Zobrazeno 1 - 10
of 31
pro vyhledávání: '"Ghazaleh Khodabandelou"'
Publikováno v:
PeerJ Computer Science, Vol 6, p e278 (2020)
Application of deep neural network is a rapidly expanding field now reaching many disciplines including genomics. In particular, convolutional neural networks have been exploited for identifying the functional role of short genomic sequences. These a
Externí odkaz:
https://doaj.org/article/c65501f5f7f343d78380ee849efde166
Publikováno v:
IEEE Sensors Journal. 23:12355-12369
Publikováno v:
Neurocomputing. 500:649-661
Human behavior recognition is one of the significant components of Ambient Assisted Living (AAL) systems and personal assistive robots allowing to improve the quality of their lives in terms of safety, autonomy, and well-being. A critical aspect of p
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::77587b6d3ebff7d439c7ea9aec303005
https://doi.org/10.21203/rs.3.rs-2665787/v1
https://doi.org/10.21203/rs.3.rs-2665787/v1
Autor:
Ghazaleh Khodabandelou, Amir Nakib
Publikováno v:
Information Sciences. 558:50-75
This paper presents a new fractal search space decomposition-based algorithm to address the issue of scaling up the divide and conquer approach to deal with large scale problems (up to 50 continuous decision variables). The proposed algorithm, called
Publikováno v:
IEEE Transactions on Automation Science and Engineering. 18:495-507
Gesture recognition becomes a thriving research area in modern human motion recognition systems. The intensification of demands on efficient interactive human–machine-interface systems, commercial objectives, and many other factors contributes to f
Publikováno v:
Applied Intelligence. 51:2331-2352
Traffic speed forecasting becomes a thriving research area in modern transportation systems. The intensification of travel flow volumes due to fast urbanization, vehicle path planning, demands on efficient transport planning policies, commercial obje
Publikováno v:
Engineering Applications of Artificial Intelligence. 118:105702
Publikováno v:
Knowledge-Based Systems. 260:110129