29 citations · 34 across the 12 of their papers we have counts for
12 papers
Simulation-Driven Ensemble Machine Learning for Robust and Generalizable Path Loss Prediction
Ahmed P. Mohamed, Byunghyun Lee, Yaguang Zhang +3
Machine learning has emerged as a promising approach to path loss prediction, yet its effectiveness often degrades when measurement data are scarce. To address this limitation, we…
CITYMPC: A Large-Scale Physics-Informed Benchmark and Tool for Generative Complete Multipath Wireless Channel Modeling
Ashwin Natraj Arun, David R. Nickel, Yaguang Zhang +6
Multipath wireless channels are fully characterized by multipath components (MPCs), including complex channel gain, propagation delay, angle of departure (AoD) and angle of arrival…
LAW & ORDER: Adaptive Spatial Weighting for Medical Diffusion and Segmentation
Anugunj Naman, Ayushman Singh, Gaibo Zhang +1
Medical image analysis depends on accurate segmentation and controllable synthesis, but both tasks face severe spatial imbalance: lesions occupy small regions against large backgro…
DISK: Dynamic Inference SKipping for World Models
Anugunj Naman, Gaibo Zhang, Ayushman Singh +1
We present DISK, a training-free adaptive inference method for autoregressive world models. DISK coordinates two coupled diffusion transformers for video and ego-trajectory via dua…
A Web-Based Application Leveraging Geospatial Information to Automate On-Farm Trial Design
Sneha Jha, Yaguang Zhang, J. V. Krogmeier +1
On-farm sensor data have allowed farmers to implement field management techniques and intensively track the corresponding responses. These data combined with historical records ope…
Automating Work Orders and Tracking Winter Snow Plows and Patrol Vehicles with Telematics Data
Anugunj Naman, Aaron Ault, Yaguang Zhang +1
Winter road maintenance is a critical priority for the Indiana Department of Transportation, which manages an extensive fleet across thousands of lane miles. The current manual tra…
Simulation-Enhanced Data Augmentation for Machine Learning Pathloss Prediction
Ahmed P. Mohamed, Byunghyun Lee, Yaguang Zhang +4
Machine learning (ML) offers a promising solution to pathloss prediction. However, its effectiveness can be degraded by the limited availability of data. To alleviate these challen…
Propagation Measurements and Analyses at 28 GHz via an Autonomous Beam-Steering Platform
Bharath Keshavamurthy, Yaguang Zhang, Christopher R. Anderson +3
This paper details the design of an autonomous alignment and tracking platform to mechanically steer directional horn antennas in a sliding correlator channel sounder setup for 28…
Data-Driven Web-Based Patching Management Tool Using Multi-Sensor Pavement Structure Measurements
Sneha Jha, Yaguang Zhang, Bongsuk Park +4
Automating pavement maintenance suggestions is challenging,especially for actionable recommendations such as patching location,depth and priority.It is common practice among State…
A Robotic Antenna Alignment and Tracking System for Millimeter Wave Propagation Modeling
Bharath Keshavamurthy, Yaguang Zhang, Christopher R. Anderson +3
In this paper, we discuss the design of a sliding-correlator channel sounder for 28 GHz propagation modeling on the NSF POWDER testbed in Salt Lake City, UT. Beam-alignment is mech…
Challenges and Opportunities of Future Rural Wireless Communications
Yaguang Zhang, David J. Love, James V. Krogmeier +3
Broadband access is key to ensuring robust economic development and improving quality of life. Unfortunately, the communication infrastructure deployed in rural areas throughout th…
Propagation Modeling Through Foliage in a Coniferous Forest at 28 GHz
Yaguang Zhang, Christopher R. Anderson, Nicolo Michelusi +3
The goal of this article is to investigate the propagation behavior of 28-GHz millimeter wave in coniferous forests and model its basic transmission loss. Field measurements were c…