Volume 9 | Issue 3 |

 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: Technology, Social network sites, Peers, Development, Student Engagement.

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Creative Commons Attribution 4.0 and The Open Definition

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Through this article, we intend to describe the process of modelling real world problems into known statistical models and understand how the solutions are obtained with the help of different statistical techniques.

Licence: creative commons attribution 4.0

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Creative Commons Attribution 4.0 and The Open Definition

 Keywords

Data ,Modeling, Hypothesis Testing,Regression

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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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Extracurricular Achievements, Young adult, Employment Status

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Creative Commons Attribution 4.0 and The Open Definition

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Regression analysis is an machine learning model for sale prediction.For this kind of prediction a company needs time series of data based on that it also predict the future sales.In this project we will analyze the sale data of the company based on that we predict the sales for a specific product. For this project we apply multi-variable linear regression using a straight-lined equation.

Licence: creative commons attribution 4.0

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Creative Commons Attribution 4.0 and The Open Definition

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Prediction, straight-lined equation,modules

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Creative Commons Attribution 4.0 and The Open Definition

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The E-commerce websites have been emerged in a high range of marketing benefits for the users to publish or share the experience of the received product by posting review that contain useful comments, opinions and feedback on the product. Nowadays, millions of customers gain opportunities to compare similar products in online websites and pick their favorites in digital retailers, such as Amazon.com and Taobao.com. Customer reviews in social media and electronic commerce Websites contain valuable electronic word information of products. Sentiment Analysis is widely applied as voice of customers for applications that target marketing and customer service. Sentiment extractors in their most basic form categorize texts as either having a positive or negative or sometimes neutral sentiment. A common application of sentiment analysis is the automatic determination of whether an online review contains a positive or negative assessment. Hence, in this paper, with the help of the techniques on sentiment analysis, opinionated sentences referring to a specific feature are first identified from product online reviews. We have proposed deep learning method as a classification model for finding the state of review. The results showed recommended site for the customer based on the early reviews, past reviews and answer given to query review for the customer. Moreover, it is observed that the proposed technique can able to reply all the reviews with a better similarity like a human response to the customer.

Licence: creative commons attribution 4.0

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Creative Commons Attribution 4.0 and The Open Definition

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E-commerce, opinion analysis, sentiment analysis, deep learning

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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:, Internet of Things, enhanced learning, tremendous challenges, affluent.

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Creative Commons Attribution 4.0 and The Open Definition

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The need for no contact or contactless life has come into picture after this, so this paper aims at developing a mechanism to ensure that a contactless delivery of necessities in the Medical and Mechanical field is achieved. This is a trolley which would deliver food and any other necessity in the medical fields and carry tool piece to the workstations for the ease of the workers. By using the IOT technology with a few sensors, this trolley will be developed which will be fully automated. It will use camera sensor to ensure a hassle-free movement of the trolley, it will also be Wi-Fi controlled to ensure an easy and a distant access of the trolley.

Licence: creative commons attribution 4.0

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Creative Commons Attribution 4.0 and The Open Definition

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Automated trolley, Medical, Mechanical, Mechanism

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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

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Artificial intelligence or AI is a field of higher order technology, devoted to the creation of humanlike artificial creatures to be employed in fitting contexts with the ultimate aim to facilitate human development. Such objectives have immediately encouraged considerable interest among philosophers in the field. This tendency has sufficiently been confirmed by their numerous attempts to emphatically affirm the unattainability of at least some of the goals set by AI. On the helpful side, several of the essential techniques and formalisms employed in AI have emerged out of philosophy. Philosophers can also be observed conducting developmental researches in AI as a philosophical subcategory. This interweaving of AI and philosophy has set stage for innumerable artistic products of popular culture. At the core of the film Android Kunjappan Version 5.25 is a morally charged dilemma that arises when emotions get intertwined with technology. As conscience and feelings get engaged, the film turns into a poignant tale that actively elucidated the pros and cons of too much involvement of AI in ordinary life. Android Kunjappan Version 5.25 provides the audience with the experience of a modern technological experiment that begets unforeseen results.

Licence: creative commons attribution 4.0

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Creative Commons Attribution 4.0 and The Open Definition

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Artificial intelligence, philosophy, technology, Android Kunjappan Version 5.25, popular culture

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Creative Commons Attribution 4.0 and The Open Definition

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Sign Language is the primary mode of interaction between the specially-abled deaf and mute population. As per the World Health Organization (WHO) survey, 460 million individuals including men, women and children suffer hearing disability. Out of these 460 million individuals, about 12.3 million belong to India. Most of this population relies on a third person who is capable of translating hand sign gestures to the regionally spoken language for them. But involving a translator hinders the conversation privacy. Here, the rapid development in the field of Artificial Intelligence (AI) and Machine Learning (ML) aids to convert hand sign gestures into words that can be understood by normal people. The Indian sign language interpreter for the mute and deafened people follows a Vision-based approach which uses the Machine Learning technique of 3D-CNN (3-Dimensional Convolutional Neural Network) and LSTM (Long Short-Term Memory) neural network to productively map the input-Indian sign language gesture images to their meaning. This system aims to interpret hand gestures images of Indian Sign Language for alphabets, numbers, sentences as well as emergency words (conversion of images of hand gesture to text/audio). This proposed technique with data from various sources will aid to alleviate the communication gap between the deaf and mute people and others.

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Creative Commons Attribution 4.0 and The Open Definition

 Keywords

3D Convolutional Neural Network (3D CNN), Faster R-CNN (Faster Recurrent Neural Network), Indian Sign Language (ISL), Long Short-Term Memory Neural Network (LSTM), Sign Language Interpreter (SLI)

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Creative Commons Attribution 4.0 and The Open Definition