the dependability of their associations with each other. They will then, at that point, mention objective facts from each other while considering the versatility and energy upsides of SUs.","PeriodicalId":270445,"journal":{"name":"2022 2nd International Conference on Intelligent Technologies (CONIT)","volume":"97 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-06-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128413482","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

Dual-Band Hexagonal Millimeter Wave MIMO Antenna for 5G Femtocell Implementations 实现5G飞蜂窝的双频六角形毫米波MIMO天线

2022 2nd International Conference on Intelligent Technologies (CONIT) Pub Date : 2022-06-24 DOI: 10.1109/CONIT55038.2022.9848267

Harini V, Sairam M V S, Madhu R

引用次数: 0

Deep Neural Network based Forecasting of Short-Term Solar Photovoltaic Power output 基于深度神经网络的太阳能光伏发电短期输出预测

2022 2nd International Conference on Intelligent Technologies (CONIT) Pub Date : 2022-06-24 DOI: 10.1109/CONIT55038.2022.9847769

Sravankumar Jogunuri, F. T. Josh

引用次数: 0

CARE: IoT enabled Cow Health Monitoring System CARE:启用物联网的奶牛健康监测系统

2022 2nd International Conference on Intelligent Technologies (CONIT) Pub Date : 2022-06-24 DOI: 10.1109/CONIT55038.2022.9847701

Akash Trivedi, P. S. Chatterjee

引用次数: 1

A Model for Optimal Assignment of Non-Uniquely Mapped NGS Reads in DNA Regions of Duplications or Deletions DNA重复或缺失区域非唯一定位NGS读段的优化分配模型

2022 2nd International Conference on Intelligent Technologies (CONIT) Pub Date : 2022-06-24 DOI: 10.1109/CONIT55038.2022.9848131

Rituparna Sinha, Rajat K. Pal, R. K. De

引用次数: 0