X-net: a dual encoding–decoding method in medical image segmentation
Medical image segmentation has the priori guiding significance for clinical diagnosis and
treatment. In the past ten years, a large number of experimental facts have proved the great …
treatment. In the past ten years, a large number of experimental facts have proved the great …
Efficient convolutional neural networks and network compression methods for object detection: A survey
Object detection is one of the most basic and important research tasks in the field of
computer vision. The general trend in object detection has been to design large and over …
computer vision. The general trend in object detection has been to design large and over …
DLRFNet: deep learning with random forest network for classification and detection of malaria parasite in blood smear
In healthcare, observing the features and areas of malaria in microscopic images is crucial
for the diagnosis and treatment of plasmodium malaria parasites for automated detection …
for the diagnosis and treatment of plasmodium malaria parasites for automated detection …
AGEN-AODV: an intelligent energy-aware routing protocol for heterogeneous mobile ad-hoc networks
M Nabati, M Maadani, MA Pourmina - Mobile Networks and Applications, 2022 - Springer
Abstract Mobile Ad-hoc Networks (MANETs) consist of mobile nodes that usually have
limited energy resources. MANET routing protocols should consider the dynamics and …
limited energy resources. MANET routing protocols should consider the dynamics and …
A binary dandelion algorithm using seeding and chaos population strategies for feature selection
Y Zhao, J Dong, X Li, H Chen, S Li - Applied Soft Computing, 2022 - Elsevier
Feature selection (FS) is an important pre-processing step in data mining and pattern
recognition. It can effectively compress the dimensionality of the feature space to reduce …
recognition. It can effectively compress the dimensionality of the feature space to reduce …
Efficient person reidentification for iot-assisted cyber–physical systems
The main objective of this study is to propose a cyber–physical system (CPS)-based person
reidentification (P-ReID) framework for smart surveillance. The Internet of Things (IoT)-based …
reidentification (P-ReID) framework for smart surveillance. The Internet of Things (IoT)-based …
GMDL: Toward precise head pose estimation via Gaussian mixed distribution learning for students' attention understanding
Students' head pose estimation is a very difficult task since the training data is insufficient for
many head pose angles. In this study, we consider each head pose image as a Gaussian …
many head pose angles. In this study, we consider each head pose image as a Gaussian …
A background-aware correlation filter with adaptive saliency-aware regularization for visual tracking
J Zhang, T Yuan, Y He, J Wang - Neural Computing and Applications, 2022 - Springer
Recently, the discriminative correlation filters (DCF)-based methods have performed
excellent precision and speed in object tracking. Due to the continuous change and …
excellent precision and speed in object tracking. Due to the continuous change and …
An intelligent blockchain-based access control framework with federated learning for genome-wide association studies
H Wang, X Zhang, Y Xia, X Wu - Computer Standards & Interfaces, 2023 - Elsevier
Abstract Genome-Wide Association Studies (GWAS) aim to find various variations in human
disorders and have become one of the most commonly-used methods to find the …
disorders and have become one of the most commonly-used methods to find the …
MDFL: Multi-domain diffusion-driven feature learning
High-dimensional images, known for their rich semantic information, are widely applied in
remote sensing and other fields. The spatial information in these images reflects the object's …
remote sensing and other fields. The spatial information in these images reflects the object's …