Zobrazeno 1 - 10
of 183
pro vyhledávání: '"Richard Washington"'
Publikováno v:
Advances in Meteorology, Vol 2024 (2024)
This study examines mesoscale convective systems (MCSs) in relation to 1-min automatic weather station data for 2 years over the city of Yaounde. The focus is on characterising the atmospheric variability associated with MCS activity while distinguis
Externí odkaz:
https://doaj.org/article/cf70810a6b054d788447d52b534ba318
Publikováno v:
Remote Sensing, Vol 14, Iss 15, p 3787 (2022)
In this communication, we investigate the performance of the Non-dominated Sorting Genetic Algorithm II (NSGA-II) in many-objective optimization scenarios pertaining to joint radar and communication functionality. We introduce five objectives relevan
Externí odkaz:
https://doaj.org/article/7679ed4a51ab466da490ca4d0eb20d67
Publikováno v:
Sensors, Vol 21, Iss 2, p 631 (2021)
In this work we propose a method of in situ clutter deconvolution and modeling using experimentally obtained UWB radar data. The obtained clutter models are then used for random sequence encoding of radar-communication (radarcom) signals to achieve c
Externí odkaz:
https://doaj.org/article/ef159112eeb6456e93648432b96d9c83
Publikováno v:
International Journal of Advanced Robotic Systems, Vol 1, Iss 4 (2008)
In this paper, we propose a new method based on Hidden Markov Models to interpret temporal sequences of sensor data from mobile robots to automatically detect features. Hidden Markov Models have been used for a long time in pattern recognition, espec
Externí odkaz:
https://doaj.org/article/6cb458624256424c996cb3d066234b03
Publikováno v:
International Journal of Advanced Robotic Systems, Vol 1 (2004)
In this paper, we propose a new method based on Hidden Markov Models to interpret temporal sequences of sensor data from mobile robots to automatically detect features. Hidden Markov Models have been used for a long time in pattern recognition, espec
Externí odkaz:
https://doaj.org/article/169d46d2a1d14a5494a3babde0551516
Publikováno v:
Nature. 615:276-279
Autor:
Callum Munday, Sebastian Engelstaedter, Gilbert Ouma, Geoffrey Ogutu, Daniel Olago, Dennis Ong’ech, Thomas Lees, Bonface Wanguba, Rose Nkatha, Clinton Ogalo, Roba Ali Gàlgalo, Abdi Jillo Dokata, Erick Kirui, Robert Hope, Richard Washington
Publikováno v:
Bulletin of the American Meteorological Society. 103:E1828-E1842
The Turkana low-level jet (LLJ) is an intrinsic part of the African climate system. It is the principle conduit for water vapor transport to the African interior from the Indian Ocean, and droughts in East Africa tend to occur when the jet is strong.
Autor:
Seyedali Sayedain, Norman T. O’Neill, James King, Patrick L. Hayes, Daniel Bellamy, Richard Washington, Sebastian Engelstaedter, Andy Vicente-Luis, Jill Bachelder, Malo Bernhard
The sub-Arctic Lhù’ààn Mân’ (Kluane Lake) region in the Canadian Yukon is subject to regular drainage wind-induced dust plumes emanating from the Slims River basin. This dust emissions site is just one of many current and potential future pro
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::bf00ee805528917d6819da366bb4254d
https://doi.org/10.5194/egusphere-egu23-17546
https://doi.org/10.5194/egusphere-egu23-17546
Autor:
Seyed Ali Sayedain, Norman T. O’Neill, James King, Patrick L. Hayes, Daniel Bellamy, Richard Washington, Sebastian Engelstaedter, Andy Vicente-Luis, Jill Bachelder, Malo Bernhard
There is growing recognition that high latitude dust (HLD), originating from local, drainage-basin flows, is the dominant source for certain important phenomena such as particle deposition on snow / ice. The analysis of such local plumes (including a
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::5905a452a52491c759c83dee6fe87472
https://doi.org/10.5194/amt-2023-67
https://doi.org/10.5194/amt-2023-67
Autor:
Seyed Ali Sayedain, Norman T. O’Neill, James King, Patrick L. Hayes, Daniel Bellamy, Richard Washington, Sebastian Engelstaedter, Andy Vicente-Luis, Jill Bachelder, Malo Bernhard
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::39fc766704fd4a7d8c1597eb66efefc8
https://doi.org/10.5194/amt-2023-67-supplement
https://doi.org/10.5194/amt-2023-67-supplement