Zobrazeno 1 - 10
of 153
pro vyhledávání: '"Frickenstein A"'
Autor:
Vemparala, Manoj Rohit, Frickenstein, Alexander, Fasfous, Nael, Frickenstein, Lukas, Zhao, Qi, Kuhn, Sabine, Ehrhardt, Daniel, Wu, Yuankai, Unger, Christian, Nagaraja, Naveen Shankar, Stechele, Walter
Deploying convolutional neural networks (CNNs) for embedded applications presents many challenges in balancing resource-efficiency and task-related accuracy. These two aspects have been well-researched in the field of CNN compression. In real-world a
Externí odkaz:
http://arxiv.org/abs/2103.08031
Autor:
Fasfous, Nael, Vemparala, Manoj-Rohit, Frickenstein, Alexander, Frickenstein, Lukas, Stechele, Walter
Face masks have long been used in many areas of everyday life to protect against the inhalation of hazardous fumes and particles. They also offer an effective solution in healthcare for bi-directional protection against air-borne diseases. Wearing an
Externí odkaz:
http://arxiv.org/abs/2102.03456
Autor:
Vemparala, Manoj-Rohit, Fasfous, Nael, Frickenstein, Alexander, Moraly, Mhd Ali, Jamal, Aquib, Frickenstein, Lukas, Unger, Christian, Nagaraja, Naveen-Shankar, Stechele, Walter
Various applications in the field of autonomous driving are based on convolutional neural networks (CNNs), especially for processing camera data. The optimization of such CNNs is a major challenge in continuous development. Newly learned features mus
Externí odkaz:
http://arxiv.org/abs/2101.02663
Autor:
Frickenstein, Alexander, Vemparala, Manoj-Rohit, Fasfous, Nael, Hauenschild, Laura, Nagaraja, Naveen-Shankar, Unger, Christian, Stechele, Walter
Closing the gap between the hardware requirements of state-of-the-art convolutional neural networks and the limited resources constraining embedded applications is the next big challenge in deep learning research. The computational complexity and mem
Externí odkaz:
http://arxiv.org/abs/2007.13384
Autor:
Frickenstein, Alexander, Vemparala, Manoj Rohit, Mayr, Jakob, Nagaraja, Naveen Shankar, Unger, Christian, Tombari, Federico, Stechele, Walter
Driveable area detection is a key component for various applications in the field of autonomous driving (AD), such as ground-plane detection, obstacle detection and maneuver planning. Additionally, bulky and over-parameterized networks can be easily
Externí odkaz:
http://arxiv.org/abs/2006.08178
Autor:
Mori, Pierpaolo, Rahman, Mohammad Shanur, Frickenstein, Lukas, Sampath, Shambhavi Balamuthu, Thoma, Moritz, Fasfous, Nael, Vemparala, Manoj Rohit, Frickenstein, Alexander, Stechele, Walter, Passerone, Claudio
Publikováno v:
Electronics (2079-9292); Nov2024, Vol. 13 Issue 22, p4538, 18p
Publikováno v:
In Trends in Analytical Chemistry September 2023 166
Akademický článek
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Autor:
Michael S. Meissner, Vy H. T. Nguyen, Imen Bousrih, Van T. C. Le, Alex Frickenstein, Giang V. Le, Ngoc T. Bui
Publikováno v:
Frontiers in Chemistry, Vol 11 (2023)
Temperature-swing solvent extraction (TSSE) is a cost-effective, simple, versatile, and industry-ready technology platform capable of desalinating hypersaline brines toward zero liquid discharge. In this work, we demonstrate the potential of TSSE in
Externí odkaz:
https://doaj.org/article/61102dacaf104da1a986b7767d599511
Autor:
Zhang, Yushan, Elechalawar, Chandra Kumar, Yang, Wen, Frickenstein, Alex N., Asfa, Sima, Fung, Kar-Ming, Murphy, Brennah N., Dwivedi, Shailendra K, Rao, Geeta, Dey, Anindya, Wilhelm, Stefan, Bhattacharya, Resham, Mukherjee, Priyabrata
Publikováno v:
In Materials Today June 2022 56:79-95