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International Journal for Modern Trends in Science and Technology最新文献

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CoviDecode : Detection of COVID-19 from ChestX-Ray images using Convolutional NeuralNetworks covid - code:使用卷积神经网络从胸部x射线图像中检测COVID-19
International Journal for Modern Trends in Science and Technology Pub Date : 2020-12-18 DOI: 10.46501/ijmtst061283
Rishabh Raj
{"title":"CoviDecode : Detection of COVID-19 from Chest\u0000X-Ray images using Convolutional Neural\u0000Networks","authors":"Rishabh Raj","doi":"10.46501/ijmtst061283","DOIUrl":"https://doi.org/10.46501/ijmtst061283","url":null,"abstract":"ommand, product recommendation and medical diagnosis. The detection of severe acute respiratory\u0000syndrome corona virus 2 (SARS CoV-2), which is responsible for corona virus disease 2019 (COVID-19),\u0000using chest X-ray images has life-saving importance for bothpatients and doctors. In addition, in countries\u0000that are unable to purchase laboratory kits for testing, this becomes even more vital. In this study, we aimed\u0000to present the use of deep learning for the high-accuracy detection of COVID-19 using chest X-ray images.\u0000Publicly available X-ray images were used in the experiments, which involved the training of deep learning\u0000and machine learning classifiers. Experiments were performed using convolutional neural networks and\u0000machine learning models. Images and statistical data were considered separately in the experiments to\u0000evaluate the performances of models, and eightfold cross-validation was used. A mean accuracy of 98.50%.\u0000A convolutional neural network without pre-processing and with minimized layers is capable of detecting\u0000COVID- 19 in a limited number of, and in imbalanced, chest X-rayimages.","PeriodicalId":13741,"journal":{"name":"International Journal for Modern Trends in Science and Technology","volume":"13 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2020-12-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"79358470","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
Video Conference Application using Androidand Firebase 基于android和Firebase的视频会议应用
International Journal for Modern Trends in Science and Technology Pub Date : 2020-12-18 DOI: 10.46501/ijmtst061289
Rahul Roy and SeemaKalonia
{"title":"Video Conference Application using Android\u0000and Firebase","authors":"Rahul Roy and SeemaKalonia","doi":"10.46501/ijmtst061289","DOIUrl":"https://doi.org/10.46501/ijmtst061289","url":null,"abstract":"As the world is changing rapidly and there has been a significant increase in the number of technologies\u0000which are getting introduced over the years to bridge the gap between the people. Video conferencing is one\u0000of the that which has seen a significant growth over the years. Understanding what are required for video\u0000conferencing and its application has become one amongst the foremost important researched topics by\u0000various learning institutions and businessmen. In this paper, an introduction to video conferencing is\u0000presented with the strain on its application in distance learning.","PeriodicalId":13741,"journal":{"name":"International Journal for Modern Trends in Science and Technology","volume":"30 8 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2020-12-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"86483378","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
Heart Disease Prediction and Classification UsingMachine Learning Algorithms Optimized byParticle Swarm Optimization and Ant ColonyOptimization 基于粒子群优化和蚁群优化的机器学习算法的心脏病预测和分类
International Journal for Modern Trends in Science and Technology Pub Date : 2020-12-18 DOI: 10.46501/ijmtst061282
Aditya, Lalit and Mantosh Kumar
{"title":"Heart Disease Prediction and Classification Using\u0000Machine Learning Algorithms Optimized by\u0000Particle Swarm Optimization and Ant Colony\u0000Optimization","authors":"Aditya, Lalit and Mantosh Kumar","doi":"10.46501/ijmtst061282","DOIUrl":"https://doi.org/10.46501/ijmtst061282","url":null,"abstract":"The prediction of heart disease is one of the areas where machine learning can be implemented. Optimization\u0000algorithms have the advantage of dealing with complex non-linear problems with a good flexibility and\u0000adaptability. In this paper, we exploited the Fast Correlation-Based Feature Selection (FCBF) method to filter\u0000redundant features in order to improve the quality of heart disease classification. Then, we perform a\u0000classification based on different classification algorithms such as K-Nearest Neighbour, Support Vector\u0000Machine, Naïve Bayes, Random Forest and a Multilayer Perception | Artificial Neural Network optimized by\u0000Particle Swarm Optimization (PSO) combined with Ant Colony Optimization (ACO) approaches. The proposed\u0000mixed approach is applied to heart disease dataset; the results demonstrate the efficacy and robustness of\u0000the proposed hybrid method in processing various types of data for heart disease classification. Therefore,\u0000this study examines the different machine learning algorithms and compares the results using different\u0000performance measures, i.e. accuracy, precision, recall, f1-score, etc. A maximum classification accuracy of\u000099.65% using the optimized model proposed by FCBF, PSO and ACO. The results show that the performance\u0000of the proposed system is superior to that of the classification technique presented above.","PeriodicalId":13741,"journal":{"name":"International Journal for Modern Trends in Science and Technology","volume":"16 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2020-12-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"86337119","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
Natural Language Processing methods forDocument Matching 文档匹配的自然语言处理方法
International Journal for Modern Trends in Science and Technology Pub Date : 2020-12-18 DOI: 10.46501/ijmtst061271
Maitri Patel and Dr Hemant D Vasava
{"title":"Natural Language Processing methods for\u0000Document Matching","authors":"Maitri Patel and Dr Hemant D Vasava","doi":"10.46501/ijmtst061271","DOIUrl":"https://doi.org/10.46501/ijmtst061271","url":null,"abstract":"Data,Information or knoweldge,in this rapidly moving and growing world.we can find any kind of information\u0000on Internet.And this can be too useful,however for acedemic world too it is useful but along with it plagarism\u0000is highly in practice.Which makes orginality of work degrade and fraudly using someones original work and\u0000later not acknowleging them is becoming common.And some times teachers or professors could not identify\u0000the plagarised information provided.So higher educational systems nowadays use different types of tools to\u0000compare.Here we have an idea to match no of different documents like assignments of students to compare\u0000with each other to find out, did they copied each other’s work?Also an idea to compare ideal answeer sheet of\u0000particular subject examination to similar test sheets of students.Idea is to compare and on similarity basis\u0000we can rank them.Both approach is one kind and that is to compare documents.To identify plagarism there\u0000are many methods used already.So we could compare and develop them if needed.","PeriodicalId":13741,"journal":{"name":"International Journal for Modern Trends in Science and Technology","volume":"27 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2020-12-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"85844340","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
Open Source Software, Low Cost VideoConferencing Solution 开源软件，低成本视频会议解决方案
International Journal for Modern Trends in Science and Technology Pub Date : 2020-12-18 DOI: 10.46501/ijmtst061277
Prasanna Bisen
{"title":"Open Source Software, Low Cost Video\u0000Conferencing Solution","authors":"Prasanna Bisen","doi":"10.46501/ijmtst061277","DOIUrl":"https://doi.org/10.46501/ijmtst061277","url":null,"abstract":"Video conferencing may be a technology that permits users in several locations to carry face-to-face\u0000meetings without having to maneuver to one location together. Uses for video conferencing include holding\u0000routine meetings, negotiating business deals, and interviewing job candidates","PeriodicalId":13741,"journal":{"name":"International Journal for Modern Trends in Science and Technology","volume":"96 5 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2020-12-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"80305914","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
Comparative Study of Various ConvolutionalNeural Networks on Cifar-10 Cifar-10上各种卷积神经网络的比较研究
International Journal for Modern Trends in Science and Technology Pub Date : 2020-12-18 DOI: 10.46501/ijmtst061276
Tushar Goyal
{"title":"Comparative Study of Various Convolutional\u0000Neural Networks on Cifar-10","authors":"Tushar Goyal","doi":"10.46501/ijmtst061276","DOIUrl":"https://doi.org/10.46501/ijmtst061276","url":null,"abstract":"Image recognition plays a foundational role in the field of computer vision and there has been extensive\u0000research to develop state-of-the-art techniques especially using Convolutional Neural Network (CNN). This\u0000paper aims to study some CNNs, heavily inspired by highly popular state-of-the-art CNNs, designed from\u0000scratch specifically for the Cifar-10 dataset and present a fair comparison between them.","PeriodicalId":13741,"journal":{"name":"International Journal for Modern Trends in Science and Technology","volume":"17 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2020-12-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"83199354","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
COVID-19 Detection using Deep Learning 利用深度学习检测COVID-19
International Journal for Modern Trends in Science and Technology Pub Date : 2020-12-18 DOI: 10.46501/ijmtst061281
V. Gupta
{"title":"COVID-19 Detection using Deep Learning","authors":"V. Gupta","doi":"10.46501/ijmtst061281","DOIUrl":"https://doi.org/10.46501/ijmtst061281","url":null,"abstract":"Deep learning is an artificial intelligence function that imitates the workings of the human brain in processing\u0000data and creating patterns for use in decision making. Deep learning is a subset of machine learning in\u0000artificial intelligence (AI) that has networks capable of learning and recognizing patterns from data that is\u0000unstructured or unlabelled. It is also known as deep neural learning or deep neural network. Convolutional\u0000Neural Networks (ConvNets or CNNs) are a category of Neural Networks that have proven very effective in\u0000areas such as image recognition and classification. ConvNets have been successful in identifying faces,\u0000objects and traffic signs apart from powering vision in robots and self-driving cars. ConvNets can also be\u0000used for Radio Imaging which helps in disease detection.\u0000This paper helps in detecting COVID-19 from the X-ray images provided to the model using Convolutional\u0000Neural Networks (CNN) and image augmentation techniques.","PeriodicalId":13741,"journal":{"name":"International Journal for Modern Trends in Science and Technology","volume":"95 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2020-12-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"72846105","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
Text to Multiple Language Translator 文本到多语言翻译
International Journal for Modern Trends in Science and Technology Pub Date : 2020-12-18 DOI: 10.46501/ijmtst061278
Deepak kumar
{"title":"Text to Multiple Language Translator","authors":"Deepak kumar","doi":"10.46501/ijmtst061278","DOIUrl":"https://doi.org/10.46501/ijmtst061278","url":null,"abstract":"In today’s globalized world thousands of peoples travels from one country to another. To interact with\u0000different peoples we generally speaks in English and communicate but this can’t be possible always as\u0000sometimes we need to talk in the local language so for these situations my system comes in picture as is\u0000provides quick, simple, and reliable way to convert a sentence into many language. Not only convert but also\u0000speaks so that user don’t need to speak in local language and can easily communicate.","PeriodicalId":13741,"journal":{"name":"International Journal for Modern Trends in Science and Technology","volume":"41 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2020-12-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"76232592","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
Detection of Novel Corona Virus Using MachineLearning and Image Recognition 利用机器学习和图像识别检测新型冠状病毒
International Journal for Modern Trends in Science and Technology Pub Date : 2020-12-18 DOI: 10.46501/ijmtst061274
Dhruv Garg and Saurabh Gautam
{"title":"Detection of Novel Corona Virus Using Machine\u0000Learning and Image Recognition","authors":"Dhruv Garg and Saurabh Gautam","doi":"10.46501/ijmtst061274","DOIUrl":"https://doi.org/10.46501/ijmtst061274","url":null,"abstract":"In the recent past whole of the world has come to a standstill due to a novel airborne virus. The airborne\u0000nature of this disease has made it highly contagious which has led to a great number of people being\u0000infected very fast. This requires a new method of testing that is faster and more precise. Machine\u0000Learning has allowed us to develop sophisticated self-learning models that can learn from data being\u0000fed and decide on entirely new options. In the past we have used different Machine Learning algorithm\u0000to make models on different biomedical dataset to detect various kind of acute or chronic diseases.\u0000Here we have developed a model that successfully detects severe cases of Novel corona virus affected\u0000person with great precision.","PeriodicalId":13741,"journal":{"name":"International Journal for Modern Trends in Science and Technology","volume":"194 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2020-12-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"87649209","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
Food Ordering Web Application for the Fitnessfreaks 订餐网络应用程序为健身狂
International Journal for Modern Trends in Science and Technology Pub Date : 2020-12-18 DOI: 10.46501/ijmtst061286
Tarun Garg Ms. Meenu Garg and Dr. Bhoomi Gupta
{"title":"Food Ordering Web Application for the Fitness\u0000freaks","authors":"Tarun Garg Ms. Meenu Garg and Dr. Bhoomi Gupta","doi":"10.46501/ijmtst061286","DOIUrl":"https://doi.org/10.46501/ijmtst061286","url":null,"abstract":"The online food ordering system provides conveniencefor the customers. It overcomes the disadvantages of\u0000the traditional queuing system. This system increases the takeaway of foods than visitors. Therefore, this\u0000system enhances the speed and standardization of taking the order from the customer. It provides a better\u0000communication platform. the user’s details are noted electronically.\u0000The online food ordering system set up menu online and the customers easily places the order with a\u0000simple mouse click. also with a food menu online you can easily track the orders, maintain customer's\u0000database and improve your food delivery service. This system allows the user to select the desired food items\u0000from the displayed menu. The user orders the food items. The payment can be made online or pay-ondelivery system. The user’s details are maintainedconfidential because it maintains a separate account for\u0000each user. An id and password is provided for each user. Therefore it provides a more secured ordering.","PeriodicalId":13741,"journal":{"name":"International Journal for Modern Trends in Science and Technology","volume":"36 4 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2020-12-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"82718826","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
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