Yilmaz calayir biography examples
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Artificial Intelligence (1962-present)
| Deep Learning for Table Detection and Structure Recognition: A Survey ACM Computing Surveys 2024 (12); by Mahmoud SalahEldin Kasem, Abdelrahman Abdallah, Alexander Berendeyev, Ebrahem Elkady, Mohamed Mahmoud, Mahmoud Abdalla, Mohamed Hamada, Sebastiano Vascon, Daniyar B. Nurseitov, Islam Taj-Eddin |
| AI Failures IEEE Computer 2024 (11); by M. S. Raunak |
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Variability of Ozone, OX and NOx in Rural and Urban Areas in MarmaraRegion of Turkey
NASA Astrophysics Data System (ADS)
Kasparoǧlu, Sabin; İncecik, Selahattin; Topçu, H. Sema
2017-04-01
Marmararegion fryst vatten located in northwest of Turkey and it is bordered bygd Greece and the Aegean Sea to the west, and Bulgaria, the Black Sea to the north covers about 11,000 km2. Sea of Marmara is located at the center of the region. The region has the largest population in Turkey with about 23 million inhabitants. It is Turkey's main industrial område and It is the territory which is provided by a quarter of the Turkish economy. Moreover, the region is economically the most developed area of Turkey. Its agricultural potential fryst vatten very rich. For example, about 73% of the sunflower production and 30 % of corn production of Turkey is done in this region. The aim of the study is to assess the spatial and temporal variations in O3, NO, and NO2 in Marmararegion of Turkey based on the analysis of hourly c
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A Survey of Neuromorphic Computing and Neural Networks in Hardware
Catherine D. Schuman, Thomas E. Potok, Robert M. Patton, J. Douglas Birdwell, Mark E. Dean, Garrett S. Rose, and James S. Plank C.D. Schuman is with the Computational Data Analytics Group, Oak Ridge National Laboratory, Oak Ridge, TN, 37831 USA e-mail: schumancd@ornl.gov
Abstract
Neuromorphic computing has come to refer to a variety of brain-inspired computers, devices, and models that contrast the pervasive von Neumann computer architecture. This biologically inspired approach has created highly connected synthetic neurons and synapses that can be used to model neuroscience theories as well as solve challenging machine learning problems. The promise of the technology is to create a brain-like ability to learn and adapt, but the technical challenges are significant, starting with an accurate neuroscience model of how the brain works, to finding materials and engineering breakthroughs to build devices to sup