Volume 11 | Issue 2 |

 Abstract

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film, film appreciation, media usage habits, correlation analysis

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Image mining finds useful information in large image datasets. Data mining, digital image processing, machine learning, image retrieval, and AI underpin image mining. Image mining extracts hidden data and patterns from images. Two key issues might arise while mining gathered images: first, the image must be acceptable for mining, and second, the image's selected items and characteristics must be processed to retrieve the most effective way to save time and effort. This research describes the image mining technique and classifies breast cancers using image mining. In addition, a generic scheme is provided to complete the procedures and analyse the current malignancy classification methodologies compared to training groups and accuracy. The report also compares current relevant publications. Deep convolutional neural network accuracy was reported at 98%. (DCNN).

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Creative Commons Attribution 4.0 and The Open Definition

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Data Mining, Image Mining, Breast Malignancy, Image Classification

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Creative Commons Attribution 4.0 and The Open Definition

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A cryptocurrency is a type of digital money which is based on the blockchain technology. This can be moved using digital address. To combat circumstances of inflation and deflation, the central bank and government of the nation manage currencies. These coins are used outside of the typical banking institutions. These are run on the market with no restrictions. Many nations around the world are now focusing on using digital currency and its transactions. This leads to more innovation in the field of new money, particularly in the field of cryptocurrency, one of the most cutting-edge, unclear, and unregulated currencies. I tried to learn about cryptography in this article, and its development and future prospectus in India. This paper shows the growth and future of the currency in India.

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Cryptocurrency , Digital money , Block chain technology , Digital address

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Mergers and acquisitions have been the most common means of inorganic corporate expansion for years. It is widely used in restructuring business organizations. Companies make mergers and acquisitions based on strategic business motivations that are inherently economic. This research study seeks to assess the pre- and post-impact financial performance of an acquiring company. This is done by comparing the pre-and post-merger performance of the acquiring company and the impact of his Covid-Pandemic on that merger. We will also consider the firm's impact if again covid pandemic happens in the year that affects the company. As part of our analysis, we use the two tower infrastructure businesses Bharti Infratel Ltd. and Indus Towers Ltd. Following the merger's announcement in 2018, the procedure was finished on November 19, 2020. The combined business's paid-in capital increased to Rs. 26,99,369,500. Vodafone Idea exited the market by selling its 11.15% share in Indus Towers Ltd. for Rs. 3760 million euros. The newly combined business was named Indus Towers Ltd. and is traded on the BSE and NSE stock marketplaces.

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Merger, Acquisition, Pre, Post, Operating, Performance, Covid effects, Telecom Sector

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As a result, AI methods are rapidly being applied to healthcare issues. In recent years, scientists have employed deep learning methods to categorize the severity of Chikungunya infection. Overfitting and hyper-parameter tweaking are problems that arise when using these methods, though. Methods: In this study, we propose a cyber-physical system (CPS) powered by artificial intelligence for determining how severe cases of Chikungunya are. Computational algorithms are combined with the CPS system's physical components to improve performance. Random forest is used to create a model for determining how severe cases of Chikungunya sickness are (RF). Overfitting and slow computing are problems plaguing RF, however, because of its complicated design and huge number of connection weights. Thus, we propose a genetic method with adaptive crossovers to be used in a developing RF model (ACGA). ACGA has the ability to effectively optimize RF design, leading to improved outcomes and increased computing speed. Multiple tests are run on the Chikungunya illness dataset. To sum up, the examination of performance reveals that ACGA-RF is superior to competing models in terms of F-measure, accuracy, sensitivity, and specificity. Patients who reside distant from hospitals will still have access to medical care according to the CPS proposal.

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Machine Learning, Random Forest, Logistic Regression, Decision Tree, adaboost, ML techniques, e-learning, evaluation

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Maize crop is grown in most of the states in India as it can be cultivated in various geographical locations. Maize is cultivated for various purposes including grain, fodder, sweet corn, etc. The secondary data on area and production of maize crop along with the weather parameters of Karnataka was collected for the period of 30 years from 1991 to 2020. In this study an attempt has been made to elicit the trend in area and production of maize along with the forecasting of production of the above crop. Further an attempt has been made to know the impact of area and weather parameters on the production of maize crop. Trend analysis was performed by fitting different models such as linear, quadratic, cubic, exponential models and Generalized additive model (GAM). Based on the maximum R2 value best fitted model was selected. Exponential and GAM was best fitted for production (49.3%) and area (95.1%) of maize crop respectively. Production of maize crop was forecasted for the period of 5 years from 2021 to 2025 using Exponential model.

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Maize crop ,Area of production Yield per Acre

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Creative Commons Attribution 4.0 and The Open Definition

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Diketimines 2-bromo-4-fluoro benzaldehyde actylacetone (bfacac) p-nitro aniline UV-Vis, IR and CV studies

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Nanoparticles are frequently used in a variety of scientific and engineering disciplines worldwide. By using particle size, nanoparticles are used to quickly deliver a material to a particular place. The fabricated silver nanoparticles were verified by UV spectroscopy, DLS, FTIR, and SEM studies. The characterizations confirmed that the fabricated material was nanoparticles, and two bacteria species, S. aureus and E. coli, were used in the tests to determine silver nanoparticles antibacterial potency. The establishment of anti-bacterial zones demonstrates the ability of the produced nanoparticles to stop the growth of E. coli and S. aureus. This study concludes that the silver nanoparticles have the ability to inhibit the growth of microorganisms like E. coli and S. aureus.

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Silver nanoparticles, Antibacterial, SEM, FTIR, DLS, E. coli, S. aureus.

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In this Modern era, the world is moving at a very fast pace, and the people are looking for the factors or alternatives which can make them achieve financial wellbeing which ultimately will lead to overall personal wellbeing. So my research is to know about the factors which impact, influence and are responsible for achievement of financial as well as personal wellbeing, so it took the variables which are influencing the financial behavior and pattern of the people, for this we need some of the factors which help to prove financial wellbeing of people. So, we find nine factors from this we made a questionnaire, and we collected the responses from the people who are our respondents. This output helps us to find the dependent variable and try to prove the financial and personal wellbeing. Based on the dependent variable, we made a model to prove the financial and personal wellbeing, and this can help us to create the financial decision and planning for the people.

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Financial Behavior, Financial Literacy, Financial Satisfaction, Financial Stress, Materialism, Financial Wellbeing, Income Security, Demographic

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The Indian education sector is undergoing a sea change in the recent past. The focus is shifted from the public sector to the private sector providers in higher education. The Government is come with a number of regulations and targeted the private sector investments in education. So far India is not committed to open the education sector under the WTO negotiations and GATS. However the government is all set to introduce a law for the regulation of foreign universities in the country. This paper mainly analyzes India's policies and investment since independence in 1947 in the first part. The second part looks into the question where do we want to go in the next 20 years. The third part suggests some ways to achieve the goals

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Influence of Digitalization in the Growth of Education sector in India and it's acceptance among students"

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Creative Commons Attribution 4.0 and The Open Definition