Zobrazeno 1 - 10
of 377 002
pro vyhledávání: '"Mahmoud, A. A."'
In-memory computing (IMC) offloads parts of the computations to memory to fulfill the performance and energy demands of applications such as neuromorphic computing, machine learning, and image processing. Fortunately, the main features that stochasti
Externí odkaz:
http://arxiv.org/abs/2411.19344
We consider the problem of steering a collection of n particles that obey identical n-dimensional linear dynamics via a common state feedback law towards a rearrangement of their positions, cast as a controllability problem for a dynamical system evo
Externí odkaz:
http://arxiv.org/abs/2411.18766
Publikováno v:
The 16th International Joint Conference on Computational Intelligence (NCTA), Porto, Portugal, November 19-22, 2024
Autonomous driving involves complex tasks such as data fusion, object and lane detection, behavior prediction, and path planning. As opposed to the modular approach which dedicates individual subsystems to tackle each of those tasks, the end-to-end a
Externí odkaz:
http://arxiv.org/abs/2411.16131
The transition from x86 to ARM architecture is becoming increasingly common across various domains, primarily driven by ARM's energy efficiency and improved performance across traditional sectors. However, this ISA shift poses significant challenges,
Externí odkaz:
http://arxiv.org/abs/2411.16341
Water plays a fundamental role in the structure and function of proteins and other biomolecules. The thermodynamic profile of water molecules surrounding a protein are critical for ligand binding and recognition. Therefore, identifying the location a
Externí odkaz:
http://arxiv.org/abs/2411.15618
Digital twins (DTs) of wireless environments can be utilized to predict the propagation channel and reduce the overhead of required to estimate the channel statistics. However, direct channel prediction requires data-intensive calibration of the DT t
Externí odkaz:
http://arxiv.org/abs/2411.13360
This paper introduces a novel approach to efficient localization in next-generation communication systems through a base station (BS)-enabled passive beamforming utilizing beyond diagonal reconfigurable intelligent surfaces (BD-RISs). Unlike conventi
Externí odkaz:
http://arxiv.org/abs/2411.13295
Reinforcement learning (RL) is a promising method to learn optimal control policies for systems with unknown dynamics. In particular, synthesizing controllers for safety-critical systems based on high-level specifications, such as those expressed in
Externí odkaz:
http://arxiv.org/abs/2411.12019
Autor:
Hirvonen, Toni, Namazi, Mahmoud
A multichannel extension to the RVQGAN neural coding method is proposed, and realized for data-driven compression of third-order Ambisonics audio. The input- and output layers of the generator and discriminator models are modified to accept multiple
Externí odkaz:
http://arxiv.org/abs/2411.12008
Next-generation mobile networks require evolved radio access network (RAN) architectures to meet the demands of high capacity, massive connectivity, reduced costs, and energy efficiency, and to realize communication with ultra-low latency and ultra-h
Externí odkaz:
http://arxiv.org/abs/2411.12166