| nr |
titel |
auteur |
tijdschrift |
jaar |
jaarg. |
afl. |
pagina('s) |
type |
| 1 |
Accelerating LASG/IAP climate system ocean model version 3 for performance portability using Kokkos
|
Wei, Junlin
|
|
|
160 |
C |
p. 901-917
|
artikel
|
| 2 |
ACVPred: Enhanced prediction of anti-coronavirus peptides by transfer learning combined with data augmentation
|
Xu, Yi
|
|
|
160 |
C |
p. 305-315
|
artikel
|
| 3 |
A fast and highly scalable frequent pattern mining algorithm
|
Cheng, Wan-Shu
|
|
|
160 |
C |
p. 854-868
|
artikel
|
| 4 |
A heterogeneous graph neural network with automatic discovery of effective metapaths for drug–target interaction prediction
|
Zhang, Menglong
|
|
|
160 |
C |
p. 283-294
|
artikel
|
| 5 |
A hierarchical attention-based feature selection and fusion method for credit risk assessment
|
Liu, Ximing
|
|
|
160 |
C |
p. 537-546
|
artikel
|
| 6 |
AI-HybridChain: Picturized authentication and DRL based access control method with secure two fold revocation for ensuring cloud computing security
|
Krishnan, Sathish Chander
|
|
|
160 |
C |
p. 389-405
|
artikel
|
| 7 |
An efficient privacy-preserving and verifiable scheme for federated learning
|
Yang, Xue
|
|
|
160 |
C |
p. 238-250
|
artikel
|
| 8 |
An efficient scheduling scheme for intelligent driving tasks in a novel vehicle-edge architecture considering mobility and load balancing
|
Wang, Nuanlai
|
|
|
160 |
C |
p. 630-643
|
artikel
|
| 9 |
An intelligent resource allocation strategy with slicing and auction for private edge cloud systems
|
Peng, Yuhuai
|
|
|
160 |
C |
p. 879-889
|
artikel
|
| 10 |
Anomaly-based error and intrusion detection in tabular data: No DNN outperforms tree-based classifiers
|
Zoppi, Tommaso
|
|
|
160 |
C |
p. 951-965
|
artikel
|
| 11 |
Approx-IMC: A general-purpose approximate digital in-memory computing framework based on STT-MRAM
|
Hajisadeghi, Amir M.
|
|
|
160 |
C |
p. 40-53
|
artikel
|
| 12 |
ARGENT: Multi-task learning model for predicting autism-related genes and drug targets using heterogeneous graph convolutional network
|
Miao, Xinxin
|
|
|
160 |
C |
p. 942-950
|
artikel
|
| 13 |
Assessing and advancing the potential of quantum computing: A NASA case study
|
Rieffel, Eleanor G.
|
|
|
160 |
C |
p. 598-618
|
artikel
|
| 14 |
Automated parallel execution of distributed task graphs with FPGA clusters
|
de Haro Ruiz, Juan Miguel
|
|
|
160 |
C |
p. 808-824
|
artikel
|
| 15 |
Batched sparse and mixed-precision linear algebra interface for efficient use of GPU hardware accelerators in scientific applications
|
Luszczek, Piotr
|
|
|
160 |
C |
p. 359-374
|
artikel
|
| 16 |
Blockchain empowered access control for digital twin system with attribute-based encryption
|
Dai, Yueyue
|
|
|
160 |
C |
p. 564-576
|
artikel
|
| 17 |
CODE: Code once, deploy everywhere serverless functions in federated FaaS
|
Ristov, Sashko
|
|
|
160 |
C |
p. 442-456
|
artikel
|
| 18 |
Concurrent service auto-scaling for Knative resource quota-based serverless system
|
Tran, Minh-Ngoc
|
|
|
160 |
C |
p. 326-339
|
artikel
|
| 19 |
DAPM-CDR: A domain adaptation prompting model for drug response prediction
|
Sun, Youhan
|
|
|
160 |
C |
p. 316-324
|
artikel
|
| 20 |
Decentralized IoT data sharing: A blockchain-based federated learning approach with joint optimizations for efficiency and privacy
|
Cheng, Ziwen
|
|
|
160 |
C |
p. 547-563
|
artikel
|
| 21 |
Developing explainable models for lncRNA-Targeted drug discovery using graph autoencoders
|
Liu, Huiying
|
|
|
160 |
C |
p. 29-39
|
artikel
|
| 22 |
Digital transformation with a lightweight on-premise PaaS
|
Mušić, Din
|
|
|
160 |
C |
p. 619-629
|
artikel
|
| 23 |
Distributed genetic algorithm for application placement in the compute continuum leveraging infrastructure nodes for optimization
|
Guerrero, Carlos
|
|
|
160 |
C |
p. 154-170
|
artikel
|
| 24 |
Dynamic gradient filtering in federated learning with Byzantine failure robustness
|
Colosimo, Francesco
|
|
|
160 |
C |
p. 784-797
|
artikel
|
| 25 |
Editorial Board
|
|
|
|
160 |
C |
p. ii
|
artikel
|
| 26 |
Embedding automated function performance benchmarking, profiling and resource usage categorization in function as a service DevOps pipelines
|
Katevas, Vasileios
|
|
|
160 |
C |
p. 223-237
|
artikel
|
| 27 |
Enabling federated learning across the computing continuum: Systems, challenges and future directions
|
Prigent, Cédric
|
|
|
160 |
C |
p. 767-783
|
artikel
|
| 28 |
Enforcing group fairness in privacy-preserving Federated Learning
|
Chen, Chaomeng
|
|
|
160 |
C |
p. 890-900
|
artikel
|
| 29 |
Enhancing campus OS community engagement through the miniOS pilot class: A nine-year journey
|
Gu, Jianhua
|
|
|
160 |
C |
p. 825-834
|
artikel
|
| 30 |
Equilibrium in the Computing Continuum through Active Inference
|
Sedlak, Boris
|
|
|
160 |
C |
p. 92-108
|
artikel
|
| 31 |
European AI and EO convergence via a novel community-driven framework for data-intensive innovation
|
Troumpoukis, Antonis
|
|
|
160 |
C |
p. 505-521
|
artikel
|
| 32 |
Feature selection using metaheuristics made easy: Open source MAFESE library in Python
|
Van Thieu, Nguyen
|
|
|
160 |
C |
p. 340-358
|
artikel
|
| 33 |
FedRFC: Federated Learning with Recursive Fuzzy Clustering for improved non-IID data training
|
Deng, Yuxiao
|
|
|
160 |
C |
p. 835-843
|
artikel
|
| 34 |
Flimm: Foreground traffic aware data migration manager for distributed storage system
|
Li, Bowen
|
|
|
160 |
C |
p. 140-153
|
artikel
|
| 35 |
FSVNet: Federated Self-driving Vehicle Network based on decomposition global convergence
|
Bonyani, Mahdi
|
|
|
160 |
C |
p. 212-222
|
artikel
|
| 36 |
GANFAT: Robust federated adversarial learning with label distribution skew
|
Luo, Yayu
|
|
|
160 |
C |
p. 711-723
|
artikel
|
| 37 |
Generative data augmentation with differential privacy for non-IID problem in decentralized clinical machine learning
|
He, Tianyu
|
|
|
160 |
C |
p. 171-184
|
artikel
|
| 38 |
GRAAFE: GRaph Anomaly Anticipation Framework for Exascale HPC systems
|
Molan, Martin
|
|
|
160 |
C |
p. 644-653
|
artikel
|
| 39 |
Hack me if you can: Aggregating autoencoders for countering persistent access threats within highly imbalanced data
|
Benabderrahmane, Sidahmed
|
|
|
160 |
C |
p. 926-941
|
artikel
|
| 40 |
HDHRFL: A hierarchical robust federated learning framework for dual-heterogeneous and noisy clients
|
Jiang, Yalan
|
|
|
160 |
C |
p. 185-196
|
artikel
|
| 41 |
HGGN: Prediction of microRNA-Mediated drug sensitivity based on interpretable heterogeneous graph global-attention network
|
Liu, Junliang
|
|
|
160 |
C |
p. 274-282
|
artikel
|
| 42 |
IMC-PnG: Maximizing runtime performance and timing guarantee for imprecise mixed-criticality real-time scheduling
|
Lee, Jaewoo
|
|
|
160 |
C |
p. 406-419
|
artikel
|
| 43 |
Improving Hadoop MapReduce performance on heterogeneous single board computer clusters
|
Lim, Sooyoung
|
|
|
160 |
C |
p. 752-766
|
artikel
|
| 44 |
Intelligent architecture and platforms for private edge cloud systems: A review
|
Xu, Xiyuan
|
|
|
160 |
C |
p. 457-471
|
artikel
|
| 45 |
KRIOTA: A framework for Knowledge-management of dynamic Reference Information and Optimal Task Assignment in hybrid edge–cloud environments to support situation-aware robot-assisted operations
|
Chauhan, Muhammad Aufeef
|
|
|
160 |
C |
p. 489-504
|
artikel
|
| 46 |
Light-HIDRA: Scalable and decentralized resource orchestration in Fog-IoT environments
|
Núñez-Gómez, Carlos
|
|
|
160 |
C |
p. 76-91
|
artikel
|
| 47 |
LLM4VV: Developing LLM-driven testsuite for compiler validation
|
Munley, Christian
|
|
|
160 |
C |
p. 1-13
|
artikel
|
| 48 |
Multi-resource interleaving for task scheduling in cloud-edge system by deep reinforcement learning
|
Pei, Xinglong
|
|
|
160 |
C |
p. 522-536
|
artikel
|
| 49 |
Multi-source data integration for explainable miRNA-driven drug discovery
|
Li, Zhen
|
|
|
160 |
C |
p. 109-119
|
artikel
|
| 50 |
MvG-NRLMF: Multi-view graph neighborhood regularized logistic matrix factorization for identifying drug–target interaction
|
Zhang, Yu
|
|
|
160 |
C |
p. 844-853
|
artikel
|
| 51 |
Online learning and continuous model upgrading with data streams through the Kafka-ML framework
|
Carnero, Alejandro
|
|
|
160 |
C |
p. 251-263
|
artikel
|
| 52 |
ORION: Verification of drone trajectories via remote identification messages
|
Sciancalepore, Savio
|
|
|
160 |
C |
p. 869-878
|
artikel
|
| 53 |
Overhead and Performance of Dynamic Network Slice Allocation for Mobile Users
|
Gonçalves, Diogo M.
|
|
|
160 |
C |
p. 739-751
|
artikel
|
| 54 |
Parallel quantum computing simulations via quantum accelerator platform virtualization
|
Claudino, Daniel
|
|
|
160 |
C |
p. 264-273
|
artikel
|
| 55 |
Performance of algorithms for emerging ion-trap quantum hardware
|
Kurlej, Arthur
|
|
|
160 |
C |
p. 654-665
|
artikel
|
| 56 |
Practical algorithms for weakly flexible job scheduling for smart mold component process
|
Zhou, Xueyi
|
|
|
160 |
C |
p. 197-211
|
artikel
|
| 57 |
Prediction of cancer drug combinations based on multidrug learning and cancer expression information injection
|
Ren, Shujie
|
|
|
160 |
C |
p. 798-807
|
artikel
|
| 58 |
Prediction of drug targets related to HCC metastasis from the perspective of programmed cell death based on transformer
|
Huang, Yaoguo
|
|
|
160 |
C |
p. 918-925
|
artikel
|
| 59 |
Quantum Annealing for Computer Vision minimization problems
|
Heidari, Shahrokh
|
|
|
160 |
C |
p. 54-64
|
artikel
|
| 60 |
Quantum-centric supercomputing for materials science: A perspective on challenges and future directions
|
Alexeev, Yuri
|
|
|
160 |
C |
p. 666-710
|
artikel
|
| 61 |
Quantum-empowered federated learning and 6G wireless networks for IoT security: Concept, challenges and future directions
|
Javeed, Danish
|
|
|
160 |
C |
p. 577-597
|
artikel
|
| 62 |
Rapid screening of multi-point mutations for enzyme thermostability modification by utilizing computational tools
|
Jin, Jia
|
|
|
160 |
C |
p. 724-738
|
artikel
|
| 63 |
Resilience and performance quantification of dynamic reconfiguration
|
Alhozaimy, Sarah
|
|
|
160 |
C |
p. 120-130
|
artikel
|
| 64 |
Retraction Notice to “An Enhanced Consortium Blockchain Diversity Mining Technique for IoT Metadata Aggregation” [Future Generation Computer Systems 152 (2023) 239-253] / 7046
|
Chithaluru, Premkumar
|
|
|
160 |
C |
p. 325
|
artikel
|
| 65 |
Review on Federated Learning for digital transformation in healthcare through big data analytics
|
Babar, Muhammad
|
|
|
160 |
C |
p. 14-28
|
artikel
|
| 66 |
Scalable I/O aggregation for asynchronous multi-level checkpointing
|
Gossman, Mikaila J.
|
|
|
160 |
C |
p. 420-432
|
artikel
|
| 67 |
SolsDB: Solve the Ethereum’s bottleneck caused by storage engine
|
Yang, Cuihua
|
|
|
160 |
C |
p. 295-304
|
artikel
|
| 68 |
TCN-Inception: Temporal Convolutional Network and Inception modules for sensor-based Human Activity Recognition
|
Al-qaness, Mohammed A.A.
|
|
|
160 |
C |
p. 375-388
|
artikel
|
| 69 |
The Renoir Dataflow Platform: Efficient Data Processing without Complexity
|
De Martini, Luca
|
|
|
160 |
C |
p. 472-488
|
artikel
|
| 70 |
The utility of complexity metrics during code reviews for CSE software projects
|
Willenbring, James M.
|
|
|
160 |
C |
p. 65-75
|
artikel
|
| 71 |
Using big data to assess an affective domain for distance education
|
Angskun, Thara
|
|
|
160 |
C |
p. 131-139
|
artikel
|
| 72 |
Web 3.0 security: Backdoor attacks in federated learning-based automatic speaker verification systems in the 6G era
|
Wu, Yi
|
|
|
160 |
C |
p. 433-441
|
artikel
|
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