Results 201 to 210 of about 1,588 (293)

AML‐Net: Attention‐based multi‐scale lightweight model for brain tumour segmentation in internet of medical things

CAAI Transactions on Intelligence Technology, EarlyView.
Abstract Brain tumour segmentation employing MRI images is important for disease diagnosis, monitoring, and treatment planning. Till now, many encoder‐decoder architectures have been developed for this purpose, with U‐Net being the most extensively utilised. However, these architectures require a lot of parameters to train and have a semantic gap. Some
Muhammad Zeeshan Aslam, Basit Raza, Muhammad Faheem, Aadil Raza   +3 more
wiley   +1 more source

Existence and stability of time-fractional Keller-Segel-Navier-Stokes system with Poisson jumps. [PDF]

Sci Rep
Divyabala K, Durga N.
europepmc   +1 more source

Enhancing generalized spectral clustering with embedding Laplacian graph regularization

CAAI Transactions on Intelligence Technology, EarlyView.
Abstract An enhanced generalised spectral clustering framework that addresses the limitations of existing methods by incorporating the Laplacian graph and group effect into a regularisation term is presented. By doing so, the framework significantly enhances discrimination power and proves highly effective in handling noisy data.
Hengmin Zhang, Jian Yang, Bob Zhang, Yang Tang, Wenli Du, Bihan Wen   +5 more
wiley   +1 more source

Chebyshev centers and radii for sets induced by quadratic matrix inequalities. [PDF]

Math Control Signal Syst
Shakouri A, van Waarde HJ, Camlibel MK.
europepmc   +1 more source

A Robust Visual Inertial Odometry SLAM Considering Robot Self Dynamics

CAAI Transactions on Intelligence Technology, EarlyView.
ABSTRACT In this paper, to deal with the dynamic SLAM problem, we investigate feature tracking and IMU preintegration in visual‐inertial odometry (VIO) and design a robust SLAM framework that explicitly considers robot self‐dynamics. We propose a self‐dynamics and IMU‐aided feature tracker to predict initial optical flow and an iterative refinement ...
Junyin Qiu, Hong Liu, Tianwei Zhang
wiley   +1 more source

A two-stage deep learning model for risk identification in green supply chain finance. [PDF]

Sci Rep
Gao X.
europepmc   +1 more source

State of health estimation for lithium‐ion batteries using modern heuristic algorithm optimized multiple kernel extreme learning

Energy Conversion and Economics, EarlyView.
Abstract Accurate state of health (SOH) estimation is crucial for the safe operation of lithium‐ion batteries. To address the limited capability of traditional models in characterizing nonlinear degradation, this study proposes a novel data‐driven SOH estimation framework.
Yumin Zhang, Yongtao Liu, Pingfeng Ye, Xingquan Ji, Yunqi Wang, Kezhuang Xue, Xuchen Ma   +6 more
wiley   +1 more source

Comparison of deep and conventional machine learning methods in predicting joint moments in patients with cerebral palsy. [PDF]

Med Biol Eng Comput
Özates ME, Salami F, Wolf SI, Arslan YZ.   +3 more
europepmc   +1 more source

Uncovering hidden bias in neutron diffraction residual strain measurements

Journal of Applied Crystallography, EarlyView.
This work demonstrates that diffraction‐based residual strain calculations and uncertainty estimates depend on how grain populations are sub‐sampled, with important implications for interpreting residual stresses in heterogeneous materials with fine‐scale microstructure and strain gradients.When calculating residual strain via neutron or X‐ray ...
Cole Franz, Michael Prime, Jeffrey Bunn, Andrew Payzant, Katharine Page   +4 more
wiley   +1 more source