Results 81 to 90 of about 1,709,470 (196)

Determination of the distribution of sound source intensities in subsonic and supersonic jets [PDF]

Equations relating crossed beam space-time correlations to the sound source strength per unit length of an idealized jet are presented and applied to actual measurements in unheated jets at M = 0.71 and M = 1.0.
Damkevala, R. J., Norman, R. S.
core   +1 more source

Short-Term Power Load Forecasting of Multi-Charging Piles Based on Improved Gate Recurrent Unit

IEEE Access
In order to accurately predict the power consumption data of charging piles, assist related enterprises to accurately predict the benefits of charging piles and further optimize the relationship between households and transformers, this paper proposes an
Zhaolei He, Shiyun Chen, Nan Pan, Tingjie Ba, Cong Lin, Xiaohua Yang, Guangming Li   +6 more
doaj   +1 more source

KNU-DTI: KNowledge United Drug-Target Interaction prediction

Computers in Biology and Medicine
Accurately predicting drug-target protein interactions (DTI) is a cornerstone of drug discovery, enabling the identification of potential therapeutic compounds. Sequence-based prediction models, despite their simplicity, hold great promise in extracting essential information directly from raw sequences.
Ryong Heo, Dahyeon Lee, Byung Ju Kim, Sangmin Seo, Sanghyun Park, Chihyun Park   +5 more
openaire   +2 more sources

Uncertainty quantification-based framework for predicting degradation trends of proton exchange membrane fuel cell

Green Energy and Intelligent Transportation
Accurately predicting the degradation trends of proton exchange membrane fuel cells (PEMFCs) can provide a solid basis for optimizing the control of vehicles and stations based on PEMFCs.
Bingxin Guo, Changjun Xie, Wenchao Zhu, Yang Yang, Hao Li, Yang Li, Hangyu Wu   +6 more
doaj   +1 more source

Observation simulation experiments with regional prediction models [PDF]

Research efforts in FY 1990 included studies employing regional scale numerical models as aids in evaluating potential contributions of specific satellite observing systems (current and future) to numerical prediction. One study involves Observing System
Diak, George, Jedlovec, Gary, Kalb, Michael, Perkey, Donald J., Robertson, Franklin R.   +4 more
core   +1 more source

A methodology for neural spatial interaction modelling [PDF]

This paper presents a methodology for neural spatial interaction modelling. Particular emphasis is laid on design, estimation and performance issues in both cases, unconstrained and singly constrained spatial interaction.
Fischer, Manfred M., Reismann, Martin
core  

Prediction modeling of cigarette ventilation rate based on genetic algorithm backpropagation (GABP) neural network

EURASIP Journal on Advances in Signal Processing
The ventilation rate of cigarettes is an important indicator that affects the internal quality of cigarettes. When producing cigarettes, the unit may experience unstable ventilation rates, which can lead to a decrease in cigarette quality and pose ...
Jiaxin Wei, Zhengwei Wang, Shufang Li, Xiaoming Wang, Huan Xu, Xiushan Wang, Sen Yao, Weimin Song, Youwei Wang, Chao Mei   +9 more
doaj   +1 more source

Prediction and intelligent diagnosis of flue gas flowrate from coal-fired boilers based on deep learning and transfer learning

Meitan xuebao
The reliability of flue gas flowrate data is a critical prerequisite for achieving accurate carbon emission measurement. However, issues such as the inhomogeneity of the flow field, the selection of measurement points and the clogging of the sampling ...
Yushuang JIANG, Hanbin DU, Jiahui LU, Hongjian TANG, Lunbo DUAN   +4 more
doaj   +1 more source

Housing unit price prediction system

, 2018
The objective of this thesis was to compare different regression methods for predicting the price of housing unit, to design and develop a price estimation software and to determine which features are most important when determining the price of a housing unit.
openaire   +1 more source

PREDICTING FUTURE DESTINATIONS OF TACTICAL UNITS

, 2023
The purpose of this thesis is to apply machine learning techniques towards predicting the future destinations of tactical units that move in a known road network. These units are modeled after standard field artillery batteries. Each battery is made up of eleven vehicles: four launcher vehicles, four reloading vehicles, two support vehicles, and one ...
openaire   +1 more source