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ORCIDFuture Generation Computer Systems, Volume 177
Volume 177, 2026
- Jichao Wang, Xue Li, Puming Wang
, Xin Jin, Shaowen Yao, Shengfa Miao:
CS-DRL: A soft policy update approach for wireless bandwidth allocation using deep reinforcement learning. 108215 - Andrea Giulianelli, Samuele Burattini, Andrei Ciortea, Alessandro Ricci:
Hypermedia-based digital twin ecosystems: A proposal for digital twin interoperability. 108219 - Philip Salzmann, Fabian Knorr, Peter Thoman, Philipp Gschwandtner, Thomas Fahringer:
Bridging usability and performance: High-level abstractions for advanced accelerator cluster programming. 108222 - Kyeongmin Kim, Younghyun Kim, Minseok Song:
Energy-conscious bitrate selection and budget allocation for live video transcoding systems using deep reinforcement learning. 108223 - Stanislaw Baranski, Julian Szymanski:
Federated distributed key generation. 108226 - Pengchen Liang, Jianguo Chen, Yan Wu, Renkai Wu, Zhuangzhuang Chen, Bin Pu, Qing Chang, Guo Ran:
A multilevel alignment and cross-fusion knowledge distillation framework for vision transformer-based medical image segmentation. 108228 - Héctor Martínez, Adrián Castelló, Francisco D. Igual, Enrique S. Quintana-Ortí:
The cambrian explosion of mixed-precision matrix multiplication for quantized deep learning inference. 108231 - Álvaro Ruiz-Ródenas, Jaime Pujante Sáez, Daniel García-Algora, Mario Rodríguez Béjar, Jorge Blasco, José Luis Hernández-Ramos:
SynthCTI: LLM-driven synthetic CTI generation to enhance MITRE technique mapping. 108232 - Martin Beseda, Vittorio Cortellessa, Daniele Di Pompeo, Luca Traini, Michele Tucci:
A kernel-based approach for accurate steady-state detection in performance time series. 108233 - Sabeur Lajili, Zaki Brahmi, Mohamed Nazih Omri, Rocío Pérez de Prado:
Federated reinforcement learning-based adaptive stream applications scheduling in edge and cloud computing. 108235 - Donghong Xu, Bin Li:
PF-MPPO: Task-dependent workflow scheduling method based on deep reinforcement learning in dynamic heterogeneous cloud environments. 108236 - Marcin Lawenda, Lukasz Szustak, László Környei, Flavio Cesar Cunha Galeazzo, Pawel Bratek:
Evaluating AMD EPYC CPU architectures on CFD applications. 108237 - Fengqin Ping, Xiaodong Fu, Shihai Zhao, Li Liu, Juncheng Pu, Jiaman Ding:
FedBM: Balancing models for personalized federated learning. 108238 - Mirko Polato:
Fluke: Federated learning utility framework for experimentation and research. 108241 - Adriano Marques Garcia, Giulio Malenza, Robert Birke, Marco Aldinucci:
Inference performance of large language models on a 64-core RISC-V CPU with silicon-enabled vectors. 108242 - Riccardo Ceccaroni, Lorenzo Di Rocco, Umberto Ferraro Petrillo, Pierpaolo Brutti:
A scalable distributed workflow for accelerating long reads self-correction. 108244 - Eugenio Cesario, Paolo Lindia, Federica Lobello, Andrea Vinci, Santina Capalbo:
Enhancing energy efficiency in cloud computing through regression models: A data-driven approach with experimental validation. 108245 - Lang Fan, Zhihao Zeng, Xiaoning Zhang, Mingjun Duan, Keshav Sood:
Joint client selection and epoch configuration for heterogeneity-aware federated learning in resource-constrained systems. 108249 - Yenan Yi, Yabo Jiang:
DynFed: Dynamic test-time adaptation for federated learning with adaptive rate networks. 108251 - Aulia Arif Wardana, Grzegorz Kolaczek, Arkadiusz Warzynski, Parman Sukarno, Adiwijaya:
SNI-CIDS: Collaborative intrusion detection using modified ensemble stacking deep neural networks for new network integration in heterogeneous networks. 108252 - Chia-Cheng Hu, Jiao-Yan Zeng:
Dynamic pricing and resource expansion for ITS tasks in cloud RANs: a price-compensation charging model. 108259
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