Volume 9 | Issue 5 |

 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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 Keywords

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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Creative Commons Attribution 4.0 and The Open Definition

 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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Creative Commons Attribution 4.0 and The Open Definition

 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

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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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Creative Commons Attribution 4.0 and The Open Definition

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

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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

 Keywords

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