Zobrazeno 1 - 10
of 1 921
pro vyhledávání: '"Uyan A"'
Autor:
Bayar, Alperen Enes, Uyan, Ufuk, Toprak, Elif, Yuheng, Cao, Juncheng, Tang, Kindiroglu, Ahmet Alp
Urban environments are characterized by complex structures and diverse features, making accurate segmentation of point cloud data a challenging task. This paper presents a comprehensive study on the application of RandLA-Net, a state-of-the-art neura
Externí odkaz:
http://arxiv.org/abs/2312.11880
Autor:
Ali Uyan
Publikováno v:
Turkish Journal of Agriculture: Food Science and Technology, Vol 12, Iss 10, Pp 1796-1805 (2024)
The growth and mortality parameters were examined for the annular seabream Diplodus annularis collected from the Didim coast, Southern Aegean Sea. A total of 654 annular seabream individuals, 263 female (40.21%) and 391 male (59.79%), were sampled by
Externí odkaz:
https://doaj.org/article/efd797da8a164abdab4c424f452d9af3
Publikováno v:
Journal of Inequalities and Applications, Vol 2024, Iss 1, Pp 1-18 (2024)
Abstract This paper defines a family of neural-network interpolation operators. The first derivative of generalized logistic-type functions is considered as a density function. Using the first-order uniform approximation theorem for continuous functi
Externí odkaz:
https://doaj.org/article/d971b7d0ae73491ea2521c95f926a049
Publikováno v:
Begawan Abioso, Vol 14, Iss 2, Pp 109-116 (2024)
Pentingnya independensi yang dimiliki Komisi Pemberantasan Korupsi (KPK) bertujuan untuk mempercepat kinerja lembaga KPK itu sendiri. Namun, pasca disahkannya Undang-Undang KPK, kedudukan KPK yang mulanya merupakan lembaga non pemerintah kini termasu
Externí odkaz:
https://doaj.org/article/924c537b4f464bf19782124413709581
Publikováno v:
Namık Kemal Tıp Dergisi, Vol 12, Iss 2, Pp 134-138 (2024)
Aim: We aimed to detect simple findings that might predict sudden cardiac death in electrocardiography recordings in obese patients. Materials and Methods: Patients were included in our study retrospectively. Two groups with body mass index (BMI)
Externí odkaz:
https://doaj.org/article/b06defc8687640a0b55a2c4fd7be7319
This study presents a general machine learning framework to estimate the traffic-measurement-level experience rate at given throughput values in the form of a Key Performance Indicator for the cells on base stations across various cities, using busy-
Externí odkaz:
http://arxiv.org/abs/2212.14071
Autor:
Yalçın, Metehan, Kindiroglu, Ahmet Alp, Bağcı, Furkan Burak, Uyan, Ufuk, Öztürk, Mahiye Uluyağmur
Researchers are doing intensive work on satellite images due to the information it contains with the development of computer vision algorithms and the ease of accessibility to satellite images. Building segmentation of satellite images can be used fo
Externí odkaz:
http://arxiv.org/abs/2212.13712
It is crucial for the service provider to comprehend and forecast mobile traffic in large-scale cellular networks in order to govern and manage mechanisms for base station placement, load balancing, and network planning. The purpose of this article i
Externí odkaz:
http://arxiv.org/abs/2212.10869
Autor:
Bagci, Furkan Burak, Kindriroglu, Ahmet Alp, Yalcin, Metehan, Uyan, Ufuk, Ozturk, Mahiye Uluyagmur
Extracting building heights from satellite images is an active research area used in many fields such as telecommunications, city planning, etc. Many studies utilize DSM (Digital Surface Models) generated with lidars or stereo images for this purpose
Externí odkaz:
http://arxiv.org/abs/2212.09277
Autor:
Yalçın, Metehan, Kındıroğlu, Ahmet Alp, Bağcı, Furkan Burak, Uyan, Ufuk, Öztürk, Mahiye Uluyağmur
Transfer Learning methods are widely used in satellite image segmentation problems and improve performance upon classical supervised learning methods. In this study, we present a semantic segmentation method that allows us to make land cover maps by
Externí odkaz:
http://arxiv.org/abs/2212.02130