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Explainable Dynamic Ensemble Framework for Classification Based on the Late Fusion of Heterogeneous Multimodal Data
Ensuring precise and reliable classification effectiveness holds paramount importance in essential sectors such as medicine, industry, and...
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TFN-FICFM: sEMG-Based Gesture Recognition Using Temporal Fusion Network and Fuzzy Integral-based Classifier Fusion
Surface electromyography (sEMG)-based gesture recognition is a key technology in the field of human–computer interaction. However, existing gesture...
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Multiple Predominant Instruments Recognition in Polyphonic Music Using Spectro/Modgd-gram Fusion
Identification of multiple predominant instruments in polyphonic music is addressed using convolutional neural networks (CNN) through...
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Multispectral Image Segmentation in Agriculture: A Comprehensive Study on Fusion Approaches
Multispectral imagery is frequently incorporated into agricultural tasks, providing valuable support for applications such as image segmentation,...
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Dual Stream Cross Domain Feature Fusion for Land-Oceanic Object Detection
Unmanned platforms are equipped with dual-light sensor, but the detectors are usually trained on visible-light images. For land-oceanic objects, it...
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Late Fusion of Convolutional Neural Network with Wavelet-Based Ensemble Classifier for Acoustic Scene Classification
Log-Mel spectrogram for the convolutional neural network (CNN) and wavelet time scattering for Ensemble of subspace discriminant classifiers is used...
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Multimodal Data Fusion Architectures in Audiovisual Speech Recognition
In the big data era, we are facing a diversity of datasets from different sources in different domains that describe a single life event. These...
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Robust Environmental Perception of Multi-sensor Data Fusion
In this chapter, the multi-sensor data fusion based neural networks are adopted to environmental perception fault tolerance algorithms. Multi-sensor...
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Multi-modal fusion for robust hand gesture recognition based on heterogeneous networks
Hand gesture recognition has become a vital subject in the fields of human-computer interaction and rehabilitation assessment. This paper presents a...
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Image fusion research based on the Haar-like multi-scale analysis
In view of the serious color and definition distortion in the process of the traditional image fusion, this study proposes a Haar-like multi-scale...
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Rice Leaf Disease Classification Using Deep Learning with Fusion Concept
Over half of the world’s population relies primarily on rice as a source of energy. It is essential to discover the disease in the rice plant at the...
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Reconstructed Thermal Image Fusion Based on Multi-objective Guided Filtering
Image fusion techniques can fuse the reconstructed thermal images that characterize different damage morphologies together, effectively improving the...
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Transformer fusion-based scale-aware attention network for multispectral victim detection
The aftermath of a natural disaster leaves victims trapped in rubble which is challenging to detect by smart drones due to the victims in low...
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Visible and Infrared Image Fusion for Object Detection: A Survey
Thanks to the advancements of Deep Learning (DL) Algorithms. DL-based object detection models has witnessed remarkable success in the past few years....
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Comparison and Performance Evaluation of Fusion Mechanism for Audio–Video Based Multimodal Emotion Recognition
Artificial emotional intelligence is an emerging research area in artificial intelligence. In artificial intelligence, machine learning and deep...
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Multimodal data fusion for cancer biomarker discovery with deep learning
Technological advances have made it possible to study a patient from multiple angles with high-dimensional, high-throughput multiscale biomedical...
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Decision-level fusion detection method of visible and infrared images under low light conditions
Aiming at the problem of poor effect of object detection with visible images under low light conditions, the decision-level fusion detection method...
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Data-Model Fusion RUL Prediction
This chapter mainly concentrates on data-model fusion RUL prediction methods of mechanical systems. In industries, it is generally feasible to obtain...
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Multi-view Detection Method for UAVs Based on Probabilistic Fusion
Human detection by a single unmanned aerial vehicle (UAV) is easily limited by the angle of view, which cannot obtain enough feature information...
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A review on speech emotion recognition for late deafened educators in online education
In an online class, students respond to queries initiated by the educator through voice, video, or chat. The educator receives these responses but...
