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A Deep Reinforcement Learning Framework Based on an Attention Mechanism and Disjunctive Graph Embedding for the Job-Shop Scheduling Problem., , и . IEEE Trans. Ind. Informatics, 19 (2): 1322-1331 (2023)Biological Activity Prediction of GPCR-targeting Ligands on Heterogeneous FPGA-based Accelerators., , , , , , и . FCCM, стр. 1. IEEE, (2022)Graph-OPU: A Highly Integrated FPGA-Based Overlay Processor for Graph Neural Networks., , , , , и . FPL, стр. 228-234. IEEE, (2023)Design and Evaluation of a VR Therapy for Patients with Mild Cognitive Impairment and Dementia: Perspectives from Patients and Stakeholders., , , , , и . VR Workshops, стр. 597-598. IEEE, (2023)Graph-OPU: An FPGA-Based Overlay Processor for Graph Neural Networks., , , , , , , и . FPGA, стр. 49. ACM, (2023)Implementation of quasi-Newton algorithm on FPGA for IoT endpoint devices., , , , и . Int. J. Secur. Networks, 17 (2): 124-134 (2022)g-BERT: Enabling Green BERT Deployment on FPGA via Hardware-Aware Hybrid Pruning., , , , , , , , и . ICC, стр. 1706-1711. IEEE, (2023)Exploring Designers' Perceptions and Practices of Collaborating with Generative AI as a Co-creative Agent in a Multi-stakeholder Design Process: Take the Domain of Avatar Design as an Example., , , , и . CCHI, стр. 596-613. ACM, (2023)Vina-FPGA: A Hardware-Accelerated Molecular Docking Tool With Fixed-Point Quantization and Low-Level Parallelism., , , , , , и . IEEE Trans. Very Large Scale Integr. Syst., 31 (4): 484-497 (апреля 2023)A survey of field programmable gate array (FPGA)-based graph convolutional neural network accelerators: challenges and opportunities., , , , и . PeerJ Comput. Sci., (2022)