Search
Search Results
-
Feature selection with multi-objective genetic algorithm based on a hybrid filter and the symmetrical complementary coefficient
With the expansion of data size and data dimension, feature selection attracts more and more attention. In this paper, we propose a novel feature...
-
Feature selection with Symmetrical Complementary Coefficient for quantifying feature interactions
In the field of machine learning and data mining, feature interaction is a ubiquitous issue that cannot be ignored and has attracted more attention...
-
Tuning of Complex Coefficient Fractional Complex Order Controllers for a Generalized System Structure—An Optimisation Approach
In general, controllers for integer, fractional and fractional complex order systems with dead time are tuned either analytically or through...
-
Use of augmented reality in science education: A mixed-methods research with the multi-complementary approach
The present research is an examination of Augmented Reality (AR) applications in Science Education using the Multi-complementary Approach (McA). This...
-
cFEM: a cluster based feature extraction method for network intrusion detection
The recent trend in network intrusion detection leverages key features of machine learning (ML) algorithms to detect network traffic anomalies....
-
A geometric semantic macro-crossover operator for evolutionary feature construction in regression
Evolutionary feature construction has been successfully applied to various scenarios. In particular, multi-tree genetic programming-based feature...
-
Integrating Diagnostic Tools in the Ariosto Room
At the Noble floor of the Chigi Palace in Ariccia, the left wing of the building hosts the Ariosto Room (Sala dell’Ariosto), characterised by the...
-
Head and Neck Tumor Segmentation with Deeply-Supervised 3D UNet and Progression-Free Survival Prediction with Linear Model
Accurate segmentation of Head and Neck (H&N) tumor has important clinical relevance in disease characterization, thereby holding a strong potential...
-
Texture image retrieval based on fusion of local and global features
Neither a single local feature nor a single global feature can completely characterize image information, and fusion of two or more complementary...
-
Ka-band broadband filtering packaging antenna based on through-glass vias (TGVs)
This work presents a novel design of Ka-band (33 GHz) filtering packaging antenna (FPA) that features broadband and great filtering response, and is...
-
Rethinking a Unified Generative Adversarial Model for MRI Modality Completion
Multi-modal MRIs are essential in medical diagnosis; however, the problem of missing modalities often occurs in clinical practice. Although recent...
-
Super-Resolution Reconstruction of Single Image Combining Bionic Eagle-Eye and Multi-scale
The sufficient extraction of high and low frequency features is the key to solving the loss of reconstructed image details and ensuring the maximum...
-
Transformation of a metasurface on the substrate interface into the same metasurface in a homogenized substrate based on two kinds of modified Babinet’s principles
Previously, the metasurface was usually manufactured on a dielectric substrate using the printed circuit boards (PCB) technology. However, due to the...
-
A dual-path U-Net for pulmonary vessel segmentation method based on lightweight 3D attention
In recent years, pulmonary vessel segmentation has aroused widespread interest in medical image analysis. However, the structure of pulmonary vessels...
-
Dual-branch spectral–spatial feature extraction network for multispectral image compression
The advent of the information age and the continuous development of spectrum imaging technologies have both triggered an explosion of multispectral...
-
Texture image retrieval using DNST domain local neighborhood intensity pattern
In this paper, we proposed a new texture image retrieval method based on discrete non-separable shearlet transform (DNST) domain local neighborhood...
-
Leakage and Discharge Fault Detection Technology of Subway Electromechanical Equipment Based on Big Data Analysis
Due to the defects of its own components and the influence of external factors, the metro electromechanical equipment is prone to leakage and...
-
A two-stage enhancement network with optimized effective receptive field for speckle image reconstruction
Reconstructing target objects from strong speckle images is a key step for solving complex inverse scattering imaging problems. Deep learning (DL)...
-
Conclusion and Developments
We will start by taking a look at what has been done in this book. In the part that stands out, it is an ordinalOrdinal structure that synthesizes...
-
Dynamic-Static Cross Attentional Feature Fusion Method for Speech Emotion Recognition
The dynamic-static fusion features play an important role in speech emotion recognition (SER). However, the fusion methods of dynamic features and...