Zobrazeno 1 - 10
of 16
pro vyhledávání: '"Olayinka Adeleye"'
Autor:
Samaneh Madanian, Talen Chen, Olayinka Adeleye, John Michael Templeton, Christian Poellabauer, Dave Parry, Sandra L. Schneider
Publikováno v:
Intelligent Systems with Applications, Vol 20, Iss , Pp 200266- (2023)
Speech emotion recognition (SER) as a Machine Learning (ML) problem continues to garner a significant amount of research interest, especially in the affective computing domain. This is due to its increasing potential, algorithmic advancements, and ap
Externí odkaz:
https://doaj.org/article/5215850c4afd4e83bab6362df8dab9fe
Publikováno v:
PeerJ Computer Science, Vol 7, p e746 (2021)
Background Forecasting the time of forthcoming pandemic reduces the impact of diseases by taking precautionary steps such as public health messaging and raising the consciousness of doctors. With the continuous and rapid increase in the cumulative in
Externí odkaz:
https://doaj.org/article/3ee3b10805aa4e439c1e55b06346bc83
Publikováno v:
EAI Endorsed Transactions on Context-aware Systems and Applications, Vol 4, Iss 13, Pp 1-13 (2018)
Mobile devices have become major sources of context-aware data due to their ubiquity and sensing capabilities. However, deploying mobile devices as dynamic, unabridged context data provider either locally or remotely is challenging, due to their limi
Externí odkaz:
https://doaj.org/article/9122bc0855644beebcb905ecfbffd0ce
Publikováno v:
ACSW
With the rapid and continual increase in the number and diversity of Web-APIs currently available on the Web, finding most appropriate Web-APIs to speed-up software development is becoming increasingly challenging. At the moment, Web-API consumers in
Publikováno v:
Lecture Notes in Computer Science ISBN: 9783030394684
ADC
ADC
Network embedding models automatically learn low-dimensional and neighborhood graph representation in vector space. Even-though these models have shown improved performances in various applications such as link prediction and classification compare t
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::da1e8e0a3f11efbed59f097c824956ec
https://doi.org/10.1007/978-3-030-39469-1_16
https://doi.org/10.1007/978-3-030-39469-1_16
Publikováno v:
EAI Endorsed Transactions on Context-aware Systems and Applications, Vol 4, Iss 13, Pp 1-13 (2018)
Mobile devices have become major sources of context-aware data due to their ubiquity and sensing capabilities. However, deploying mobile devices as dynamic, unabridged context data provider either locally or remotely is challenging, due to their limi
Publikováno v:
ACSW
Web-APIs such as Google-Maps, Twilio and Twitter APIs form the building blocks of many mobile and web-based applications. They enable cross-organizational functionality integration and data sharing over the Web. Tens of thousands of these Web-APIs wi
Publikováno v:
IEEE Transactions on Services Computing. :1-1
Despite the continual increase in the number of Web-APIs available on the internet, it is still challenging for API consumers to discover appropriate Web-APIs that could satisfy requirements. One of the main reasons for this is that Web-APIs register
Autor:
Mahavir Nagaraj, Miguel Armenta, Takwe Yango, Mary Nasief, Mark W. Dykstra, Olayinka Adeleye, Evan Marshall, Justin Muesel
Publikováno v:
Day 3 Wed, September 26, 2018.
This paper describes the strategies and practices used to deliver best in class ROP performance in three different applications (through salt, soft clastic and medium-hard clastic formations) on the Deepwater Gulf of Mexico. A novel advanced bit desi
Publikováno v:
Service-Oriented Computing ISBN: 9783030035952
ICSOC
ICSOC
Web-APIs enable cross-organizational functionality integration over the Web and thus are the foundation of modern distributed service-based systems. However, despite the rapid increase in the number of Web-APIs available on the Internet, the discover
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::f29f8d8a83b1957987eca3d2e033268e
https://doi.org/10.1007/978-3-030-03596-9_44
https://doi.org/10.1007/978-3-030-03596-9_44