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Housing policy in developing economies: The importance of regulation

The financialization of housing is defined as the phenomenon in which housing is treated as a commodity such that it is a vehicle of wealth and investment rather than a social good and basic human right. While the financialization of housing itself can be seen as the product of financial innovation and economic development, it has also become an object of speculation and irrational exuberance in the form of market bubbles and social friction, which excludes disadvantaged members of society from benefiting from this expansive growth, oftentimes marginalizing these communities further. This paper aims to assess the importance of regulation and housing policy in developing economies as a means of controlling the financialization of real estate markets.

Published by: Adit Jacob

Author: Adit Jacob

Paper ID: V8I2-1308

Paper Status: published

Published: April 26, 2022

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Research Paper

Mobile app for location-based offers

This application is based on offers based on restaurants deals.

Published by: Saloni Yadav, Darshana Hindole, Ashwini Waje

Author: Saloni Yadav

Paper ID: V8I2-1324

Paper Status: published

Published: April 25, 2022

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Research Paper

Analytical and Systematic Study of Artificial Neural Network

Artificial Neural Network may be a neural network motivated by the biological neural network where numbers of neurons are interconnected with each other. The neurons in artificial neural network are operating and arranged in such a way that they invigorate the basic construction of the neurons within the human cerebrum. the basic rationale behind the factitious neural network is to implement the structure of the biological neuron in an exceedingly way that the regardless of the function that the human brain perform with the help of biological neural network, that thusly will the machines and frameworks can likewise perform with the help of artificial neural network. This paper gives a concise outline of a man-made neural network with its working, architectures, and general organization, and so forth. This paper additionally express some advantage and disadvantage , application of the artificial neural network in some most vital areas like image processing, signal processing, pattern recognition, function approximation, forecasting supported the past data and a few more.

Published by: Shreyas Barge

Author: Shreyas Barge

Paper ID: V8I2-1321

Paper Status: published

Published: April 25, 2022

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Research Paper

Leveraging a convolutional neural network for developing a hand-written text recognition system

The explication revolving around the digital outlook of Hand-written Text has been carried out widely with the upsurge of Technological Advancements in the field of Artificial Intelligence. Automation in daily chores has made human life more consistent and yet stable. Machine Learning and Deep Learning modus operandi has been actuated for contemplating the automated outlook. Hand-written Text Recognition has been a well-scrutinized domain wherein the incorporation of different paradigms of learning has been elucidated. The escalation into the digitization of almost everything necessitates the prevalence of the same in assuaging the Text Recognition System as well. In this articulation, we’ve consummated Convolutional Neural Networks (CNNs) i.e., 03-Layered, 04-Layered, and 05-Layered Convolutional Neural Networks (CNNs) which are trained over Hand-written Characters which include Alphabets (A-Z), Digits (0-9) and widely utilized Symbols and thereby detecting the Text from a Dataset of diverse Hand-written words consisting of Names and Surnames. The proposed Hand-written Text Recognition System is structured in the Offline method, as the scarcity of proficient outcomes revolves around it when compared to Online prospects. The proposition also gave us a comparative insight into the impact of layers in models. The efficacy we achieved was phenomenal, which gave us a potent resolution for contemplating it in real-time.

Published by: Likith Pulluri, Yashwanth Konakanchi, Divya Prabha, Asima Nayak, Pradeep Kumar Mishra

Author: Likith Pulluri

Paper ID: V8I2-1319

Paper Status: published

Published: April 23, 2022

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Research Paper

Solar power plant with MPPT algorithm

This Document presents the Solar Power plant with the MPPT algorithm. The increase in usage of Electrical energy has encouraged the growth of different types of conventional power generating systems like hydroelectric, thermal, wind, solar, nuclear, geothermal, etc. In this project, we developed solar panels with the MPPT algorithm to operate the photovoltaic modules in a manner to extract the maximum power from the system. This method can increase the tracking efficiency.

Published by: M. Divya

Author: M. Divya

Paper ID: V8I2-1314

Paper Status: published

Published: April 23, 2022

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Research Paper

Visitor information management and analysis system: Neeri-pass

The visitor entry system is designed to close the visitor registration center and visitor information management services, it will be able to speed up the visitor registration process, determine who is on the premises after the meeting and inform the system. This is a review paper in which the system solves the problem of appointments and it electively captures all-relevant information about the visitors and that information is recorded in the centralized database server, which provides data management and manipulation through searching for future purposes in the organization. The benefits of the Visitor Gate pass Management System are enhancing the level of security enforced on-premises, providing an organized view of visitor records, and reducing the time spent on managing visitor information.

Published by: Barkha Ramteke, Dr. Sonali Ridhorkar

Author: Barkha Ramteke

Paper ID: V8I2-1316

Paper Status: published

Published: April 23, 2022

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