Zobrazeno 1 - 10
of 100 414
pro vyhledávání: '"Yildirim, A."'
Continual Learning (CL) methods usually learn from all available data. However, this is not the case in human cognition which efficiently focuses on key experiences while disregarding the redundant information. Similarly, not all data points in a dat
Externí odkaz:
http://arxiv.org/abs/2410.17715
This paper investigates the RWKV model's efficacy in content moderation through targeted experimentation. We introduce a novel dataset specifically designed for distillation into smaller models, enhancing content moderation practices. This comprehens
Externí odkaz:
http://arxiv.org/abs/2409.03939
Symbiotic control synergistically integrates fixed-gain control and adaptive learning architectures to mitigate system uncertainties more predictably than adaptive learning alone and without requiring prior knowledge of uncertainty bounds as compared
Externí odkaz:
http://arxiv.org/abs/2411.09881
Operations and maintenance (O&M) is a fundamental problem in wind energy systems with far reaching implications for reliability and profitability. Optimizing O&M is a multi-faceted decision optimization problem that requires a careful balancing act a
Externí odkaz:
http://arxiv.org/abs/2410.24052
We study the representation category of thread quivers and their quotients. A thread quiver is a quiver in which some arrows have been replaced by totally ordered sets. Pointwise finite-dimensional (pwf) representations of such a thread quiver admit
Externí odkaz:
http://arxiv.org/abs/2410.14656
Autor:
Dogangun, Fatih, Bahar, Serdar, Yildirim, Yigit, Temir, Bora Toprak, Ugur, Emre, Dogan, Mustafa Doga
As robotics continue to enter various sectors beyond traditional industrial applications, the need for intuitive robot training and interaction systems becomes increasingly more important. This paper introduces Robotic Augmented Reality for Machine P
Externí odkaz:
http://arxiv.org/abs/2410.13412
Autor:
Isern, H., Brochard, T., Dufrane, T., Brumund, P., Papillon, E., Scortani, D., Hino, R., Yildirim, C., Lamas, R. Rodriguez, Li, Y., Sarkis, M., Detlefs, C.
Dark Field X-ray Microscopy (DFXM) is a full-field imaging technique for non-destructive 3D mapping of orientation and strain in crystalline elements. The new DFXM beamline at ID03, developed as part of the ESRF Phase II Upgrade Project (EBSL2), was
Externí odkaz:
http://arxiv.org/abs/2410.13391
Despite AI advancements, individuals without software or hardware expertise still face barriers in designing wearable electronic devices due to the lack of code-free prototyping tools. To eliminate these barriers, we designed ProtoBot, leveraging lar
Externí odkaz:
http://arxiv.org/abs/2410.08340
Autor:
Alasik, Alican, Yildirim, Nihan
A bibliometric literature analysis was conducted to illuminate the evolving and rapidly expanding literature in the field of cryptoeconomics. This analysis presented the emerging field's intellectual, social, and conceptual structure. The intellectua
Externí odkaz:
http://arxiv.org/abs/2410.03428
How effective are recent advancements in autonomous vehicle perception systems when applied to real-world autonomous vehicle control? While numerous vision-based autonomous vehicle systems have been trained and evaluated in simulated environments, th
Externí odkaz:
http://arxiv.org/abs/2409.07218