Volume 12 | Issue 4 |

 Abstract

This work investigates the application of natural language recognition techniques for the identification of "false news," or false stories derived from unrepeatable sources. working with a list and data collection that were acquired from Social Media for Open Sources.

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Creative Commons Attribution 4.0 and The Open Definition

 Keywords

Machine Learning, Classification Methods, Identification of Fake and Real News, Text distribution , Online Social and network Security.

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Creative Commons Attribution 4.0 and The Open Definition

 Abstract

Businesses have long relied on data analytics in ways to improve operational efficiency. To fully benefit from these advantages, a thorough comprehension of the subject is required. The study analyses taxi travel data in a city using exploratory data analysis and advanced statistical approaches. It aims to identify patterns, trends, and insights in ride-hailing data, which could be useful for urban mobility planning, optimizing taxi service operations, and understanding user behaviour. The project uses Mage for ETL operations, analysing ride-hailing data, and storing it in Google BigQuery for efficient management and scalability, with SQL queries for trip details and passenger counts. The study uses Looker Studio to transform analysed data into interactive dashboards, enabling stakeholders to discover trends and improve services across platforms, integrating ETL techniques, cloud data warehousing, SQL analysis, and visualization tools.

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Creative Commons Attribution 4.0 and The Open Definition

 Keywords

- Data Analysis, Data Visualization, ETL, Mage, Cloud Storage, GCP, BigQuery, SQL, Looker

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Creative Commons Attribution 4.0 and The Open Definition

 Abstract

Industry 4.0, synonymous with the digitalization of production, embodies the integration of cyber-physical systems, automation and data exchange. This paradigm shift is no longer a futuristic concept but a global phenomenon embraced by manufacturing entities seeking improved performance, streamlined operations, cost reduction and greater flexibility. However, the adoption of Industry 4.0 enabling technologies presents formidable challenges, exacerbated by the absence of standardized methodologies. Barriers include a spectrum of factors such as knowledge gaps, ambiguity in quantifying investment returns, and skill gaps in the workforce. This thesis conducts a comprehensive literature review, focusing on the enabling technologies of Industry 4.0, clarifying their transformative impact on the manufacturing landscape. Furthermore, it provides a strategic project that outlines the implementation of Industry 4.0, leveraging lean Six Sigma methodologies. The strategic framework is based on the design of the Six Sigma approach for the conception of new process chains, combined with a sustained improvement regime. The choice of Lean Six Sigma is based on providing manufacturers with a sense of familiarity, thanks to their historical adoption of these principles for eliminating waste and reducing variability. Key deterrents to Industry 4.0 adoption among manufacturers include apprehension of the unknown and resistance to change, both of which can be mitigated through the integration of lean Six Sigma. The strategic roadmap of this thesis offers a comprehensive overview of the steps required for manufacturers embarking on the journey to adopting Industry 4.0, along with an assessment of the challenges that may be encountered.

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 Keywords

Industry 4.0; Design for Six Sigma; Lean Six Sigma; Additive manufacturing; Augmented reality; Simulation; Autonomous robots; Internet of Things; Cloud computing; Big Data Analysis; Cyber security; Horizontal and vertical integration.

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Creative Commons Attribution 4.0 and The Open Definition

 Abstract

This research project includes a comprehensive online application that aims to bridge the gap between multimedia content and linguistic variety. Using Python Flask and a variety of libraries such as Tesseract for optical character recognition, Google Text-to-Speech for audio generation, and OpenCV for image processing, the application provides users with a unified platform for converting images to text, translating them into multiple languages, and generating audio in their preferred language. This combination of capabilities in a single interface fills a significant gap in current solutions, notably in the accuracy and inclusiveness of audio creation across several languages. The suggested technology, with its straightforward design and efficient performance, not only improves worldwide communication but also makes it more accessible to people with visual impairments.

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Creative Commons Attribution 4.0 and The Open Definition

 Keywords

Image Processing, Text Recognition, OCR (Optical to Character Recognition), OpenCV, Text-to-Speech.

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Creative Commons Attribution 4.0 and The Open Definition

 Abstract

This research paper investigates the motivation levels of Kendriya Vidyalaya students participating in handball, comparing those who have achieved medals (medalists) with those who have not (non-medalists). The study aims to provide insights into the potential impact of achievement on motivation within the context of handball participation. Thirty players were selected for the study, and their motivation levels were assessed using an independent t-test. Descriptive statistics and a correlation table were used to analyze the results.

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COMPARISON BETWEEN MEDALIST AND NON-MEDALIST

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As the internet grows rapidly, people need tools to find the right information quickly. One such tool is a recommendation system, often used in online stores to boost sales. This paper suggests a simple book recommendation system to help readers find their next read easily and show top 50 books We'll explain how it works and the method we used, which is collaborative filtering.

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Creative Commons Attribution 4.0 and The Open Definition

 Keywords

recommendation system, collaborative filtering, book.

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Creative Commons Attribution 4.0 and The Open Definition

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This paper explores many facets of a pandemic-caused apocalypse using the prism of two very seminal works, Emily St. John Mandel's Station Eleven and Cormac McCarthy's The Road. These literary works become the gateway to explore the human psyche and give a path to unravel the tussle between fear and uncertainty that dominates a pandemic world. These collected works present the true reflection of the human conditions amidst the collapse of a civilization and how it psychologically damages the victims who are surviving with a constant fear of death. Through these works the true reflection of human existence and behavior will be portrayed. The study involves a comparative and qualitative analysis to understand the themes, narratives, dynamics of human existence, and the psychology of the human mind. The paper aims to understand how fear breathes within the human mind when they get exposed to such catastrophic events and survive in the tragic world. The study also draws a parallel with the COVID-19 pandemic and attempts to understand the conditions of people when COVID-19 knocked into our lives.

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 Keywords

Psychology, Fear, Pandemic, COVID-19, Apocalypse, Post Apocalypse, James-Lange Theory, Human Psyche, Emotions

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Creative Commons Attribution 4.0 and The Open Definition

 Abstract

There are many illnesses around us every day and everyone has one or the other type of illness they are facing. People need an application which can fulfil all their needs. They need a healthcare application which can do all the caring for them for their wellness. There are many applications around nowadays which can have the detailed records of the patients which are centralized records and are accessible by the patients as and when needed. These centralized records make it easily accessible to doctors when they review the case of the patient. In this research paper we will discuss the healthcare applications: what technology they use, the challenges and issues they face and try to create a secure and robust application which can build a healthy environment by tracking our day-to-day tasks or health goals.

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Creative Commons Attribution 4.0 and The Open Definition

 Keywords

Healthcare, cloud computing, patient, healthcare application, chatbot, Machine Learning (ML), AI (Artificial intelligence)

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Creative Commons Attribution 4.0 and The Open Definition

 Abstract

Financial irregularities represent a pervasive threat to the integrity and stability of financial systems globally. Within the realm of forensic accounting, the study of these irregularities holds significant importance for both practitioners and policymakers. This introduction provides an overview of the background, need/importance, theoretical implications, and recent trends related to the analysis of financial irregularities in forensic accounting.

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Financial irregularities

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Creative Commons Attribution 4.0 and The Open Definition

 Abstract

Abstract--This research paper delves into the realm of Ad- vanced Facial Health and Age Insight Systems, aiming to develop a non-invasive method for individuals to assess their health status through the analysis of facial images. The primary objectives include providing insights into overall health, age estimation, and monitoring aspects of wellness such as stress levels, fatigue, and potential health indicators. The project's core focus is on harnessing the power of computer vision and machine learning algorithms to extract valuable information from facial features. By employing cutting- edge technologies, we aim to revolutionize the way individuals receive health insights. The non-invasive nature of this approach ensures user convenience and accessibility. The first objective of non-invasive health assessment involves the development of a system capable of analysing facial features to provide individuals with insights into their overall health status. This includes the identification of key bio-metric markers associated with underlying health conditions, offering users a proactive means of understanding their well-being. Age estimation, as the second objective, utilizes facial features to provide an approximate estimation of an individual's age. This feature caters to personal curiosity and finds practical applica- tions in scenarios requiring age verification. The integration of machine learning models trained on diverse datasets enhances the accuracy and reliability of age estimation. Wellness monitoring, the third objective, extends the system's capabilities to assess and analyse facial features for insights into aspects of wellness. This encompasses monitoring stress levels, detecting signs of fatigue, and identifying potential health indicators. The real-time nature of this monitoring facilitates timely interventions and promotes overall well-being. Throughout the paper, ethical considerations regarding pri- vacy and consent are thoroughly examined to ensure the respon- Sible development and deployment of the Advanced Facial Health and Age Insight System. As technology progresses, challenges and future directions are discussed, paving the way for continuous improvement and innovation in this burgeoning field. In conclusion, this research paper presents a comprehensive exploration of an advanced facial analysis system, offering a novel non-invasive approach to personalized wellness monitoring. The potential impact on individuals' lives, from proactive health assessment to age estimation and wellness monitoring, positions this system at the forefront of technological advancements in the healthcare domain.

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Creative Commons Attribution 4.0 and The Open Definition

 Keywords

health facial

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Creative Commons Attribution 4.0 and The Open Definition