Results 1 to 10 of about 2,615 (182)

Characteristics of the catalogue according to the KNET network (Northern Tian Shan) [PDF]

open access: diamondEPJ Web of Conferences, 2021
Various characteristics of the catalogue obtained from the data of the KNET network, containing the parameters of more than 10,000 earthquakes that occurred from 1994 to 2020, are considered.
Sycheva Naylya, Sychev Vladimir
doaj   +4 more sources

cyto‐Knet: An instance segmentation approach for multiple myeloma plasma cells using conditional kernels [PDF]

open access: hybridInternational Journal of Imaging Systems and Technology, 2023
Multiple myeloma disrupts normal blood cell production, requiring early detection due to the increased risk of bone metastases. Although various artificial intelligence (AI) methods have been developed to assist pathologists, they often lack ...
M. Salvi   +7 more
semanticscholar   +5 more sources

Analysis of the stability of determining the focal parameters of seismic events using the KNET network data by the programs Hypocenter, HYP, Hypoellipse, HYPO71, Dbloc2

open access: diamondВестник Камчатской региональной ассоциации "Учебно-научный центр". Серия: Науки о Земле, 2022
Parameters of hypocenters and times of 4760 seismic events taken from KNET catalog compiled by the Research Station of the Russian Academy of Sciences for the period since May 2003 till the end of 2020 have been determined by different programs ...
Воронцова Е.В.
doaj   +4 more sources

SOME CHARACTERISTICS OF THE EARTHQUAKE CATALOG AND THE SEISMIC PROCESS ACCORDING TO THE KNET NETWORK

open access: diamondГеодинамика и тектонофизика, 2022
Some characteristics of the earthquake catalog and seismic process are considered. The catalog is obtained according to the KNET network (KN-code in FSDN, International Federation of Digital Seismograph Networks, that is operated by Research Station of ...
N. A. Sycheva
doaj   +5 more sources

Analysis of seismic noise level at high-mountain stations of the KNET network

open access: diamondIOP Conference Series: Earth and Environmental Science, 2019
In this work we estimate level of seismic noise at Kyrgyz Network’s (KNET) high-mountain stations for 19 years of the time this network operated in real-time mode (1999-2017).
N. Sycheva, A. Mansurov
semanticscholar   +3 more sources

Influence of station topography and Moho depth on the mislocation vectors for the Kyrgyz Broadband Seismic Network (KNET) [PDF]

open access: bronzeGeophysical Journal International, 2013
Deviations of slowness and backazimuth from theoretically calculated values, the so-called mislocation vectors, are measured for the Kyrgyz Broadband Seismic Network (KNET) in the Tien Shan region. 870 events have been analysed for arrivals of P and PKP waves from all azimuths.
Erdmann Jacobeit, C. Thomas, F. Vernon
semanticscholar   +3 more sources

DISCRIMINATION OF UNDERGROUND NUCLEAR EXPLOSIONS AND EARTHQUAKES FOR LOP NOR TEST SITE AREA BASED ON KNET NETWORK

open access: hybridNNC RK Bulletin, 2020
A comparative analysis of the KNET waveforms of underground nuclear explosions conducted at regional distances at the Lop Nor test site (China) in 1992–1996, as well as tectonic earthquakes with epicenters in the same area, was carried out for the ...
A. V. Beryozina   +3 more
semanticscholar   +4 more sources

Examination of State of Art Technology in Digital Television Transmission in Ghana: Case Study of Knet Limited

open access: closedInternational Journal of Sensor Networks and Data Communications, 2018
Digital Television Transmission is the streaming of impairment free digitally processed and multiplexed signals in a binary on/off bit sequences to all receiving locations within coverage area [1].
Ebenezer Malcalm   +1 more
semanticscholar   +3 more sources

kNet: A Deep kNN Network To Handle Label Noise [PDF]

open access: green, 2021
Deep Neural Networks require large amounts of labeled data for their training. Collecting this data at scale inevitably causes label noise.Hence,the need to develop learning algorithms that are robust to label noise. In recent years, k Nearest Neighbors (kNN) emerged as a viable solution to this problem.
Mizrahi, Itzik, Avidan, Shai
openaire   +3 more sources

KNET: Integrating Hypermedia and Bayesian Modeling [PDF]

open access: green, 2013
KNET is a general-purpose shell for constructing expert systems based on belief networks and decision networks. Such networks serve as graphical representations for decision models, in which the knowledge engineer must define clearly the alternatives, states, preferences, and relationships that constitute a decision basis.
Chavez, R. Martin, Cooper, Gregory F.
openaire   +3 more sources

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