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Prior research has demonstrated the effectiveness of end-to-end deep learning for robotic navigation, where the control signals are directly derived from raw sensory data. However, the majority of existing end-to-end navigation solutions are predomin
Externí odkaz:
http://arxiv.org/abs/2410.07447
This work addresses the challenge of adapting dynamic deadline requirements for LiDAR object detection deep neural networks (DNNs). The computing latency of object detection is critically important to ensure safe and efficient navigation. However, st
Externí odkaz:
http://arxiv.org/abs/2409.11542
In this work, we present a novel scheduling framework enabling anytime perception for deep neural network (DNN) based 3D object detection pipelines. We focus on computationally expensive region proposal network (RPN) and per-category multi-head detec
Externí odkaz:
http://arxiv.org/abs/2208.12181
Publikováno v:
In Acta Otorrinolaringologica (English Edition) March-April 2024 75(2):102-107
Publikováno v:
In Heliyon 15 January 2024 10(1)
The advent of data-driven real-time applications requires the implementation of Deep Neural Networks (DNNs) on Machine Learning accelerators. Google's Tensor Processing Unit (TPU) is one such neural network accelerator that uses systolic array-based
Externí odkaz:
http://arxiv.org/abs/2006.03616
Autor:
Aydın, Ömür, Çelebi Sözener, Zeynep, Mungan, Dilşad, Özbey, Ümüş, Balaban, Serap, Gökmen, Derya, Zergeroğlu, Ali Murat, Gemicioğlu, Bilun, Yorgancıoğlu, Arzu, Havlucu, Yavuz, Yıldız, Füsun, Argun Barış, Serap, Çerçi, Pamir, Dursun, Adile Berna, Kalpaklıoğlu, Füsun, Baççıoğlu, Ayşe, Atış Naycı, Sibel, Sercan Özgür, Eylem, Kendirlinan, Reşat, Koca Kalkan, İlkay, Köycü Buhari, Gözde, Yılmaz, İnsu, Türk, Murat, Göksel, Özlem, Erdinç, Münevver, Damadoğlu, Ebru, Kalyoncu, A. Fuat, Karakaya, Gül, Ediger, Dane, Oğuzülgen, I. Kıvılcım, Türktaş, Haluk, Soyyiğit, Şadan, Paşaoğlu Karakış, Gülden, Sekibağ, Yonca, Kızılırmak, Deniz, Dönmez, Halil, Boğatekin, Gülhan, Çakmak, Mehmet Erdem, Kaya, Saltuk Buğra, Günaydın, Fatma Esra, Çelik, Gülfem
Publikováno v:
In Obesity Medicine March 2023 38
Akademický článek
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In recent years identity-vector (i-vector) based speaker verification (SV) systems have become very successful. Nevertheless, environmental noise and speech duration variability still have a significant effect on degrading the performance of these sy
Externí odkaz:
http://arxiv.org/abs/1608.02272
Publikováno v:
Asthma Allergy Immunology / Astim Allerji Immunoloji. Apr2023, Vol. 21 Issue 1, p35-44. 10p.