Results 131 to 140 of about 4,909,083 (351)

DualPG‐DTA: A Large Language Model‐Powered Graph Neural Network Framework for Enhanced Drug‐Target Affinity Prediction and Discovery of Novel CDK9 Inhibitors Exhibiting in Vivo Anti‐Leukemia Activity

Advanced Science, EarlyView.
This study introduces DualPG‐DTA, a framework integrating two pre‐trained models to generate molecular and protein representations. It constructs dual graphs processed by specialized neural networks with dynamic attention for feature fusion, achieving superior benchmark performance.
Yihao Chen, Jindi Huang, Cong Liu, Shipeng Zhang, Xinze Li, Zhang Zhang, Tie‐Gen Chen, Ling Wang   +7 more
wiley   +1 more source

Sensor-Oriented Framework for Underwater Acoustic Signal Classification Using EMD–Wavelet Filtering and Bayesian-Optimized Random Forest

Sensors
Ship acoustic signal classification is essential for vessel identification, underwater navigation, and maritime security. Traditional methods struggle with the non-stationary nature and noise of ship acoustic signals, reducing classification accuracy. To
Sergii Babichev, Oleg Yarema, Yevheniy Khomenko, Denys Senchyshen, Bohdan Durnyak   +4 more
doaj   +1 more source

Efficient Rollout Strategies for Bayesian Optimization [PDF]

, 2020
Eric Hans Lee, David Eriksson, Bolong Cheng, Michael McCourt, David Bindel   +4 more
openalex   +1 more source

Transient Antiskyrmion‐Mediated Topological Transitions in Isotropic Magnets

Advanced Science, EarlyView.
A transient antiskyrmion‐mediated pathway that drives repeated stripe‐to‐skyrmion transitions is revealed, producing a net increase in topological charge in isotropic Dzyaloshinskii–Moriya interaction films. Experiments and simulations identify the antiskyrmion as a metastable excitation, enabling stochastic bitstream generation for probabilistic ...
Bingqian Dai, Tianyi Wang, Albert Lee, Shijie Xu, Zhongjian Bian, Xinyue Zhu, Puyang Huang, Aadi Chaturvedi, Yaochen Li, Yang Cheng, Qingyuan Shu, Haoran He, Hanshen Huang, Lixuan Tai, Kin Wong, Jinbo Yang, Anjan Soumyanarayanan, Zhaochu Luo, Kang L. Wang   +18 more
wiley   +1 more source

Temperature prediction model for coal spontaneous combustion based on Bayesian optimization support vector regression

Gong-kuang zidonghua
To address the issue that traditional coal spontaneous combustion temperature prediction models do not consider multicollinearity between indicator gases and temperature data and have insufficient prediction accuracy, a coal spontaneous combustion ...
YANG Haiyan, HU Xincheng, CAI Jiawen, YU Zhaoyang   +3 more
doaj   +1 more source

Bayesian Optimization For Choice Data [PDF]

, 2023
Alessio Benavoli, Dario Azzimonti, Dario Piga   +2 more
openalex   +1 more source

Determination of the Exchange Current Density at Lithium │ Polymer Electrolyte Interfaces

Advanced Science, EarlyView.
This work presents a comprehensively validated method to determine the exchange current density (j0) at the interface of lithium metal and polymer electrolytes by combining electrochemical impedance spectroscopy with Bayesian inference and distribution of relaxation times analyses to successfully deconvolute solid electrolyte interphase and charge ...
Katrin Geng, Bryce A. Tappan, Stefano Passerini, Yang Shao‐Horn, Dominic Bresser   +4 more
wiley   +1 more source

Comparison of N-BEATS with Standalone and Hybrid Deep Learning Models in Monthly Inflow Forecasting to the Aras Dam Reservoir: A Feature Selection Analysis

Journal of Agricultural Sciences
Reservoir dams play a pivotal role in water resource management. Accurate prediction of inflow to reservoirs significantly enhances operational performance.
Elman Athari, Mohammad Taghi Aalami, Mohammad Taghi Sattari   +2 more
doaj   +1 more source

A Bayesian-Grouping Based Hybrid Distributed Cooperative Evolutionary Optimization for Large-Scale Flexible Job-Shop Scheduling Problem [PDF]

, 2021
Jianxing Liu, Zhibo Sui, Xiaoxia Li, Jie Yang   +3 more
openalex   +1 more source

Preferential Bayesian Optimization

, 2017
Bayesian optimization (BO) has emerged during the last few years as an effective approach to optimizing black-box functions where direct queries of the objective are expensive. In this paper we consider the case where direct access to the function is not possible, but information about user preferences is.
Gonzalez, Javier, Dai, Zhenwen, Damianou, Andreas, Lawrence, Neil D.   +3 more
openaire   +2 more sources