Results 81 to 90 of about 22,675,219 (258)
Objective To evaluate utility of an artificial intelligence (AI) health coach for systemic sclerosis (SSc) self‐management and identify patterns associated with participant engagement. Methods We conducted a mixed methods study in which an AI health coach, powered by a large language model (LLM), was used to support self‐management for SSc.
Nirali Shah +4 more
wiley +1 more source
Insulation deterioration, which is mainly caused by partial discharge (PD) occurring inside power transformers, is one of the prime reasons to cause transformer faults.
Haikun Shang +4 more
doaj +1 more source
Integrated energy systems are central to advancing efficient energy utilization and low-carbon transformation. In the current context, the inherent variability of high-penetration renewable sources (e.g., wind and solar) and the volatility of multi ...
Zihao Huang +3 more
doaj +1 more source
Objective The diagnosis of fibromyalgia (FM) is challenging due to the absence of definitive biomarkers, numerous overlapping comorbidities, and its reliance on patient‐reported symptoms. Discrepancies between diagnostic criteria and clinical practice imply the possibility of diagnostic biases, complicating timely and accurate identification.
Sung‐A Kim +2 more
wiley +1 more source
With the continuous expansion of the power system scale and the continuous development of the power network, the traditional power system management and optimization methods face many challenges.
Guoqing Li +6 more
doaj +1 more source
A Q‐Learning Algorithm to Solve the Two‐Player Zero‐Sum Game Problem for Nonlinear Systems
A Q‐learning algorithm to solve the two‐player zero‐sum game problem for nonlinear systems. ABSTRACT This paper deals with the two‐player zero‐sum game problem, which is a bounded L2$$ {L}_2 $$‐gain robust control problem. Finding an analytical solution to the complex Hamilton‐Jacobi‐Issacs (HJI) equation is a challenging task.
Afreen Islam +2 more
wiley +1 more source
Low-light image enhancement using generative adversarial networks
In low-light environments, the amount of light captured by the camera sensor is reduced, resulting in lower image brightness. This makes it difficult to recognize or completely lose details in the image, which affects subsequent processing of low-light ...
Litian Wang +3 more
doaj +1 more source
This paper addresses the issues of significant frequency regulation losses, short lifespan and poor economic performance of battery energy storage system in the combined frequency regulation process with the thermal power unit by proposing a coordinated ...
Gangui Yan +6 more
doaj +1 more source
Fast control DC-link voltage is the key to enhance Low-Voltage Ride-Through (LVRT) for the Permanent Magnet Synchronous Generator (PMSG). When grid voltage dips deeply, by the constraint of the capacity of the grid-side converter and reactive power ...
Cheng Zhong, Lai Wei, Gangui Yan
doaj +1 more source
dynoGP: Deep Gaussian Processes for Dynamic System Identification
This work introduces a novel class of deep models for system identification, dynamical deep Gaussian processes, which combine the strengths of data‐driven methods, such as those based on neural network architectures, with the ability to output a probability distribution for uncertainty representation.
Alessio Benavoli +3 more
wiley +1 more source

