Ensemble multifeatured deep learning models and applications: A survey

S Abimannan, ESM El-Alfy, YS Chang, S Hussain… - IEEE …, 2023 - ieeexplore.ieee.org
Ensemble multifeatured deep learning methodology has emerged as a powerful approach
to overcome the limitations of single deep learning models in terms of generalization …

Applications of fusion techniques in e-commerce environments: A literature review

E Daskalakis, K Remoundou, N Peppes, T Alexakis… - Sensors, 2022 - mdpi.com
The extreme rise of the Internet of Things and the increasing access of people to web
applications have led to the expanding use of diverse e-commerce solutions, which was …

A novel weight-optimized LSTM for dynamic pricing solutions in e-commerce platforms based on customer buying behaviour

S Suresh Kumar, M Margala, S Siva Shankar… - Soft Computing, 2023 - Springer
Dynamic pricing (DP) alters product prices at the ideal moment and under the ideal
conditions to boost a company's profit. Numerous third-party DP solutions are currently …

An e-commerce recommendation system based on dynamic analysis of customer behavior

FT Abdul Hussien, AMS Rahma, HB Abdulwahab - Sustainability, 2021 - mdpi.com
The technological development in the devices and services provided via the Internet and the
availability of modern devices and their advanced applications, for most people, have led to …

Prediction and big data impact analysis of telecom churn by backpropagation neural network algorithm from the perspective of business model

J Xu, J Liu, T Yao, Y Li - Big Data, 2023 - liebertpub.com
This study aims to transform the existing telecom operators from traditional Internet operators
to digital-driven services, and improve the overall competitiveness of telecom enterprises …

A user purchase behavior prediction method based on xgboost

W Wang, W **ong, J Wang, L Tao, S Li, Y Yi, X Zou… - Electronics, 2023 - mdpi.com
With the increasing use of electronic commerce, online purchasing users have been rapidly
rising. Predicting user behavior has therefore become a vital issue based on the collected …

The global organizational behavior analysis for financial risk management utilizing artificial intelligence

S Yang, H Wu - Journal of Global Information Management (JGIM), 2021 - igi-global.com
Enterprise financial risks are analyzed utilizing the theory of organizational behavior, and a
financial risk management system is constructed to improve the design and algorithm of the …

Interactive design psychology and artificial intelligence-based innovative exploration of Anglo-American traumatic narrative literature

X Hou, N Omar, J Wang - Frontiers in Psychology, 2022 - frontiersin.org
The advent of the intelligence age has injected new elements into the development of
literature. The synergic modification of Anglo-American (AAL) traumatic narrative (TN) …

RETRACTED: The evaluation of enterprise supply chain intelligent manufacturing system for agricultural interconnection data based on machine learning

C Yu, L Li, J Li, P Qin, B Zhang - Expert systems, 2024 - Wiley Online Library
The present work aims to promote the modernization of the real economy and facilitate the
manufacturing industry to construct an intelligent manufacturing system. Analysis and …

Advancing e-commerce user purchase prediction: Integration of time-series attention with event-based timestamp encoding and Graph Neural Network-Enhanced …

S Zhou, NS Hudin - Plos one, 2024 - journals.plos.org
In recent years, the global e-commerce landscape has witnessed rapid growth, with sales
reaching a new peak in the past year and expected to rise further in the coming years. Amid …