Zobrazeno 1 - 10
of 10
pro vyhledávání: '"Hamdi Yalin Yalic"'
Autor:
Huseyin Temucin, Ali Seydi Keceli, Aydin Kaya, Cagatay Catal, Hamdi Yalin Yalic, Bedir Tekinerdogan
Publikováno v:
Computers and Electronics in Agriculture, 158, 20-29
Computers and Electronics in Agriculture 158 (2019)
Computers and Electronics in Agriculture 158 (2019)
Plant species classification is crucial for biodiversity protection and conservation. Manual classification is time-consuming, expensive, and requires experienced experts who are often limited available. To cope with these issues, various machine lea
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::c37783039927171e5c773c93466c3c5d
https://research.wur.nl/en/publications/analysis-of-transfer-learning-for-deep-neural-network-based-plant
https://research.wur.nl/en/publications/analysis-of-transfer-learning-for-deep-neural-network-based-plant
Autor:
Ahmet Burak Can, Hamdi Yalin Yalic
Publikováno v:
SIU
Object recognition, detection and segmentation tasks using RGB-D data are frequently used in the field of machine vision and robotics. In this work, a method for object segmentation on RGB-D data is proposed. In the first step, filtering steps are ap
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::7131d9c0c5bba896864b34e74492b7d8
https://doi.org/10.1109/siu.2018.8404626
https://doi.org/10.1109/siu.2018.8404626
Autor:
Hamdi Yalin Yalic, Ahmet Burak Can
Publikováno v:
VISIGRAPP (4: VISAPP)
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::54fddb75865a6beb9cb5167246513b39
https://doi.org/10.5220/0006617303790386
https://doi.org/10.5220/0006617303790386
Autor:
Mohamed Abdel-Basset, Laila Abdel-Fatah, Armin Haj Aboutalebi, A. Sherly Alphonse, Grace Mojisola Asogbon, Senthil Murugan Balakrishnan, Soumya Banerjee, S.S. Blessy Trencia Lincy, Arun Das, Prasun Das, Dejey Dharma, Lide Duan, Anna Bou Ezzeddine, Kaneez Fatima, Sakshi Kaushal, Aydin Kaya, Ali Seydi Keceli, Harish Kumar, Guanglin Li, Marek Lóderer, Mir Muhammad Lodro, Jaroslav Loebl, Róbert Magyar, Yacine Ouzrout, Shalini Parasuraman, Sandeep Pirbhulal, Paul Rad, Anitha Ramchandran, Viera Rozinajová, Sounak Sadhukhan, Oluwarotimi Williams Samuel, Arun Kumar Sangaiah, Aicha Sekhari, Megha Sharma, Chinu Singla, Ali Hassan Sodhro, Gul Hassan Sodhro, N. Suresh Kumar, Bedir Tekinerdogan, Huseyin Temucin, Alex D. Torres, Amandeep Verma, Petra Vrablecová, Hamdi Yalin Yalic, Hao Yan
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::999fa34d757381567e14d9c2eeeb3afd
https://doi.org/10.1016/b978-0-12-813314-9.00021-9
https://doi.org/10.1016/b978-0-12-813314-9.00021-9
Publikováno v:
Computational Intelligence for Multimedia Big Data on the Cloud with Engineering Applications
Computational Intelligence for Multimedia Big Data on the Cloud with Engineering Applications. Elsevier
Computational Intelligence for Multimedia Big Data on the Cloud with Engineering Applications. Elsevier
In society, visual impairment is one of the important health issues that severely impede the daily life and welfare of many people. According to the 2014 World Health Organization (WHO) report, there exist 285 million visually impaired people worldwi
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::7fde1af710b95146056f85e15622df57
https://doi.org/10.1016/b978-0-12-813314-9.00001-3
https://doi.org/10.1016/b978-0-12-813314-9.00001-3
Publikováno v:
International Journal of Electrical Energy. 1:132-136
Computer vision and image processing based intelligent transportation systems have become very popular for the last decade. Vehicle manufacturers and automotive industry are interested in vision-based systems. This kind of systems could warn drivers
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::0ce96b2191ba4c59f05beb90a1fdc959
https://doi.org/10.12720/ijoee.1.3.132-136
https://doi.org/10.12720/ijoee.1.3.132-136
Autor:
Hamdi Yalin Yalic
Publikováno v:
Computer Science & Information Technology ( CS & IT ).
Humans' ability to detect and locate salient objects on images is remarkably fast and successful. Performing this process by using eye tracking equipment is expensive and cannot be easily applied, and computer modeling of this human behavior is still
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::acccf0e3625629cc4a0b5137f2f7507f
https://doi.org/10.5121/csit.2014.4223
https://doi.org/10.5121/csit.2014.4223
Autor:
Ahmet Burak Can, Hamdi Yalin Yalic
Publikováno v:
2011 IEEE 19th Signal Processing and Communications Applications Conference (SIU).
With the development of information technologies, intelligent vehicle and driver support systems that can warn the driver or sometimes control movements of the vehicle by watching situation of roads and traffic signs are started to take place more in
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::df293c645c5355b968a457faa0db8f50
https://doi.org/10.1109/siu.2011.5929752
https://doi.org/10.1109/siu.2011.5929752
Autor:
Hassan A. Karimi
Over the past decade, since the publication of the first edition, there have been new advances in solving complex geoinformatics problems. Advancements in computing power, computing platforms, mathematical models, statistical models, geospatial algor
Computational Intelligence for Multimedia Big Data on the Cloud with Engineering Applications covers timely topics, including the neural network (NN), particle swarm optimization (PSO), evolutionary algorithm (GA), fuzzy sets (FS) and rough sets (RS)