Suchergebnisse - Recent Advances in Deep Learning for Biomedical Signal Processing

Machine learning methods for bio-medical image and signal processing: Recent advances von Wang, Lipo, Sourina, Olga, Erdt, Marius, Wang, Yaoli, Chang, Qing

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Special issue on deep learning in biomedical signal and medical image processing [1128 T] von Hu, Tao, Liu, Liu, Si, Wen

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Recent Advances in Biomedical Signal Processing von Górriz, Juan Manuel, Lang, Elmar W, Ramírez, Javier

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Recent Advances in Biomedical Signal Processing von Górriz, Juan Manuel, Lang, Elmar W, Ramírez, Javier

“… Biomedical signal processing is a rapidly expanding field with a wide range of applications, from the construction of artificial limbs and aids for disabilities to the development of sophisticated …”
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Deep EEG: Deep learning in biomedical signal processing with EEG applications

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Exploring Cutting-Edge Developments in Deep Learning for Biomedical Signal Processing von Zhu, Yukun, Zhang, Haiyan, Liu, Bing, Dou, Junyan

“… Biomedical signal processing determines patterns of signals and serves as the backbone for reliable applications, medical diagnostics, and research. Deep Learning (DL …”
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A Multi-Resolution Deep Learning Approach for IoT-Integrated Biomedical Signal Processing using CNN-LSTM von Priyadharshini, K., Mathias, Ajisha, Krishnan, R. Santhana, Kanthimathi, N, Francis Raj, J. Relin, Malar, P. Stella Rose

“… To enhance signal quality, the preprocessing stage employs Wavelet Transform (WT) for denoising biomedical signals, mitigating motion artifacts and environmental noise …”
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Deep Learning in Biomedical Image and Signal Processing: A Survey von Omarov, Batyrkhan

“… Deep learning now underpins many state-of-the-art systems for biomedical image and signal processing, enabling automated lesion detection, physiological monitoring, and therapy planning with accuracy …”
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RETRACTED: EEG signal processing by feature extraction and classification based on biomedical deep learning architecture with wireless communication von Sodagudi, Suhasini, Manda, Sridhar, Smitha, Bandi, Chaitanya, N., Ahmed, Mohammed Altaf, Deb, Nabamita

“… This article has been retracted: please see Elsevier Policy on Article Withdrawal (https://www.elsevier.com/locate/withdrawalpolicy). This article has been …”
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Retraction notice to “EEG signal processing by feature extraction and classification based on biomedical deep learning architecture with wireless communication” [Optik 270 (2022) 170037] von Sodagudi, Suhasini, Manda, Sridhar, Smitha, Bandi, Chaitanya, N., Ahmed, Mohammed Altaf, Deb, Nabamita

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Introduction to the special issue on Recent advance in signal processing, biomedical engineering and informatics von Shi, Riyi, Xiang, Yong

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Advances in Deep Learning for Digital Signal Processing in Coherent Optical Modems von Kuschnerov, Maxim, Schaedler, Maximilian, Bluemm, Christian, Calabro, Stefano

“… We analyze the advances of deep learning in optical coherent modems on the physical layer with respect to modulation design, equalization and signal detection and give an outlook on a combined control …”
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Subsurface Exploration: Recent Advances in Geo-Signal Processing, Interpretation, and Learning [From the Guest Editors] von AlRegib, Ghassan, Fomel, Sergey, Lopes, Renato

“… Signal processing, data interpretation, and modeling have been the cornerstones of such innovations …”
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Topological Signal Processing and Learning: Recent Advances and Future Challenges von Isufi, Elvin, Leus, Geert, Beferull-Lozano, Baltasar, Barbarossa, Sergio, Paolo Di Lorenzo

“… Graphs have been the go-to algebraic tool for modeling the structure via nodes and edges capturing their interactions, leading to the establishment of the fields of graph signal processing (GSP …”
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Recent advances in machine learning for signal analysis and processing von Cao, Jiuwen, Kummert, Anton, Lin, Zhiping, Velten, Joerg

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Topological signal processing and learning: Recent advances and future challenges von Isufi, Elvin, Leus, Geert, Beferull-Lozano, Baltasar, Barbarossa, Sergio, Di Lorenzo, Paolo

“… Graphs have been the go-to algebraic tool for modeling the structure via nodes and edges capturing their interactions, leading to the establishment of the fields of graph signal processing (GSP …”
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A Primer on Zeroth-Order Optimization in Signal Processing and Machine Learning: Principals, Recent Advances, and Applications von Liu, Sijia, Chen, Pin-Yu, Kailkhura, Bhavya, Zhang, Gaoyuan, Hero, Alfred O., Varshney, Pramod K.

“… Zeroth-order (ZO) optimization is a subset of gradient-free optimization that emerges in many signal processing and machine learning (ML) applications …”
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Brain Signals Analysis Based Deep Learning Methods: Recent advances in the study of non-invasive brain signals von Essa, Almabrok, Kotte, Hari

“… ), Computed Tomography (CT) and others, which will be discussed briefly in this paper. This paper discusses about the currently emerging techniques such as the usage of different Deep Learning (DL …”
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Introduction to the Special Issue on Recent Advances on Deep Learning for Medical Signal Analysis von Zhang, Yu-Dong, Dong, Zhengchao, Gorriz, Juan Manuel, Cattani, Carlo, Yang, Ming

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A survey on deep learning-based non-invasive brain signals: recent advances and new frontiers von Zhang, Xiang, Yao, Lina, Wang, Xianzhi, Monaghan, Jessica, McAlpine, David, Zhang, Yu

“… The emerging deep learning techniques have improved the study of brain signals significantly in recent years …”
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