Results 141 to 150 of about 920,111 (198)
Review on enhancing clinical decision support system using machine learning
Abstract Clinical decision‐making is a complex patient‐centred process. For an informed clinical decision, the input data is very thorough ranging from detailed family history, environmental history, social history, health‐risk assessments, and prior relevant medical cases.
Anum Masood +4 more
wiley +1 more source
Robust SAR Waveform Design for Extended Target in Spectrally Dense Environments. [PDF]
Zhang R +5 more
europepmc +1 more source
Enhancing generalized spectral clustering with embedding Laplacian graph regularization
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 +5 more
wiley +1 more source
Accelerated first-order optimization under nonlinear constraints. [PDF]
Muehlebach M, Jordan MI.
europepmc +1 more source
AT‐AER: Adversarial Training With Adaptive Example Reuse
ABSTRACT Adversarial training (AT) is widely regarded as a crucial defense method for deep neural networks against adversarial attacks. Most of the existing AT methods suffer from the problems of insufficient coverage of perturbation space and robust overfitting.
Meng Hu +5 more
wiley +1 more source
Topology-Informed Quasi-Static Motion Planning for Continuum Robots with Contacts. [PDF]
Wang Y, Chen Y.
europepmc +1 more source
Abstract The rapid growth of distributed energy resources (DERs) is reshaping the operational landscape of transmission and distribution networks, creating new challenges for maintaining system‐wide security, economic efficiency and flexibility. Transmission‐distribution (T‐D) coordination has emerged as an essential paradigm for facilitating multi ...
Yining Yang +4 more
wiley +1 more source
AsynDBT: asynchronous distributed bilevel tuning for efficient in-context learning with large language models. [PDF]
Ma H +5 more
europepmc +1 more source
YOLO‐GDCNN: Real‐Time Operating Point Detection for Live Working Robots in the Power Industry
ABSTRACT In the power industry maintenance, the capability of live working robots to detect and operate with power components in real time is paramount. This paper proposes a cascaded detection framework for real‐time detection of live working operation points, named YOLO‐GDCNN. The framework consists of two parts.
Haoning Zhao +7 more
wiley +1 more source
Quantum Computing for Transport Network Optimization. [PDF]
Ju J +7 more
europepmc +1 more source

