Volume 10 | Issue 5 |

 Abstract

Using related images in conjunction with an image-based gateway is used for searching the data. It is possible to retrieve the massive of images on the web because many the images are holding without named captions on a variety of websites. It is quite easy for the users to inspect the images in accordance with their requirements. In the sense that a significant number of users are unable to recover the relevant images as a result of their failure to anticipate the appropriate inscription on their images. Based on the quality of the images, it is our responsibility to bring out a self-regulating image caption. First, the details/objects of a picture can distinctly understand, and then it will be represented by a phrase or declaration that is consistent with the grammatical rules that govern the semantic information contained in the image. Because of this, methods for combining computer vision and natural language processing are required in order to join the two distinct types of media together, which is extremely challenging. The paper aims to produce mechanized inscriptions by learning the contents of an image and applying that knowledge. Now, images are clarified only through the intervention of humans, and this proves to be an almost unthinkable task for massive databases. To contribute to a deep neural network, the picture information base is provided. A Convolutional Neural Network (CNN) works like an encoder which is used to generate a caption that extracts the best part or required part from our image, and a Recurrent Neural Network (RNN) works like decoder which is used to translate the extracted highlights from given image in order to obtain a sequential and meaningful description of the image.

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Creative Commons Attribution 4.0 and The Open Definition

 Keywords

Traffic dataset, Deep Learning, Image captioning, CNN, RNN

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Creative Commons Attribution 4.0 and The Open Definition

 Abstract

The machine learning-based handwritten digit identification system suggested in this research study is a model that can be used to detect and recognize digits written by a user on an editable canvas widget inside a Graphical User Interface (GUI). This research article describes handwritten digit recognition systems in depth, our strategy to creating one, and analyzes the accuracy of several machine learning methods that may be used to create such systems.

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Creative Commons Attribution 4.0 and The Open Definition

 Keywords

Handwritten Digit Recognition, GUI, Machine Learning Algorithm, Handwritten Digit Recognition System, Accuracy, Convolutional Neural Network, Support Vector Machine.

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Creative Commons Attribution 4.0 and The Open Definition

 Abstract

Blockchain is emerging as a technology with multiple benefits in all possible sectors and domains. Supply chain is not exception of it. Trust, integrity, security all this can be introduced in supply chain using blockchain. Trust based traditional supply chain has many disadvantages and difficult to manage all stakeholders. IoT and blockchain together can help industries to establish secure, immutable, transparent supply chains. All stakeholders can track the records and no-one will own the data. Even list of benefits is still growing but implementation rate is quite less. This is because of less understanding of technology and not knowing what difference it will create after implementation. In this paper we will discuss multiple approaches to manage transparency in supply chain. From traditional to blockchain based solutions, how it can impact in sectors like healthcare, agriculture, eCommerce, food-processing. We will check problems in current supply chain and possible solutions using technologies like blockchain and IoT. This article will help people from various sectors to understand how technology can change overall system by keeping functioning same and how it can improve the efficiency.

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Creative Commons Attribution 4.0 and The Open Definition

 Keywords

Blockchain, Supply-Chain, IoT, Traceability

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Creative Commons Attribution 4.0 and The Open Definition

 Abstract

Image captioning is the process of generating textual information about an image. Nowadays it is attracting more and more attention, as it is a newly emerged research area. To accomplish the goal of image captioning, semiology information of images needs to be recorded and conveyed in natural languages. Both Natural Language Processing and Computer Vision are used to generate the captions, so it becomes a quite challenging task. Numerous techniques have been proposed to tackle this problem. In this paper, we present a survey on different approaches in image captioning research. Based on the techniques and models adopted, we classify image captioning. In this paper, we first drew attention to methods used earlier, and then we focus our main attention on neural network-based methods and used models, which give state-of-the-art results.

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Creative Commons Attribution 4.0 and The Open Definition

 Keywords

Image captioning, Attention mechanism, Deep Learning, Encoder-decoder framework, Multi-Task Learning

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Creative Commons Attribution 4.0 and The Open Definition

 Abstract

India and the world saw its biggest disruption in the financial economy since the financial crisis of 2008 because of Covid 19. The Indian stock exchange is a very important component of the Indian financial system. The purpose of the paper is to study the behaviour of retail investors in India post covid 19. The paper tries to examine the changes and analyze the reasons for this change.

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Creative Commons Attribution 4.0 and The Open Definition

 Keywords

Retail Investor, Stock market, Foreign Institutional Investors

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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

Machine learning, heart disease prediction, prediction Model, classification algorithms, cardiovascular disease.

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Creative Commons Attribution 4.0 and The Open Definition

 Abstract

In this paper, you have been told that what is ultrasonic pulse velocity testing, how many methods are there, how it is done, how crack depth will be calculated and how the test condition is affected with methodology.

Licence: creative commons attribution 4.0

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Creative Commons Attribution 4.0 and The Open Definition

 Keywords

Non-destructive testing , Ultrasonic testing of RCC Structure , Ultrasonic pulse velocity test , Crack depth

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Creative Commons Attribution 4.0 and The Open Definition

 Abstract

The purpose of this presentation is to demonstrate the impact of social media on customer decision-making. Advertisers have turned to web-based social networking to engage buyers because they have little control over the content, timing, or frequency of online interactions among customers. Social media has revolutionised the way businesses use computers over the last few years online, and as a result, social media marketing has earned its own identity in the business world. There are numerous online social networking platforms that influence customer behaviour. Like Google+, LinkedIn, and YouTube, for example. Nowadays, practically all ages of consumers use social media, including college students, working-class individuals, and even the elderly. In today's world, social media has evolved into a powerful tool that consumers can utilise to make purchasing decisions. Consumers' lives have been altered by technological advancements. Because we live in the twenty-first century, it is quite difficult for consumers to devote time to acquiring a product due to their hectic schedules. Consumers can obtain information not just about firms, but also about the companies, using Social Networking Sites. Even social media is assisting consumers in purchasing products through participation, which means that consumers and other stakeholders such as companies, consumers, society, and businesspeople are players rather than spectators. As a result, consumers have the option to alter their minds before purchasing any product through the internet. This is my take on how social media might impact buyers' buying decisions.

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Creative Commons Attribution 4.0 and The Open Definition

 Keywords

Consumer, Consumer Behavior, Marketing, Consumer Decision Process, Purchase, Online Sites.

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Creative Commons Attribution 4.0 and The Open Definition

 Abstract

Sign language is used by deaf and hard of hearing people to share information with their community and others. Electronic recognition of sign language deals from signaling to touch and continues until text to speech production. Touch gestures can be classified as permanent and flexible. Yet vertical touch detection is easier than recognizing dynamic touch but both awareness systems are important in human society. Steps in recognizing sign language are described in this study. Data acquisition, pre-processing and modification of data, feature extraction, segmentation and obtained results are assessed. Other future research guides in the area also suggested.

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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

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