Volume 10 | Issue 3 |

 Abstract

Personalized monitoring ad its application is increasing with an advancement of technology. And during pandemic its become very essential to keep an eye on the prone area and one of the area to identify was old age home. Dizziness, unconsciousness and other are the common problems associated with elderly people due to weakness and this was also the symptoms of covid. So an unusual activity of falling of elderly people was very difficult to identify and also to monitor. The technology was updated till now to identify posture of normal activity such as running, walking, jumping and many but revert to that falling was an area need to explore. During fall of an elderly people the injuries are very fatal and to void this case a remedial solution is design to identify the fall and try to notify te system about its fall. Although we try to predict the fall so that it become easy to monitor and provide medical help as soon as possible. The main theme is to identify the posture activity and once identify we will compare the activity with trained datasets and if its normal in vision them no notification occurred and if the percentage of fall was high them we can predict the system as fall video.

Licence: creative commons attribution 4.0

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Creative Commons Attribution 4.0 and The Open Definition

 Keywords

Elderly People, Activity Detection, Fall Detection,Predicted.

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Creative Commons Attribution 4.0 and The Open Definition

 Abstract

Image classification has long been a popular study topic across the world, and the advent of deep learning has aided in the advancement of this discipline. convolution neural networks (CNNs) have gradually become the dominant algorithm for image classification, and the CNN architecture used for other visual recognition tasks is generally derived from the network architecture used for image classification. The application of information and communication technologies in medical imaging to improve healthcare services is known as medical imaging informatics. The purpose of medical imaging analytics is to improve the accuracy and reliability of medical services, particularly medical image use and interchange across complicated healthcare systems. Deep learning techniques, particularly convolution networks, have swiftly emerged as the primary method for analyzing medical images. This paper is analysis medical image classification which exploits a large image dataset based on Convolution Neural Network models.

Licence: creative commons attribution 4.0

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Creative Commons Attribution 4.0 and The Open Definition

 Keywords

Medical image, Image Classification, deep learning, convolution neural network

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Creative Commons Attribution 4.0 and The Open Definition

 Abstract

Internet transformed the entire world into a global village. E-Commerce created a a market without boundaries, cutting across the countries and the continents. A new dimension of offences has emerged in the present internet dominant world. New and novel style has begun in commission of money laundering offences with the dawn of IT revolution. The mode of commission of offence has changed. I.T is facilitating and contributing for the commission of money-laundering with the assistance of Internet. Like many illegal activities, money laundering is also underwent a rapid change due to technological advancements . These are facilitating the criminal syndicates to transfer their illegally gained money just with a click of a mouse across the globe using credit cards, e-wallets, internet banking facilities etc. Fund transfers are made directly between the parties. Thus unlimited amount is being transferred without having any strict checks today

Licence: creative commons attribution 4.0

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Creative Commons Attribution 4.0 and The Open Definition

 Keywords

technological advancements , cyber laundering,e commerce, global village , internet

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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

burnout, karyasantushti, shikshak

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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

Chromatic Components, Luminance Component, Color Enhancement, Discrete Cosine Transform (DCT), Quality Metrics, Spatial Domain, Compression Domain

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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

COVID-19, Pandemic, Psychological Effects, Academicians

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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

Keywords: experience, identity, inferiority, insurgency, othering, trauma, violence

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Creative Commons Attribution 4.0 and The Open Definition

 Abstract

Traditional medicine is defined as indigenous medicine that is used to maintain health and to prevent diagnose, treat physical and mental illness differently from allopathic medicines based on their theories, beliefs and experiences. Medicinal plants are the backbone of primary health care system and play a vital role in the health care system of human beings since the dawn of civilization. The exploration, identification, and documentation on utilization of ethnobotanic resources are essential for restoration and preservation of ethnomedicinal knowledge about plants and conservation of these species for greater interest of human society. Traditional medicine forms a valuable resource for the development of new pharmaceuticals.

Licence: creative commons attribution 4.0

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Creative Commons Attribution 4.0 and The Open Definition

 Keywords

North Bengal, Forest, Ethnomedicinal plants, Traditional medicine, Primary healthcare

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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

Community Health, Females, Menstruation, Premenstrual Syndrome, Prevalence, Physiotherapy.

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Creative Commons Attribution 4.0 and The Open Definition

 Abstract

The traditional method of customers browsing for and purchasing goods and services has been altered by the internet. Digitalization is the latest trend in this fast-changing age and period. To keep ahead of the competition, every physical and mortar store is now attempting to establish an online presence. Consumers utilize the internet to evaluate costs, product features, and after-sale service options in addition to online buying. Online shopping, often known as e-shopping, is a type of electronic commerce that allows customers to buy goods or services directly from a vendor via the Internet via a computer browser. Customers choose to purchase goods and services since it saves time and provides a larger assortment of things than traditional shopping.

Licence: creative commons attribution 4.0

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Creative Commons Attribution 4.0 and The Open Definition

 Keywords

E-commerce, consumer perception, online shopping

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Creative Commons Attribution 4.0 and The Open Definition