Volume 10 | Issue 6 |

 Abstract

This paper deals with the prediction of Diabetes Disease by using SVM, KNN, Decision Tree, LR, Random Forest Classifiers. Further, by incorporating all the present risk factors of the dataset, we have observed a stable accuracy after classifying and performing cross-validation. We managed to achieve a stable and highest accuracy of 90%. We analyzed why specific Machine Learning classifiers do not yield stable and good accuracy by visualizing the training and testing accuracy and examining model overfitting and model underfitting. The main goal of this paper is to find the most optimal results in terms of accuracy and computational time for Diabetes disease prediction.

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Creative Commons Attribution 4.0 and The Open Definition

 Keywords

Diabetes disease, Machine learning(ML), SVM, KNN, Decision Tree, LR, Random Forest Classifiers.

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Creative Commons Attribution 4.0 and The Open Definition

 Abstract

Licence: creative commons attribution 4.0

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Creative Commons Attribution 4.0 and The Open Definition

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Keywords: Legends, Myths, fables, folktales, children, life lessons, thought provoking.

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Creative Commons Attribution 4.0 and The Open Definition

 Abstract

Licence: creative commons attribution 4.0

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Creative Commons Attribution 4.0 and The Open Definition

 Keywords

Internet of Things, Microcontroller, sensors, automate

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Creative Commons Attribution 4.0 and The Open Definition

 Abstract

Licence: creative commons attribution 4.0

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Creative Commons Attribution 4.0 and The Open Definition

 Keywords

Artificial Intelligence ,Raspberry Pi, Arduino.

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Creative Commons Attribution 4.0 and The Open Definition

 Abstract

The idea behind the project is to develop a system that can provide additional security to our defense system. We are introducing a system that can be used in extreme climatic conditions where it is difficult to deploy our army personnel. Our project is used for the detection of intruders, identifying them, and stopping them without any human loss. we use the ultrasonic sensor to detect the obstacle using the echo signals and we use cameras to capture the image of the intruders. Then we are using a laser to demonstrate a gun firing toward the intruder. A buzzer is connected to an Arduino microcontroller which can be used to warn the nearby local station. This project makes a huge difference in our defense system by eliminating any human less.

Licence: creative commons attribution 4.0

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Creative Commons Attribution 4.0 and The Open Definition

 Keywords

Scanning, Detecting, Live Streaming, Shooting

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Creative Commons Attribution 4.0 and The Open Definition

 Abstract

Licence: creative commons attribution 4.0

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Creative Commons Attribution 4.0 and The Open Definition

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Creative Commons Attribution 4.0 and The Open Definition

 Abstract

E-Paper is invented by Nick Sheridon in 1970. E-Paper are just like traditionalpaper. E-Paper are E-papers of the future are just around the corner, promising to hold libraries on a chip and replace most printed newspapers by the end of the decade. They are made of flexible material, require ultra-low power consumption, are cheap to manufacture, and most importantly, are easy and convenient to read. E-paper is a portable form of electronic paper. Reusable storage and display media that resembles paper but that can be written on (refreshed) thousands or millions of times via electrical means. E-paper will be utilised for e-books, electronic newspapers, portable signs, and foldable, rollable screens, among other applications. The data to be shown is either retrieved from a computer or a cell phone, or it is manually made using mechanical tools like an electronic "pencil." This article explores the past, present, and future of the subject.

Licence: creative commons attribution 4.0

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Creative Commons Attribution 4.0 and The Open Definition

 Keywords

Electronic paper, E Ink, Invention, Printing, Innovation, Print Media

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Creative Commons Attribution 4.0 and The Open Definition

 Abstract

Licence: creative commons attribution 4.0

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Creative Commons Attribution 4.0 and The Open Definition

 Keywords

Driver Drowsiness, Mouth Opening Ratio, Eye-Aspect Ratio, Nose-Length Ratio, Python, OpenCV

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Creative Commons Attribution 4.0 and The Open Definition

 Abstract

The most common challenges faced nowadays by teachers at academic level is to attract or retain the attention of children and commitment towards education.Thus new and thrilling methodologies were developed to support teachers .The agile teaching/learning methodology is specifically designed for distance education from the field of software engineering and leveraging upon concepts from a agile software methodology. This paper explains the objectives which are behind agile teaching methodology and process architecture of the methodology used in distance learning . Agile methodologies that have pursued educational approaches and to provide a detailed explanation of features regarding educational context .

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Creative Commons Attribution 4.0 and The Open Definition

 Keywords

Agile Methodology , Extreme programming, Scrum ,Software engineering

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Creative Commons Attribution 4.0 and The Open Definition

 Abstract

BACKGROUND: Corona Virus is global pandemic disease accord in China and is spread worldwide. Patients suffering from COVID-19 suffer from severe pneumonia develop ARDS. Patients with COVID-19 show clinical features like fever, cough, shortness of breath, chest tightness, hemoptysis, loss of appetite, nausea, vomiting, diarrhea, abdominal pain, muscle pain, headache, smell or taste disfunction. Respiratory muscle weakness is an important issue after a COVID-19 infection. AIM: To study the effect of Inspiratory Muscle Training on Maximum Inspiratory Pressure in COVID-19 patients. METHOD: Following an explanation of the study to participants, signed agreement was obtained. 34 participants both male and female were included. Pre assessment (MIP measured by using digital manometer and dyspnoea related anxiety using BBQ.) were done. Post assessment (after 2 weeks MIP measured by using digital manometer and dyspnoea related anxiety using BBQ) were done. Treatment was given 2 sessions daily, 5 days a week for 2 consecutive weeks. RESULT: The statistical analysis was done using paired t test, which showed significant improvement in post exercise protocol. CONCLUSION: The result of the study shows that inspiratory muscle trainer improves inspiratory muscle strength in COVID-19 patients thus improving their dyspnoea related anxiety by giving relatively lesser scores than pre-treatment BBQ result. Hence inspiratory muscle trainer can be effectively used to improve inspiratory muscle strength and dyspnoea related anxiety in COVID-19 patients. KEY WORDS: COVID-19, Dyspnoea, inspiratory muscle trainer device, breathlessness belief questionnaire (BBQ), inspiratory muscle strength.

Licence: creative commons attribution 4.0

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Creative Commons Attribution 4.0 and The Open Definition

 Keywords

COVID-19, Dyspnoea, inspiratory muscle trainer device, breathlessness belief questionnaire (BBQ), inspiratory muscle strength

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Creative Commons Attribution 4.0 and The Open Definition