Results 101 to 110 of about 4,404,768 (300)

Geolocation on Cartographic Maps with Multi-Modal Fusion

2024 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS)
We explore the geolocation problem, aiming to localize ground-view images on cartographic maps, without the need of any GPS priors. This task mimics the human wayfinding ability and offers high scalability and robustness by using the compact and semantic representations of maps.
Zhou, Mengjie, Liu, Liu, Zhong, Yiran, Calway, Andrew   +3 more
openaire   +1 more source

New AI‐Assisted Approach for Expanding the Solution Space: Application to Lattice Structure Design

Advanced Engineering Materials, EarlyView.
This work introduces an innovative framework for designing structured materials by ex panding the design space through reparameterization of qualitative variables into continuous structural descriptors. Combined with machine‐learning‐based prediction and multi‐objective optimization, the approach enables the discovery of novel lattice architectures ...
G. H. Gahimbare, Y. Beideler, D. Chune, R. De Guio, T. Roland, H. Chibane   +5 more
wiley   +1 more source

Multi‐modal fusion attention sentiment analysis for mixed sentiment classification

Cognitive Computation and Systems
Mixed sentiment classification (MSC) technology has a significant research value and application potential in understanding and analysing sentimental interactions.
Zhuanglin Xue, Jiabin Xu
doaj   +1 more source

OntOMat: Toward Ontology‐Based Product and Process Design Engineering and Optimization Solutions Fueling Circular Value Chains

Advanced Engineering Materials, EarlyView.
The OntOMat ontology establishes a structured framework for polymer matrix fiber reinforced composite materials, integrating manufacturing processes, characterization methods, and multiscale design through the VDI/VDE 3682 formalized process description standard.
Nicolas Christ, Jörg Hohe, Martin Kördel, Michael Giese, Niklas Toffert, Christian Seidel, Olaf Rehme, Patrik Schneider, Oliver Focke, Elie Abi Aoun, Claas Falldorf, Beñat Gutierrez, Alexandra Kühn, Sven Torstrick-von der Lieth, Christoph Herden, Erik Johannsen, Jan‐Uwe R. Schmidt, Felix Winkelmann, Andreas Schott, Daniel Schott   +19 more
wiley   +1 more source

Materials‐Driven Additive Manufacturing for Electrical Machines: Qualification‐Oriented Design Beyond Geometric Freedom

Advanced Engineering Materials, EarlyView.
This perspective reframes additive manufacturing for electrical machines as a qualification‐limited materials and architecture design problem. It links process–structure–property–performance relationships to magnetic, conducting, dielectric, and thermal property windows, highlighting where AM can enable segmented magnetic circuits, permanent magnet ...
Dénes Fodor, Loránd Szabó
wiley   +1 more source

Image and Encoded Text Fusion for Multi-Modal Classification

, 2018
Multi-modal approaches employ data from multiple input streams such as textual and visual domains. Deep neural networks have been successfully employed for these approaches.
Gallo, I, Janjua, MK, Nawaz, S, S. Nawaz, A. Calefati, M. K. Janjua, Calefati, A, I. Gallo   +7 more
core   +1 more source

Remote sensing semantic segmentation based on multimodal feature alignment and fusion [PDF]

The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences
The accurate semantic segmentation of remote sensing data is of paramount importance to the success of geoscience research and applications. In comparison to traditional single-modal segmentation techniques, models based on multi-modal fusion have ...
B. Chang, T. Balz
doaj   +1 more source

Generative-Based Fusion Mechanism for Multi-Modal Tracking

Proceedings of the AAAI Conference on Artificial Intelligence
Generative models (GMs) have received increasing research interest for their remarkable capacity to achieve comprehensive understanding. However, their potential application in the domain of multi-modal tracking has remained unexplored. In this context, we seek to uncover the potential of harnessing generative techniques to address the critical ...
Zhangyong Tang, Tianyang Xu 0001, Xuefeng Zhu 0003, Xiao-Jun Wu 0001, Josef Kittler   +4 more
openaire   +2 more sources

An automatic fusion algorithm for multi-modal medical images

Computer Methods in Biomechanics and Biomedical Engineering: Imaging & Visualization, 2017
AbstractMulti-modal medical image fusion provides an informative and qualitative image, which enhances the accuracy of clinical diagnosis and surgical planning. The most common and effective approaches for medical image fusion involve principal component analysis (PCA), the discrete wavelet transform and the dual-tree complex wavelet transform (DTCWT).
Mst. Nargis Aktar, Andrew J. Lambert, Mark Pickering   +2 more
openaire   +2 more sources

Rotary 3D Printing With Integrated Electroplating

Advanced Engineering Materials, EarlyView.
A rotary material extrusion platform integrates localized copper electroplating with printing and encapsulation to fabricate cylindrical polymer–metal structures containing fully embedded, low‐resistance conductive pathways that enable internal Joule heating and thermally activated shape‐memory responses.
Antonio Zagaria, Nicola Larovere, Moslem Mohammadi, Gianluca Percoco, Ali Zolfagharian, Gianni Stano   +5 more
wiley   +1 more source