[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 …

Applications of artificial intelligence and machine learning algorithms to crystallization

C Xiouras, F Cameli, GL Quillo… - Chemical …, 2022 - ACS Publications
Artificial intelligence and specifically machine learning applications are nowadays used in a
variety of scientific applications and cutting-edge technologies, where they have a …

Crime analysis using computer vision approach with machine learning

P William, A Shrivastava… - … Communications and 5G …, 2023 - Springer
Depending on the seriousness of the offence, any deliberate act that causes harm to oneself
or another, as well as damage to or loss of property, qualifies as a crime for the purposes of …

Current and emerging deep-learning methods for the simulation of fluid dynamics

M Lino, S Fotiadis, AA Bharath… - Proceedings of the …, 2023 - royalsocietypublishing.org
Over the last decade, deep learning (DL), a branch of machine learning, has experienced
rapid progress. Powerful tools for tasks that have been traditionally complex to automate …

[HTML][HTML] Crime forecasting: a machine learning and computer vision approach to crime prediction and prevention

N Shah, N Bhagat, M Shah - … Computing for Industry, Biomedicine, and Art, 2021 - Springer
A crime is a deliberate act that can cause physical or psychological harm, as well as
property damage or loss, and can lead to punishment by a state or other authority according …

Artificial intelligence in advertising: advancements, challenges, and ethical considerations in targeting, personalization, content creation, and ad optimization

B Gao, Y Wang, H Xie, Y Hu, Y Hu - Sage Open, 2023 - journals.sagepub.com
With the rapid advancement of artificial intelligence (AI) technology, the advertising industry
is at a crossroads of new opportunities and challenges. This pioneering study provides an in …

“FabNER”: information extraction from manufacturing process science domain literature using named entity recognition

A Kumar, B Starly - Journal of Intelligent Manufacturing, 2022 - Springer
The number of published manufacturing science digital articles available from scientific
journals and the broader web have exponentially increased every year since the 1990s. To …

[HTML][HTML] The derived demand for advertising expenses and implications on sustainability: a comparative study using deep learning and traditional machine learning …

S Birim, I Kazancoglu, SK Mangla, A Kahraman… - Annals of Operations …, 2024 - Springer
In recent years, machine learning models based on big data have been introduced into
marketing in order to transform customer data into meaningful insights and to make strategic …

Artificial intelligence in multiparametric magnetic resonance imaging: A review

C Li, W Li, C Liu, H Zheng, J Cai, S Wang - Medical physics, 2022 - Wiley Online Library
Multiparametric magnetic resonance imaging (mpMRI) is an indispensable tool in the
clinical workflow for the diagnosis and treatment planning of various diseases. Machine …

Determinants of consumers' attitudes towards digital advertising–A meta-analytic comparison across time and touchpoints

H Lütjens, M Eisenbeiss, M Fiedler, T Bijmolt - Journal of business research, 2022 - Elsevier
By means of a meta-analysis, we synthesize the findings of over two decades of research
from 88 empirical studies regarding four well established and theoretically rooted …