Volume 12 | Issue 10 |

 Abstract

MACHINE LEARNING TECHNIQUES.

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 Keywords

DATA SCIENCE

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Creative Commons Attribution 4.0 and The Open Definition

 Abstract

This project aims to develop a voice-activated smart virtual assistant that leverages advanced machine learning, speech recognition, and other emerging technologies. The primary objective is to enhance user convenience by providing personalized responses, insightful recommendations, and efficient task handling. Beyond basic functionalities like setting reminders and managing appointments, this assistant will be capable of making calls, sending messages, and controlling smart home devices. Additionally, it will provide users with real-time information on weather updates, news, sports scores, and more. With support for multiple languages and contextual memory of past interactions, the assistant will offer a smooth, intuitive experience, adapting to individual user preferences through continuous learning. Ultimately, this project envisions a highly responsive, hands-free virtual assistant designed to transform user interaction and task management.

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 Keywords

Voice-activated virtual assistant, Machine learning, Personalized recommendations, Natural language processing (NLP), Speech recognition

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 Abstract

Mathematical modelling is the process of creating a mathematical representation of a system to gain insight into or understand its behavior. It is a powerful tool used to develop and refine solutions to real world problems. Mathematical modelling is used in a wide variety of disciplines, such as engineering, economics, biology and many more. The process involves constructing a mathematical model, which is a combination of equations, variables and parameters that describe the system.

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 Keywords

mathematical modeling, Statistical System, dynamics, Agent based modelling.

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Creative Commons Attribution 4.0 and The Open Definition

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The growing interest in intelligent chatbots has surged in recent years, driven by advancements in artificial intelligence algorithms. This has led to numerous studies exploring emotional transitions and dialog structures. One notable application is in the medical field, where chatbots can assist with psychological assessments, clinical counseling, autism diagnostics, and complex cognitive modeling. However, a common limitation of many chatbots is their reliance on web-based information repositories. While these sources provide reliable information, they often lack the nuanced emotional understanding necessary for meaningful interactions. This paper aims to address this gap by developing an intelligent chatbot that leverages natural language processing and the Telegram API.

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Telegram API, chatbot, natural language processing, emotion

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The paper extensively addresses numerical adaptation words inherent in translation, exploring techniques to preserve original numeric nuances in literary texts. It delves into assessing numeric aspects within individual translations, utilizing quantitative data from corpus linguistics. The focus centers on numerical adaptation words translation issues, specifically examining the novels "Red Tea and Eiyum Panikkadu".

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Creative Commons Attribution 4.0 and The Open Definition

 Keywords

numerical words, translation, linguistic perspective, Tamil version, syntactic approach, adjectives

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Creative Commons Attribution 4.0 and The Open Definition

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This paper explores the application of predictive modeling in election polls, using machine learning techniques to forecast outcomes based on historical data and voter behavior patterns. Models like logistic regression and neural networks are evaluated for their accuracy in dynamic electoral environments. Additionally, the study emphasizes the importance of data security in safeguarding election integrity, discussing methods like encryption and blockchain for protecting poll data and voter information. The research highlights how combining prediction models with robust security measures can ensure accurate, secure, and trustworthy election results.

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Creative Commons Attribution 4.0 and The Open Definition

 Keywords

Machine Learning, Encryption, Voter Behavior, Blockchain, Electoral forecasting, migitating risks.

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Creative Commons Attribution 4.0 and The Open Definition

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The exponential rise of mobile devices has significantly increased the attack surface for malicious activities, particularly on the Android platform, which is the most widely used mobile operating system globally. As cyber threats evolve in sophistication, traditional signature-based malware detection techniques struggle to keep up. This paper proposes an advanced approach combining Genetic Algorithms (GA) and Convolutional Neural Networks (CNN) to enhance Android malware detection capabilities.Experimental results demonstrate the proposed model's superior accuracy, precision, and recall compared to traditional methods. By harnessing machine learning techniques, specifically the optimization power of GA and the deep learning capabilities of CNN, this study paves the way for more effective and adaptive Android malware detection systems, capable of combating emerging cyber threats in real-time

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Component, Formatting, Style, Styling, Insert

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Creative Commons Attribution 4.0 and The Open Definition

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The safety of women remains a critical concern worldwide, with incidents of violence and harassment persisting despite societal advancements. This research paper outlines the design and implementation of a mobile application aimed at enhancing women's security using Android Studio. The application incorporates features such as emergency alerts, location tracking, and community support systems, providing a comprehensive tool for personal safety.

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Women Security using Android

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Natural rubber is the dominant cash crop of Tripura. Proper application of fertilizer namely nitrogen, phosphorus and potassium are necessary for the soil to increase the production of latex. So, nutrient management of fertilizers used for rubber plantation is vital part for the production. In the paper of Sen & Nandi(2012), a mathematical model was formulated. In this paper I try to consider four cases changing basic structure of the model and a comparative study is made for nutrient management of fertilizer.

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Fertilizer combination, model, goal programming, priority factors, optimization.

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HarmoniHer is a thoughtfully designed mobile health app that empowers women to take charge of their health, especially when it comes to managing PCOS and PCOD naturally. Using machine learning, the app creates tailored lifestyle, exercise, and diet plans that reflect each woman's unique needs and goals. Beyond being a PCOS/PCOD tool, HarmoniHer is built to walk alongside women through all stages of life, offering support for period tracking, menstrual health, menopause management, and fertility planning--all crafted to make users feel truly seen and supported.With a warm, holistic approach, HarmoniHer seeks to give women confidence in their health choices and the comfort of having a personalized wellness companion. It's not just about managing health; it's about fostering a deep connection with one's body and creating a journey toward feeling empowered and in control

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Creative Commons Attribution 4.0 and The Open Definition

 Keywords

PCOS/PCOD, Women's Health, Machine Learning, Personalized Health Plans, Lifestyle Management, Period Tracking, Menstrual Health, Menopause Management, Fertility Support.

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Creative Commons Attribution 4.0 and The Open Definition