[HTML][HTML] Enhancing medical image analysis with unsupervised domain adaptation approach across microscopes and magnifications

T Ilyas, K Ahmad, DMS Arsa, YC Jeong… - Computers in Biology and …, 2024‏ - Elsevier
In the domain of medical image analysis, deep learning models are heralding a revolution,
especially in detecting complex and nuanced features characteristic of diseases like tumors …

No-reference virtual reality image quality evaluator using global and local natural scene statistics

AKR Poreddy, RBC Ganeswaram… - IEEE Transactions …, 2023‏ - ieeexplore.ieee.org
With the rapid proliferation of virtual reality (VR) technologies, the usage of VR in
multimedia, education, and social media platforms has increased due to realistic and …

SGF3D: Similarity-guided fusion network for 3D object detection

C Li, G Wang, Q Long, Z Zhou - Image and Vision Computing, 2024‏ - Elsevier
The representation of pseudo point cloud can significantly improve the precision of 3D
object detection. However, existing pseudo point cloud-based methods typically fuse the …

Base on contextual phrases with cross-correlation attention for aspect-level sentiment analysis

C Zhu, B Yi, L Luo - Expert Systems with Applications, 2024‏ - Elsevier
In recent years, sentiment analysis has emerged as a prominent area of research within the
field of natural language processing. Particularly, aspect-level sentiment classification has …

Fast and robust LiDAR-inertial odometry by tightly-coupled iterated Kalman smoother and robocentric voxels

J Liu, Y Zhang, X Zhao, Z He, W Liu… - IEEE Transactions on …, 2024‏ - ieeexplore.ieee.org
This paper presents a fast LiDAR-inertial odometry (LIO) that is robust to aggressive motion.
To achieve robust tracking in aggressive motion scenes, we exploit the continuous scanning …

Design and hierarchical analysis of magnetic actuated robot: A governing equation based approach

S Wei, J Zhang, D Chen - Computers in Biology and Medicine, 2024‏ - Elsevier
As the alternative solution to the conventional guidewire, the magnetic robot can help
interventionists perform percutaneous coronary intervention (PCI) because magnetic fields …

Attentive graph structure learning embedded in deep spatial-temporal graph neural network for traffic forecasting

P Bikram, S Das, A Biswas - Applied Intelligence, 2024‏ - Springer
A smooth traffic flow is very crucial for an intelligent traffic system. Consequently, traffic
forecasting is critical in achieving unwrinkled traffic flow. However, due to its spatial and …

Complex networks after centrality-based attacks and defense

M Zafar, K Kifayat, A Gul, U Tahir… - Complex & Intelligent …, 2024‏ - Springer
Exploration in complex networks has surged. Centrality measures play a pivotal role in
pinpointing essential components within these networks. Previous work focus on nodes with …

A double-embedding hidden image encryption and authentication scheme based on compressed sensing and double random phase encoding

N Ren, G Cheng, D **e, F Chen, B Li - Multimedia Tools and Applications, 2024‏ - Springer
The image may be maliciously tampered when transmitted on the shared platform, and the
receiver cannot determine whether the received image is a true image. In order to solve the …

PFNet: Part-guided feature-combination network for vehicle re-identification

J Qian, J Zhao - Multimedia Tools and Applications, 2024‏ - Springer
With the development of highways, there has been an increase in toll evasion by
unscrupulous individuals who employ various means to avoid paying fees. This has made it …