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A Deep-Learned Embedding Technique for Categorical Features Encoding

IEEE access, 2021, Vol.9, p.114381-114391

2021

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TMH: Two-Tower Multi-Head Attention neural network for CTR prediction

PloS one, 2024, Vol.19 (3), p.e0295440-e0295440

2024

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A DRL-Based Task Offloading Scheme for Server Decision-Making in Multi-Access Edge Computing

Electronics (Basel), 2023-09, Vol.12 (18), p.3882

2023

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Network resource optimization with reinforcement learning for low power wide area networks

EURASIP journal on wireless communications and networking, 2020-09, Vol.2020 (1), p.1-20, Article 176

2020

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Enhancing Anomaly Detection in Maritime Operational IoT Time Series Data with Synthetic Outliers

Electronics (Basel), 2024-10, Vol.13 (19), p.3912

2024

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Motor Fault Diagnosis and Detection with Convolutional Autoencoder (CAE) Based on Analysis of Electrical Energy Data

Electronics (Basel), 2024-10, Vol.13 (19), p.3946

2024

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Chip-Level Defect Analysis with Virtual Bad Wafers Based on Huge Big Data Handling for Semiconductor Production

Electronics (Basel), 2024-06, Vol.13 (11), p.2205

2024

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A Dynamic Spatial-Temporal Attention-Based GRU Model With Healthy Features for State-of-Health Estimation of Lithium-Ion Batteries

IEEE access, 2021, Vol.9, p.27374-27388

2021

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Handover Triggering Prediction with the Two-Step XGBOOST Ensemble Algorithm for Conditional Handover in Non-Terrestrial Networks

Electronics (Basel), 2023-08, Vol.12 (16), p.3435

2023

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Enhancing IoT Connectivity and Services for Worldwide Ships through Multi-Region Fog Cloud Architecture Platforms

Electronics (Basel), 2023-10, Vol.12 (20), p.4250

2023

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A Hybrid DenseNet-LSTM Model for Epileptic Seizure Prediction

Applied sciences, 2021-08, Vol.11 (16), p.7661

2021

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An XAI method for convolutional neural networks in self-driving cars

PloS one, 2022-08, Vol.17 (8), p.e0267282

2022

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A LSTM-Hawkes hybrid model for posterior click distribution forecast in the advertising network environment

PloS one, 2020-06, Vol.15 (6), p.e0232887-e0232887

2020

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An Adaptive Masked Attention Mechanism to Act on the Local Text in a Global Context for Aspect-based Sentiment Analysis

IEEE access, 2023-01, Vol.11, p.1-1

2023

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Collision prediction for a low power wide area network using deep learning methods

Journal of Communications and Networks, 2020, 22(3), , pp.205-214

2020

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Enhancing Machine Learning Models Through PCA, SMOTE-ENN, and Stochastic Weighted Averaging

Applied sciences, 2024-11, Vol.14 (21), p.9772

2024

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Deep Learning Methods With the Improved Attention for Explainable Image Recognition

IEEE access, 2024, Vol.12, p.70559-70567

2024

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Attention Map-Guided Visual Explanations for Deep Neural Networks

Applied sciences, 2022-04, Vol.12 (8), p.3846

2022

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Neural Architecture Search Net-Based Feature Extraction With Modular Neural Network for Image Classification of Copper/ Cobalt Raw Minerals

IEEE access, 2022, Vol.10, p.72253-72262

2022

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Automatic Diagnosis of Medical Conditions Using Deep Learning With Symptom2Vec

IEEE access, 2023, Vol.11, p.114432-114442

2023

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OISE: Optimized Input Sampling Explanation with a Saliency Map Based on the Black-Box Model

Applied sciences, 2023-05, Vol.13 (10), p.5886

2023

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A ResNet-LSTM hybrid model for predicting epileptic seizures using a pretrained model with supervised contrastive learning

Scientific reports, 2024-01, Vol.14 (1), p.1319-1319, Article 1319

2024

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Deep learning-based optimal placement of a mobile HAP for common throughput maximization in wireless powered communication networks

EURASIP journal on wireless communications and networking, 2021-10, Vol.2021 (1), p.1-16, Article 181

2021

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Deep Reinforcement Learning-Based Real-Time Joint Optimal Power Split for Battery–Ultracapacitor–Fuel Cell Hybrid Electric Vehicles

Electronics (Basel), 2022-06, Vol.11 (12), p.1850

2022

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A CNN-based automatic vulnerability detection

EURASIP journal on wireless communications and networking, 2023-05, Vol.2023 (1), p.41-13, Article 41

2023

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A Deep-Learned Embedding Technique for Categorical Features Encoding

TMH: Two-Tower Multi-Head Attention neural network for CTR prediction

A DRL-Based Task Offloading Scheme for Server Decision-Making in Multi-Access Edge Computing

Network resource optimization with reinforcement learning for low power wide area networks

Enhancing Anomaly Detection in Maritime Operational IoT Time Series Data with Synthetic Outliers

Motor Fault Diagnosis and Detection with Convolutional Autoencoder (CAE) Based on Analysis of Electrical Energy Data

Chip-Level Defect Analysis with Virtual Bad Wafers Based on Huge Big Data Handling for Semiconductor Production

A Dynamic Spatial-Temporal Attention-Based GRU Model With Healthy Features for State-of-Health Estimation of Lithium-Ion Batteries

Handover Triggering Prediction with the Two-Step XGBOOST Ensemble Algorithm for Conditional Handover in Non-Terrestrial Networks

Enhancing IoT Connectivity and Services for Worldwide Ships through Multi-Region Fog Cloud Architecture Platforms

A Hybrid DenseNet-LSTM Model for Epileptic Seizure Prediction

An XAI method for convolutional neural networks in self-driving cars

A LSTM-Hawkes hybrid model for posterior click distribution forecast in the advertising network environment

An Adaptive Masked Attention Mechanism to Act on the Local Text in a Global Context for Aspect-based Sentiment Analysis

Collision prediction for a low power wide area network using deep learning methods

Enhancing Machine Learning Models Through PCA, SMOTE-ENN, and Stochastic Weighted Averaging

Deep Learning Methods With the Improved Attention for Explainable Image Recognition

Attention Map-Guided Visual Explanations for Deep Neural Networks

Neural Architecture Search Net-Based Feature Extraction With Modular Neural Network for Image Classification of Copper/ Cobalt Raw Minerals

Automatic Diagnosis of Medical Conditions Using Deep Learning With Symptom2Vec

OISE: Optimized Input Sampling Explanation with a Saliency Map Based on the Black-Box Model

A ResNet-LSTM hybrid model for predicting epileptic seizures using a pretrained model with supervised contrastive learning

Deep learning-based optimal placement of a mobile HAP for common throughput maximization in wireless powered communication networks

Deep Reinforcement Learning-Based Real-Time Joint Optimal Power Split for Battery–Ultracapacitor–Fuel Cell Hybrid Electric Vehicles

A CNN-based automatic vulnerability detection

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