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Multimodal Information Retrieval
In today’s rapidly evolving digital landscape, the wealth of available information has expanded beyond the boundaries of traditional text-based...
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Semantic deep learning and adaptive clustering for handling multimodal multimedia information retrieval
Multimedia data encompasses various modalities, including audio, visual, and text, necessitating the development of robust retrieval methods capable...
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A Review of Key Technologies for Emotion Analysis Using Multimodal Information
Emotion analysis, an integral aspect of human–machine interactions, has witnessed significant advancements in recent years. With the rise of...
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The role of information and communication technologies and access to electricity on education in Africa
Access to quality education for all children is important for achieving the Sustainable Development Goals especially in Africa. However, information...
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A Multimodal Contrastive Federated Learning for Digital Healthcare
Digital healthcare applications have gained enormous global interest due to the rapid development of the internet of medical things (IoMT), which...
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Bridging the gap between website accessibility and lexicography: information access in online dictionaries
Information access has been one of the main concerns of lexicography since the first dictionaries were compiled. This paper draws an explicit link...
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Artificial intelligence-Enabled deep learning model for multimodal biometric fusion
The goal of information security is to prevent unauthorized access to data. There are several conventional ways to confirm user identity, such as...
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Multimodal heterogeneous graph attention network
The real world involves many graphs and networks that are essentially heterogeneous, in which various types of relations connect multiple types of...
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Multimodal Fusion of Brain Imaging Data: Methods and Applications
Neuroimaging data typically include multiple modalities, such as structural or functional magnetic resonance imaging, diffusion tensor imaging, and...
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A depression detection model based on multimodal graph neural network
Depression is a prevalent mental illness, especially major depression, which has a negative impact on individuals and society. In clinical practice,...
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Multimodal meta-learning through meta-learned task representations
Few-shot meta-learning involves training a model on multiple tasks to enable it to efficiently adapt to new, previously unseen tasks with only a...
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Predictive Assessment of the Interior Quality of Apartments Based on Multimodal Data with Variable Visual Input
Multimodal analyses in the context of automated real estate valuation (AVM) offer the possibility of enriching the models with additional...
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Face-Iris multimodal biometric recognition system based on deep learning
With the increasing demand for user recognition in several recent applications, experts highly recommend using biometric identification technology in...
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A review of multimodal learning for text to images
Information exists in various forms in the real world, and the effective interaction and fusion of multimodal information plays a key role in the...
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Multimodal 3D Object Retrieval
Three-dimensional (3D) retrieval of objects and models plays a crucial role in many application areas, such as industrial design, medical imaging,...
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Artificial intelligence and multimodal data fusion for smart healthcare: topic modeling and bibliometrics
Advancements in artificial intelligence (AI) have driven extensive research into develo** diverse multimodal data analysis approaches for smart...
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Ameliorating multimodal food classification using state of the art deep learning techniques
Food categorization is the new era of research due to its growing benefits in the health and medical fields. Undoubtedly, automated food recognition...
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Using Multimodal Data to Improve Precision of Inpatient Event Timelines
Textual data often describe events in time but frequently contain little information about their specific timing, whereas complementary structured...
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Multimodal Labor Exploitation Detections for Taiwan Distant Water Fishing Industry
Taiwan plays a significant role in global seafood supply chains, accounting for approximately 10% of global tuna catches. The country is a...
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Computational challenges for multimodal astrophysics
In the coming decades, we will face major computational challenges, when the improved sensitivity of third-generation gravitational wave detectors...
