Zobrazeno 1 - 10
of 76
pro vyhledávání: '"Weria Khaksar"'
Publikováno v:
IEEE Access, Vol 5, Pp 26146-26161 (2017)
A depth camera-based novel method is proposed here for efficient facial expression recognition. For each pixel in a depth image, eight local directional strengths are obtained and ranked. Once the rank of all pixels is obtained, eight histograms are
Externí odkaz:
https://doaj.org/article/3ba7378069394fa9872b8062496c2b8b
Autor:
Moslem Yousefi, Danial Hooshyar, Amir Remezani, Khairul Salleh Mohamed Sahari, Weria Khaksar, Firas B. Ismail Alnaimi
Publikováno v:
IJAIN (International Journal of Advances in Intelligent Informatics), Vol 1, Iss 3, Pp 140-149 (2015)
Accurate Wind speed forecasting has a vital role in efficient utilization of wind farms. Wind forecasting could be performed for long or short time horizons. Given the volatile nature of wind and its dependent on many geographical parameters, it is d
Externí odkaz:
https://doaj.org/article/4c86974d75824b8b95398db5f40882b5
Publikováno v:
2022 IEEE International Conference on Systems, Man, and Cybernetics (SMC).
Publikováno v:
Sensors, Vol 18, Iss 7, p 2027 (2018)
Elderly care at home is a matter of great concern if the elderly live alone, since unforeseen circumstances might occur that affect their well-being. Technologies that assist the elderly in independent living are essential for enhancing care in a cos
Externí odkaz:
https://doaj.org/article/1993936b45824a839ef07a33cf87330d
Publikováno v:
2021 30th IEEE International Conference on Robot and Human Interactive Communication (RO-MAN), 551-558
STARTPAGE=551;ENDPAGE=558;TITLE=2021 30th IEEE International Conference on Robot and Human Interactive Communication (RO-MAN)
RO-MAN
STARTPAGE=551;ENDPAGE=558;TITLE=2021 30th IEEE International Conference on Robot and Human Interactive Communication (RO-MAN)
RO-MAN
Introducing robots in healthcare facilities and homes may reduce the workload of healthcare personnel while providing the users with better and more available services. It may also contribute to interactions that are engaging and safe against transmi
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::41dd0175b542b6219c4719a78b5d140f
https://doi.org/10.1109/ro-man50785.2021.9515534
https://doi.org/10.1109/ro-man50785.2021.9515534
Publikováno v:
International Journal of Applied Mathematics and Computer Science, Vol 29, Iss 4, Pp 641-654 (2019)
Sampling-based motion planning is a powerful tool in solving the motion planning problem for a variety of different robotic platforms. As its application domains grow, more complicated planning problems arise that challenge the functionality of these
Publikováno v:
International Journal of Control, Automation and Systems. 17:253-266
In robotics, resolution of several difficult issues requires process intelligence. In many applications, the environment of a robot changes with time in a manner that has not been foreseen by its designer. Additionally, information on the environment
Publikováno v:
International Journal of Advanced Robotic Systems, Vol 10 (2013)
In this paper, we propose a new learning strategy for a probabilistic roadmap (PRM) algorithm. The proposed strategy is based on reducing the dispersion of the generated set of samples. We defined a forbidden range around each selected sample and ign
Externí odkaz:
https://doaj.org/article/09a9b908393a476ebed57eb852ffc3f8
Publikováno v:
International Journal of Mechanical Engineering and Robotics Research. :6-11
Autor:
Siti Anom Ahmad, Norzima Zulkifli, Farah Kamil, Weria Khaksar, Mohammed Yasser Moghrabiah, Tang Sai Hong
Publikováno v:
Expert Systems with Applications. 86:274-291
This study focuses on existing drawbacks and inefficiencies of the available path planning approaches within unknown dynamic environments. The drawbacks are the inability to plan under uncertain dynamic environments, non-optimality, failure in crowde