Results 21 to 30 of about 18,123 (142)

Translational pharmacokinetic-pharmacodynamic modeling of preclinical and clinical data of the oral MET inhibitor tepotinib to determine the recommended phase II dose. [PDF]

CPT Pharmacometrics Syst Pharmacol, 2021
Abstract Tepotinib is a highly selective and potent MET inhibitor in development for the treatment of patients with solid tumors. Given the favorable tolerability and safety profiles up to the maximum tested dose in the first‐in‐human (FIH) trial, an efficacy‐driven translational modeling approach was proposed to establish the recommended phase II dose
Xiong W, Friese-Hamim M, Johne A, Stroh C, Klevesath M, Falchook GS, Hong DS, Girard P, El Bawab S.   +8 more
europepmc   +2 more sources

Hybrid Energy Storage Capacity Optimization for Power Fluctuation Mitigation in Offshore Wind–Photovoltaic Hybrid Plants Using TVF-EMD

Processes
The large-scale integration of coordinated offshore wind and offshore photovoltaic (PV) generation introduces pronounced power fluctuations due to the intrinsic randomness and intermittency of renewable energy sources (RESs). These fluctuations pose significant challenges to the secure, stable, and economical operation of modern power systems.
Chenghuan Tian, Qinghu Zhang, Dan Mei, Xudong Zhang, Zhengping Li, Erqiang Chen   +5 more
openaire   +2 more sources

EMD-based filtering (EMDF) of low-frequency noise for speech enhancement [PDF]

, 2012
An Empirical Mode Decomposition based filtering (EMDF) approach is presented as a post-processing stage for speech enhancement. This method is particularly effective in low frequency noise environments.
Navin Chatlani, Soraghan, John J., John J. Soraghan, Soraghan, J.J., Chatlani, Navin   +4 more
core   +4 more sources

Performance Evaluation of Blind Modal Identification in Large-Scale Civil Infrastructure

Infrastructures, 2022
The monitoring and maintenance of existing civil infrastructure has recently received worldwide attention. Several structural health monitoring methods have been developed, including time-, frequency-, and time–frequency domain methods of modal ...
Ali Abasi, Ayan Sadhu
doaj   +1 more source

Development of an enhanced bidirectional recurrent neural network combined with time-varying filter-based empirical mode decomposition to forecast weekly reference evapotranspiration

Agricultural Water Management, 2023
Evapotranspiration is one of agricultural water management's most significant and impactful hydrologic processes. A new multi-decomposition deep learning-based technique is proposed in this study to forecast weekly reference evapotranspiration (ETo) in ...
Masoud Karbasi, Mehdi Jamei, Mumtaz Ali, Anurag Malik, Xuefeng Chu, Aitazaz Ahsan Farooque, Zaher Mundher Yaseen   +6 more
doaj   +1 more source

Efficient Calculation of the Lattice Thermal Conductivity by Atomistic Simulations with Ab Initio Accuracy

Advanced Theory and Simulations, Volume 5, Issue 2, February 2022., 2022
Force constant potentials provided via the hiphive package are combined with GPU‐accelerated molecular dynamics simulations via the GPUMD package to obtain an accurate, transferable, and highly efficient approach for sampling the dynamic properties of materials in general and the lattice thermal conductivity in particular.
Joakim Brorsson, Arsalan Hashemi, Zheyong Fan, Erik Fransson, Fredrik Eriksson, Tapio Ala‐Nissila, Arkady V. Krasheninnikov, Hannu‐Pekka Komsa, Paul Erhart   +8 more
wiley   +1 more source

Multivariable passive method for detection of islanding events in renewable energy based power grids

IET Renewable Power Generation, Volume 16, Issue 3, Page 497-516, 24 February 2022., 2022
Abstract Penetration of distributed generation resources (DGR) in power grid is rapidly increasing to meet future energy demand efficiently. It helps in mitigating the problems of high carbon emission, green house effect, and increased cost of oil and natural gases.
Nagendra Kumar Swarnkar, Om Prakash Mahela, Baseem Khan, Mahendra Lalwani   +3 more
wiley   +1 more source

Noise Source Identification of the Carpet Tufting Machine Based on the Single Channel Blind Source Separation and Time‐Frequency Signal Analysis

Shock and Vibration, Volume 2022, Issue 1, 2022., 2022
Noise source identification is the first key step to reduce the noise pressure level of the carpet tufting machine. For identifying the main noise sources of the carpet tufting machine, the single channel blind source separation (SCBSS) method is proposed to separate the acquired single channel noise, and the time‐frequency signal analysis is applied ...
Xiaowei Sheng, Xiaoyan Fang, Yang Xu, Yize Sun, Gabriele Cazzulani   +4 more
wiley   +1 more source

Hybrid Model for Method for Short‐Term Traffic Flow Prediction Based on Secondary Decomposition Technique and ELM

Mathematical Problems in Engineering, Volume 2022, Issue 1, 2022., 2022
Strong nonstationary and nonlinearity are the main characteristics in the short‐term traffic flow data, which frustrates traditional methods (e.g., autoregressive integrated moving average and deep belief network) to provide a satisfactory prediction.
LeiNa Zhao, XinYu Wen, YiMing Shao, ZhenYu Tang, Muazzam Maqsood   +4 more
wiley   +1 more source

Feature Extraction Method for Hidden Information in Audio Streams Based on HM‐EMD

Security and Communication Networks, Volume 2021, Issue 1, 2021., 2021
Using fake audio to spoof the audio devices in the Internet of Things has become an important problem in modern network security. Aiming at the problem of lack of robust features in fake audio detection, an audio streams’ hidden feature extraction method based on a heuristic mask for empirical mode decomposition (HM‐EMD) is proposed in this paper ...
Jiu Lou, Zhongliang Xu, Decheng Zuo, Hongwei Liu, Shehzad Ashraf Chaudhry   +4 more
wiley   +1 more source