Volume 9 | Issue 6 |

 Abstract

294 Ashirwad R.K.Extension Stand road sangli , maharashtra

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CAD, Catia, GUI, Macros, Design, Parametric modeling, two stage spur gearbox

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E-learning has transformed the education sector in a drastic way. With the sudden shift away from the traditional classroom due to the pandemic, there is a dire need to implement e-learning for the benefit of both the learner and the educator. Keeping in mind the vast scope of e-learning, the paper will be an attempt to redefine the role of the educator and the learner in e-learning, the usage of the terminology, the fundamental perspectives while also highlighting the advantages and the disadvantages particularly in reference to the state of Nagaland.

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E-learning, Education, Learning, Teaching, Technology

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Smart Traffic Monitoring and Controlling Using IOT and Cloud is a cornerstone of a Smart city. In the current problems of the world, urban mobility is one of the major problems, especially in metropolitan cities. ... An algorithm is used to predicts the traffic density for future to minimize the traffic congestion.

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Hardware nd Software

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This paper establishes a forecasting framework to predict the prices of stocks. The project seek to utilise Deep Learning Models, Long-Short Term Memory (LSTM), Neural Network Algorithm to predict stock prices.

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Deep Learning Models, LSTM, Neural Network Algorithm

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COVID-19 is an infectious disease caused by a newly discovered corona virus. The pandemic has become the cause for a dramatic loss of human life. Though there are various vaccines that are being manufactured for coronavirus, lakhs of cases are still arising worldwide. So, to prevent the spread of the pandemic, quick and effective testing is necessary. Many researches have recently shown that chest x-rays are found to be highly predictive of COVID-19. Though the chest X-Rays cannot solely be used for determining COVID-19, the persons with positive results could be quickly isolated due to the instantaneous nature of the chest X-Ray testing. In this work, we are trying to predict whether a person has COVID-19 from their chest X-Ray image by image classification using Convolutional Neural Networks learning.

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Chest X-Ray, COVID-19, Corona Virus, Convolutional Neural Networks, Machine Learning, Deep Learning

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India has an estimated 77 million people with diabetes, which makes it second most affected in the world, after China. The number is projected to grow by 2045 to become 134 million by the International Diabetes Federation. Diabetic Retinopathy is one of the many side effects of Diabetes. Up to 21% patients with the type 2 Diabetes have retinopathy at the time of first diagnosis of Diabetes, and most develop some degree of retinopathy over time. Diabetic Retinopathy is a complication of Diabetes that affects the eyes. It is caused by the damage of the blood vessels in the tissue at the back of the eye(retina). It is generally observed, especially in the rural areas, that people consult the doctor only after their vision become blurred and they start to experience blindness, which is the third or fourth stage. At this stage, it becomes difficult to treat the patient after the retina has fully damages. This paper will provide all the guidelines for detecting DR of any fundus image.

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Diabetic Retinopathy, Microaneurysms, Hemorrhages, Exudates, Support Vector Machine.

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Key words: MGNREGA, Education, Rural migration, Performance, India

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The eye is the most important sense organ which enables us to see the world. Ocular eye diseases are some of the major problems for vision. In this ocular eye disease comes the most common disease, Cataract. Cataract is a misty form that affects the vision of the eye which causes blurriness. It is mostly found in elderly people due to their age. Computer-aided diagnosis is a bit complicated task for the detection of ocular eye diseases. In the present paperwork, we predict the ocular eye diseases based on Machine Learning algorithms which include Convolution Neural Networks (CNN) and image pre-processing. The accuracy of the outcome is displayed through the confusion matrix.

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Cataract; Detection; Convolution Neural Networks (CNN); Image pre- processing; Confusion matrix

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Data mining consists of various applications in financial and medical. Data Mining perform various tasks.Classification is one of the main task in data mining. In this paper classification is integrated in Cloud computing.Whenever the user created data in offload that can be encrypted and sent to the cloud.This paper uses classification technique for security in cloud. This paper implements KNN classification and prove its efficiency.

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Security, Classification ,KNN classifier, encryption, Security

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 Abstract

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Attendance, Curriculum, Semester

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