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Influence of One-Way ANOVA and Kruskal–Wallis Based Feature Ranking on the Performance of ML Classifiers for Bearing Fault Diagnosis
PurposeCondition monitoring and fault diagnosis of Rolling Element Bearings (REBs) is a crucial and time-consuming task. The advantage of automating...
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An improved confusion matrix for fusing multiple K-SVD classifiers
The combination of K-SVD classifiers has been proved to be an effective tool for improving the performance in recognition applications. The rationale...
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Improved Watershed Segmentation and DualNet Deep Learning Classifiers for Breast Cancer Classification
Breast cancer is a deadly, noncommunicable disease that affects women worldwide. Early detection is crucial in providing effective treatment and...
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Multi-image fusion: optimal decomposition strategy with heuristic-assisted non-subsampled shearlet transform for multimodal image fusion
Image fusion is significant in various distinct sectors of image processing, from remote sensing to medical applications. In recent years,...
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A weighted fuzzy belief factor-based D-S evidence theory of sensor data fusion method and its application to face recognition
Automatic Face Recognition (AFR) plays an important role in wide range of applications such as, smart cities, consumer-level and organizational-level...
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Toward CNN-Based Motor-Imagery EEG Classification with Fuzzy Fusion
Recently, decoding human electroencephalographic (EEG) data using convolutional neural network (CNN) has driven the state-of-the-art recognition of...
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Swin-Fusion: Swin-Transformer with Feature Fusion for Human Action Recognition
Human action recognition based on still images is one of the most challenging computer vision tasks. In the past decade, convolutional neural...
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Hybrid model with improved score level fusion for heart disease classification
The heart, an essential organ of the body, pumps blood filled with oxygen to every area of the body through a complex network of veins and arteries....
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Reconstruction of missing resonances combining nearest neighbors regressors and neural network classifiers
Neutrinos, dark matter, and long-lived neutral particles traverse the particle detectors unnoticed, carrying away information about their parent...
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A feature fusion-based communication jamming recognition method
The electromagnetic environment is becoming increasingly complex, with communication jamming intensifying. Accurately identifying the type of jamming...
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Protein features fusion using attributed network embedding for predicting protein-protein interaction
BackgroundProtein-protein interactions (PPIs) hold significant importance in biology, with precise PPI prediction as a pivotal factor in...
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Deep visual-linguistic fusion network considering cross-modal inconsistency for rumor detection
With the development of the Internet, users can freely publish posts on various social media platforms, which offers great convenience for kee**...
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Binary and Ternary Classifiers to Detect COVID-19 Patients Using Chest X-ray Images: An Efficient Layered CNN Approach
Coronavirus disease 2019, i.e., COVID-19, an emerging contagious disease with human-to-human transmission, first appeared at the end of year 2019....
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Optimized pixel level image fusion for lung cancer detection over MRI and pet image
Lung cancer is an abnormal development of cells that are uncontrollably proliferating. When using a system for medical diagnostics, the precise...
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Multi-label movie genre classification based on multimodal fusion
Determining the genre of a movie based on its relevant information is a challenging multi-label classification task. Previous studies tended to...
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Integrating node centralities, similarity measures, and machine learning classifiers for link prediction
Link prediction is a widely studied topic in graph data analytics and finds numerous applications like friend recommendations in social networks and...
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Comparison of Different Fusion Radiomics for Predicting Benign and Malignant Sacral Tumors: A Pilot Study
Differentiating between benign and malignant sacral tumors is crucial for determining appropriate treatment options. This study aims to develop two...
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A Framework for Biometric Authentication based on Decision Level Fusion
Unimodal systems are still facing challenges in authentication though there are considerable advances in recent years. Some of the challenges can be...
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Enhancing Student Success Prediction with FeatureX: A Fusion Voting Classifier Algorithm with Hybrid Feature Selection
Monitoring students' academic progress is vital for ensuring timely completion of their studies and supporting at-risk students. Educational Data...
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Evaluation of visual relationship classifiers with partially annotated datasets
In this work, we investigate neural networks as visual relationship classifiers for precision-constrained applications in partially annotated...
