Volume 9 | Issue 4 |

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Soil Moisture Sensor, Ph Sensor, Ardunio, Temperature Sensor

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Creative Commons Attribution 4.0 and The Open Definition

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Mathematics is very important in our life. Through this mathematics we are achieving many problems in daily life. Mathematics can take the first place in enhancing our knowledge. Currently we are experiencing maths problems in general. In the present generation we can find mathematical problems easily and accurately using various types of algorithms .We will learn some of types of algorithms in detail in this paper. In this paper mainly focus on types of algorithms to solving in mathematical of combinatorial programming problems in theoretical.

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Introduction- Combinatorial Programming issues-Types of Algorithms-Conclusion.

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Creative Commons Attribution 4.0 and The Open Definition

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Key Words: Technology advancement, employee commitment, manufacturing sector

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Creative Commons Attribution 4.0 and The Open Definition

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COVID-19, PANDEMIC, AGRICULTURE, MIGRANT

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Creative Commons Attribution 4.0 and The Open Definition

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Consumer, E-Commerce, Online Shopping, Attitude, Behaviour, etc..

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Heart Disease is the life threatening disease which is increasing at a very fast pace as many people suffer due to this every year and at present, heart disease is the number one cause of death worldwide. This disease affects heart as well as other body part so to provide an efficient analysis of disease, helps to the medical team in treatment. Early detection of this disease can save many lives by proper treatment. The traditional diagnostic methods like blood tests, electrocardiogram, cardiac computerized tomography scan, cardiac magnetic resonance imaging, etc are time consuming and/or invasive. In this review paper, many heart disease detection techniques were studies which were proposed in past few years. This paper narrates about the methodologies used by the researchers and accuracy claimed by them. For examining the claimed accuracy a common data set was used and a comparison table of various techniques was given in result discussion section. This paper presents the techniques which having acceptable accuracy level.

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Heart Disease Detection Techniques, Machine Learning and Deep Learning for Heart Disease

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In this technological era the use of gadgets such as cell phone has expanded, Short Message Service (SMS) has developed into a multi-billion dollar industry. Simultaneously, a decrease in the expense of informing administrations has brought about development in spontaneous business promotions (spams) being shipped off cell phones. In pieces of Asia, up to 30% of instant messages were spam in 2012.The absence of genuine information bases for SMS spam, a short length of messages and restricted highlights, and their casual language are the variables that may cause the setup email sifting calculations to fail to meet expectations in their order. In this undertaking, a data set of genuine SMS Spam store is utilized, and subsequent to preprocessing and highlight extraction, distinctive AI methods are applied to the information base. SMS spam filtering is a comparatively recent errand to deal such a problem. It inherits many concerns and quick fixes from Email spam filtering. However it fronts its own certain issues and problems at last, the outcomes are thought about and the best calculation for spam sifting for text informing is presented.

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SMS Artificial Intelligence Algorithms Machine learning

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Forming a strategic alliance with the U.S. telecommunications company, AT&T will also prove to be an opportunity for One Plus, yet comes with a set of risks and challenges as well. However, a strategic alliance will come with a heavy price tag, and distribution matters will have to be revamped. Further risks stem from the level of the consumer. One Plus must be prepared to compensate for relying solely on e-commerce in selling their product. Ecommerce limits the amount of customer interaction opportunities the company could greatly benefit from. It also reduces the level of satisfaction and loyalty the consumer will have towards the product.

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Innovation, smartphones, customer preference, technical features.

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In this modern period, people have to control everything with their mobiles, So our motive behind this research paper is that we will provide such an application to the people by which people can rent a vehicle at any time anywhere. Our proposed web application is not just for renting cars and bikes like OLA and Uber, but with the help of this, you can rent equipment for farming, picnic bus and auto-rickshaw for those who cannot afford to buy auto-rickshaws, can rent rickshaws from a website and earn their earnings. In this, we will give the facility to the owner that he can decide the price of his car on his own. Customers will get a lot of options in it like different price vehicles will be available to them according to their convenience. Our proposed web system is very secure and easy to use. It can be used by a person of any age. The project is proposed to make effective use of computer science skills PHP, MYSQL, HTML, and JavaScript to come up with an interactive, large, and easy to access and use platform for a Novel vehicle renting System Using Full-stack technology.

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Earn Money; Add to Cart; Vehicle Brands; Farming Services; Price Range Discovery.

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ABSTRACT Drynaria quercifolia (L.) J. Smith is an important medicinal plant used in traditional medicinal system by different group of people to treat various kinds of health problems. It is commonly known as oak leaf fern of the family Polypodiaceae of Pteridophyta. It is distributed widely in the evergreen forests of India and is native to tropical areas of Africa, Asia, and Australia and cultivated mostly as a medicinal plant. It plays an important medical role in many countries, especially in Asia. Various phytochemicals like 3,4-dihydroxybenzoic acid, friedelin, epifriedelinol, ?-amyrin, ?-sitosterol and ?-sitosterol 3-?-D-glucopyranoside has been isolated from the plant. The rhizome is reported to have anti-fertility, anti-inflammatory and antipyretic, antimicrobial, antioxidant, wound healing, bone regenerative activity and various other activities of traditional and medicinal uses. This review has been aim to provide scientific information and folklore uses of Drynaria quercifolia as an ethno-medicinal plants.

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Creative Commons Attribution 4.0 and The Open Definition

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Drynaria quercifolia, rhizome, ethno-medicinal, phytochemical, antioxidant

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Creative Commons Attribution 4.0 and The Open Definition