Zobrazeno 1 - 10
of 4 144
pro vyhledávání: '"Knipper A"'
Autor:
Farhana, Effat, Sarkar, Souvika, Knipper, Ralph, Dey, Indrani, Narayanan, Hari, Puntambekar, Sadhana, Karmaker, Shubhra Kanti
Simulations are widely used to teach science in grade schools. These simulations are often augmented with a conversational artificial intelligence (AI) agent to provide real-time scaffolding support for students conducting experiments using the simul
Externí odkaz:
http://arxiv.org/abs/2407.06241
Autor:
Santu, Shubhra Kanti Karmaker, Sinha, Sanjeev Kumar, Bansal, Naman, Knipper, Alex, Sarkar, Souvika, Salvador, John, Mahajan, Yash, Guttikonda, Sri, Akter, Mousumi, Freestone, Matthew, Williams Jr, Matthew C.
One of the most important yet onerous tasks in the academic peer-reviewing process is composing meta-reviews, which involves understanding the core contributions, strengths, and weaknesses of a scholarly manuscript based on peer-review narratives fro
Externí odkaz:
http://arxiv.org/abs/2402.15589
As spiking neural networks receive more attention, we look toward applications of this computing paradigm in fields other than computer vision and signal processing. One major field, underexplored in the neuromorphic setting, is Natural Language Proc
Externí odkaz:
http://arxiv.org/abs/2401.17911
Autor:
Fabian Falkenbach, Giovanni Mazzucato, Zhe Tian, Pierre I. Karakiewicz, Markus Graefen, Thomas Steuber, Derya Tilki, Daniel Koehler, Burkhard Beyer, Pierre Tennstedt, Sophie Knipper, Lars Budäus, Tobias Maurer
Publikováno v:
European Urology Open Science, Vol 70, Iss , Pp 1-7 (2024)
Background and objective: In patients with oligorecurrent prostate cancer (PCa), prostate-specific membrane antigen–targeted radioguided surgery (PSMA-RGS) prolongs treatment-free survival. Data on patient-reported outcome measures (PROMs) are lack
Externí odkaz:
https://doaj.org/article/eae709c66f0d464ab1a9165bf132e840
Envision an intelligent agent capable of assisting users in conducting forecasting tasks through intuitive, natural conversations, without requiring in-depth knowledge of the underlying machine learning (ML) processes. A significant challenge for the
Externí odkaz:
http://arxiv.org/abs/2309.03877
The rise of big data has amplified the need for efficient, user-friendly automated machine learning (AutoML) tools. However, the intricacy of understanding domain-specific data and defining prediction tasks necessitates human intervention making the
Externí odkaz:
http://arxiv.org/abs/2305.13657
Publikováno v:
Wind Energy Science, Vol 9, Pp 1941-1965 (2024)
Accurate simulation of the loads and motions of floating offshore wind turbines (FOWTs) in operation is key to the commercialisation of this technology. To improve such load predictions, a critical assessment of the capabilities and limitations of si
Externí odkaz:
https://doaj.org/article/d66e8177f00d408184ca4b8528540c6f
Autor:
Karl Knipper, Su Ir Lyu, Jin-On Jung, Niklas Alich, Felix C. Popp, Wolfgang Schröder, Hans F. Fuchs, Christiane J. Bruns, Alexander Quaas, Henrik Nienhueser, Thomas Schmidt
Publikováno v:
Scientific Reports, Vol 14, Iss 1, Pp 1-9 (2024)
Abstract In esophageal adenocarcinoma, the presence of lymph node metastases predicts patients' survival even after curative resection. Currently, there is no highly accurate marker for detecting the presence of lymph node metastasis. The SEMA3F/NRP2
Externí odkaz:
https://doaj.org/article/33296b1114784034a07209c92c027e2e
Autor:
Konrad Dapper, Stephan M. Wolpert, Jakob Schirmer, Stefan Fink, Etienne Gaudrain, Deniz Başkent, Wibke Singer, Sarah Verhulst, Christoph Braun, Ernst Dalhoff, Lukas Rüttiger, Matthias H.J. Munk, Marlies Knipper
Publikováno v:
NeuroImage, Vol 305, Iss , Pp 120958- (2025)
The slowing and reduction of auditory responses in the brain are recognized side effects of increased pure tone thresholds, impaired speech recognition, and aging. However, it remains controversial whether central slowing is primarily linked to brain
Externí odkaz:
https://doaj.org/article/27090a240ca54ba790aed8e270abe837
Autor:
C. Cammalleri, M.C. Anderson, N.E. Bambach, A.J. McElrone, K. Knipper, M.C. Roby, G. Ciraolo, D. DeCaro, M. Ippolito, C. Corbari, A. Ceppi, M. Mancini, W.P. Kustas
Publikováno v:
Agricultural Water Management, Vol 306, Iss , Pp 109207- (2024)
Applications of the two-source energy balance (TSEB) scheme require either in-situ meteorological data to characterize the upper boundary conditions or the implementation of complex multi-scale approaches (ALEXI/DisALEXI). Over remote areas, detailed
Externí odkaz:
https://doaj.org/article/0d1cd4eb51fe41119d89230b8dd32535