All systems operational
For Researchers For Publishers Login Register
Home Publications Journal of King Saud University - Computer and Inf
Q1 2026

MSFFN: Multi-scale feature fusion network for cross-border M&A success prediction based on global acquisition networks

Yue Liu
10.1007/s44443-026-00811-6 415 Views 0 Citations
0
Citations
415
Views
Abstract not available for this publication.
Cite this Article (APA)
Yue, L. (2026). MSFFN: Multi-scale feature fusion network for cross-border M&A success prediction based on global acquisition networks. Journal of King Saud University - Computer and Information Sciences. https://doi.org/10.1007/s44443-026-00811-6
Related Papers
A lightweight model for indoor object detection in unstructured scenes based on joint attention and …
Zhizhong Xing; Leping Li; Ying Yang; Wei Zhou; Guolan Ma; Shaochun Chen; Lechun · 2026
13
cites
457
DDM-YOLO: A lightweight oriented detection model for mature daylily fruits in complex environments
Minqiu Kuang; Xuejie Zou; Fangping Xie; Xiaojian Li; Shang Chen; Dawei Liu; Yuxu · 2026
8
cites
457
Information guided Levy flight for robot search in unknown environments
Weitao Zhao; Zati Hakim Azizul; Xin Lyu; Weijie Kuang · 2026
4
cites
432
3
cites
533
Bridging the gap: A comprehensive survey on AI-driven digital twin networks for future wireless syst…
Yousef Sanjalawe; Salam Fraihat; Salam Al-E’mari; Sharif Naser Makhadmeh · 2026
3
cites
443
Access
View Full Text via DOI
Published in
ISSN 1319-1578
Quartile Q1
AMS Score 100
Field Computer Science & AI
Publisher Elsevier / King Saud University
Country 🇸🇦 Saudi Arabia
View Journal Profile →
Authors
Publication Details
Year 2026
Language English
Added 06 Jul 2026