-
21
Improving Sharpness-Aware Minimization Using Label Smoothing and Adaptive Adversarial Cross-Entropy Loss
Published 2025-01-01“…Recent advances in learning algorithms have identified loss surface sharpness as an effective metric for reducing the generalization gap. …”
Get full text
Article -
22
A Chaos Synchronization Diagnostic: Difference Time Series Peak Complexity (DTSPC)
Published 2024-12-01“…In this paper, we introduce the Difference Time Series Peak Complexity (DTSPC) algorithm, a technique using entropy as a tool to quantitatively measure synchronization. …”
Get full text
Article -
23
Generalized Gaussian Distribution Improved Permutation Entropy: A New Measure for Complex Time Series Analysis
Published 2024-11-01“…To enhance the performance of entropy algorithms in analyzing complex time series, generalized Gaussian distribution improved permutation entropy (GGDIPE) and its multiscale variant (MGGDIPE) are proposed in this paper. …”
Get full text
Article -
24
Statistical analysis of periodic MHD chemically radiative casson flow over an inclined cylinder with entropy optimization
Published 2024-11-01“…The numerical findings encapsulate the dynamics of temperature, velocity, and entropy generation, visually portrayed across various dimensionless parameters. …”
Get full text
Article -
25
Fault Diagnosis Based On Improved Information Entropy And 1dcnn For Marine Turbocharger Rotor With Variable Speed
Published 2025-09-01“…The sensitivity of the improved and traditional information entropy is evaluated using a variance analysis across the measurement points, and the most effective vibration measurement points are selected based on the improved information entropy. …”
Get full text
Article -
26
Temporal-Spatial Redundancy Reduction in Video Sequences: A Motion-Based Entropy-Driven Attention Approach
Published 2025-03-01“…Our EGMESampler can be embedded in existing video processing algorithms, and experiments on five benchmark datasets demonstrate its effectiveness compared to previous fixed-sampling strategies, as well as its generalizability across different video models and datasets.…”
Get full text
Article -
27
Fault Diagnosis of Rolling-Element Bearing Using Multiscale Pattern Gradient Spectrum Entropy Coupled with Laplacian Score
Published 2020-01-01“…To address this problem, a novel approach entitled multiscale pattern gradient spectrum entropy (MPGSE) is further implemented to extract fault features across multiple scales, where its key parameters are determined adaptively by grey wolf optimization (GWO). …”
Get full text
Article -
28
Advanced Hybrid Brain Tumor Segmentation in MRI: Elephant Herding Optimization Combined with Entropy-Guided Fuzzy Clustering
Published 2024-12-01“…This method combines the nature-inspired Elephant Herding Optimization (EHO) algorithm with Entropy-Driven Fuzzy C-Means (EnFCM) clustering, offering significant improvements over conventional methods. …”
Get full text
Article -
29
Exploring high entropy alloys: A review on thermodynamic design and computational modeling strategies for advanced materials applications
Published 2024-11-01“…In the quest for materials that can withstand the rigors of modern engineering applications, high-entropy alloys (HEAs) have emerged as a frontier in material science owing to their unprecedented combination of properties. …”
Get full text
Article -
30
A lightweight spatiotemporal classification framework for tree species with entropy-based change resistance filter using satellite imagery
Published 2025-04-01“…To improve the stability and accuracy of the classification results, this study proposes a lightweight spatiotemporal classification framework, with the core algorithm being the Spatiotemporal Entropy-based Change Resistance Filter (STECR-F) algorithm. …”
Get full text
Article -
31
Adaptive Guided Filtering and Spectral-Entropy-Based Non-Uniformity Correction for High-Resolution Infrared Line-Scan Images
Published 2025-07-01“…Extensive experiments on simulated and real datasets demonstrate that the method consistently outperforms six state-of-the-art algorithms across multiple metrics while maintaining the fastest runtime. …”
Get full text
Article -
32
Greedy Algorithm for Deriving Decision Rules from Decision Tree Ensembles
Published 2025-01-01Get full text
Article -
33
Artificial Intelligence Models for Predicting Stock Returns Using Fundamental, Technical, and Entropy-Based Strategies: A Semantic-Augmented Hybrid Approach
Published 2025-05-01“…This study examines the effectiveness of combining semantic intelligence drawn from large language models (LLMs) such as ChatGPT-4o with traditional machine-learning (ML) algorithms to develop predictive portfolio strategies for NASDAQ-100 stocks over the 2020–2025 period. …”
Get full text
Article -
34
Threshold Successive Cancellation Flip Decoding Algorithm for Polar Codes: Design and Performance
Published 2025-06-01Get full text
Article -
35
Routing Algorithm Within the Multiple Non-Overlapping Paths’ Approach for Quantum Key Distribution Networks
Published 2024-12-01Get full text
Article -
36
An Information Geometry-Based Track-Before-Detect Algorithm for Range-Azimuth Measurements in Radar Systems
Published 2025-06-01Get full text
Article -
37
A fuzzy compromise solution framework for assessing the early effect of COVID-19 on global stock indices
Published 2024-12-01Get full text
Article -
38
A Machine Learning-Based Ransomware Detection Method for Attackers’ Neutralization Techniques Using Format-Preserving Encryption
Published 2025-04-01“…A newer approach measures file entropy to detect infected files, but attackers counter this by using encoding algorithms like Base64 to bypass detection thresholds. …”
Get full text
Article -
39
Methods for Extracting Fractional Vegetation Cover from Differentiated Scenarios Based on Unmanned Aerial Vehicle Imagery
Published 2024-11-01“…Nonetheless, higher scene complexity and image entropy reduce the applicability of precise FVC extraction methods. …”
Get full text
Article -
40
The role of hybrid models in financial decision-making: Forecasting stock prices with advanced algorithms
Published 2025-03-01“…This study introduces a novel hybrid model to tackle the abovementioned issues by integrating various algorithms, including bidirectional long short-term memory and random forest. …”
Get full text
Article