Volume 9 | Issue 6 |

 Abstract

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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 Keywords

Hardware nd Software

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Creative Commons Attribution 4.0 and The Open Definition

 Abstract

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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Creative Commons Attribution 4.0 and The Open Definition

 Keywords

Deep Learning Models, LSTM, Neural Network Algorithm

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Creative Commons Attribution 4.0 and The Open Definition

 Abstract

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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 Keywords

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

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Creative Commons Attribution 4.0 and The Open Definition

 Abstract

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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 Keywords

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

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Creative Commons Attribution 4.0 and The Open Definition

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

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Creative Commons Attribution 4.0 and The Open Definition

 Abstract

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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 Keywords

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

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 Abstract

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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 Keywords

Security, Classification ,KNN classifier, encryption, Security

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Creative Commons Attribution 4.0 and The Open Definition

 Abstract

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 Keywords

Attendance, Curriculum, Semester

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Creative Commons Attribution 4.0 and The Open Definition

 Abstract

Machine Learning has been exponentially growing in the past with applications in almost every field of science and engineering. It is a very useful and efficient technique to make sensible interpretations of the vast amount of data which is very difficult to carry out but the human mind. There are many fields in science where huge amounts of experimental data are systematically developed over several decades. It can be utilized to make new interpretations and understandings with the help of machine learning, which was otherwise not possible. This article reports advancements made in the fields of genetics, material science, and agriculture with the successful use of machine learning.

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Machine Learning, Material science, Genetics, Agriculture

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Creative Commons Attribution 4.0 and The Open Definition

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COVID-19 pandemic is the deadliest crisis the entire world is going through. There are many active cases and deaths that have been brought about by the infection. The main symptoms of the disease include fever, dry cough, sore throat, tiredness and difficulty in breathing. To prevent the spread of disease, infected people should maintain hygiene and to be kept in isolation. Masks, sanitiser, and physical distance are to be maintained to control the spread of disease. This disease mainly affects the respiratory system thereby affecting the oxygen intake which is essential for human survival. In the present paperwork, we estimated the probability of a patient being affected with COVID-19 and estimated whether they need oxygen or should be hospitalized or if home quarantine is enough based on the given patient's details.

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 Keywords

Logistic Regression, Django, Python, COVID-19, Symptoms, SPO2, Hospitalization

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Creative Commons Attribution 4.0 and The Open Definition