IEEE

Towards Generative Ray Path Sampling for Faster Point-to-Point Ray Tracing

Abstract: Radio propagation modeling is essential in telecommunication research, as radio channels result from complex interactions with environmental objects. Recently, Machine Learning has been ...
Barron's

Fed Officials Signal More Cuts Could Come in 2026: Minutes

Federal Reserve officials were more divided over December’s rate cut than the tally of votes from the meeting suggested. The minutes showed that several policymakers who supported the move said they ...
IEEE

Channel Estimation and Reconstruction in Fluid Antenna System: Oversampling is Essential

Abstract: Fluid antenna system (FAS) has recently surfaced as a promising technology for the upcoming sixth generation (6G) wireless networks. Unlike traditional antenna system (TAS) with fixed ...
IEEE

Discontinuous Dual-Signal PWM for Neutral-Point Voltage Balancing in Three-Level Converters

Abstract: Neutral-point voltage (NPV) imbalance presents a significant challenge in three-level converters, especially under conditions of high modulation index (MI) and low power factor (PF). This ...
IEEE

A Radar Signal Open-Set Deinterleaving Method Based on Laplacian Pyramid Reconstruction and Adversarial Reciprocal Point Learning

Abstract: Radar signal deinterleaving is a challenging task in complex electromagnetic environments. This work proposes a method for accurately deinterleaving known and unknown radar radiation sources ...
IEEE

Complicated Imbalanced and Overlapped Data Oversampling Approach via Hypersphere Coverage and Adaptive Differential Evolution for Anomaly Detection of Industrial Internet of Things

Abstract: Anomaly detection is a unique type of classification challenge. The coupling of imbalance, overlap, and other complexity of the data, such as noise in industrial Internet of Things (IIoT) ...
IEEE

Generalized Graph Signal Sampling under Subspace Priors by Difference-of-Convex Minimization

Abstract: This paper proposes an effective approach for sampling graph signals under the subspace prior. Unlike conventional methods that assume bandlimited signals, our method, based on generalized ...
AFCEA

On Point: Q&A With Richard Forno

Richard Forno is a teaching professor in the University of Maryland, Baltimore County (UMBC) Department of Computer Science and Electrical Engineering, where he directs the Graduate Cybersecurity ...
IEEE

Dynamic Sensor Placement on Graphs Based on Graph Signal Sampling Theory

Abstract: In this paper, we consider a sensor placement problem where sensors can move within a network over time. Most existing methods assume that sensor positions are static, i.e., they do not move ...
IEEE

Unipolar Square Wave Excitation Delayed Sampling Thermal Signal Reconstruction Detection Based on Beam Homogenization

Abstract: In this article, an inexpensive beam homogenizer is designed to transform the laser beam with irregular intensity into a uniform square beam with a large size, thus eliminating the ...
IEEE

Generative AI-Driven Data Augmentation for Robust Virtual Metrology: GANs, VAEs, and Diffusion Models

Abstract: Advanced semiconductor manufacturing increasingly depends on Virtual Metrology (VM) for real-time quality monitoring, yet conventional data-driven models rarely capture the scarce or extreme ...
IEEE

Newton’s Cooling Law-Based Oversampling Technique for Handling Imbalanced Data in Software Defect Prediction

Abstract: Class imbalance presents considerable challenges for software defect prediction. However, software defect datasets exhibit additional complex characteristics, with class overlap being the ...