Results 91 to 100 of about 98,212 (294)

Accelerating Primary Screening of USP8 Inhibitors from Drug Repurposing Databases with Tree‐Based Machine Learning

Advanced Intelligent Discovery, EarlyView.
This study introduces a tree‐based machine learning approach to accelerate USP8 inhibitor discovery. The best‐performing model identified 100 high‐confidence repurposable compounds, half already approved or in clinical trials, and uncovered novel scaffolds not previously studied. These findings offer a solid foundation for rapid experimental follow‐up,
Yik Kwong Ng, Sharon Ai Er Lam, Wei Chun Lim, Hannah Hui Min Toh, Shi Jun Ang   +4 more
wiley   +1 more source

Characteristics Analysis of Inertia Damping of Grid-Connected System of Direct-Drive Wind Power Generation

IEEE Access, 2020
As large-scale direct-drive wind turbine generator set is connected to the grid, the power system will face problems such as reduced inertia and insufficient frequency modulation capability. The control of wind turbine virtual inertia is an important way
Shengqing Li, Yu Jiang, Baling Fang, Chenyang Wang   +3 more
doaj   +1 more source

Large‐Scale Machine Learning to Screen for Small‐Molecule Senolytics

Advanced Intelligent Discovery, EarlyView.
A consistent workflow underpins all experiments in this study. A dedicated model‐selection dataset first identifies optimal hyperparameters for each algorithm. Models are then trained and rigorously evaluated on independent sets of molecules using the senolytic ratio SR. Comprehensive hyperparameter exploration across SMILES representations, task types,
Alexis Dougha, Jesus Gil, Pedro J. Ballester   +2 more
wiley   +1 more source

A multi-energy inertia-based coordinated voltage and frequency regulation in isolated hybrid power system using PI-TISMC

Frontiers in Energy Research
This paper proposes novel multi-energy inertia support for simultaneous frequency and voltage control of an isolated hybrid power system (IHPS). Multi-energy storage (gas inertia – hydrogen storage, thermal inertia – solar thermal storage, hydro inertia –
Kothalanka K. Pavan Kumar, Dulal Chandra Das, Nirmala Soren, A. S. Veerendra, Aymen Flah, Aymen Flah, Aymen Flah, Aymen Flah, Abdulaziz Alkuhayli, Rahmat Ullah   +9 more
doaj   +1 more source

Virtual Prototyping, Identification and Control of a Twin Rotor with 3DOF [PDF]

, 2017
This paper presents a methodology for identification of the physical characteristics, generation of the mathematical model through virtual prototyping and control of the didactic plant of a twin rotor.
Chaves, W. D. (Wagner), Kaneko, E. H. (Eduardo), Mollon, M. F. (Matheus), Montezuma, M. A. (Marcio), Niro, L. (Lucas), Shimada, B. M. (Bruno)   +5 more
core   +1 more source

Robust Reinforcement Learning Control Framework for a Quadrotor Unmanned Aerial Vehicle Using Critic Neural Network

Advanced Intelligent Systems, Volume 7, Issue 3, March 2025.
Quadrotor unmanned aerial vehicle control is critical to maintain flight safety and efficiency, especially when facing external disturbances and model uncertainties. This article presents a robust reinforcement learning control scheme to deal with these challenges.
Yu Cai, Yefeng Yang, Tao Huang, Boyang Li   +3 more
wiley   +1 more source

VAE+DDPG: An Attention‐Enhanced Variational Autoencoder for Deep Reinforcement Learning‐Based Autonomous Navigation in Low‐Light Environments

Advanced Intelligent Systems, EarlyView.
Variational Autoencoder+Deep Deterministic Policy Gradient addresses low‐light failures of infrared depth sensing for indoor robot navigation. Stage 1 pretrains an attention‐enhanced Variational Autoencoder (Convolutional Block Attention Module+Feature Pyramid Network) to map dark depth frames to a well‐lit reconstruction, yielding a 128‐D latent code ...
Uiseok Lee, Chanhong Hwang, Hyunseok Kang, Yechan Park, Hangwoo Jin, Tuan Anh Nguyen, Eunmi Choi, Dugki Min   +7 more
wiley   +1 more source

Coordinated control of grid-following and grid-forming energy storage for virtual inertia response considering frequency modal characteristics

International Journal of Electrical Power & Energy Systems
Grid-following energy storage (GFL-ES) and grid-forming energy storage (GFM-ES) will coexist for a certain period into the future as one of the frequency regulation resources in low-inertia power systems.
Hengning Yu, Liangzhong Yao, Shuai Liang, Jian Xu, Fan Cheng, Ming Wu   +5 more
doaj   +1 more source

System Identification of Robotic Fish Swimming Reveals Roles of Reactive and Resistive Fluid Force in Two Distinct Swimming Gaits

Advanced Intelligent Systems, EarlyView.
System identification and particle image velocimetry reveal how a modular robotic fish changes thrust physics across gaits. A traveling‐wave, fish‐like motion draws thrust from resistive drag, while a resonant standing‐wave motion is driven by reactive pressure.
Donghao Li, Hankun Deng, Kundan Panta, Azar Panah, Bo Cheng   +4 more
wiley   +1 more source

Population pharmacokinetics and dose–response relationships of mitoxantrone in children with acute myeloid leukaemia

British Journal of Clinical Pharmacology, EarlyView.
Background Information on mitoxantrone pharmacokinetics in children is lacking and reduced dosing regimens applied to infants are supported by limited scientific rationale. The current study characterized mitoxantrone pharmacokinetics in a childhood acute myeloid leukaemia patient population and provides a data‐informed assessment of dosing.
Andrew M. Brandon, Hinke Huisman‐Siebinga, Shelby Barnett, Paul Wetherell, Pamela Kearns, Brenda Gibson, Nicholas Heaney, Owen Smith, André Baruchel, Arnaud Petit, Andrew Moore, Kayode Ogungbenro, Alwin D. R. Huitema, Gareth J. Veal   +13 more
wiley   +1 more source