[PDF][PDF] Domain Adaptation-Based Deep Learning Framework for Android Malware Detection Across Diverse Distributions
This study addresses the challenge of Android malware detection, a critical issue due to the
pervasive threats affecting mobile devices. As Android malware evolves, conventional …
pervasive threats affecting mobile devices. As Android malware evolves, conventional …
Machine Learning-based Fault Prediction and Diagnosis of Brushless Motors
This paper presents a machine learning-based approach for predicting and diagnosing
faults in brushless motors. By utilizing extensive sensor data and employing algorithms such …
faults in brushless motors. By utilizing extensive sensor data and employing algorithms such …
[PDF][PDF] Optimization of Mobile Robot Delivery System Based on Deep Learning
In modern logistics and delivery systems, mobile robot delivery systems have garnered
significant attention due to their efficiency and flexibility. However, existing robot delivery …
significant attention due to their efficiency and flexibility. However, existing robot delivery …
Enhancing Organizational Performance: Harnessing AI and NLP for User Feedback Analysis in Product Development
T Tian, H Zichen, Y Tang - arxiv preprint arxiv:2405.04692, 2024 - arxiv.org
This paper explores the application of AI and NLP techniques for user feedback analysis in
the context of heavy machine crane products. By leveraging AI and NLP, organizations can …
the context of heavy machine crane products. By leveraging AI and NLP, organizations can …
Integrated mobile facility production and distribution scheduling planning; A synchronized solution framework
This research explores supply chain modeling for mobile production facilities, emphasizing
distribution and manufacturing processes. The focus is on a fleet of production-equipped …
distribution and manufacturing processes. The focus is on a fleet of production-equipped …
Research on Deep Learning-based Social Media Word-of-Mouth Analysis Model
NQ Wang - IEEE Access, 2024 - ieeexplore.ieee.org
With the popularization of social media, Word-of-mouth analysis, as an important market
research method, can help companies understand users' attitudes and opinions towards …
research method, can help companies understand users' attitudes and opinions towards …
The Model of Food Nutrition Feature Modeling and Personalized Diet Recommendation Based on the Integration of Neural Networks and K-Means Clustering
PM Lu, Z Zhang - Journal of Computational Biology and …, 2025 - journal.mri-pub.com
In recent years, the growing awareness of health-conscious eating habits and the rising
prevalence of lifestyle diseases, such as obesity and diabetes, have underscored the …
prevalence of lifestyle diseases, such as obesity and diabetes, have underscored the …
[PDF][PDF] Post-COVID-19 Green Marketing: An Empirical Examination of CSR Evaluation and Luxury Purchase Intention—The Mediating Role of Consumer Favorability …
C Li, Y Tang - Science - researchgate.net
Following the global COVID-19 pandemic, luxury consumption has increasingly shifted
towards a more rational approach, with consumers paying more attention to the actual value …
towards a more rational approach, with consumers paying more attention to the actual value …
Platooning Strategies for Truck Routing in Capacitated Road Networks
Z Huma - Authorea Preprints, 2025 - authorea.com
Platooning strategies for truck routing in capacitated road networks involve innovative
approaches aimed at optimizing logistics efficiency and minimizing environmental impact …
approaches aimed at optimizing logistics efficiency and minimizing environmental impact …
TOTAL VIEWS: 1294
This paper presents a machine learning-based approach for predicting and diagnosing
faults in brushless motors. By utilizing extensive sensor data and employing algorithms such …
faults in brushless motors. By utilizing extensive sensor data and employing algorithms such …