Volume 10 | Issue 6 |

 Abstract

With the rapid urbanisation, space restrictions are becoming increasingly important in the case of tall structures. The wind produces gusts that cause the building to be influenced not just along the wind direction but also across the wind direction. In recent years, several architects have begun to use floating columns in their designs to embellish the cultural perspective. Because of variations in ground height, the shape's tension is discontinuous at the gentle story level. This discontinuity may cause structural collapse of structures beneath the effects of wind. In this study, identical static analysis of 3-D building frames of G+9 tales with floating columns, as well as tender-tale outcomes and exceptional infill cloth, were performed. A total of 12 instances were evaluated. Aside from the preceding situations, a basic case is established in which no memories are smooth and no columns are floating. There were nine load combinations to examine. The equal ground heights have resulted in soft narratives. The STAAD.Pro software package was utilised for analysis. The results are summarised in terms of maximum node displacements (resultant), maximum moments, maximum shear force, and maximum axial force. The results are evaluated in order to draw technical conclusions.

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 Keywords

Wind Loads, Soft Storey, Floating columns, Infill material, Design wind speed,

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Creative Commons Attribution 4.0 and The Open Definition

 Abstract

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Safety Aspects

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Creative Commons Attribution 4.0 and The Open Definition

 Abstract

MUJAFFARAPUR JILE MEIN MURAIL BLOCK KE RAJAKIY PRATHAMIK VIDHALAYO MEIN CHHATRO EVAN CHHATRAO KI VIDHALAY SAMBANDHI SAMASYAO KA ADHAYAYAN

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Creative Commons Attribution 4.0 and The Open Definition

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MUJAFFARAPUR JILE MEIN MURAIL BLOCK KE RAJAKIY PRATHAMIK VIDHALAYO MEIN CHHATRO EVAN CHHATRAO KI VIDHALAY SAMBANDHI SAMASYAO KA ADHAYAYAN

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Creative Commons Attribution 4.0 and The Open Definition

 Abstract

The Structural components in metallic structures subjected to mechanical loading as well as Thermal loading in severe environmental conditions experiencesthe different range of Temperatures.So the Steel Structures are predominant thermalloading apart from mechanical loading at the interfaces of the different metallic components at severe environment conditions. Those structures must also be constructed to withstand thermal loads. In order to design the component, thermal loading must be converted to its equivalent mechanical stress. For that, an empirical model proposed for thermal equivalency to mechanical stress using a Finite Element analysis interfacial fracture mechanics technique. The study's major goal is to use material properties to assess the impact of these loads on bi material interfaces based on releasing rate of energy. By usage of FRANC 2D programmer, we suggested a simple model for Thermal equivalence to mechanical stress using the finite element approach.

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Creative Commons Attribution 4.0 and The Open Definition

 Keywords

Franc 2D; Thermal Loading; Design Component; Thermal Equivalence;

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Creative Commons Attribution 4.0 and The Open Definition

 Abstract

Financial performance of panasonic private limited for five years 2014-2019 using ratio analysis

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Creative Commons Attribution 4.0 and The Open Definition

 Keywords

Panasonic private limited

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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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Creative Commons Attribution 4.0 and The Open Definition

 Abstract

There is no doubt that data is the new oil in the 21st century. Just like oil, data grows in value when refined. It offers tremendous potential for unravelling the mysteries of any data set and drawing valuable insights from it. When correctly assessed & addressed, these insights can lead to positive results. The purpose of this paper is to describe the meaning and characteristics of big data, as well as analyse the characteristics of consumer behaviour within the context of big data analysis. Based on the results, external factors and internal perception are major factors that affect consumer decision making, while big data impacts consumer perception through external factors.

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Creative Commons Attribution 4.0 and The Open Definition

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Consumer behaviour, Big Data, Business, Technology

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Creative Commons Attribution 4.0 and The Open Definition

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As the world is growing towards Internet-based digitalization over the social media, millions of articles are uploaded every second, and the Internet users are more keep on social media applications such as WhatsApp, Meta, Instagram, Twitter and other online applications. The aim of the project is to detect the Fake or Real News in online available articles. There are many news channels online, who are publishing the daily news and more people read online media as it has many benefits such as paperless, fingertip availability of news, Attractive headlines and colorful titles. The recent advancement of the online social media platforms has impacted the daily life of civilization. The people who are using the above online news platform should not get the fake news regarding, we need to identify the challenging solution that can detect the fake news. The application of the Project is detecting the fake news using Machine Learning (ML) and Deep learning (DL). The project uses two major algorithms namely Passive Aggressive Classifier and Adaptive Boosting Classifier (ABC) and Long Short Term Memory (LSTM). We have made the strong analysis and visualization on the dataset supplied. Our models are providing 95% & above accuracy. Finally we have developed the Web Application for the prediction of Forged and Actual news.

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 Keywords

Passive Aggressive Classifier, LSTM, TF-IDF, BOW, Flask-Web Application.

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Creative Commons Attribution 4.0 and The Open Definition

 Abstract

One of the most prevalent cancer forms, skin cancer has become more widespread in recent decades. It is critical to correctly diagnose skin lesions to distinguish between benign and malignant lesions in order to provide proper patient care. While there are various computerized approaches for classifying skin lesions, convolutional neural networks (CNNs) have been demonstrated to outperform traditional methods. We offer an hybrid CNN model for skin lesion categorization in this paper. We fuse an optimized pre-trained VGG-16 model with a pre-trained ResNet-50 CNN model to construct an hybrid model for skin lesion classification. In this work, we have used ISIC 2016-17 dermoscopic images to test the performance of the proposed hybrid CNN model. The proposed method achieves very good classification performance when tested on the ISIC Dataset, with an accuracy of 0.8565.

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Convolutional Neural Networks (CNN), Deep Learning (DL), ResNet-50, Skin Lesion, VGG-16.

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Creative Commons Attribution 4.0 and The Open Definition

 Abstract

Valuation is the analytical process of determining the currents worth of an asset or a company. Simply, valuation is the technique of determining the current market value of the property such as industrial, residential, commercial, agricultural land. Value is determined on basis of its selling price and rent or income it can fetch. The purpose of this is to introduce people with general field practice of valuation. This study covers the methodology verified by the government approved valuer and concerned field expert. The finding of this study is likely to have important implications in the valuation profession. This study directly introduces users with actual practice of valuation carried out in the field so that they can compare the theories and actual methodology. This study will result in stimulating debate and a realization of a need for a theory which supports a validated process of valuation.

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Creative Commons Attribution 4.0 and The Open Definition

 Keywords

Methodology, Industrial Property, Field practice, Valuer, Valuation, Market Value, Finance.

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Creative Commons Attribution 4.0 and The Open Definition