Zobrazeno 1 - 10
of 302
pro vyhledávání: '"Aghdam, Amir G."'
Image generation and editing have seen a great deal of advancements with the rise of large-scale diffusion models that allow user control of different modalities such as text, mask, depth maps, etc. However, controlled editing of videos still lags be
Externí odkaz:
http://arxiv.org/abs/2406.00272
Non-intrusive Load Monitoring (NILM) is an established technique for effective and cost-efficient electricity consumption management. The method is used to estimate appliance-level power consumption from aggregated power measurements. This paper pres
Externí odkaz:
http://arxiv.org/abs/2311.08536
Autor:
Mosalli, Hesam, Aghdam, Amir G.
In this paper, an efficient deployment strategy is proposed for a network of mobile and static sensors with nonidentical sensing and communication radii. The multiplicatively weighted Voronoi (MW-Voronoi) diagram is used to partition the field and as
Externí odkaz:
http://arxiv.org/abs/2309.09363
The problem of connectivity assessment in an asymmetric network represented by a weighted directed graph is investigated in this article. A power iteration algorithm in a centralized implementation is developed first to compute the generalized algebr
Externí odkaz:
http://arxiv.org/abs/2308.04606
The risk-neutral LQR controller is optimal for stochastic linear dynamical systems. However, the classical optimal controller performs inefficiently in the presence of low-probability yet statistically significant (risky) events. The present research
Externí odkaz:
http://arxiv.org/abs/2307.07129
Autor:
Jamadi, Zahra, Aghdam, Amir G.
In this paper, we propose a framework for early-stage malware detection and mitigation by leveraging natural language processing (NLP) techniques and machine learning algorithms. Our primary contribution is presenting an approach for predicting the u
Externí odkaz:
http://arxiv.org/abs/2306.06255
A key question in the problem of 3D reconstruction is how to train a machine or a robot to model 3D objects. Many tasks like navigation in real-time systems such as autonomous vehicles directly depend on this problem. These systems usually have limit
Externí odkaz:
http://arxiv.org/abs/2209.10029
A novel semi-analytical method is proposed to develop the pseudo-rigid-body~(PRB) model of robots made of highly flexible members (HFM), such as flexures and continuum robots, with no limit on the degrees of freedom of the PRB model. The proposed met
Externí odkaz:
http://arxiv.org/abs/2206.06237
In this paper, a new numerical method to solve the forward kinematics (FK) of a parallel manipulator with three-limb spherical-prismatic-revolute (3SPR) structure is presented. Unlike the existing numerical approaches that rely on computation of the
Externí odkaz:
http://arxiv.org/abs/2205.15518
Autor:
Arabneydi, Jalal, Aghdam, Amir G.
In this article, we introduce decentralized Kalman filters for linear quadratic deep structured teams. The agents in deep structured teams are coupled in dynamics, costs and measurements through a set of linear regressions of the states and actions (
Externí odkaz:
http://arxiv.org/abs/2110.12217