[HTML][HTML] Artificial intelligence (AI) applications for marketing: A literature-based study

A Haleem, M Javaid, MA Qadri, RP Singh… - International Journal of …, 2022 - Elsevier
Artificial Intelligence (AI) has vast potential in marketing. It aids in proliferating information
and data sources, improving software's data management capabilities, and designing …

Hate speech detection using natural language processing: Applications and challenges

AS Parihar, S Thapa, S Mishra - 2021 5th International …, 2021 - ieeexplore.ieee.org
The internet has become a common platform for everyone to share their ideas and opinions.
The user has freedom to post whatever he/she likes in social networking and blogging sites …

AI and IoT solutions for tackling COVID-19 pandemic

A Ghimire, S Thapa, AK Jha, A Kumar… - 2020 4th …, 2020 - ieeexplore.ieee.org
Coronavirus disease 2019 (COVID-19), caused by severe acute respiratory syndrome
coronavirus 2 (SARS CoV-2), has become an unprecedented public health crisis. To tackle …

Fake currency detection with machine learning algorithm and image processing

A Bhatia, V Kedia, A Shroff, M Kumar… - 2021 5th international …, 2021 - ieeexplore.ieee.org
This paper deals with the matter of identifying the currency that if the given sample of
currency is fake. Different traditional strategies and methods are available for fake currency …

A review of AI for urban planning: Towards building sustainable smart cities

AK Jha, A Ghimire, S Thapa, AM Jha… - 2021 6th International …, 2021 - ieeexplore.ieee.org
Urban planning, in short, deals with solving the problems of the modern society. The
problems are complementary to the growing population in today's society. The problems in …

Distributed model for customer churn prediction using convolutional neural network

MU Tariq, M Babar, M Poulin… - Journal of Modelling in …, 2022 - emerald.com
Purpose The purpose of the proposed model is to assist the e-business to predict the
churned users using machine learning. This paper aims to monitor the customer behavior …

[HTML][HTML] Stock market prediction using deep reinforcement learning

AL Awad, SM Elkaffas, MW Fakhr - Applied System Innovation, 2023 - mdpi.com
Stock value prediction and trading, a captivating and complex research domain, continues to
draw heightened attention. Ensuring profitable returns in stock market investments demands …

Sentiments detection for amazon product review

BK Shah, AK Jaiswal, A Shroff, AK Dixit… - 2021 International …, 2021 - ieeexplore.ieee.org
In this paper, we evaluated the sentiments in the present technological age over the reviews
of online products, online products are used by the majority of people. They provide their …

Acceptance of artificial intelligence technologies in business management, finance, and e-commerce: factors, challenges, and strategies

N Rane, SP Choudhary, J Rane - Studies in Economics and Business …, 2024 - sabapub.com
This research investigates the comprehensive acceptance of artificial intelligence (AI) in
business management, finance, and e-commerce, focusing on the factors driving its …

Applications of AI and IoT in COVID-19 vaccine and its impact on social life

AM Almars, I Gad, ES Atlam - Medical Informatics and Bioimaging Using …, 2022 - Springer
COVID-19 illness has been recognized as an International Public Health Emergency
(PHEIC). According to the World Health Organization (WHO), more than 200 countries …