Volume 10 | Issue 5 |

 Abstract

With the rapid advancement of technology and data, the healthcare domain is one of the most significant study fields in the contemporary era. The enormous amount of patient data is tough to manage. Big Data Analytics makes it easier to manage this information. There are numerous ways for treating various ailments all throughout the world. Machine Learning is a new approach that aids in disease prediction and diagnosis. Machine learning is used to predict disease based on symptoms in this article. On the presented dataset, machine learning algorithms such as Naive Bayes, Decision Tree, and Random Forest are used to predict the disease. It is implemented using the Python programming language. The study demonstrates which algorithm is the most accurate. The performance of an algorithm on a given dataset determines its accuracy.

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Creative Commons Attribution 4.0 and The Open Definition

 Keywords

Heart, Disease, SVM Algorithm, Accuracy,

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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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bruhana,shaman,santarpan,apatarpan,shaman,langhana

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Creative Commons Attribution 4.0 and The Open Definition

 Abstract

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???????? ????????, ??0??0??0 ??? ??????? ??0??0??0 ?????????? ???????, ????? ???????? ??? ?????? ???????????

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Creative Commons Attribution 4.0 and The Open Definition

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To identify the major causes of delays in construction projects in India; the major causes of delays in this research study were investigated following data collection carried out through a questionnaire survey with a wide range of construction professionals based in Metro Projects. The findings from this research determined the major causes of delays based on an importance index, and the main conclusions from the output of the data could help the construction sector to better assess not only the major causes of delays on construction projects but also how to minimize them by proper planning. There may, however, be opportunities for safer working practices arising from a new awareness of health, hygiene, and safety risk. The role of safety leadership is overlooked in guidance yet is vital to ensure safe the application of working practices. In the present scenario, apart from addressing the increased requirement Delay factors can be minimized by proper decision-making throughout the construction process but further research is required. This could include research into the communication of decisions, the content of training programs for construction site managers, the value of apprenticeship schemes to provide a more skilled workforce, the possibilities of greater use of pre-cast materials, etc. this study identified the causes of delays on construction projects in India during a pandemic. As metro projects are much essential part of the city, it needs to be completed at the earliest for public benefit. Almost all metro projects in India are facing delays. Delay is generally considered the most common, complex, and risky problem encountered in construction projects. Most construction projects in developing countries are characterized by overruns in time. All projects, regardless of size and complexity are burdened by deadlines and uncertainty. Delays occur in every construction project and the magnitude of these delays varies considerably from project to project. This research carries out a detailed review of the previous studies on the time and cost overrun factors.

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Keywords- Delay, Metro, Cost, Time, budget, Management, Risk Management, Planning, Quality, Schedule

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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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Internet of Things, Automation, Voice Commands, Blynk App.

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Creative Commons Attribution 4.0 and The Open Definition

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The High-Performance Liquid Chromatography (HPLC) Technique is useful to distribute the component from the mixture. Chromatography is used in all research laboratories and pharmaceutical industries universally. This review article focuses on the principle, Techniques, application of HPLC. The objective of this review article shown the different types of techniques involved in HPLC.

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Creative Commons Attribution 4.0 and The Open Definition

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HPLC, Analysis, Detection, Identification, Quantization, Chromatography.

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This research explores how Nonfungible Token (NFT)s is spreading throughout the market.NFTs have the potential to invade all of our lives from education to sports nfts is in the play now. The outcome of this research highlights the current trend , history and the future potential this holds.

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Non-fungible Tokens ,Opensea,counterparty,cryptopunks, ethereum ,cryptokitties.

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Creative Commons Attribution 4.0 and The Open Definition

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The impact caused by Virtual learning on students is huge and it disturbed their enthusiasm towards being active in listening and learning with zest. The teachers are also struggling to juggle the students who are emotionally unstable which creates a lot of problems and quarrels among teachers and students, student and student and etc. Apart from emotional disorders, lack in learning ability will lead to create gap in up skilling. Thus, this study aims to understand the impact of virtual learning on students of various colleges and universities of Tamil Nadu. The researcher collected primary data from 72 samples through structured questionnaire. Convenient sampling was implemented. The researcher adopted percentage analysis and concluded the findings with recommendations to overcome the negative impact created due to virtual learning.

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Creative Commons Attribution 4.0 and The Open Definition

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Key words: Attitude, Behavior, Emotional stability, Virtual Learning, Students, Online and Offline class.

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Creative Commons Attribution 4.0 and The Open Definition

 Abstract

A study of I-girder with same cross-section, same number of support and same number of intermediate diaphragm but with 4 different support configurations is done. Commercial available software STAAD PRO has been used to carry out linear analysis of these I-girder bridges. Grillage method of analysis has been used to analyze the bridges. The linear analysis has been carried out for the dead load (self-weight) and live load of Indian Road Congress (IRC) class 70R LOADING, CLASS A1 LOADING, CLASS A TWO LANE AND CLASS A FOUR LANE for eccentricity loading as per IRC is done. The paper presents a parametric study for deflection, bending and shear for different support configuration. It is found that the continuous span with equally spaced support is superior to other three support configuration. It can be stated that the obtained results will provide guidance to bridge designers.

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 Keywords

I-GIRDERS, diaphragm; bending moment; shear force, support configuration

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Creative Commons Attribution 4.0 and The Open Definition

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All over the world rice is the most consumed food and the requirement and demand of rice in the market is always high. In the market rice demand is always centered at the quality of rice depending upon its factors like length ,thickness of rice grain . Traditional methods to check all aspects of rice can be a very time consuming process and have to be done manually. Quality and purity checking of rice grains are commonly derived from human vision observation. Analyzing the rice grain sample manually is a longer consuming and sophisticated process, and having more chances of errors with the subjectivity of human perception. This paved the way for development of a computerized model for checking rice quality and all its aspects needed for checking the quality of rice. The strategies of digital image processing are used in this paper to provide a solution to the problem. Ninety percent).In proposed system model is built by clubbing both image processing and machine learning techniques to grade the rice .Digital Imaging is recognized as an efficient technique to extract the features from rice grains.We are also attempting to develop a Neural Network model in order to achieve better results.

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Creative Commons Attribution 4.0 and The Open Definition

 Keywords

Rice quality using Image Processing and Machine Learning, OpenCV, Python,

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Creative Commons Attribution 4.0 and The Open Definition