output
20032026
most citedAn algorithm to estimate unsteady and quasi-steady pressure fields from velocity field measurements

123 citations

30 papers

cs.NI2026

Systems-Level Planning and Coordination of Truck-Drone Collaborative Delivery Networks

Didem Cicek, Burak Kantarci

Urban last-mile parcel delivery increasingly relies on heterogeneous fleets whose performance depends on timely coordination, reliable communication, and scalable control. Truck-dr…

cs.MM2025★ 3 cited

The Potential of Olfactory Stimuli in Stress Reduction through Virtual Reality

Yasmin Elsaddik Valdivieso, Mohd Faisal, Karim Alghoul +6

Immersive virtual reality (VR) is a promising tool for stress reduction and relaxation, traditionally relying on visual and auditory stimuli. This study examines the role of olfact…

cs.RO2024★ 7 cited

Bringing Robots Home: The Rise of AI Robots in Consumer Electronics

Haiwei Dong, Yang Liu, Ted Chu +1

On March 18, 2024, NVIDIA unveiled Project GR00T, a general-purpose multimodal generative AI model designed specifically for training humanoid robots. Preceding this event, Tesla's…

physics.optics2024★ 6 cited

Electrically tunable plasmonic metasurface as a matrix of nanoantennas

Luis Angel Mayoral-Astorga, Masoud Shabaninezhad, Howard Northfield +5

We report the fabrication and characterization of a plasmonic metasurface comprising electrically contacted sub-wavelength gold dipole nanoantennas, conformally coated by a thin ha…

cs.CV2024★ 3 cited

A Cost-Efficient Approach for Creating Virtual Fitting Room using Generative Adversarial Networks (GANs)

Kirolos Attallah, Girgis Zaky, Nourhan Abdelrhim +3

Customers all over the world want to see how the clothes fit them or not before purchasing. Therefore, customers by nature prefer brick-and-mortar clothes shopping so they can try…

cs.NI2023★ 4 cited

Uplink Scheduling in Federated Learning: an Importance-Aware Approach via Graph Representation Learning

Marco Skocaj, Pedro Enrique Iturria Rivera, Roberto Verdone +1

Federated Learning (FL) has emerged as a promising framework for distributed training of AI-based services, applications, and network procedures in 6G. One of the major challenges…