Applying Machine Learning in Marketing: An Analysis Using the NMF and k-Means Algorithms

V Gallego, J Lingan, A Freixes, AA Juan, C Osorio - Information, 2024 - mdpi.com
The integration of machine learning (ML) techniques into marketing strategies has become
increasingly relevant in modern business. Utilizing scientific manuscripts indexed in the …

An innovative intelligent design method of alkali-activated foamed geopolymer: Mixture optimization and performance prediction

Y Li, J Shen, H Lin - Journal of Building Engineering, 2024 - Elsevier
The complex design parameters and lack of standard mix design methods generate a
difficulty in the high efficiently preparation of alkali-activated foamed geopolymer (AAFG) …

The influence of energy-saving information in online reviews on green home appliance purchase behavior based on machine learning

L Li, X Yuan - Energy and Buildings, 2024 - Elsevier
The renewal of green home appliances is a crucial measure for households to save energy
and reduce emissions. However, how online reviews, especially those relate to energy …

Machine vision and novel attention mechanism TCN for enhanced prediction of future deposition height in directed energy deposition

M Yu, L Zhu, J Ning, Z Yang, Z Jiang, L Xu… - … Systems and Signal …, 2024 - Elsevier
Abstract Laser Directed Energy Deposition (L-DED) has garnered significant attention due to
its high flexibility and rapid processing capabilities. However, complex physical flow fields …

[HTML][HTML] Toward a decision-making system based on artificial intelligence for precision marketing: A case study of Morocco

N El Koufi, A Belangour - Journal of Open Innovation: Technology, Market …, 2024 - Elsevier
The insurance sector plays a crucial role in fostering sustainable economic development
within a country. As the customer base grows, insurance companies must prioritize …

Machine Learning-Driven Educational Ethics Considerations: Striking A Balance Between Privacy And Personalization

A Siddiqua, S Sabeer, RS Rao, S Ahuja… - 2023 10th IEEE Uttar …, 2023 - ieeexplore.ieee.org
This empirical study investigates the complex trade-off between personalization and privacy
in the context of education powered by machine learning. Machine learning is emerging as …

[HTML][HTML] Internet of Marketing Things: A Fog Computing Paradigm for Marketing Research

J Hornik, M Rachamim - 2024 - intechopen.com
Conventional market research is usually costly, time-consuming, scalability issue, and
intrusive, and the generated data may have a short shelf life in fast-moving markets. The …

Enabling Autonomous Digital Marketing: A Machine Learning Approach for Consumer Demand Forecasting

K Singhal, JN Singh, V Sharma - 2024 IEEE International …, 2024 - ieeexplore.ieee.org
This research surveys the integration of Artificial Intelligence (AI) and Machine Learning
(ML) to establish an autonomous framework for Digital Marketing, with a primary focus on …

On the impact of artificial intelligence on marketing professionals and the future of marketing positions

S Atlihan - 2024 - repositorio.ucp.pt
AI is becoming a more potent tool for marketing because of its prowess in executing
important tasks such as content generation and customer interaction. This research is aimed …

[PDF][PDF] PENERAPAN METODE HYBRID CNN-LSTM DALAM SISTEM DETEKSI MULTI CLASSIFICATION CYBER ATTACK

M FAJRI - repository.unsri.ac.id
Cyber Attack merupakan tindak kejahatan yang dilakukan oleh seseorang atau sekelompok
orang terhadap pihak lain dengan tujuan untuk menerobos jaringan atau sistem informasi …