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Multi-Agent DDPG-Based Joint Beam Hopping and Resource Allocation for Cognitive GEO-LEO Satellite Networks

Ngo, QT He, Y Jayawickrama, B Dutkiewicz, E

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Voice-Based Assessment of Extrapyramidal Symptoms Using Deep Learning.

Liyanage, EM Lan, K-C Ha, Q Ling, SH

Extrapyramidal symptoms encompass features of Parkinsonism, including bradykinesia, cogwheel rigidity, and resting tremors, which contribute to motor impairments hindering handwriting and speech. I...

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Mitigating Knowledge Discrepancies among Multiple Datasets for Task-agnostic Unified Face Alignment

Xia, J Xu, M Huang, W Zhang, J Zhang, H Xiao, C

Despite the similar structures of human faces, existing face alignment methods cannot learn unified knowledge from multiple datasets with different landmark annotations. The limited training sample...

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Advances in Multibeam Flat GRIN Lens Antennas: A promising 3D-printed design

Ansari, M Song, L Qin, P-Y Smith, SL Guo, YJ

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RIS-UAV Integration for Enhanced Coverage and Energy-Efficient 6G Wireless Networks

Alsenwi, M Abolhasan, M Lipman, J

This paper studies the beamforming and trajectory design in unmanned aerial vehicles (UAV) assisted wireless networks, where a UAV equipped with a reconfigurable intelligent surface (RIS) flies ove...

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Multi-trait genetic analysis identifies novel pleiotropic loci for stroke and hematological traits or risk factors

Jiang, Y Song, Y Li, Y Tong, Y Ding, H Li, L Yang, Z Meng, Z Guo, M Su, SW Chang, X

Accumulating evidence suggests a correlation between stroke and hematological traits along with their associated risk factors, yet the precise shared genetic basis remains elusive. We collected GWA...

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Genetic-evolutionary Graph Nerual Networks: A Paradigm for Improved Graph Representation Learning

Zhang, H Xu, M

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PPVFL-SplitNN: Privacy-Preserving Vertical Federated Learning with Split Neural Networks for Distributed Patient Data

Alrashed, B Nanda, P Dinh, H Aldahiri, A Alhosaini, H Alghamdi, N

Medical data privacy regulations pose significant challenges for sharing raw data between healthcare institutions. These challenges are particularly critical when the data is vertically partitioned...

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Revolutionizing biological digital twins: Integrating internet of bio-nano things, convolutional neural networks, and federated learning.

Jamshidi, MB Hoang, DT Nguyen, DN Niyato, D Warkiani, ME

Digital twins (DTs) are advancing biotechnology by providing digital models for drug discovery, digital health applications, and biological assets, including microorganisms. However, the hypothesis...

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Demonstration Platform to Emulate Cognitive GEO-LEO Dual Satellite System

Weththasinghe, K He, Y Ngo, QT Jayawickrama, B Dutkiewicz, E

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