Zobrazeno 1 - 10
of 189
pro vyhledávání: '"Taciroğlu, Ertuğrul"'
Autor:
Devecioglu, Ozer Can, Kiranyaz, Serkan, Yilmaz, Zafer, Avci, Onur, Gabbouj, Moncef, Taciroglu, Ertugrul
Vibration sensors are essential in acquiring seismic activity for an accurate earthquake assessment. The state-of-the-art sensors can provide the best signal quality and the highest bandwidth; however, their high cost usually hinders a wide range of
Externí odkaz:
http://arxiv.org/abs/2407.11040
Autor:
Shaik, Riyaaz Uddien, Alipour, Mohamad, Rowell, Eric, Balaji, Bharathan, Watts, Adam, Taciroglu, Ertugrul
Accurate assessment of fuel conditions is a prerequisite for fire ignition and behavior prediction, and risk management. The method proposed herein leverages diverse data sources including Landsat-8 optical imagery, Sentinel-1 (C-band) Synthetic Aper
Externí odkaz:
http://arxiv.org/abs/2403.15462
To accurately analyze structures, soil-structure interaction effects must be taken into account. One approach is to create a complete finite element model of the full system wherein the soil is represented as a semi-infinite domain. This direct metho
Externí odkaz:
http://arxiv.org/abs/2312.06060
Roof type is one of the most critical building characteristics for wind vulnerability modeling. It is also the most frequently missing building feature from publicly available databases. An automatic roof classification framework is developed herein
Externí odkaz:
http://arxiv.org/abs/2305.17315
Autor:
Devecioglu, Ozer Can, Kiranyaz, Serkan, Elhmes, Amer, Sassi, Sadok, Ince, Turker, Avci, Onur, Soleimani-Babakamali, Mohammad Hesam, Taciroglu, Ertugrul, Gabbouj, Moncef
Automatic sensor-based detection of motor failures such as bearing faults is crucial for predictive maintenance in various industries. Numerous methodologies have been developed over the years to detect bearing faults. Despite the appearance of numer
Externí odkaz:
http://arxiv.org/abs/2305.07960
Many networks, such as transportation, power, and water distribution, can be represented as graphs. Crucial challenge in graph representations is identifying the importance of graph edges and their influence on overall network efficiency and informat
Externí odkaz:
http://arxiv.org/abs/2303.17485
Autor:
Soleimani-Babakamali, Mohammad Hesam, Soleimani-Babakamali, Roksana, Nasrollahzadeh, Kourosh, Avci, Onur, Kiranyaz, Serkan, Taciroglu, Ertugrul
Gathering properly labelled, adequately rich, and case-specific data for successfully training a data-driven or hybrid model for structural health monitoring (SHM) applications is a challenging task. We posit that a Transfer Learning (TL) method that
Externí odkaz:
http://arxiv.org/abs/2212.04002
Publikováno v:
In Structures October 2024 68
Publikováno v:
In Advanced Engineering Informatics October 2024 62 Part B
Autor:
Soleimani, Rojiar, Soleimani-Babakamali, Mohammad Hesam, Meng, Shuochuan, Avci, Onur, Taciroglu, Ertugrul
Publikováno v:
In Engineering Applications of Artificial Intelligence October 2024 136 Part A