| nr |
titel |
auteur |
tijdschrift |
jaar |
jaarg. |
afl. |
pagina('s) |
type |
| 1 |
Accelerating Maximal Bicliques Enumeration with GPU on large scale network
|
Wu, Chunqi
|
|
|
161 |
C |
p. 601-613
|
artikel
|
| 2 |
A cross-modal high-resolution image generation approach based on cloud-terminal collaboration for low-altitude intelligent network
|
Jiao, Minghai
|
|
|
161 |
C |
p. 686-700
|
artikel
|
| 3 |
A dynamic multi-objective evolutionary algorithm with variable stepsize and dual prediction strategies
|
Peng, Hu
|
|
|
161 |
C |
p. 390-403
|
artikel
|
| 4 |
Agile Optimization Framework: A framework for tensor operator optimization in neural network
|
Zhou, Mingwei
|
|
|
161 |
C |
p. 432-444
|
artikel
|
| 5 |
An exploration of online-simulation-driven portfolio scheduling in Workflow Management Systems
|
McDonald, Jesse
|
|
|
161 |
C |
p. 345-360
|
artikel
|
| 6 |
An integrated model based on deep learning classifiers and pre-trained transformer for phishing URL detection
|
Do, Nguyet Quang
|
|
|
161 |
C |
p. 269-285
|
artikel
|
| 7 |
A prototype-assisted clustered federated learning for big data security and privacy preservation
|
Jiang, Yalan
|
|
|
161 |
C |
p. 376-389
|
artikel
|
| 8 |
A read-efficient and write-optimized hash table for Intel Optane DC Persistent Memory
|
Li, Zexuan
|
|
|
161 |
C |
p. 49-65
|
artikel
|
| 9 |
A survey on checkpointing strategies: Should we always checkpoint à la Young/Daly?
|
Bautista-Gomez, Leonardo
|
|
|
161 |
C |
p. 315-328
|
artikel
|
| 10 |
A two-stage budget-feasible mechanism for mobile crowdsensing based on maximum user revenue routing
|
Zhang, Jixian
|
|
|
161 |
C |
p. 201-213
|
artikel
|
| 11 |
Benchmarking parallel programming for single-board computers
|
Hoffmann, Renato B.
|
|
|
161 |
C |
p. 119-134
|
artikel
|
| 12 |
ChatOps for microservice systems: A low-code approach using service composition and large language models
|
Wang, Sheng-Kai
|
|
|
161 |
C |
p. 518-530
|
artikel
|
| 13 |
Clusterslice: Slicing resources for zero-touch Kubernetes-based experimentation
|
Mamatas, Lefteris
|
|
|
161 |
C |
p. 1-10
|
artikel
|
| 14 |
CTF-DDI: Constrained tensor factorization for drug–drug interactions prediction
|
Han, Guosheng
|
|
|
161 |
C |
p. 26-34
|
artikel
|
| 15 |
CUPID: An efficient spatio-temporal data engine
|
Wu, Hang
|
|
|
161 |
C |
p. 531-544
|
artikel
|
| 16 |
Deciphering the abundance of immune cells in glomerular endothelium of Alport syndrome kidneys using the deconvolution algorithm CONVdeconv
|
Sun, Yizhou
|
|
|
161 |
C |
p. 496-501
|
artikel
|
| 17 |
DeFuseDTI: Interpretable drug target interaction prediction model with dual-branch encoder and multiview fusion
|
Feng, Bao-Ming
|
|
|
161 |
C |
p. 239-247
|
artikel
|
| 18 |
Digital Twin and federated learning enabled cyberthreat detection system for IoT networks
|
Salim, Mikail Mohammed
|
|
|
161 |
C |
p. 701-713
|
artikel
|
| 19 |
Distributed asynchronous rendezvous planning on the line for multi-agent systems
|
Ozsoyeller, Deniz
|
|
|
161 |
C |
p. 35-48
|
artikel
|
| 20 |
3DSGIMD: An accurate and interpretable molecular property prediction method using 3D spatial graph focusing network and structure-based feature fusion
|
Tian, Yanan
|
|
|
161 |
C |
p. 189-200
|
artikel
|
| 21 |
DTRE: A model for predicting drug-target interactions of endometrial cancer based on heterogeneous graph
|
Li, Meng
|
|
|
161 |
C |
p. 478-486
|
artikel
|
| 22 |
Editorial Board
|
|
|
|
161 |
C |
p. ii
|
artikel
|
| 23 |
Efficient and scalable covariate drift detection in machine learning systems with serverless computing
|
Céspedes Sisniega, Jaime
|
|
|
161 |
C |
p. 174-188
|
artikel
|
| 24 |
Energy-aware virtual machine placement based on a holistic thermal model for cloud data centers
|
Lin, Jianpeng
|
|
|
161 |
C |
p. 302-314
|
artikel
|
| 25 |
Enterprise architecture-based metamodel for machine learning projects and its management
|
Takeuchi, Hironori
|
|
|
161 |
C |
p. 135-145
|
artikel
|
| 26 |
Extreme-scale workflows: A perspective from the JLESC international community
|
Yildiz, Orcun
|
|
|
161 |
C |
p. 502-513
|
artikel
|
| 27 |
Fault-tolerant deep learning inference on CPU-GPU integrated edge devices with TEEs
|
Xu, Hongjian
|
|
|
161 |
C |
p. 404-414
|
artikel
|
| 28 |
FRESH: Fault-tolerant Real-time Scheduler for Heterogeneous multiprocessor platforms
|
Moulik, Sanjay
|
|
|
161 |
C |
p. 214-225
|
artikel
|
| 29 |
Harnessing federated learning for anomaly detection in supercomputer nodes
|
Farooq, Emmen
|
|
|
161 |
C |
p. 673-685
|
artikel
|
| 30 |
Hierarchical sharding blockchain storage solution for edge computing
|
Li, Cong
|
|
|
161 |
C |
p. 162-173
|
artikel
|
| 31 |
Identification and model construction of survival-associated proteins for pancreatic cancer based on deep learning
|
Chen, Ying
|
|
|
161 |
C |
p. 487-495
|
artikel
|
| 32 |
Integrating fully homomorphic encryption to enhance the security of blockchain applications
|
Wu, Xiaohua
|
|
|
161 |
C |
p. 467-477
|
artikel
|
| 33 |
Integrating quantum computing resources into scientific HPC ecosystems
|
Beck, Thomas
|
|
|
161 |
C |
p. 11-25
|
artikel
|
| 34 |
Investigation on cellular LTE C-V2X network serving vehicular data traffic in realistic urban scenarios
|
Mir, Zeeshan Hameed
|
|
|
161 |
C |
p. 66-80
|
artikel
|
| 35 |
IoT-driven blockchain to manage the healthcare supply chain and protect medical records
|
Rizzardi, Alessandra
|
|
|
161 |
C |
p. 415-431
|
artikel
|
| 36 |
MedT2T: An adaptive pointer constrain generating method for a new medical text-to-table task
|
Zhao, Wang
|
|
|
161 |
C |
p. 586-600
|
artikel
|
| 37 |
Minimum-energy virtual machine placement using embedded sensors and machine learning
|
Moocheet, N.
|
|
|
161 |
C |
p. 85-94
|
artikel
|
| 38 |
MURE: Multi-layer real-time livestock management architecture with unmanned aerial vehicles using deep reinforcement learning
|
Tian, Xinyu
|
|
|
161 |
C |
p. 454-466
|
artikel
|
| 39 |
On the choice of physical constraints in artificial neural networks for predicting flow fields
|
Puri, Rishabh
|
|
|
161 |
C |
p. 361-375
|
artikel
|
| 40 |
ORR-CP-ABE: A secure and efficient outsourced attribute-based encryption scheme with decryption results reuse
|
Tao, Yu
|
|
|
161 |
C |
p. 559-571
|
artikel
|
| 41 |
PoAh 2.0: AI-empowered dynamic authentication based adaptive blockchain consensus for IoMT-edge workflow
|
Dutta, Joy
|
|
|
161 |
C |
p. 655-672
|
artikel
|
| 42 |
Portability and scalability evaluation of large-scale statistical modeling and prediction software through HPC-ready containers
|
Abdulah, Sameh
|
|
|
161 |
C |
p. 248-258
|
artikel
|
| 43 |
PowerTrain: Fast, generalizable time and power prediction models to optimize DNN training on accelerated edges
|
S.K., Prashanthi
|
|
|
161 |
C |
p. 329-344
|
artikel
|
| 44 |
Privacy-preserving edge federated learning for intelligent mobile-health systems
|
Aminifar, Amin
|
|
|
161 |
C |
p. 625-637
|
artikel
|
| 45 |
Reciprocal Federated Learning Framework: Balancing incentives for model and data owners
|
Xu, Han
|
|
|
161 |
C |
p. 146-161
|
artikel
|
| 46 |
Revolutionizing machine learning: Blockchain-based crowdsourcing for transparent and fair labeled datasets supply
|
Xu, Haitao
|
|
|
161 |
C |
p. 106-118
|
artikel
|
| 47 |
Scalability through Pulverisation: Declarative deployment reconfiguration at runtime
|
Farabegoli, Nicolas
|
|
|
161 |
C |
p. 545-558
|
artikel
|
| 48 |
Self-adaptive asynchronous federated optimizer with adversarial sharpness-aware minimization
|
Zhang, Xiongtao
|
|
|
161 |
C |
p. 638-654
|
artikel
|
| 49 |
Serverless computing in the cloud-to-edge continuum
|
Puliafito, Carlo
|
|
|
161 |
C |
p. 514-517
|
artikel
|
| 50 |
SHIELD: A Secure Heuristic Integrated Environment for Load Distribution in Rural-AI
|
Kaushal, Ashish
|
|
|
161 |
C |
p. 286-301
|
artikel
|
| 51 |
Special Issue on Digital Twin for Future Networks and Emerging IoT Applications (DT4IoT)
|
Hakiri, Akram
|
|
|
161 |
C |
p. 81-84
|
artikel
|
| 52 |
Speeding up the communications on a cluster using MPI by means of Software Defined Networks
|
Gomariz-Martínez, Pablo
|
|
|
161 |
C |
p. 614-624
|
artikel
|
| 53 |
ST-TrajGAN: A synthetic trajectory generation algorithm for privacy preservation
|
Ma, Xuebin
|
|
|
161 |
C |
p. 226-238
|
artikel
|
| 54 |
TITE: A transformer-based deep reinforcement learning approach for traffic engineering in hybrid SDN with dynamic traffic
|
Lin, Bin
|
|
|
161 |
C |
p. 95-105
|
artikel
|
| 55 |
TransGINmer: Identifying viral sequences from metagenomes with self-attention and Graph Isomorphism Network
|
Wang, Jianan
|
|
|
161 |
C |
p. 445-453
|
artikel
|
| 56 |
TriStack enables accurate identification of antimicrobial and anti-inflammatory peptides by combining machine learning and deep learning approaches
|
Han, Jiyun
|
|
|
161 |
C |
p. 259-268
|
artikel
|
| 57 |
VESBELT: An energy-efficient and low-latency aware task offloading in Maritime Internet-of-Things networks using ensemble neural networks
|
Ghoshal, Sudip Chandra
|
|
|
161 |
C |
p. 572-585
|
artikel
|
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