Artigos de revistas sobre o tema "Multimodal data processing"
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Kyselova, A. H., G. D. Kiselov, A. A. Serhyeyev e A. V. Shalaginov. "Processing input data in multimodal applications". Electronics and Communications 16, n.º 2 (28 de março de 2011): 86–92. http://dx.doi.org/10.20535/2312-1807.2011.16.2.268253.
Texto completo da fonteBoyko, Nataliya. "Models and Algorithms for Multimodal Data Processing". WSEAS TRANSACTIONS ON INFORMATION SCIENCE AND APPLICATIONS 20 (14 de março de 2023): 87–97. http://dx.doi.org/10.37394/23209.2023.20.11.
Texto completo da fonteParsons, Aaron D., Stephen W. T. Price, Nicola Wadeson, Mark Basham, Andrew M. Beale, Alun W. Ashton, J. Frederick W. Mosselmans e Paul D. Quinn. "Automatic processing of multimodal tomography datasets". Journal of Synchrotron Radiation 24, n.º 1 (1 de janeiro de 2017): 248–56. http://dx.doi.org/10.1107/s1600577516017756.
Texto completo da fonteQi, Qingfu, Liyuan Lin e Rui Zhang. "Feature Extraction Network with Attention Mechanism for Data Enhancement and Recombination Fusion for Multimodal Sentiment Analysis". Information 12, n.º 9 (24 de agosto de 2021): 342. http://dx.doi.org/10.3390/info12090342.
Texto completo da fonteChen, Mujun. "Automatic Image Processing Algorithm for Light Environment Optimization Based on Multimodal Neural Network Model". Computational Intelligence and Neuroscience 2022 (3 de junho de 2022): 1–12. http://dx.doi.org/10.1155/2022/5156532.
Texto completo da fonteBASYSTIUK, Oleh, e Nataliia MELNYKOVA. "MULTIMODAL SPEECH RECOGNITION BASED ON AUDIO AND TEXT DATA". Herald of Khmelnytskyi National University. Technical sciences 313, n.º 5 (27 de outubro de 2022): 22–25. http://dx.doi.org/10.31891/2307-5732-2022-313-5-22-25.
Texto completo da fonteBasystiuk, Oleh, e Nataliya Melnykova. "Development of the Multimodal Handling Interface Based on Google API". Computer Design Systems. Theory and Practice 6, n.º 1 (2024): 216–23. http://dx.doi.org/10.23939/cds2024.01.216.
Texto completo da fonteSulema, Yevgeniya. "MULTIMODAL DATA PROCESSING BASED ON ALGEBRAIC SYSTEM OF AGGREGATES RELATIONS". Radio Electronics, Computer Science, Control, n.º 1 (15 de maio de 2020): 169–80. http://dx.doi.org/10.15588/1607-3274-2020-1-17.
Texto completo da fonteRen, Jinchang, Junwei Han e Mauro Dalla Mura. "Special issue on multimodal data fusion for multidimensional signal processing". Multidimensional Systems and Signal Processing 27, n.º 4 (8 de agosto de 2016): 801–5. http://dx.doi.org/10.1007/s11045-016-0441-0.
Texto completo da fonteChen, Shu-Ching. "Embracing Multimodal Data in Multimedia Data Analysis". IEEE MultiMedia 28, n.º 3 (1 de julho de 2021): 5–7. http://dx.doi.org/10.1109/mmul.2021.3104911.
Texto completo da fontePenia, Oleksandr, e Yevgeniya Sulema. "ЗАСТОСУВАННЯ ГЛИБОКИХ ШТУЧНИХ НЕЙРОННИХ МЕРЕЖ ДЛЯ КЛАСИФІКАЦІЇ МУЛЬТИМОДАЛЬНИХ ДАНИХ". System technologies 6, n.º 149 (1 de abril de 2024): 11–22. http://dx.doi.org/10.34185/1562-9945-6-149-2023-02.
Texto completo da fontePester, Andreas, Yevgeniya Sulema, Ivan Dychka e Olga Sulema. "Temporal Multimodal Data-Processing Algorithms Based on Algebraic System of Aggregates". Algorithms 16, n.º 4 (29 de março de 2023): 186. http://dx.doi.org/10.3390/a16040186.
Texto completo da fontePing, Zou, e Yueyan Liu. "Classification and Visual Design Analysis of Network Expression Based on Big Data Multimodal Intelligence Technology". Discrete Dynamics in Nature and Society 2022 (20 de abril de 2022): 1–7. http://dx.doi.org/10.1155/2022/7542606.
Texto completo da fonteMingyu, Ji, Zhou Jiawei e Wei Ning. "AFR-BERT: Attention-based mechanism feature relevance fusion multimodal sentiment analysis model". PLOS ONE 17, n.º 9 (9 de setembro de 2022): e0273936. http://dx.doi.org/10.1371/journal.pone.0273936.
Texto completo da fonteSohrab, Fahad, Jenni Raitoharju, Alexandros Iosifidis e Moncef Gabbouj. "Multimodal subspace support vector data description". Pattern Recognition 110 (fevereiro de 2021): 107648. http://dx.doi.org/10.1016/j.patcog.2020.107648.
Texto completo da fonteKuhnke, Philipp, Markus Kiefer e Gesa Hartwigsen. "Task-Dependent Functional and Effective Connectivity during Conceptual Processing". Cerebral Cortex 31, n.º 7 (3 de março de 2021): 3475–93. http://dx.doi.org/10.1093/cercor/bhab026.
Texto completo da fonteBoyko, Nataliya. "Tools for Implementing the Models and Algorithms for Processing Multimodal Data". Computer Science and Information Technology 11, n.º 1 (abril de 2023): 1–10. http://dx.doi.org/10.13189/csit.2023.110101.
Texto completo da fonteBarros, Marcel, Andressa Pinto, Andres Monroy, Felipe Moreno, Jefferson Coelho, Aldomar Pietro Silva, Caio Fabricio Deberaldini Netto et al. "Early Detection of Extreme Storm Tide Events Using Multimodal Data Processing". Proceedings of the AAAI Conference on Artificial Intelligence 38, n.º 20 (24 de março de 2024): 21923–31. http://dx.doi.org/10.1609/aaai.v38i20.30194.
Texto completo da fonteGuo, Zhixin, Chaoyang Wang, Jianping Zhou, Guanjie Zheng, Xinbing Wang e Chenghu Zhou. "GeoKnowledgeFusion: A Platform for Multimodal Data Compilation from Geoscience Literature". Remote Sensing 16, n.º 9 (23 de abril de 2024): 1484. http://dx.doi.org/10.3390/rs16091484.
Texto completo da fontePawłowski, Maciej, Anna Wróblewska e Sylwia Sysko-Romańczuk. "Effective Techniques for Multimodal Data Fusion: A Comparative Analysis". Sensors 23, n.º 5 (21 de fevereiro de 2023): 2381. http://dx.doi.org/10.3390/s23052381.
Texto completo da fonteFijalkow, Inbar, Elad Heiman e Hagit Messer. "Parameter Estimation from Heterogeneous/Multimodal Data Sets". IEEE Signal Processing Letters 23, n.º 3 (março de 2016): 390–93. http://dx.doi.org/10.1109/lsp.2016.2523886.
Texto completo da fonteKatz, Ori, Ronen Talmon, Yu-Lun Lo e Hau-Tieng Wu. "Alternating diffusion maps for multimodal data fusion". Information Fusion 45 (janeiro de 2019): 346–60. http://dx.doi.org/10.1016/j.inffus.2018.01.007.
Texto completo da fonteWu, Laiyun, Jee Eun Kang, Younshik Chung e Alexander Nikolaev. "Monitoring Multimodal Travel Environment Using Automated Fare Collection Data: Data Processing and Reliability Analysis". Journal of Big Data Analytics in Transportation 1, n.º 2-3 (25 de novembro de 2019): 123–46. http://dx.doi.org/10.1007/s42421-019-00012-w.
Texto completo da fonteKulvinder Singh, Et al. "Enhancing Multimodal Information Retrieval Through Integrating Data Mining and Deep Learning Techniques". International Journal on Recent and Innovation Trends in Computing and Communication 11, n.º 9 (30 de outubro de 2023): 560–69. http://dx.doi.org/10.17762/ijritcc.v11i9.8844.
Texto completo da fonteEngebretsen, Martin. "From Decoding a Graph to Processing a Multimodal Message". Nordicom Review 41, n.º 1 (18 de fevereiro de 2020): 33–50. http://dx.doi.org/10.2478/nor-2020-0004.
Texto completo da fonteBergamaschi, Antoine, Kadda Medjoubi, Cédric Messaoudi, Sergio Marco e Andrea Somogyi. "MMX-I: data-processing software for multimodal X-ray imaging and tomography". Journal of Synchrotron Radiation 23, n.º 3 (12 de abril de 2016): 783–94. http://dx.doi.org/10.1107/s1600577516003052.
Texto completo da fonteKotus, J., K. Łopatka, A. Czyżewski e G. Bogdanis. "Processing of acoustical data in a multimodal bank operating room surveillance system". Multimedia Tools and Applications 75, n.º 17 (17 de outubro de 2014): 10787–805. http://dx.doi.org/10.1007/s11042-014-2264-z.
Texto completo da fonteKawadkar, Pankaj, B.Rebecca e Puppala Krupa Sagar. "Clustering Techniques for Person Authentication from Online Intelligence Data Inspired by Nature". International Journal of Scientific Methods in Engineering and Management 01, n.º 04 (2023): 31–38. http://dx.doi.org/10.58599/ijsmem.2023.1404.
Texto completo da fonteZhang, Zhenchao, George Vosselman, Markus Gerke, Claudio Persello, Devis Tuia e Michael Ying Yang. "Detecting Building Changes between Airborne Laser Scanning and Photogrammetric Data". Remote Sensing 11, n.º 20 (18 de outubro de 2019): 2417. http://dx.doi.org/10.3390/rs11202417.
Texto completo da fonteDmytro, Rvach, e Yevgeniya Sulema. "Mulsemedia data consolidation method". System technologies 6, n.º 143 (13 de novembro de 2023): 69–79. http://dx.doi.org/10.34185/1562-9945-6-143-2022-06.
Texto completo da fonteIvanko, Denis, Alexey Karpov, Dmitrii Fedotov, Irina Kipyatkova, Dmitry Ryumin, Dmitriy Ivanko, Wolfgang Minker e Milos Zelezny. "Multimodal speech recognition: increasing accuracy using high speed video data". Journal on Multimodal User Interfaces 12, n.º 4 (1 de agosto de 2018): 319–28. http://dx.doi.org/10.1007/s12193-018-0267-1.
Texto completo da fonteBauer, Dominik F., Tom Russ, Barbara I. Waldkirch, Christian Tönnes, William P. Segars, Lothar R. Schad, Frank G. Zöllner e Alena-Kathrin Golla. "Generation of annotated multimodal ground truth datasets for abdominal medical image registration". International Journal of Computer Assisted Radiology and Surgery 16, n.º 8 (2 de maio de 2021): 1277–85. http://dx.doi.org/10.1007/s11548-021-02372-7.
Texto completo da fonteSun, Fanglei, e Zhifeng Diao. "Research on Data Fusion Method Based on Multisource Data Awareness of Internet of Things". Journal of Sensors 2022 (4 de julho de 2022): 1–10. http://dx.doi.org/10.1155/2022/5001953.
Texto completo da fontePaulmann, Silke, Sarah Jessen e Sonja A. Kotz. "Investigating the Multimodal Nature of Human Communication". Journal of Psychophysiology 23, n.º 2 (janeiro de 2009): 63–76. http://dx.doi.org/10.1027/0269-8803.23.2.63.
Texto completo da fonteDychka, Ivan A., e Yevgeniya S. Sulema. "Logical Operations in Algebraic System of Aggregates for Multimodal Data Representation and Processing". Research Bulletin of the National Technical University of Ukraine "Kyiv Politechnic Institute", n.º 6 (17 de dezembro de 2018): 44–52. http://dx.doi.org/10.20535/1810-0546.2018.6.151546.
Texto completo da fonteRivière, D., D. Geffroy, I. Denghien, N. Souedet e Y. Cointepas. "BrainVISA: an extensible software environment for sharing multimodal neuroimaging data and processing tools". NeuroImage 47 (julho de 2009): S163. http://dx.doi.org/10.1016/s1053-8119(09)71720-3.
Texto completo da fontePamart, A., O. Guillon, S. Faraci, E. Gattet, M. Genevois, J. M. Vallet e L. De Luca. "MULTISPECTRAL PHOTOGRAMMETRIC DATA ACQUISITION AND PROCESSING FORWALL PAINTINGS STUDIES". ISPRS - International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences XLII-2/W3 (23 de fevereiro de 2017): 559–66. http://dx.doi.org/10.5194/isprs-archives-xlii-2-w3-559-2017.
Texto completo da fonteCaschera, Maria Chiara, Patrizia Grifoni e Fernando Ferri. "Emotion Classification from Speech and Text in Videos Using a Multimodal Approach". Multimodal Technologies and Interaction 6, n.º 4 (12 de abril de 2022): 28. http://dx.doi.org/10.3390/mti6040028.
Texto completo da fontePorta, Alberto, Federico Aletti, Frederic Vallais e Giuseppe Baselli. "Multimodal signal processing for the analysis of cardiovascular variability". Philosophical Transactions of the Royal Society A: Mathematical, Physical and Engineering Sciences 367, n.º 1887 (22 de outubro de 2008): 391–409. http://dx.doi.org/10.1098/rsta.2008.0229.
Texto completo da fonteDecker, Kevin T., e Brett J. Borghetti. "Hyperspectral Point Cloud Projection for the Semantic Segmentation of Multimodal Hyperspectral and Lidar Data with Point Convolution-Based Deep Fusion Neural Networks". Applied Sciences 13, n.º 14 (14 de julho de 2023): 8210. http://dx.doi.org/10.3390/app13148210.
Texto completo da fonteGoel, Anshika, Saurav Roy, Khushboo Punjabi, Ritwick Mishra, Manjari Tripathi, Deepika Shukla e Pravat K. Mandal. "PRATEEK: Integration of Multimodal Neuroimaging Data to Facilitate Advanced Brain Research". Journal of Alzheimer's Disease 83, n.º 1 (31 de agosto de 2021): 305–17. http://dx.doi.org/10.3233/jad-210440.
Texto completo da fonteMohd Ali, Maimunah, Norhashila Hashim, Samsuzana Abd Aziz e Ola Lasekan. "Utilisation of Deep Learning with Multimodal Data Fusion for Determination of Pineapple Quality Using Thermal Imaging". Agronomy 13, n.º 2 (30 de janeiro de 2023): 401. http://dx.doi.org/10.3390/agronomy13020401.
Texto completo da fonteMikhnenko, P. A. "Analysis of Multimodal Data in Project Management: Prospects for Using Machine Learning". Management Sciences 13, n.º 4 (3 de fevereiro de 2024): 71–89. http://dx.doi.org/10.26794/2304-022x-2023-13-4-71-89.
Texto completo da fonteYu, Ping, Hongwei Zhao, Kun Yang, Hanlin Chen, Xiaozhong Geng, Ming Hu e Hui Yan. "Blockchain-Enabled Joint Resource Allocation for Virtualized Video Service Functions". Security and Communication Networks 2022 (16 de maio de 2022): 1–16. http://dx.doi.org/10.1155/2022/4349097.
Texto completo da fonteNie, Wei-Zhi, Wen-Juan Peng, Xiang-yu Wang, Yi-liang Zhao e Yu-Ting Su. "Multimedia venue semantic modeling based on multimodal data". Journal of Visual Communication and Image Representation 48 (outubro de 2017): 375–85. http://dx.doi.org/10.1016/j.jvcir.2016.11.015.
Texto completo da fonteHaleem, Muhammad Salman, Audrey Ekuban, Alessio Antonini, Silvio Pagliara, Leandro Pecchia e Carlo Allocca. "Deep-Learning-Driven Techniques for Real-Time Multimodal Health and Physical Data Synthesis". Electronics 12, n.º 9 (25 de abril de 2023): 1989. http://dx.doi.org/10.3390/electronics12091989.
Texto completo da fonteZhao, Jian, Wenhua Dong, Lijuan Shi, Wenqian Qiang, Zhejun Kuang, Dawei Xu e Tianbo An. "Multimodal Feature Fusion Method for Unbalanced Sample Data in Social Network Public Opinion". Sensors 22, n.º 15 (25 de julho de 2022): 5528. http://dx.doi.org/10.3390/s22155528.
Texto completo da fonteZhang, Yingjie. "The current status and prospects of transformer in multimodality". Applied and Computational Engineering 11, n.º 1 (25 de setembro de 2023): 224–30. http://dx.doi.org/10.54254/2755-2721/11/20230240.
Texto completo da fonteJeong, Dayoung, e Kyungsik Han. "PRECYSE: Predicting Cybersickness using Transformer for Multimodal Time-Series Sensor Data". Proceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous Technologies 8, n.º 2 (13 de maio de 2024): 1–24. http://dx.doi.org/10.1145/3659594.
Texto completo da fonteCui, Hang, Liang Hu e Ling Chi. "Advances in Computer-Aided Medical Image Processing". Applied Sciences 13, n.º 12 (13 de junho de 2023): 7079. http://dx.doi.org/10.3390/app13127079.
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