Volume 9 | Issue 5 |

 Abstract

Consumer attitude towards apparel purchase has rapidly changed, with the advent of online options. Now, customers can compare products available in different sites, add enough filters to match their criteria with reference to style, fabric, budget etc; all this from the comfort of their homes. This project is being conducted to better understand the behaviour of people who make clothing purchases through a digital interface. This research primarily focuses on factors influencing buyers when selecting apparel/fashion apps, understanding the most chosen digital medium such as shopping websites, apps, etc. and determining the factors that makes them buy - such as online ranking & analysis, review videos of fashion influencers, social media advertisements and so on. The shift in impulse buying behaviour due to digital marketing is also studied. According to the report, buyers shop digitally to save time, money and to reach a broader variety of products and services. Consumer's choice of digital channels does differ based on their age, gender and income level. Furthermore, there is a link identified between the ability of social media blogs and reviews to influence buying decision and gender and age.

Licence: creative commons attribution 4.0

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Creative Commons Attribution 4.0 and The Open Definition

 Keywords

digital marketing, consumer, online, review, impulse purchasing.

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Creative Commons Attribution 4.0 and The Open Definition

 Abstract

Licence: creative commons attribution 4.0

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Creative Commons Attribution 4.0 and The Open Definition

 Keywords

Education, Digital Education, Online Education, Information Technology

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Creative Commons Attribution 4.0 and The Open Definition

 Abstract

Licence: creative commons attribution 4.0

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Creative Commons Attribution 4.0 and The Open Definition

 Keywords

Microbial load, Volatile Organic Compounds, Sick Building Syndrome, Indoor Air Quality, Occupational Health Hazards.

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Creative Commons Attribution 4.0 and The Open Definition

 Abstract

Licence: creative commons attribution 4.0

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Creative Commons Attribution 4.0 and The Open Definition

 Keywords

Key words: Diabetes mellitus, Prediabetic, Fasting Blood glucose, Impaired Fasting Glucose

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Creative Commons Attribution 4.0 and The Open Definition

 Abstract

Licence: creative commons attribution 4.0

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Creative Commons Attribution 4.0 and The Open Definition

 Keywords

FIR, Police, Blockchain, Security, Cryptography, Security Attack.

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Creative Commons Attribution 4.0 and The Open Definition

 Abstract

Decision Tree classification is one of the most widely used machine learning algorithm in dozens of sectors due to its classification effectiveness and model interpretability. However, the voluminous training data and the inherent problem complexity are the two major factors that strongly influence the time and computational efficiencies of the decision tree classification models. As the complexity of the problem increases, the number of computations required to learn every significant pattern will also increase. These enormous computations upsurge the training time and necessitate extensive computing resources especially when the training dataset is huge. To analyze such voluminous and complex datasets at a rapid speed, the need to shift to parallel processing approaches is essential for lowering overall computational costs. In this scenario, this paper provides a comparative analysis of various parallel implementations of decision tree classification models in Apache Spark on three UCI big datasets namely SUSY, PokerHand, and RLCP. The performance exhibited by various parallel implementations is compared in terms of scalability, time complexity and classification performances.

Licence: creative commons attribution 4.0

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Creative Commons Attribution 4.0 and The Open Definition

 Keywords

Decision Tree classification, Machine Learning, Parallel implementation, Big datasets, Apache Spark.

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Creative Commons Attribution 4.0 and The Open Definition

 Abstract

Licence: creative commons attribution 4.0

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Creative Commons Attribution 4.0 and The Open Definition

 Keywords

Key words: threatened, locally rare, angiosperms, Sebhargog, Vadgam, Banaskantha

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Creative Commons Attribution 4.0 and The Open Definition

 Abstract

Mung bean is a low input, short duration and high value cash crop. Therefore, that fits very well in the rice-wheat cropping system of the Punjab and other states. There is a gap of 65 to 70 days for growing a crop after wheat and before the main rice crop plantation. . Less amount of fertilizer use in commonly on oil seed and pulses that have a higher sulphur demand per unit of pulses production than cereals. Generally, farmer using sulphur free fertilizer like DAP, Urea, MOP therefore sulphur deficient in soil. The correction of sulphur deficeinces, application of sulphur fertilizer 40 kg/ha increase height and branches per plant of green gram significantly and also application of sulphur was also reported to increase number and weight of root nodules in green gram use mostly,available in market sulphur as bentonite sulphur 90%, sulphur WP application this is effective sources it also improve soil ph and quality of vegetable and fodder crops.

Licence: creative commons attribution 4.0

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Creative Commons Attribution 4.0 and The Open Definition

 Keywords

Sulphur, Mung bean, Fertilizer, Yield

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Creative Commons Attribution 4.0 and The Open Definition

 Abstract

This Human Computer Interaction (HCI) has become one of the important projects in this new era and technology. Using the new technology many things have changed in this world, but there are still a few things which are still being used the same. One of the best examples one can give for this is the Computer System. A computer system in this era is still using the same computerized devices which were used before. But using HCI we can change these computerized devices by using the latest technology we have. This research work focuses on HCI using Hand Gesture movement for computerized devices like Mouse. Using this gesture, movement we will be eliminating the use of external and computerized hardware. We will be using free sources for development of the project and will be using the image processing and image acquisition process.

Licence: creative commons attribution 4.0

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Creative Commons Attribution 4.0 and The Open Definition

 Keywords

Human Computer Interaction(HCI), Hand Gesture, Image processing, Image Acquisition

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Creative Commons Attribution 4.0 and The Open Definition

 Abstract

This review discusses factors responsible for the texture of fruits and vegetables and the changes brought about by freezing. It describes some of the early work on frozen food texture, as well as the more recent studies of cryogenic and other rapid freezing methods. The effects of storage and cooking on texture are also considered. Food shelf-life extension is important not only to food manufacturers, but also to home refrigeration/freezing appliance companies, whose products affect food quality and food waste. While freezing and refrigerating both extend the shelf life of foods, food quality deterioration continues regardless of the preservation method

Licence: creative commons attribution 4.0

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Creative Commons Attribution 4.0 and The Open Definition

 Keywords

Keywords: Freezing, Food, Preservation, Vegetable

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Creative Commons Attribution 4.0 and The Open Definition