Volume 13 | Issue 5 |

 Abstract

In today's world, many individuals depend on emails or messages from unknown senders. The ability for anyone to send an email or message creates a prime opportunity for spammers to distribute unwanted content related to our various interests. Spam clutters our inboxes with numerous absurd emails, significantly slowing down our internet speed and stealing valuable information, such as details from our contact lists. Identifying spammers and their content is a prominent research topic and a challenging task. Email spam involves sending large volumes of messages through mail. Since the cost of spam is primarily borne by the recipient, it functions as a form of postage-due advertising. Spam emails are a type of commercial promotion that is economically feasible because email is a very cost-effective medium for the sender. With the proposed model, messages can be classified as spam or not using Bayes' theorem and the Naive Bayes Classifier, and the sender's IP addresses can also be detected.

Licence: creative commons attribution 4.0

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Creative Commons Attribution 4.0 and The Open Definition

 Keywords

Machine Learning Model , Real Time Spam detection model

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Creative Commons Attribution 4.0 and The Open Definition

 Abstract

This project presents an advanced healthcare monitoring system that synergizes smart sensors with Internet of Things (IoT) and machine learning, particularly the K-Nearest Neighbour (KNN) algorithm, for real-time chronic disease prediction. The system extends traditional methods by integrating sensors such as Max30100 (heart rate), DHT11 (temperature), PPG (oxygen levels), and a sweat sensor (sweat analysis) to detect conditions like cramps, heart attacks, hyperhidrosis, hypertension, and more. Collected data is analyzed using KNN for pattern recognition and stored in the cloud for continuous remote monitoring. This approach offers enhanced disease coverage, real-time data processing, and improved prediction accuracy. It empowers users and healthcare providers with timely insights for preventive care and is scalable for future expansion, marking a significant step toward personalized and proactive healthcare.

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 Keywords

K-Nearest Neighbour (KNN), IoT, Max30100, DHT11, PPG, Sweat Sensor, Chronic Disease Prediction.

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Creative Commons Attribution 4.0 and The Open Definition

 Abstract

Cloud computing has emerged as a transformative paradigm in information technology, offering scalable, on-demand access to computing resources over the internet. This paper provides a comprehensive overview of cloud computing, covering its fundamental concepts, service models (IaaS, PaaS, SaaS), and deployment models (public, private, hybrid, and community clouds). The study explores the key benefits of cloud computing, including cost efficiency, flexibility, scalability, and enhanced collaboration, while also addressing major challenges such as data security, privacy concerns, and vendor lock-in. Additionally, the paper discusses current trends and future directions in cloud technology, including the integration of artificial intelligence, edge computing, and containerization. This overview aims to serve as a foundational reference for researchers, IT professionals, and decision-makers seeking to understand the evolving landscape of cloud computing and its implications for modern computing environments.

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 Keywords

IaaS, PaaS, SaaS , Virtualization

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Creative Commons Attribution 4.0 and The Open Definition

 Abstract

The end of the present study was to formulate and estimate the fast dissolving tablets of Zidovudine. Zidovudine is an antiretroviral medicine generally used in the treatment HIV infection. The superdisintegrants used in this study was sodium bounce glycolate and cross Carmellose sodium by sublimation system. The tablets were estimated for weight variation, hardness, wetting down time, frangibility, water immersion rate and decomposition time and In vitro dissolution study. The tablets were prepared by direct contraction system. All tablet phrasings showed quick decomposition time, which is veritably characteristic of fast dissolving tablets. All the phrasings showed rapid-fire chance medicine release( 28.42- 98.51)). The rapid-fire medicine decomposition( 18 sec) was noticed in F8 expression when compare to other expression, which release 98.51 at the end of 30 twinkles. The fast dissolution might be due to quick decomposition of the tablet to form patches and rapid-fire immersion will reuse superdisintegrant was considered as the optimised expression. The in vitro medicine release profile of the optimised expression is F7.

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Creative Commons Attribution 4.0 and The Open Definition

 Keywords

Direct compression, Fast dissolving tablet, Cross Carmellose Sodium, Sodium Starch Glycolate, Sublimation technique, Zidovudine.

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Creative Commons Attribution 4.0 and The Open Definition

 Abstract

After the economic policy reforms in India in 1991, a significant discussion has emerged within policy circles regarding the role of agriculture in the country's future economic development. The discussions suggest that agriculture will gradually modernize through substantial capital investments. This rapid growth in agriculture is expected not only to secure continuous food availability but also to enhance industrial growth and increase GDP. To sustain agricultural growth, investing adequate capital is crucial since it is a key component for the success of all agricultural development projects. Therefore, financing agriculture is a critical obligation to fulfill the capital requirements of Indian agriculture, with credit serving as a driving force in advancing agriculture alongside industries, enterprises, and the service sector of the economy. The analysis presented in this research indicates that agricultural credit (used here as a proxy for the government's financial inclusion initiatives under priority sector lending) Granger causes the production of agricultural food grains. Reverse causality is also evident in this context. This highlights the importance of agrarian credit under priority sector lending in contributing towards boosting agricultural productivity and illustrates a nuanced and interconnected relationship.

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 Keywords

Agricultural credit, financial inclusion, economy, farm loan

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Creative Commons Attribution 4.0 and The Open Definition

 Abstract

The swift advancement of e-commerce in India has transformed consumer demands, particularly in terms of delivery speed and convenience. This research report examines the logistics and distribution approaches utilized by Zepto, a rapidly expanding e-commerce entity focused on quick commerce (Q-commerce). The goal of this study is to comprehend how Zepto fulfills its commitment to ultra-fast delivery, effectively manages its supply chain operations, and innovates within the fiercely competitive Indian market. An analysis of the situation uncovers the increasing need for immediate grocery delivery and the changing consumer expectations. The literature review is based on academic articles, market analyses, and case studies to establish the context for effective logistics in the e-commerce sector. The research was designed around an exploratory framework. A qualitative methodology was employed through the analysis of secondary data, including industry reports, corporate press announcements, and market research publications. A comparative analysis was performed to evaluate Zepto's strategies against other leading entities in the q-commerce and broader e-commerce sectors. The findings emphasize that Zepto's implementation of dark stores, real-time inventory control, and AI-driven route optimization is our vital component for achieving quick delivery times. The study determines that while these strategies enhance customer satisfaction, they also introduce new challenges concerning the sustainability and scalability of operations. Recommendations involve increasing automation in last-mile deliveries, investigating eco-friendly logistics options, and investing in predictive analytics. The study also indicates that other e-commerce companies can incorporate elements of Zepto's approach to enhance their logistics frameworks.

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Creative Commons Attribution 4.0 and The Open Definition

 Keywords

Q - commerce, e - commerce, Case Study Method, Comparative Analysis, Data Collection, Data Analysis Tools, Market Share, Operations and Logistics.

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Creative Commons Attribution 4.0 and The Open Definition

 Abstract

Social media has revolutionized communication on a global scale, altering how people connect, engage, and share information. With billions of users, these platforms have woven themselves into the fabric of everyday life. While social media brings a range of advantages, it also raises questions about its impact on mental well-being, relationships, education, and society. This paper delves into the benefits and drawbacks associated with social media, focusing on specific areas such as education, culture, business, and youth.

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Creative Commons Attribution 4.0 and The Open Definition

 Keywords

Social Media, Digital Communication, Mental Health and Social Media, Education and Social Media, Social Media Addiction, Effects of Social Media.

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Creative Commons Attribution 4.0 and The Open Definition

 Abstract

A cry is a form of correspondence for youngsters to speak their sentiments. baby cry can be portrayed by means of its everyday occasional tone and the distinction in voice thru their toddlers cry discovery guardians can screen their baby relatively just in large situations reputation of a child cry in discourse signals is a pressing advance in applications like remote child gazing and its far likewise sizable for researchers who give attention to the connection between child cry sign examples and different formative barriers this research of sound acknowledgment includes spotlight extraction and association with the aid of determining the sound instance we use mfcc as an detail extraction strategy and k-nearest neighbor for association is a characterization method this is often utilized for sound records the knn classifier is exhibited to yield extensively higher results contrasted with exclusive classifiers

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Creative Commons Attribution 4.0 and The Open Definition

 Keywords

Baby Cries , Machine Learning, Random - Forest, CNN, NLP, Sentiment Analysis

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Creative Commons Attribution 4.0 and The Open Definition

 Abstract

With increasing digitalization, conventional practices are giving way to revolutionary practices. solutions, reshaping the way insurance is bought, sold and managed. The kinship between insurance and technology, Insurtech, represents a buzzword with greater meaning, but it also serves as an important driver of the development of the insurance sector. There are not just new channels, but completely new ways to meet needs based on options like AI, blockchain data, analytics or IoT; Digitalization is completely changing the rules, creating ample room for benefits for both parties involved: insurers and policyholders. In this blog, we will look at the disruptive forces that have reshaped the industry, consider some modern trends in insurance products and services, and reveal future opportunities and challenges. Through Insurtech startups to personalize insurance coverage, we discovered the profound power of digitalization in Indian insurance. Each insurance company offers free online insurance quotes through which customers can choose and purchase different types of digital insurance online. Eliminates the need to meet with an insurance agent in person. It even eliminates the need to talk or ask about an insurance product over the phone.

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Creative Commons Attribution 4.0 and The Open Definition

 Keywords

Digitalization, Innovative Solutions, Block-Chain data, Insurance Products.

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Creative Commons Attribution 4.0 and The Open Definition

 Abstract

This work aims to investigate the bubble generation and its behavior during two-phase interaction using the Volume of Fluid (VOF) method for interface capturing and reconstruction. The conservation equations of mass and momentum are computed in real time taking into account surface tension and gravity. The obtained results of bubble behaviors are in solidarity with the available literature. The increase in surface tension is directly proportional to bubble diameter and the time taken for detachment. Detachment time behaves inversely with increasing gas velocity. The presence of two orifices and the influence of the spacing between them on bubble dynamics was also investigated. This work aims to investigate the bubble generation and its behavior during two-phase interaction using the Volume of Fluid (VOF) method for interface capturing and reconstruction. The conservation equations of mass and momentum are computed in real time taking into account surface tension and gravity. The obtained results of bubble behaviors are in solidarity with the available literature. The increase in surface tension is directly proportional to bubble diameter and the time taken for detachment. Detachment time behaves inversely with increasing gas velocity. The presence of two orifices and the influence of the spacing between them on bubble dynamics was also investigated. The objective of determining the diameter of bubbles formed during a gas-liquid process using simulation - a new project is to understand, predict, and optimize the bubble dynamics in the system. This information is critical for designing and improving processes in various industries, such as chemical engineering, biotechnology, environmental engineering, and energy production.

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Creative Commons Attribution 4.0 and The Open Definition

 Keywords

Bubble Diameter, Multiphase Flow, CFD Simulation, Bubble Formation, Fluid Dynamics and Two-Phase Flow Modeling

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Creative Commons Attribution 4.0 and The Open Definition