Resultados da busca - Daniel Reiser

Eli Rubin, Kabbalah and the Rupture of Modernity: Chabad’s Existential History of Ṣimṣum. Stanford University Press, 2025 por Daniel Reiser

Obter o texto integral

Sacred Speech and Written Word: Hebrew–Yiddish Diglossia in Hasidic Homiletics por Daniel Reiser

Obter o texto integral

Pisarstwo w cieniu śmierci: rękopis rabina Szapiry „Kazania z lat szału” w perspektywie psychologicznej i fenomenologicznej por Daniel Reiser

Obter o texto integral

Rethinking SLIL classifications in the age of needle arthroscopy: do we need sub-grades? por Daniel Reiser, Sanjeev Kakar

Obter o texto integral

Massive Osteolysis and Pseudotumor Formation following Maestro Total Wrist Arthroplasty por Marcus Sagerfors, Daniel Reiser

Obter o texto integral

Operation time and outcomes in distal radius fracture fixation: a retrospective analysis of single- vs. dual-surgeon procedures in 163 cases por Daniel Muder, Marcus Sagerfors, Daniel Reiser

Obter o texto integral

Free vascularized fibula transfer for total wrist arthrodesis: A solution for failed wrist arthrodesis after wrist hemiarthroplasty extraction por Daniel Reiser, Mattias Hedspång, Marcus Sagerfors

Obter o texto integral

Intraneural Ulnar Nerve Ganglion: A Surgical Case Report of a 10-cm-Long Recurring Ganglion Cyst in the Forearm por Daniel Reiser, Arpad Szallasi, Marcus Sagerfors

Obter o texto integral

Recurrent basosquamous carcinoma of the forearm, a case report por Daniel Reiser, Arpad Szallasi, Marcus Sagerfors

Obter o texto integral

A Low-Power RRAM Memory Block for Embedded, Multi-Level Weight and Bias Storage in Artificial Neural Networks por Stefan Pechmann, Timo Mai, Julian Potschka, Daniel Reiser, Peter Reichel, Marco Breiling, Marc Reichenbach, Amelie Hagelauer

Obter o texto integral

A Framework for Ultra Low-Power Hardware Accelerators Using NNs for Embedded Time Series Classification por Daniel Reiser, Peter Reichel, Stefan Pechmann, Maen Mallah, Maximilian Oppelt, Amelie Hagelauer, Marco Breiling, Dietmar Fey, Marc Reichenbach

Obter o texto integral

A flexible and fast digital twin for RRAM systems applied for training resilient neural networks por Markus Fritscher, Simranjeet Singh, Tommaso Rizzi, Andrea Baroni, Daniel Reiser, Maen Mallah, David Hartmann, Ankit Bende, Tim Kempen, Max Uhlmann, Gerhard Kahmen, Dietmar Fey, Vikas Rana, Stephan Menzel, Marc Reichenbach, Milos Krstic, Farhad Merchant, Christian Wenger

Obter o texto integral