Ensemble multifeatured deep learning models and applications: A survey
Ensemble multifeatured deep learning methodology has emerged as a powerful approach
to overcome the limitations of single deep learning models in terms of generalization …
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 …
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
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 …
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
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 …
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
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 …
to digital-driven services, and improve the overall competitiveness of telecom enterprises …
A user purchase behavior prediction method based on xgboost
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 …
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 …
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) …
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 …
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 …
reaching a new peak in the past year and expected to rise further in the coming years. Amid …