Volume 9 | Issue 5

 Abstract

Emotion analysis plays an important role in the modern life age. The details about what a consumer is experiencing as a reaction to a product or an advertisement are very important features. From response towards advertising to having an improved and customized user interface, needs a solution about the field of finding the user's emotional state. This paper aims at predicting the feelings, of a consumer. Without a question, a convolutional neural networks (CNN) model can be prepared to break down pictures and understand face feeling. we make a system that perceives understudies' feelings from their appearances. Our System consists of three phases: face identification using Haar Cascades, normalization, and emotion recognition using CNN with seven types of expressions.

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 Keywords

Customer facial expression, Convolution Neural Networks, Emotion recognition.

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 Abstract

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 Keywords

Bayes Estimates, Change Point, Life Time Model, Asymmetric Loss Functions, Length Biasedness, Weighted Weibull Length Biased Distribution.

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The project report entitled to a study on Financial performance of OIL AND NATURAL GAS CORPORATION LIMITED. The main objective of the study analyze the financial performances of the company. It is the process of identifying the liquidity, solvency, profitability and efficacy of firm. The various tools used for study are ratio analysis and comparative balance sheet and common sized balance sheet and efficiency trend analysis. Chart and tables are used for better understanding . Through ratio analysis the company could understand the liquidity, solvency, profitability and efficacy position of the company. The secondary data collected from records reports and profile of the company. The secondary data collected from records reports and profile of company. Now financial program of ONGC is progressing in near the future ONGC limited will become strong. I arrived at the conclusion that the financial performances of ONGC limited is good.

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 Keywords

ratio analysis, compartitve, common sized balancesheet

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 Abstract

Digital marketing is playing important role in society and influencing people. Digital marketing has changed the way of purchasing, people are showing more interest in digital marketing if compare with traditional methods of buying product, it means some factors are influencing people for buying a product through digital platform and changing the preference of customer for buying a product through digital platform. So some factors are changing the preference of customers. In this research paper these factors will be identified and will check how these factors are changing the way of buying. In other words how people are shifting from traditional way of buying to digital way of buying. At present no need to go at any store physically, customer can buy any product through digital platform, which save the time and money of customer and also during covid-19, people can follow the rule of social distancing and safety precautions. Through this research paper we check the impact of factors like safety, social distancing, quality of product, price, easy availability of product, comparison options, credit options and psychological factors on customer.

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 Keywords

Digital marketing, preference, influencing factors.

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Creative Commons Attribution 4.0 and The Open Definition

 Abstract

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 Keywords

medication, old age, diabetes, patient, reminder

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Creative Commons Attribution 4.0 and The Open Definition

 Abstract

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Creative Commons Attribution 4.0 and The Open Definition

 Keywords

Islanding detection ways, Distribution Generation, Negative sequence current, Micro-grid, passive parameter, Renewable energy

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Creative Commons Attribution 4.0 and The Open Definition

 Abstract

According to the Global Climate Risk Index 2021, India was the 7th most affected nation by climate change. The brunt of climate change has been evident in a monsoon driven country like India, in the way of growing unpredictability in rainfall, rise in annual median temperature, irregular flooding and frequent droughts. In comparison, while the United States of America happens to be the 2nd greatest emitter of carbon dioxide, it did not feature in the Global Climate Risk Index 2021, indicating an enhanced resilience to the climate change phenomena. This study aims to assess the impact of this phenomena on India and draw comparisons with the United States to suggest policy measures and steps that can create a more climate change resilient and sustainable economy for the developing nation.

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 Keywords

Climate Change, Sustainability, Pollution, Regional Development, Externality

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 Abstract

Abstract: The antibacterial and antifungal activity of the aqueous, ethanol, methanol, dimethyl sulfoxide and acetone extracts from the stems of Tinospora cordifolia creeped on different trees and its independent creeper on fences was studied using disc diffusion method against Bacillus subtilis, Enterobacter faecalis, Streptococcus mutans, Pseudomonas aeruginosa and Candida albicans. Results suggest that the stem extract has antibacterial activity against tested bacteria and fungus. The present study justifies the claimed uses of Tinospora cordifolia in the traditional system of medicine to treat various infectious diseases.

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 Keywords

Antimicrobial activity, Tinospora cordifolia, Inhibition zones, secondary metabolites, Infectious diseases.

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Creative Commons Attribution 4.0 and The Open Definition

 Abstract

Today, social media is one of the most popular and widely utilized forms of communication. People currently utilize social media to interact with one another all around the world. People have been using social media to discuss their experiences in recent years. This also includes experiences using a product or service or platform. These product reviews posted by social media users are read by thousands of people every day and they have become a source of influencing consumer buying behavior. Organizations have started to use social media to sell their products and services after realizing the value of this medium. Social media is being used today to effectively market products and services and to attract a wide demographic of audience. This paper aims at identifying how different aspects of social media can impact consumer buying behavior.

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 Keywords

Social media marketing, consumer behavior, social media

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Creative Commons Attribution 4.0 and The Open Definition

 Abstract

Cancer is an extensive global and universal disease nowadays which pretends to be the utmost cause for a large impermanence rate among men and women every era. Approximately 80-85% of the people who get affected by cancer are being succumbed to death. Recognition of cancer at the first stage is the only aspect in front of us to give proper treatment. Among numerous types of cancers, lung cancer is a very fearful and complicated one. Lung cancer means the growth of tumor cells briskly and having chances of spreading those cancer cells to other organs which in turn damaging other normal tissue cells of the body. Noticing tumor prematurely can help to cure the disease completely and it becomes pivotal to find out whether the tumor has been changed to cancer or not, if the prognostication is made at an initial stage, then countless lives that are at risk could be rescued and accurate prediction can help the doctors to start their treatment at the earliest. In this paper, we have proposed a simple, easy, and precise method for accurate prediction of the stage of cancer using CT images of the lungs in Image processing. For this process, a CT image will be considered, and then the image will be pre-processed for noise removal. Further segmentation is done to identify and separate desired tumor nodule and extraction of morphological features such as area, perimeter, eccentricity, and diameter is carried out under feature extraction. Finally, the classification of lung cancer into different stages based on the size of tumor results has been proposed using MATLAB which is more accurate and less time-consuming when compared to other lung cancer prediction systems. The method proposed in this paper to detect a tumor in the lungs is simpler when compared to applying other difficult algorithms.

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 Keywords

Lung cancer, Impermanence, pivotal, briskly, prognostication.

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Creative Commons Attribution 4.0 and The Open Definition

 Abstract

Traffic grouping is generally utilized in different organization capacities, for example, programming characterized ,systems administration and organization interruption location frameworks. Many traffic arrangement strategies have been proposed for characterizing encoded traffic by using a profound learning model without investigating the bundle ,payload. Notwithstanding, they have a significant test in that the system of profound learning is mystifying. ,A breakdown of the profound learning model may happen if the preparation dataset incorporates malevolent or incorrect ,information. Logical man-made brainpower (XAI) can give some knowledge for improving the profound learning model ,by clarifying the reason for the glitch. In this paper, we propose a technique for clarifying the working .system of profound learning-based traffic arrangement as a technique for XAI dependent on a hereditary calculation. We depict the component of the profound learning-based traffic classifier by evaluating the significance ,of each component. Likewise, we influence the hereditary calculation to produce a component choice cover that ,chooses significant highlights in the whole list of capabilities. To exhibit the proposed clarification strategy, we executed a profound learning-based traffic classifier with an exactness of around 97.24%. In expansion, we present the significance of each component got from the proposed clarification strategy by characterizing the strength rate.|

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Traffic classification, deep learning, explainable artificial intelligence (XAI), genetic algorithm.

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Creative Commons Attribution 4.0 and The Open Definition

 Abstract

The present study covers a wide spectrum of issues involved in the marketing of high yielding and hybrid seeds in the study area. The interrelated aspects of marketing of seeds have been performed by the farmers and the concerned seeds companies. The assured market and better price for the hybrid seeds were the compelling factors for starting the seed farming as asserted by all the farmers. The market is assured since the seeds companies enter into an agreement with the farmers for purchasing all their seed. Similarly price of the hybrid seeds is much better than the other seed. Hence price incentive has been another factor for inducing the seed farmers to go into the seed farming as an alternative to traditional agriculture. As per pre agreement of seed companies brought raw seeds from farmers. After buying raw seeds company following many marketing dimension in there level. This study has focused on the strides made in marketing of hybrid and high yielding varieties of seeds in Haveri district of Karnataka. The study has led to some significant findings and conclusions which have been summarized here to provide a brief comprehensive picture of the research findings on the subject.

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 Keywords

Hybrid seeds, Marketing dimension, & Quality stipulations.

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Creative Commons Attribution 4.0 and The Open Definition

 Abstract

The spread of the SARS-CoV-2 led to an unprecedented economic shock which turned into a global economic downturn. The pandemic had an immediate and adverse effect on trade globally. The impact of covid 19 on trade globally was prominent in Q1 2020, when almost all economies experienced negative trends, these trends were observed because to control the spread of the virus, the world had to depend on non pharmaceutical interventions as a community mitigation strategy due to the non availability of effective pharmaceutical interventions like vaccines. Initially when the virus spread in China, the supply chain of ASEAN countries were disrupted and demand froze which limited the flows of trade. Further, as the virus spread from China to Southeast Asia, there was an immediate interruption in economic activities in the region due to the measures that had to be taken to contain the spread of the virus. This paper aims to study the impact of Covid 19 on trade of Southeast Asian economies ( ASEAN countries )

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 Keywords

International Trade, Exports, Covid 9, ASEAN

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Creative Commons Attribution 4.0 and The Open Definition

 Abstract

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Creative Commons Attribution 4.0 and The Open Definition

 Keywords

Electronic commerce, sustainability, commercial trade.

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Creative Commons Attribution 4.0 and The Open Definition

 Abstract

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Creative Commons Attribution 4.0 and The Open Definition

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Environment friendly material, sustainable environment, fashion trends

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Creative Commons Attribution 4.0 and The Open Definition

 Abstract

The success of an organization may be based on its dedication and devotion towards meeting its goals and objectives. The sudden outbreak of Covid-19 pandemic has appeared as a challenge for various organizations all over the world. This pandemic has given an opportunity to tackle the situation with zeal and enthusiasm and keep motivating the workforce so that they can be updated to take up the future challenges. To conduct competency development programs for employees working from home has become truly important for organizations to keep themselves abreast with the chronic situation. The competency development programs in normal course of action are completely different and simple to be followed while in case of online programs the process is bit complicated to be pursued smoothly with efficiency. Thus the purpose of the research is to identify the coherence of organization objectives with its participation in competency development programs. Moreover also to identify the level of determination which is displayed during this tough times, and innate need of developing employees and improving their skills in order to keep them motivated towards the current as well as upcoming future projects.

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 Keywords

Competency development programs, Covid-19, Organization, work from home

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Creative Commons Attribution 4.0 and The Open Definition

 Abstract

The simple access and remarkable development of the data accessible via web-based media networks has made it complex to recognize bogus and valid data. The simple scattering of data by method of sharing has added to remarkable development of its adulteration. The believability of online media networks is likewise in question where the spreading of phony data is pervasive. Accordingly, it has become an examination challenge to consequently check the data viz a viz its source, substance and distributer for classifying it as bogus or valid. AI has assumed an imperative part in order of the data in spite of the fact that for certain limits. This paper surveys different Machine learning approaches in discovery of phony and created news. The restriction of such and approaches and spontaneous creation via executing profound learning is additionally checked on.

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 Keywords

Fake News Detection, One-Class SVM

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A STUDY ON THE GENDER EQUALITY: A STUDY ON RAJASTHAN AND KERALA

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Low cost design, median filtering, sorting networks, stochastic

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Creative Commons Attribution 4.0 and The Open Definition

 Abstract

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Creative Commons Attribution 4.0 and The Open Definition

 Keywords

medication, old age, diabetes, patient, reminder

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Creative Commons Attribution 4.0 and The Open Definition