Volume 12 | Issue 3 |

 Abstract

The estimation of changes in housing prices is often done through house price prediction Because location, area, and population are closely connected with housing price, more information is needed in addition to house price prediction to estimate the cost of a specific home. Many studies have used conventional machine learning techniques to predict home prices effectively, but they seldom address the shortcomings of particular models and often overlook the more sophisticated but less well- liked models. Therefore, this study will use both conventional and sophisticated machine learning techniques to examine the differences between several sophisticated models in order to examine the diverse effects of features on prediction methods. Additionally, a thorough validation of several model implementation strategies on regression will be provided in this study, with positive outcomes. As the purpose of literature is to extract meaningful information from historical property market data. Historical property is assessed with machine learning techniques. exchanges in India to find practical models for home sellers and purchasers. The large disparity between the most expensive homes' pricing is made clear. Furthermore, studies show that the Multiple Linear Regression method, which relies on mean squared error assessment, is competitive.

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Bangalore House price prediction, Machine learning

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Creative Commons Attribution 4.0 and The Open Definition

 Abstract

???? ????????? ???????????? ??????? ???????? ????? ?????. ??????? ???????. ??????? ??????? ???????. ?? ????? ????????? ??? ???????????? ?????? ???? ???????? ?????? ???????????? ???????? ????? ????? ??????????. ???????? ??? ?????, ???????? ??????????????? ???? ??????? ??????? ?????? ???????????? ???? ??? ??????????? ???????????. ????? ??????? ????????? ????????? ????????? ???????????? ???? ????????????????? ?????? ????????? ???????? ???????????. ??????? ?????????? ???????????? ???? ???? ??????? ??????????? ???????? ??????? ????????????. 1940 ???? ?????? ?? ?????????? ???? ??????? ????????????? ??????. ???????? ???????? ??????????? ????????? ?????????, ????? ??????????? ?????, ????????, ?????????????, ???????, ????????, ??????, ???????, ?????, ?????, ??????, ??????, ??????, ??????, ????????, ???????? ??????? ??? ?????????? ?????????????????? ?????????? ???????????. ? ????? ????????????? ????? ??????, ???????????. ??????? ?????????????? ?????????????? ????????? ????? ????????? ???????. ? ???????? ??????? ???????, ????? ???????, ???????? ??????? ????????? ??????????? ????? ?????? ??????????? ????. ??????? ?????? ????? ?????????? ? ??????? ?????? ?????????? ???????????????. ?????????? ??????? ?????, ???? ?????? ????????????? ????.

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???????????? ?????

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Creative Commons Attribution 4.0 and The Open Definition

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Multi-server authentication systems offer greater value through a single registration, and make it easier to access multiple services from trusted servers through a single agent Traditional registration methods often hinder users due to the burden of remembering multiple passwords from each service provider. Multi-server authentication simplifies this process by enabling real-time client authentication over public channels, increasing the availability of services. With the advent of more multi-server authentication protocols, education continues to search for more efficient and flexible authentication schemes. In this context, we offer anonymous authentication mechanisms designed to mitigate major security threats such as impersonation, insider attacks, and password compromise, all in place in a rational computing system Our approach uses the random oracle model for a more formal security evaluation, compared to existing protocols This comprehensive evaluation, which reveals better performance in terms of computing power, . in terms of communication and storage costs highlights the effectiveness of our proposed scheme in ensuring anonymity and encryption of users especially in multi-server scenarios plant.

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Secure Connections, Anonymity, Peer-to-Peer, Cloud Computing, Privacy Protection, Data Security, Distributed Systems, Confidentiality, Authentication, Trust Management

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Creative Commons Attribution 4.0 and The Open Definition

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Physical fitness is absolutely necessary for a beautiful and happy life. It is not possible for a sick person to complete any work successfully. So it is very important to acquire knowledge about physical education to achieve physical fitness. In ancient times the acquisition of knowledge related to the body was generally valued as physical education. Many times we say, the body is not feeling well, so we don't want to do any work. If the body is healthy, the mind is healthy, if the body is bad, one cannot concentrate on any work. Therefore, it appears that there is a close relationship between body and mind. The ancient adage of 'a healthy mind in a healthy body' has thus proved to be true for all time. Currently, physical education is the integrated achievement of the development of physical organs, mental development, control of emotions and social qualities. A student as a good citizen of the country by acquiring these qualities of physical education.

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Helth, Fitness, Physical, mental, Social, Physical activity, management, Prevention , field

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Creative Commons Attribution 4.0 and The Open Definition

 Abstract

?? ????? ?? ????? ?? ????? ??????????????? ?? ?????? ????????? ?? ?????? ?? ???????? ??????? ??? ?? ??? ??? ??????? ??????????? ?? ?????, ?????? ?? ?????? ??? ?? ???? ????? ??????? ???? ??? ?? ?????? ???? ?? ??????? ??????????? ?? ??????? ?????? ???? ?? ?? ??? ?? ??????? ???????? ??? ?????? ?????? ??? ?????? ??? ??????? ??????????? ?? ????????: ???? ??? ??????? ??????????? ?? ?????????" ?????? ?? ?? ??????? ?????? ?? ?????? ??????????? ??? ??? ?? ?????? ???, ???? ?????? ?? ??????? ??? ??????? ??????????? ?? ???????? ?? ???????? ???? ??, ?????? ???? ?? ?????? ??? ??????? ??????????? ?? ????????? ????? ???? ???? ?? ?????? ????????, ?????? ???????, ?? ???? ?????????? ?? ??? ?????????? ??????? ?????? ???? ?? ?? ?? ?? ??????? ???????? ?? ??? ????? ???? ???? ?????, ?? ???? ??? ??????? ??????????? ?? ????????? ?? ????? ??? ???? ????? ?? ???????? ?? ?????? ???? ??? ?? ???????? ?? ?? ?? ???????? ??? ????? ????? ??? ??? ?? ???? ????

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??????? ??????????? ( AI), ?????? ??????? , ??????????? ??? , ??????? ???????? , ???? (B.Ed)

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Creative Commons Attribution 4.0 and The Open Definition

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Moving target detection is a critical aspect in various fields such as video surveillance, autonomous vehicles, and military applications. This review explores the advancements and challenges in moving target detection with a focus on techniques based on edge extraction. Edge extraction plays a pivotal role in identifying and tracking moving targets by highlighting significant features in the image or video data. The paper begins by providing an overview of the significance of moving target detection in different domains and the role of edge extraction in enhancing the accuracy and efficiency of detection algorithms. Various edge extraction methods are discussed, including traditional techniques such as Sobel, Canny, and Prewitt, as well as more recent advancements like deep learning-based approaches. A comprehensive analysis of the strengths and limitations of different edge extraction methods is presented, considering factors such as computational complexity, robustness in different environmental conditions, and adaptability to real-time applications. The review also addresses the impact of noise, occlusion, and varying illumination conditions on the performance of edge-based moving target detection algorithms. Furthermore, the paper explores the integration of edge extraction techniques with other computer vision and image processing methods to enhance the overall moving target detection performance. It discusses the potential of combining edge information with motion analysis, object recognition, and machine learning algorithms to achieve more reliable and accurate results. The review highlights recent trends and emerging technologies in moving target detection, emphasizing the role of edge extraction in addressing contemporary challenges. Additionally, it identifies gaps in the current literature and suggests avenues for future research, such as the exploration of hybrid approaches and the development of edge-based algorithms suitable for dynamic and complex scenarios.

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Moving Objects, Canny Edge Detection, Motion Segmentation

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Creative Commons Attribution 4.0 and The Open Definition

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Artificial intelligence (AI) is revolutionizing the business landscape in India, enhancing customer experiences, optimizing campaigns, and driving economic growth. AI provides businesses with deep insights into customer behaviors and market dynamics. AI-driven tools like chatbots and virtual assistants enhance customer service, providing instant, 24/7 support. The implementation of AI is not only transforming business operations but also contributing significantly to India's economic development. The study highlights the importance of AI in business and its contribution to the economic growth and development of the nation.

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Artificial Intelligence, Business Sectors, Marketing, Financial Inclusion.

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Creative Commons Attribution 4.0 and The Open Definition

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In the dynamic landscape of the petrochemical industry, Hindustan Petroleum Corporation Ltd (HPCL) faces various financial challenges influenced by liquidity, leverage, growth, and size. This study aims to analyse the impact of these factors on HPCL's profitability. Drawing from existing literature, which highlights the significance of liquidity and leverage on profitability in various sectors, this study seeks to provide insights specific to HPCL's context. Through a comprehensive review of literature and empirical analysis, this study examines the relationship between liquidity, leverage, and profitability, considering data from 2019 to 2023. Using financial ratios including net profit ratio, gross profit ratio, liquidity ratios, and solvency ratios, the study evaluates HPCL's financial performance over the specified period. Findings indicate commendable profitability growth despite liquidity management challenges and an increasing reliance on debt financing. The study underscores the importance of optimizing liquidity levels, managing leverage prudently, and monitoring external market dynamics for sustaining HPCL's financial resilience. The research contributes to understanding HPCL's financial health and offers recommendations for enhancing its financial performance amidst industry dynamics.

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financial performance, profitability, liquidity, leverage.

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Creative Commons Attribution 4.0 and The Open Definition

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Tropical cyclone intensity estimation is considered to play a vital role in disaster management, accurate and timely estimation of Cyclone intensity is crucial for disaster preparedness and mitigation. The existing system solely relies on a deep learning approach CNN where developing real-time cyclone intensity estimation systems can provide critical information for disaster response and evacuation planning. This requires efficient model architectures and hardware optimization to achieve real-time performance. This project aims at utilizing infrared imagery from INSAT 3D satellite with hybrid models for cyclone intensity estimation, CNN-RNN offer a promising approach to improve cyclone intensity estimation accuracy and address the limitations of individual CNN models. This comprehensive system aims in advanced cyclone forecasting, offering precise predictions of cyclone intensity and associated risks by synergistically incorporating spatial and temporal information.

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 Keywords

CNN, RNN, INSAT, ResNet

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Creative Commons Attribution 4.0 and The Open Definition

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Values and positive attitudes are important aspects of the personality of individuals which influence their thoughts and behaviour; consciously and unconsciously. It is indispensable to develop such values in the students that make them become individuals of sterling character and a responsible member of society. The present study was an attempt to assess the values among the 10th grade students of CBSE schools in Mizoram and find the gender perspective on the values developed. The findings of the study revealed that the 10th grade students of CBSE schools in Mizoram had average level of social values, democratic values, moral values, national and patriotic values, secular values, human values, physical health values, environmental values, and economic values. However, aesthetic values were found to be low among the 10th grade students of CBSE schools in Mizoram. The study did not uncover any gender influence on social values, democratic values, moral values, national and patriotic values, secular values, physical health values, environmental values, economic values and aesthetic values. However, male students were discovered to have higher levels of human values than their female counterparts.

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 Keywords

Values orientation, 10th Grade, CBSE School Students, Gender perspective

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Creative Commons Attribution 4.0 and The Open Definition