Volume 13 | Issue 4 |

 Abstract

This review discusses how artificial intelligence (AI) is revolutionizing cybersecurity by improving threat detection and response mechanisms. AI-based methods, more so machine learning and deep learning, have immensely enhanced the capacity for detecting and countering threats like network intrusions, adversarial attacks, and zero-day vulnerabilities. One of the main themes of this research focuses on the necessity of explainability and resilience within AI models to provide trust and reliability in security applications. The examination spans sectors such as Industry 5.0, Internet of Things (IoT), 5G networks, and autonomous vehicles, highlighting the adaptability of AI in solving security issues across industries. Sophisticated methods like transformer-based models, federated learning, and blockchain integration open doors for more effective and real-time threat detection systems.D espite such progress, various challenges persist, including managing large data, ensuring real-time threat reaction, and ensuring privacy and security. Although there has been significant progress, research and cooperation need to continue in order to maximize the strengths of AI in protecting digital systems.

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 Keywords

Artificial Intelligence (AI), Cybersecurity, Threat Detection, Machine Learning, Deep Learning, Explainable AI (XAI), Zero-Day Attacks, Adversarial Attacks, Internet of Things (IoT), 5G Networks, Autonomous Vehicles, Federated Learning.

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Creative Commons Attribution 4.0 and The Open Definition

 Abstract

Weather monitoring plays a crucial role in various sectors, including agriculture, aviation, disaster management, and daily life. Traditional weather forecasting systems rely heavily on data collected from meteorological stations, satellites, and human observations. However, the advent of the Internet of Things (IoT) has revolutionized weather monitoring and prediction by enabling real-time, high-precision data collection through interconnected devices and sensors. An IoT-based weather monitoring system utilizes a network of distributed sensors to gather environmental data such as temperature, humidity, wind speed.

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Creative Commons Attribution 4.0 and The Open Definition

 Keywords

IoT,Weather Monitoring, Real time , Sensors, Environmental Data.

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Creative Commons Attribution 4.0 and The Open Definition

 Abstract

Automation in manufacturing industries has significantly increased efficiency and accuracy. This paper presents a Stamping and Labeling Machine using Programmable Logic Controller (PLC), which automates the process of stamping and labeling products on a conveyor system. The system is designed to enhance productivity, reduce manual intervention, and minimize errors in product identification and tracking. Automation generally improve the profit and productivity, it is very scalable

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Creative Commons Attribution 4.0 and The Open Definition

 Keywords

Stamping, Labeling, PLC, Automation, Conveyor belt Industrial control

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Creative Commons Attribution 4.0 and The Open Definition

 Abstract

Saptarshi Banerjea is a renowned figure in the world of homeopathy, serving as a physician, mentor, and teacher. He is part of the fifth generation of the Banerjea family, which is possibly the longest-serving homeopathic family in the world.

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Synoptic Memorizer of Materia Medica - Revised & Enlarged Edition with Comparative Materia Medica

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This study examines the perceptions of coconut farmers in Pollachi regarding various marketing strategies for coconut and coconut-based products. It explores their awareness, preferences, and the challenges they face in adopting both traditional and modern marketing methods. Using data collected from 129 respondents through structured questionnaires, the research employs statistical tools like percentage analysis, rank analysis, Likert scale, chi-square, and t-test. The findings reveal major issues such as lack of awareness, dependency on middlemen, and limited infrastructure. The study suggests enhanced digital marketing, cooperative linkages, and government support to improve farmers' income and market access.

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Creative Commons Attribution 4.0 and The Open Definition

 Keywords

Keywords: Coconut marketing, Farmer perception, Marketing strategies, Agricultural economics.

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Creative Commons Attribution 4.0 and The Open Definition

 Abstract

Youth are the nation-builders, whether they belong to rural or urban areas. However, there is a significant difference between them: youth in rural areas struggle more compared to their urban counterparts due to numerous constraints. For instance, in the Kandi area of Hoshiarpur, Punjab, many rural youths opt for a career in the Army after completing their 10+2 education. Notably, Hoshiarpur is one of the most highly educated districts in Punjab, with a literacy rate surpassing that of other districts. Despite this, approximately 75% of villagers are still engaged in agriculture and allied activities. Unfortunately, due to various constraints, they are not pursuing entrepreneurship opportunities. Entrepreneurship is a viable solution to curb the migration of rural youth to urban areas by providing them with opportunities, improving their standard of living, and contributing to village development. Rural entrepreneurship also generates job opportunities for youth, which is essential for their economic empowerment. Numerous opportunities are available in rural industrialization for individuals passionate about becoming entrepreneurs. Passion, therefore, is a crucial requirement for entrepreneurship. The government is currently offering various opportunities to rural youth, such as skill development programs and technical knowledge programs at no cost. A prime example of successful rural entrepreneurship is the management of KMS College of IT and Management. The management team, hailing from a rural area, has established KMS College as a leading institution in Dasuya, offering technical courses to youth that foster their future perspectives as entrepreneurs. Furthermore, rural entrepreneurship has the potential to promote sustainable development, reduce poverty, and enhance the overall quality of life in rural areas. By leveraging resources, such as local materials and traditional skills, rural entrepreneurs can create innovative products and services that cater to both local and global markets.

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Creative Commons Attribution 4.0 and The Open Definition

 Keywords

Keywords: Constraints, Entrepreneur, Kandi, Industrialization, Literacy, Rural Development, Sustainable Growth, Youth Empowerment.

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Creative Commons Attribution 4.0 and The Open Definition

 Abstract

Augmented analytics is revolutionizing how data is analyzed and interpreted by integrating artificial intelligence (AI), machine learning (ML), and natural language processing (NLP). This advanced approach automates tasks like data preparation, insight generation, and visualization, enabling users to uncover actionable intelligence without needing deep technical expertise. It reduces human biases, streamlines workflows, and enhances decision-making accuracy and timeliness. This seminar delves into the foundational concepts of augmented analytics and its cutting-edge techniques. It highlights real-world applications across industries such as healthcare, finance, and retail, demonstrating how businesses are using this technology to drive smarter, data-driven decisions. Additionally, the seminar covers how augmented analytics integrates seamlessly with modern business intelligence tools to deliver more impactful results. Attendees will discover how augmented analytics simplifies data processes with AI tools, empowering users to make data-driven decisions.

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Creative Commons Attribution 4.0 and The Open Definition

 Keywords

Augmented Analytics, Artificial Intelligence (AI), Machine Learning (ML), Natural Language Processing (NLP), Data Visualization, Business Intelligence (BI), Predictive Analytics, Prescriptive Analytics, Automated Data Preparation, Insight Generation, Data Democratization, Explainable AI (XAI), Data Privacy, Ethical AI, Real-Time Analytics, Decision Optimization, Data-Driven Decision Making.

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Creative Commons Attribution 4.0 and The Open Definition

 Abstract

The Protection of Women from Sexual Harassment (POSH) Act, 2013 mandates that every company develop anti-sexual harassment policy for its staff. Despite this many workforces are abstained from its rights under the POSH Act, due to poor enforceability. This legitimately contributes to the rise in occurrences of sexual harassment cases despite a dedicated legislation which ought to have been preventing sexual harassment. The Sexual Harassment of Women at Workplace (Prevention, Prohibition and Redressal) Act, 2013 (POSH Act) was a result of a long and laborious struggle of several women's rights groups. It was the only solace that Bhanwari devi could draw as she never got justice for what she went through in the line of her duty. This research article discusses the Act and its shortcomings, and proposes concrete improvements to make it more effective in combating workplace sexual harassment. The authors and their team have dedicated the past decade to implementing the POSH Act. Comprising of employee awareness trainers and external members of the Internal Complaints Committee of various organizations, their experience and insights offers valuable perspectives on the Act's implementation and its impact in various workplace settings.

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Creative Commons Attribution 4.0 and The Open Definition

 Keywords

Workplace, Sexual harassment, Women, POSH Act, Gender

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Creative Commons Attribution 4.0 and The Open Definition

 Abstract

The swift evolution of Virtual Reality (VR) technology has created significant opportunities across various industries, particularly in marketing and advertising. This research investigates the application of VR in advertising to understand how immersive experiences can improve consumer engagement, foster emotional connections, and increase purchase intentions. It assesses both the advantages and challenges of VR advertisements from the viewpoint of consumers.The study identifies key factors that affect customer adoption, including perceived interactivity, personalization, and the realism of the experience. It also addresses concerns such as high development costs, limited availability of VR devices, and potential health risks. Data was gathered through a structured questionnaire distributed via Google Forms and analyzed using percentage analysis and Likert scale techniques. The research is bolstered by a thorough literature review that examines the strategic use of VR in marketing and its effects on consumer behavior. Ultimately, the findings enhance the understanding of how VR can be effectively incorporated into advertising strategies, providing valuable insights for marketers, developers, and businesses aiming to gain a competitive advantage in the digital landscape.

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Creative Commons Attribution 4.0 and The Open Definition

 Keywords

VR Advertising, Immersive Marketing, Consumer Engagement, Emotional Connection, Purchase Intention, Personalization in VR

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Creative Commons Attribution 4.0 and The Open Definition

 Abstract

Nomophobia, or no mobile phone phobia, is "the fear of being out of mobile phone contact". It is considered as a modern age phobia resulting from the interactions between people and ICTs and is used to refer to feelings and anxiety and/or discomfort caused by being out of reach of a smartphone. Objectives 1. To assess the prevalence and associated factors of nomophobia among undergraduate students at Narayan Nursing College. 2. To determine association of prevalence and associated factors of nomophobia with selected demographic variables among undergraduate students at Narayan Nursing College. Methodology The present study was a cross-sectional descriptive analytic study, recruit the 230-study participant by the using of convenient sampling technique. The data analysis is based on the objectives and hypothesis. Result: Shows that out of the taken 230 samples, total 229(99.56%) are having nomophobia in which 55(23.913%) are having mild nomophobia, 128(55.652) are having moderate nomophobia, 46(20%) are having severe nomophobia i.e. most of the students are moderately nomophobic. The findings also reveal that there is association of prevalence and associated factors of nomophobia with selected socio demographic variables (Duration of using smartphone per day) with p value 0.000 and the Fisher exact value is 22.169 by using SPSS, the p value for this study is 0.05. Discussion and Conclusion: The findings also reveal that there is association of prevalence and associated factors of nomophobia with selected socio demographic variables (Duration of using smartphone per day) with p value 0.000 and the Fisher exact value is 22.169 by using SPSS, the p value for this study is 0.05.

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Creative Commons Attribution 4.0 and The Open Definition

 Keywords

Nursing Students, Nomophobia, Associated Factor, Prevalence. INTRODUCTION

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Creative Commons Attribution 4.0 and The Open Definition