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Multimodality and Architectural Education
Advances in information and communication technologies have been the catalyst for substantial transformations in the field of architecture and in...
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Multimodality and Architectural Technology
Architectural technology enables the creation, generation and sharing of innovative design solutions that have the potential to transform society....
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Multimodality in Architecture Collaboration, Technology and Education
This book examines multimodality in architecture and its impacts on collaborative, technical and educational processes or systems.
Multimodality is...
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Multimodality treatment planning using the Markov decision process: a comprehensive study of applications and challenges
PurposeAccording to the oncologist, a single medication is insufficient to completely cure the disease; as a result, most patients undergo treatment...
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Multimodality and Architectural Collaboration
Architectural collaboration has been evolving in response to shifts in our sociotechnical systems. Particularly, multiple modes of digital...
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Multimodality Brain Tumor Image Fusion Using Wavelet and Contourlet Transformation
Image fusion is an important sector for a number of real-time approaches to obtaining the prescribed infusion in the field of aerial and satellite...
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Sustainable Urban Mobility–Multimodality as a Chance for Greener Cities: Evidence from Slovakia
The importance of sustainable mobility has also been confirmed this year by the global pandemic of COVID-19, which has reduced the mobility of the...
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Cross-dimensional knowledge-guided synthesizer trained with unpaired multimodality MRIs
Magnetic resonance images (MRIs) of different modalities have different reference values for pathological diagnosis. The difficulty of obtaining...
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Statistical Machine Learning for Corn Yield Prediction Based High-Resolution Satellite Imagery: Comparison Between Raw Data and a Multimodality Approach
Agriculture is an essential source which ensures a balance on different fields. It contributes in particular to meet the needs of human beings. To do...
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Multimodality in Virtual Co-urban Design
A multimodal co-design in virtual urban design refers to a human–computer interaction system composed of the comprehensive usage of various input and...
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Digital Solutions for Multimodality in the China-Europe Route
The field of logistics operations, including multimodal transport in the China-Europe direction, is facing, on the one hand, an increase in freight...
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The Foundations of Creativity: Human Inquiry Explained Through the Neuro-Multimodality of Abduction
This chapter offers arguments in favor of a morphological characterization of situated abductive processes in perception, considering them as...
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Hyperparameter Optimization of Deep Neural Network in Multimodality Fused Medical Image Classification for Medical and Industrial IoT
Industrial Internet of Things (IIoT) refers to the extension and utilization of the Internet of Things (IoT) in industrial sectors and applications....
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The Foundations of Creativity: Human Inquiry Explained Through the Neuro-Multimodality of Abduction
This chapter offers arguments in favor of a morphological characterization of situated abductive processes in perception, considering them as...
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IELTS-Oriented College English Teaching Design from the Perspective of Multimodality
IELTS-oriented College English aims to foster student’s comprehensive abilities including basic expressing, cross-cultural communication and critical...
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An Incremental Approach Based on Hierarchical Classification in Multikernel Fuzzy Rough Sets Under the Variation of Object Set
In the context of the era of big data, hybrid data are multimodality, including numerical, images, audio, etc., and even attribute values may have...
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A Multimodality Medical Image Fusion Method Using Region Based Approach
Image fusion is a procedure in which the different modality images are combined to get the composite image that retains the useful information....
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Target-oriented multimodal sentiment classification by using topic model and gating mechanism
Multimodality sentiment classification of social media attracts increasing attention, whose main purpose is to predict the sentiment of the target...
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Explainability of Depression Detection on Social Media: From Deep Learning Models to Psychological Interpretations and Multimodality
Mental disorders are an important public health issue. Computational methods have the potential to aid with the detection of risky behaviors online,...
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Fuzzy Metadata Augmentation for Multimodal Data Classification
A fuzzy metadata augmentation (FMDA) method is proposed for the image classification problem for single-modal data (with image input) model and...