IEEE

A Novel Expandable Borderline Smote Over-Sampling Method for Class Imbalance Problem

Abstract: The class imbalance problem can cause classifiers to be biased toward the majority class and inclined to generate incorrect predictions. While existing studies have proposed numerous ...
IEEE

CSRBoost: Clustered Sampling With Resampling Boosting for Imbalanced Dataset Pattern Classification

Abstract: Data mining and machine learning (DM & ML) approaches frequently face class imbalance (CI) issues, especially in binary classification tasks when one class significantly outnumbers the other ...
IEEE

Weighted Oversampling Algorithm for Imbalanced Data Security Domain

Abstract: To address issues such as noise, intra-class and inter- class imbalance, and data redundancy in existing methods for handling imbalanced datasets, we ...
IEEE

A robotic arm RRT* path planning algorithm based on adaptive target point sampling and path smoothing optimization

Abstract: Path planning is essential for robotic arms to perform tasks in complex environments, where efficiency, feasibility, and path quality are critical. This paper proposes an improved RRT* ...
IEEE

Dual-Conditional Diffusion Model for Seismic Data Reconstruction: Integrating Observed Data and Sampling Matrix Constraints

Abstract: Seismic exploration relies heavily on high-quality data acquisition, but practical limitations often result in incomplete seismic data, violating the Nyquist sampling theorem and introducing ...
IEEE

Sea Ice Detection With High Sampling Resolution Using Spaceborne GNSS-R Complex Waveform Data

Abstract: Sea ice plays a crucial role in global climate patterns, making the acquisition of sea ice change information significant. The rapid development of global navigation satellite system (GNSS) ...
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Knife Making: Full Tang Clip Point Knife

Watch the step-by-step creation of a full tang clip point knife featuring zebrawood scales and durable 1070 high carbon steel. GOP, Thune surprise Democrats, daring them to block defense spending bill ...
IEEE

Graph Signal Sampling-Based Active Learning for Hyperspectral Image Classification

Abstract: Active learning (AL) has achieved great success in remotely sensed hyperspectral image classification due to its ability to select highly informative training samples. An appropriate query ...
Yardbarker

Yankees' postseason exit should signal end of Brian Cashman era

With the Toronto Blue Jays knocking the New York Yankees out of the postseason on Wednesday night, it's clear that the Yankees, when the October lights hit, are once again not among the elite teams in ...
IEEE

Stepped Frequency Lfm Radar Signal Modulation Based on Periodic-Coded Interrupted Sampling

Abstract: This paper proposes a periodic cyclic coding-based interrupted sampling modulation method, providing a novel technical approach for flexible modulation and multi-target simulation of Stepped ...
IEEE

Near-Field Localization and Sensing With Large-Aperture Arrays: From signal modeling to processing

Abstract: The signal processing community is currently witnessing a growing interest in near-field signal processing, driven by the trend toward the use of large-aperture arrays with high spatial ...