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High accurate and explainable multi-pill detection framework with graph neural network-assisted multimodal data fusion

PloS one, 2023-09, Vol.18 (9), p.e0291865-e0291865

2023

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Zero-Shot Pill-Prescription Matching With Graph Convolutional Network and Contrastive Learning

IEEE access, 2024, Vol.12, p.55889-55904

2024

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FedDCT: Federated Learning of Large Convolutional Neural Networks on Resource-Constrained Devices Using Divide and Collaborative Training

IEEE eTransactions on network and service management, 2024-02, Vol.21 (1), p.418-436

2024

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QIH: An Efficient Q-Learning Inspired Hole-Bypassing Routing Protocol for WSNs

IEEE access, 2021, Vol.9, p.123414-123429

2021

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A Path-Length Efficient, Low-Overhead, Load-Balanced Routing Protocol for Maximum Network Lifetime in Wireless Sensor Networks with Holes

Sensors (Basel, Switzerland), 2020-04, Vol.20 (9), p.2506

2020

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GAMMA: A universal model for calibrating sensory data of multiple low-cost air monitoring devices

Engineering applications of artificial intelligence, 2024-02, Vol.128, p.107591, Article 107591

2024

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Higher-order knowledge-enhanced recommendation with heterogeneous hypergraph multi-attention

Information sciences, 2024-10, Vol.680, p.121165, Article 121165

2024

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Poisoning GNN-based Recommender Systems with Generative Surrogate-based Attacks

ACM transactions on information systems, 2023-02, Vol.41 (3), p.1-24, Article 58

2023

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Distributed hole-bypassing protocol in WSNs with constant stretch and load balancing

Computer networks (Amsterdam, Netherlands : 1999), 2017-12, Vol.129, p.232-250

2017

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Improving algal bloom detection using spectroscopic analysis and machine learning: A case study in a large artificial reservoir, South Korea

The Science of the total environment, 2023-11, Vol.901, p.166467-166467, Article 166467

2023

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Empowering 5G Mobile Devices With Network Softwarization

IEEE eTransactions on network and service management, 2021-09, Vol.18 (3), p.2492-2501

2021

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TELPAC: A time and energy efficient protocol for locating and patching coverage holes in WSNs

Journal of network and computer applications, 2019-12, Vol.147, p.102439, Article 102439

2019

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On the Global Maximization of Network Lifetime in Wireless Rechargeable Sensor Networks

ACM transactions on sensor networks, 2022-11, Vol.18 (4), p.1-29, Article 71

2022

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PM2.5 Prediction Using Genetic Algorithm-Based Feature Selection and Encoder-Decoder Model

IEEE access, 2021, Vol.9, p.57338-57350

2021

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Fuzzy Q-Learning-Based Opportunistic Communication for MEC-Enhanced Vehicular Crowdsensing

IEEE eTransactions on network and service management, 2022-12, Vol.19 (4), p.5021-5033

2022

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Correction to: Energy-efficient routing in the proximity of a complicated hole in wireless sensor networks

Wireless networks, 2021-05, Vol.27 (4), p.3091-3091

2021

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Node placement for connected target coverage in wireless sensor networks with dynamic sinks

Pervasive and mobile computing, 2019-10, Vol.59, p.101070, Article 101070

2019

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An energy efficient and load balanced distributed routing scheme for wireless sensor networks with holes

The Journal of systems and software, 2017-01, Vol.123, p.92-105

2017

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Implementation of P4-Based Schedulers for Multipath Communication

IEEE access, 2022, Vol.10, p.76537-76546

2022

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FedDRL: Deep Reinforcement Learning-based Adaptive Aggregation for Non-IID Data in Federated Learning

Proceedings of the 51st International Conference on Parallel Processing, 2022, p.1-11

2022

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Deep Reinforcement Learning-based Offloading for Latency Minimization in 3-tier V2X Networks

2022 IEEE Wireless Communications and Networking Conference (WCNC), 2022, p.1803-1808

2022

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Exploiting Q-Learning in Extending the Network Lifetime of Wireless Sensor Networks with Holes

2019 IEEE 25th International Conference on Parallel and Distributed Systems (ICPADS), 2019, p.602-609

2019

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MuLeS: A Multi-Client Learning-Based MPQUIC Scheduler

2024 IEEE 21st Consumer Communications & Networking Conference (CCNC), 2024, p.656-661

2024

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GCRINT: Network Traffic Imputation Using Graph Convolutional Recurrent Neural Network

ICC 2021 - IEEE International Conference on Communications, 2021, p.1-6

2021

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FedGrad: Mitigating Backdoor Attacks in Federated Learning Through Local Ultimate Gradients Inspection

2023 International Joint Conference on Neural Networks (IJCNN), 2023, p.01-10

2023

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High accurate and explainable multi-pill detection framework with graph neural network-assisted multimodal data fusion

Zero-Shot Pill-Prescription Matching With Graph Convolutional Network and Contrastive Learning

FedDCT: Federated Learning of Large Convolutional Neural Networks on Resource-Constrained Devices Using Divide and Collaborative Training

QIH: An Efficient Q-Learning Inspired Hole-Bypassing Routing Protocol for WSNs

A Path-Length Efficient, Low-Overhead, Load-Balanced Routing Protocol for Maximum Network Lifetime in Wireless Sensor Networks with Holes

GAMMA: A universal model for calibrating sensory data of multiple low-cost air monitoring devices

Higher-order knowledge-enhanced recommendation with heterogeneous hypergraph multi-attention

Poisoning GNN-based Recommender Systems with Generative Surrogate-based Attacks

Distributed hole-bypassing protocol in WSNs with constant stretch and load balancing

Improving algal bloom detection using spectroscopic analysis and machine learning: A case study in a large artificial reservoir, South Korea

Empowering 5G Mobile Devices With Network Softwarization

TELPAC: A time and energy efficient protocol for locating and patching coverage holes in WSNs

On the Global Maximization of Network Lifetime in Wireless Rechargeable Sensor Networks

PM2.5 Prediction Using Genetic Algorithm-Based Feature Selection and Encoder-Decoder Model

Fuzzy Q-Learning-Based Opportunistic Communication for MEC-Enhanced Vehicular Crowdsensing

Correction to: Energy-efficient routing in the proximity of a complicated hole in wireless sensor networks

Node placement for connected target coverage in wireless sensor networks with dynamic sinks

An energy efficient and load balanced distributed routing scheme for wireless sensor networks with holes

Implementation of P4-Based Schedulers for Multipath Communication

FedDRL: Deep Reinforcement Learning-based Adaptive Aggregation for Non-IID Data in Federated Learning

Deep Reinforcement Learning-based Offloading for Latency Minimization in 3-tier V2X Networks

Exploiting Q-Learning in Extending the Network Lifetime of Wireless Sensor Networks with Holes

MuLeS: A Multi-Client Learning-Based MPQUIC Scheduler

GCRINT: Network Traffic Imputation Using Graph Convolutional Recurrent Neural Network

FedGrad: Mitigating Backdoor Attacks in Federated Learning Through Local Ultimate Gradients Inspection

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