Results 31 to 40 of about 9,281,981 (341)
Modelling and control of the flame temperature distribution using probability density function shaping [PDF]
This paper presents three control algorithms for the output probability density function (PDF) control of the 2D and 3D flame distribution systems. For the 2D flame distribution systems, control methods for both static and dynamic flame systems are ...
Wang, Hong; id_orcid +3 more
core +1 more source
Probability Distribution of Random Ridge Factor [PDF]
In this paper, we concerned with the research about the probability distribution of random ridge factor. The estimator of regression parameter is characterized as the shrunken estimator.
doaj +1 more source
Microseismic event back-azimuth is an indispensable parameter for source localization in downhole microseismic monitoring, and the accurate orientation of horizontal components of downhole seismic receivers is vital for reliably determining the event ...
Zhichao Yu +3 more
doaj +1 more source
End-to-End Saliency Mapping via Probability Distribution Prediction [PDF]
Most saliency estimation methods aim to explicitly model low-level conspicuity cues such as edges or blobs and may additionally incorporate top-down cues using face or text detection.
Saumya Jetley +2 more
semanticscholar +1 more source
In an end-to-end authentication (E2EA) scheme, the physician, patient, and sensor nodes authenticate each other through the healthcare service provider in three phases: the long-term authentication phase (LAP), short-term authentication phase (SAP), and ...
Shadi Nashwan, Imad I. H. Nashwan
doaj +1 more source
Wind tunnel tests are carried out for the Commonwealth Advisory Aeronautical Research Council (CAARC) high-rise building with a scale of 1:400 in exposure categories D.
Shouke Li +6 more
doaj +1 more source
. Choosing a probability distribution to represent daily precipitation depths is important for precipitation frequency analysis, stochastic precipitation modeling and in climate trend assessments.
L. Ye +4 more
semanticscholar +1 more source
Ensemble probability distribution for novelty detection
This paper explores a new ensemble approach called Ensemble Probability Distribution Novelty Detection (EPDND) for novelty detection. The proposed ensemble approach provides a metric to characterize different classes. Experimental results on 4 real-world
Qiao Xiaoshuang +3 more
doaj +1 more source
Some Notes on the Omega Distribution and the Pliant Probability Distribution Family
In 2020 Dombi and Jónás (Acta Polytechnica Hungarica 17:1, 2020) introduced a new four parameter probability distribution which they named the pliant probability distribution family.
Maria T. Vasileva
doaj +1 more source
Differential Privacy for Deep and Federated Learning: A Survey
Users’ privacy is vulnerable at all stages of the deep learning process. Sensitive information of users may be disclosed during data collection, during training, or even after releasing the trained learning model.
Ahmed El Ouadrhiri, Ahmed Abdelhadi
doaj +1 more source

