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Issues List: Title and Authors of Paper( Volume 14,Issue 3)
1 Jul 01, 2024
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An Efficient Machine Learning Technique for Rating Prediction Of Google Play Store Apps

The vast landscape of mobile applications, user ratings play a crucial role in determining an app's success and popularity. Predicting these ratings accurately not only aids users in making informed decisions but also assists developers in improving their apps. This paper presents an efficient machine learning technique tailored for rating prediction of Google Play Store apps. Our approach leverages a combination of advanced machine learning algorithms, feature analysis, and data pre-processing methods to achieve robust performance. Simulation results shows that the effectiveness of proposed technique through extensive experimentation on datasets, showcasing its ability to accurately forecast app ratings....

Authors: Veena Vadinee Raikwar, Prof. Mahendra Sahare, Prof. Anurag Shrivastava.

2 Jul 01, 2024
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ENHANCED PREDICTION OF DIABETES USING MACHINE LEARNING TECHNIQUE

Due to its intricate dependencies on numerous factors, diabetes diagnosis is a very difficult task in the early stages. In order to assist medical experts in the demonstration method, it is necessary to establish restorative symptomatic emotionally supportive networks. Neural system functions have been successfully linked to the diagnosis of many medical conditions. Gradient boosting machine learning is used in this thesis to train the diabetes diagnosis and classify diabetic patients into two groups based on their class values. To attain an accuracy of 81.95% in the suggested strategy, we employed an ensemble of gradient boosting techniques.For diabetic disease dataset, the majority vote-based model, which includes Naïve Bayes, Decision Tree, and Support Vector Machine classifiers, achieved an accuracy of 76.56%, sensitivity of 79.16%, and specificity of 77.476%. ...

Authors: Prachi Patel, Manoj Yadav.

3 Jul 01, 2024
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Redefining Channel Dimensioning in FMCG Industry: A Technological Perspective

In recent years, the Fast-Moving Consumer Goods (FMCG) sector has experienced remarkable growth. Extensive and intricate distribution networks remain a characteristic of the FMCG sector. With the introduction of technologies like artificial intelligence, big data analytics, and the Internet of Things, channel dimensioning in the FMCG sector has undergone significant transformation. This study examines how channel dimensioning in the FMCG sector is changing as a result of technology breakthroughs. The study, which is based on secondary data, examines the tools and approaches used by top companies, analyses the measurable effects of these innovations, and examines any difficulties that may have arisen. The potential transformation of AI-based demand forecasting, IoT-based tracking, and data analytics in supply chain optimisation for cost reduction and customer happiness were among the main conclusions. The article concludes with practical advice and views on using technology to solve inefficiencies and prepare distribution networks for the future....

Authors: Jyotika James, Nishant Shrivastava.

4 Jul 01, 2024
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A STUDY ON IMPACT OF ARTIFICIAL INTELLIGENCE ON FINANCIAL DECISION MAKING IN INDIA

Artificial Intelligence (AI) has transformed financial decision-making worldwide, including in India. The adoption of AI-based technologies like machine learning, predictive analytics, and big data has massively improved the speed, accuracy, and efficiency of financial processes. AI applications are now deeply embedded in banking, investment, risk assessment, fraud detection, and financial planning, providing data-informed insights and automation that were not possible before. In the Indian financial sector, AI implementation has been increasing because of rising digitization, government initiatives, and development in financial technology (FinTech). In a report by NITI Aayog, financial solutions powered by AI have the potential to add a projected $1 trillion to India's economy by 2035. Also, as per a survey by the Reserve Bank of India (RBI), more than 75% of Indian banks have already implemented AI-powered risk assessment tools to support decision-making and regulatory compliance. This research paper discusses the revolutionary impact of AI on financial decision-making in India. It discusses how AI-based financial solutions enhance decision-making effectiveness, risk evaluation accuracy, and customer satisfaction while also considering issues like ethical issues, data security threats, and regulatory challenges. Based on secondary data sources, the study presents an analysis of the present and future impacts of AI in India's financial sector. ...

Authors: Isha Verma, Jyotika James.

5 Jul 01, 2024
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Digital Era: A New Shift in Business

In sustainable economic growth, business plays its role towards innovation generation, job creation, and provision of financial resources across several levels. Digitalization influences a contradiction in the business perspective as it enables companies to explore many more avenues for value creation. The next big thing, digitalization, is changing the entire landscape of management accounting, improving decision-making processes, and operational efficiency. Additionally, it has a huge direct impact on business models, fostering competitiveness and encouraging creativity. In today's digital age, enterprises are changing from production driven to innovation-oriented, while cities are going from industrial to innovation-driven. Constant innovation represents the backbone of recently growing business development, which is the key to real success. The purpose of this essay is to discuss how modern business trends in the digital age have changed managerial practices and corporate strategies ...

Authors: Zeenat Khan, Alisha Hashmi.

6 Jul 01, 2024
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FOREIGN INSTITUTIONAL INVESTMENT AND ITS EFFECTS ON THE INDIAN STOCK MARKET

India welcomed international investors into its stock markets in September 1992, enabling Foreign Institutional Investors (FIIs) to contribute importantly to the economic growth of the country. FIIs have become one of the key sources of Indian capital inflows, shaping trends in the stock market as well as the overall growth of the economy. This research explores the growing importance of FIIs in the Indian equity market with an emphasis on the influence of FIIs on the NIFTY 50 index. It investigates the trends in foreign investments across the years and the influence of the same on market volatility. From the findings, it is clear that FIIs have helped in the growth of the market, but their volatile nature sometimes creates harsh market fluctuations. The research emphasizes the need to have a stable regulatory environment in order to attract continuous foreign investments and promote long-term market stability. ...

Authors: Manoj Gyanchandani, Tina Sachdeva.

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