Results 121 to 130 of about 74,863 (268)

A medical disease assisted diagnosis method based on lightweight fuzzy SZGWO-ELM neural network model

Scientific Reports
The application of neural network model in intelligent diagnosis usually encounters challenges such as continuous adjustment of network parameters and significant cost in training the network facing numerous complex physiological data.
Qiuju Chen, Chenglong Zhang, Tianhao Peng, Youshun Pan, Jie Liu   +4 more
doaj   +1 more source

Low Resolution Spectral Templates For AGNs and Galaxies From 0.03 -- 30 microns

, 2010
We present a set of low resolution empirical SED templates for AGNs and galaxies in the wavelength range from 0.03 to 30 microns based on the multi-wavelength photometric observations of the NOAO Deep-Wide Field Survey Bootes field and the spectroscopic ...
A. H. Gonzalez, Alonso-Herrero, Ashby, Assef, Assef, Atlee, Brand, Brodwin, C. Jones, C. S. Kochanek, Condon, Conroy, Cool, D. Stern, de Vries, Devriendt, Donley, Donley, E. Le Floc'h, Eisenhardt, Elston, Fan, Fioc, Giavalisco, Gordon, Gorjian, Hickox, Hickox, Hogg, J. Moustakas, Jannuzi, Kozłowski, Lacy, Lacy, Leitherer, M. Brodwin, Mainzer, Martin, Morrissey, Murray, R. C. Hickox, R. Cool, R. J. Assef, Richards, Richards, Ross, S. S. Murray, Salvato, Silva, Stern, Stern, Strateva, The Dark Energy Survey Collaboration, W. Forman, Weedman, Yip   +55 more
core   +1 more source

3SD: Rotational symmetry single‐shot denoising in fluorescence microscopy

Journal of Microscopy, EarlyView.
Abstract Image noise is a fundamental problem in fluorescence microscopy analysis, especially in live cell imaging applications where the number of detected photons is limited due to low power of excitation lasers to prevent phototoxicity during extended imaging experiments.
Tijmen H. de Wolf, Pleun Engbers, Justine Perrin, Julie Nonnekens, Ihor Smal   +4 more
wiley   +1 more source

Pre‐anaesthetic risk assessment and management of dogs with myxomatous mitral valve disease: a spectrum of care narrative review

Journal of Small Animal Practice, EarlyView.
Myxomatous mitral valve disease, an acquired valvular degeneration, is the most common cardiac disorder in dogs, affecting approximately 10% of dogs in primary care veterinary practice. Dogs with myxomatous mitral valve disease frequently require anaesthesia for routine procedures.
I. Levinzon, L. Köster, E. Vettorato, A. H. Estrada   +3 more
wiley   +1 more source

A geophysical investigation of the Roter Kamm impact crater, Namibia

Meteoritics &Planetary Science, EarlyView.
Abstract The Roter Kamm impact crater is located in the southern Namib Desert. The crater has a diameter of 2.5 km and belongs to the category of simple, bowl‐shaped impact craters, with an elevated rim of fractured target rock. The crater's interior is completely buried beneath sediments, preventing extensive surface investigations of the bedrock ...
Hannah Nienhaus, Pritam Yogeshwar, Wiebke Mörbe, Bülent Tezkan, Yajun Liu, Bufelo Lushetile, Martin Melles   +6 more
wiley   +1 more source

Improved Beluga Whale Optimization for RFID Network Planning [PDF]

Jisuanji kexue
With the development of radio frequency identification(RFID) technology,the demand for its application is getting higher and higher,and the research in reader deployment is gradually deepening.In order to solve the RFID reader location planning problem ...
CHEN Yijun, ZHENG Jiali, LI Zhiqian, ZHANG Jiangbo, ZHU Xinghong
doaj   +1 more source

Flexible Job-shop Scheduling Optimization based on Improved Gray Wolf Algorithm

Frontiers in Computing and Intelligent Systems
This article proposed an improved gray wolf optimizer to deal with the flexible job-shop scheduling problem. By using a random key for coding job positions and adopting a local search strategy, we achieve group reconstruction and updating with the help of three good fitness values of the population, hence continuously searching for the optimal solution.
openaire   +1 more source

Financial Time Series Uncertainty: A Review of Probabilistic AI Applications

Journal of Economic Surveys, Volume 40, Issue 2, Page 915-953, April 2026.
ABSTRACT Probabilistic machine learning models offer a distinct advantage over traditional deterministic approaches by quantifying both epistemic uncertainty (stemming from limited data or model knowledge) and aleatoric uncertainty (due to inherent randomness in the data), along with full distributional forecasts.
Sivert Eggen, Tord Johan Espe, Kristoffer Grude, Morten Risstad, Rickard Sandberg   +4 more
wiley   +1 more source

Comparative Neuromechanical Wing‐Actuation Architectures of Flapping Flight in Insects, Hummingbirds, and Robots

Advanced Intelligent Systems, Volume 8, Issue 3, March 2026.
Natural fliers achieve remarkable aerial performance through diverse wing neuromechanical systems integrating actuation, sensing, and control. This study synthesizes neuromechanical architectures in insects and hummingbirds, identifying two key functional types‐Dual Neural‐Mechanical Oscillator and Neurally‐modulated Mechanical Oscillator‐ and ...
Suyash Agrawal, Jean‐Michel Mongeau, Bret W. Tobalske, Christopher Rahn, Bo Cheng   +4 more
wiley   +1 more source

GWO-XGBoost prediction algorithm for industrial wastewater quality key data

Gongye shui chuli
In order to solve the complex adjustment of XGBoost model parameters and further improve the accuracy of water quality data prediction，a predictin algorithm based on Gray Wolf Optimization（GWO） to optimize XGBoost.
NIU Jinghui
doaj   +1 more source