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 ...
IEEE

Enhanced iteration closest point is based on stochastic differential evolution algorithm and random sampling

Abstract: To address the issue of low accuracy in 3D point cloud registration, we present a novel iterative closest point (ICP) algorithm for point registration using the stochastic differential ...
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

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 ...
IEEE

A Model for Quantifying and Propagating Uncertainty of Precise Time Measurement System With Tapped-Delay-Line Time-to-Digital Converters

Abstract: To evaluate the uncertainty of high-performance integrated circuits in precise time-interval measurements, we designed a time-to-digital converter using a typical tapped-delay-line (TDL) ...
IEEE

A Duty-Cycle Switching 30-Gb/s Burst-Mode CDR With 1.6-ns Locking Time in 28-nm CMOS

Abstract: This article presents a closed-loop type burst-mode clock and data recovery (BM-CDR) circuit with fast phase offset detection using 8/3x-fractional oversampling in the periodic preamble. The ...
IEEE

Optimizing Access Point Placement in Industrial IoT: A Deep Reinforcement Learning Approach With Q-Learning Verification and Signal Heatmap Visualization

Abstract: Optimal access point (AP) placement inside an industrial layout is important to ensure excellent connectivity. However, wireless fidelity (Wi-Fi) AP placement is complicated because ...
IEEE

Three-Dimensional Signal Processing: A New Approach in Dynamical Sampling Via Tensor Products

Abstract: The dynamical sampling problem is centered around reconstructing signals that evolve over time according to a dynamical process, from spatial-temporal samples that may be noisy. This topic ...
IEEE

Imbalanced Data Classification Using Transfer Learning and Oversampling

Abstract: A common challenge when applying transfer learning to specific domains is imbalanced datasets, where some classes have significantly fewer samples than others. This can skew the model's ...