Results 51 to 60 of about 2,032,077 (205)

Statistical analysis of uniaxial tensile and fatigue data of Ti-685 alloy at different temperatures

Forces in Mechanics, 2021
The probabilistic modelling on uniaxial tensile properties and fatigue life data is required for the safe gas turbine design. The probabilistic model will help the designer to calculate the risk factor at the applied load level and choose the proper ...
Surajit Kumar Paul, Anuradha Nayak Majila, D Chandru Fernando   +2 more
doaj   +1 more source

Bayesian Markov Random Rield Analysis for Protein Function Prediction Based on Network Data [PDF]

, 2010
Inference of protein functions is one of the most important aims of modern biology. To fully exploit the large volumes of genomic data typically produced in modern-day genomic experiments, automated computational methods for protein function prediction ...
Yiannis A I Kourmpetis, Cajo J F ter Braak, Kourmpetis, Y.I.A., Roeland C H J van Ham, Ham, R.C.H.J., van, Aalt D J van Dijk, Bink, M.C.A.M., van Dijk Aalt D. J., Kourmpetis Yiannis A. I., van Ham Roeland C. H. J., Dijk, A.D.J., van, Bink Marco C. A. M., Braak, C.J.F., ter, Marco C A M Bink, ter Braak Cajo J. F.   +14 more
core   +2 more sources

Comprehensive data aleatory uncertainty propagation in regression random forest using a Monte Carlo approach: a struggle with incomplete data provision using a case study on probabilistic soil moisture regionalization

Frontiers in Environmental Science
Data uncertainty never decreases along processing chains and should always be reported alongside processing results. In this study, we attempt to propagate aleatory data uncertainty through a multiple regression analysis to generate regionalized ...
Hendrik Paasche, Ségolène Dega, Martin Schrön, Peter Dietrich, Peter Dietrich   +4 more
doaj   +1 more source

Machine Learning Approaches for Probabilistic Prediction of Coastal Freak Waves

Journal of Marine Science and Engineering
Coastal freak waves (CFWs) are sudden and hazardous wave events that occur near shorelines and can pose serious threats to coastal visitors and infrastructure.
Dong-Jiing Doong, Wei-Cheng Chen, Fan-Ju Lin, Chi Pan, Cheng-Han Tsai   +4 more
doaj   +1 more source

Leveraging sanitized data for probabilistic electricity market prediction: a Singapore case study

Frontiers in Energy Research, 2023
In deregulated electricity markets, predicting price and load is a common practice. However, market participants and shareholders often seek deeper insights into other system statuses associated with price prediction, such as power flow and market share ...
Ning Zhou Xu, Xiang Gao, Songjian Chai, Ming Niu, Jia Xin Yang   +4 more
doaj   +1 more source

Probabilistic Prediction in scikit-learn

, 2021
This research is partly funded by the Swedish Knowledge Foundation through the industrial graduate school INSIDR.
Sweidan, Dirar, Johansson, Ulf
openaire   +2 more sources

Second‑level Gust Forecast Based Dynamic Switching Strategy for Wind Turbine Speed‑Reserve Mode [PDF]

Dianli jianshe
[Objective] High wind penetration reduces system inertia and threatens frequency stability，and the large-scale integration of wind power makes this problem more complex.
HU Zhangqin, WANG Jingyu, HUANG Sizhe, HUANG Yixiang, SHI Dongyuan, YAO Wei
doaj   +1 more source

Probabilistic Prompt Learning for Dense Prediction

2023 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2023
Recent progress in deterministic prompt learning has become a promising alternative to various downstream vision tasks, enabling models to learn powerful visual representations with the help of pre-trained vision-language models. However, this approach results in limited performance for dense prediction tasks that require handling more complex and ...
Hyeongjun Kwon, Taeyong Song, Somi Jeong, Jin Kim 0005, Jinhyun Jang, Kwanghoon Sohn   +5 more
openaire   +3 more sources

Near‐term lake water temperature forecasts can be used to anticipate the ecological dynamics of freshwater species

Ecosphere
Near‐term ecological forecasting can be used to improve operational resource management in freshwater ecosystems. Here, we developed a framework that uses water temperature forecasting as a tool to predict the migrations of Atlantic salmon (Salmo salar ...
Ricardo Paíz, R. Quinn Thomas, Cayelan C. Carey, Elvira deEyto, Ian D. Jones, Austin D. Delany, Russell Poole, Pat Nixon, Mary Dillane, Valerie McCarthy, Suzanne Linnane, Eleanor Jennings   +11 more
doaj   +1 more source

Data-Driven Proactive Early Warning of Grid Congestion Probability Based on Multiple Time Scales

Energies
With the development of new power systems, the increased interactive demand on the load side, and the high proportion of renewable energy sources on the power side, grid congestion problems due to increased system uncertainty are becoming more frequent ...
Haobo Fu, Ruizhuo Wang, Bingxu Zhai, Yuanzhuo Li, Pengyuan Li, Rui Zhang, Haoyuan He, Siyang Liao   +7 more
doaj   +1 more source