Results 51 to 60 of about 38,147 (211)

Petascale Tcl with NAMD, VMD, and Swift/T [PDF]

2014 First Workshop for High Performance Technical Computing in Dynamic Languages, 2014
Tcl is the original embeddable dynamic language. Introduced in 1990, Tcl has been the foundation of the scripting interface of the popular biomolecular visualization and analysis program VMD since 1995 and was extended to the parallel molecular dynamics program NAMD in 1999.
James C. Phillips, John E. Stone, Kirby L. Vandivort, Timothy G. Armstrong, Justin M. Wozniak, Michael Wilde, Klaus Schulten   +6 more
openaire   +1 more source

Condition Classification of Water-Filled Underground Siphon Using Acoustic Sensors

Sensors, 2019
Siphons have been widely used in water supply systems and sewage networks. However, it is difficult to implement non-destructive testing due to structural complexity and limited accessibility.
Xuefeng Zhu, Guoyong Huang, Zao Feng, Jiande Wu   +3 more
doaj   +1 more source

Modeling and simulation of VMD desalination process by ANN [PDF]

Computers & Chemical Engineering, 2016
Abstract In this work, an artificial neural network (ANN) model based on the experimental data was developed to study the performance of vacuum membrane distillation (VMD) desalination process under different operating parameters such as the feed inlet temperature, the vacuum pressure, the feed flow rate and the feed salt concentration.
Wensheng Cao, Qiang Liu, Yongqing Wang, Iqbal M. Mujtaba   +3 more
openaire   +3 more sources

Air quality forecasting using a spatiotemporal hybrid deep learning model based on VMD–GAT–BiLSTM

Scientific Reports
The precise forecasting of air quality is of great significance as an integral component of early warning systems. This remains a formidable challenge owing to the limited information of emission source and the considerable uncertainties inherent in ...
Xiaohu Wang, Suo Zhang, Yi Chen, Longying He, Yongmei Ren, Zhen Zhang, Juan Li, Shiqing Zhang   +7 more
semanticscholar   +1 more source

Visualisation of cyclic and multi-branched molecules with VMD [PDF]

Journal of Molecular Graphics and Modelling, 2009
We report the addition of two visualisation algorithms, termed PaperChain and Twister, to the freely available Visual Molecular Dynamics (VMD) package. These algorithms produce visualisations of complex cyclic molecules and multi-branched polysaccharides and are a generalization and optimization of those we previously developed in a standalone package ...
Simon, Cross, Michelle M, Kuttel, John E, Stone, James E, Gain   +3 more
openaire   +2 more sources

Dynamic Prediction Model of Crop Canopy Temperature Based on VMD-LSTM

智慧农业
[Objective]Accurate prediction of crop canopy temperature is essential for comprehensively assessing crop growth status and guiding agricultural production.
WANG Yuxi, HUANG Lyuwen, DUAN Xiaolin
doaj   +1 more source

Day-ahead seasonal solar radiation prediction, combining VMD and STACK algorithms

Clean Energy, 2023
This article proposes a method for accurately predicting solar irradiance over a 24-hour horizon to forecast photovoltaic energy generation in a positive-energy building.
S. El Bakali, Ouadi Hamid, S. Gheouany
semanticscholar   +1 more source

Design of a robot system for improved stress classification using time–frequency domain feature extraction based on electrocardiogram

Paladyn
In recent days, stress is a major phenomenon that adversely affects both individuals and communities. The research in computing the stress factor has wider advantages as it improves personal learning, learning operations, and high productivity that ...
Malhotra Vikas, Saini Gurpreet Singh, Malhotra Sumit, Popli Renu   +3 more
doaj   +1 more source

Short-term Wind Power Prediction Based on Improved Dung Beetle Optimization Algorithm [PDF]

Zhengzhou Daxue xuebao. Gongxue ban
A short-term wind power prediction model based on POTDBO-VMD-CNN-BiLSTM was proposed to improve the accuracy of short-term wind power prediction.
JIANG Jiandong, ZHANG Haifeng, GUO Jiaqi   +2 more
doaj   +1 more source

Short-Term Traffic Flow Prediction Based on VMD and IDBO-LSTM

IEEE Access, 2023
To improve the accuracy of short term traffic flow prediction and to solve the problems of nonlinearity of short term traffic flow, more noise in the data, and more difficult to determine the parametes of long short term memory networks, a combined ...
Ke Zhao, Dudu Guo, Miao Sun, Chenao Zhao, Hongbo Shuai   +4 more
semanticscholar   +1 more source