old

A High-Reliability Event-Triggered Secondary Control Strategy for Microgrid Considering Time-Varying Delay

A High-Reliability Event-Triggered Secondary Control St...

A High-Reliability Event-Triggered Secondary Control Strategy for Microgrid Cons...

Active LATHE An Active Learning Algorithm for Boosting the Error Exponent for Learning Homogeneous Ising Trees

Active LATHE An Active Learning Algorithm for Boosting ...

Active LATHE An Active Learning Algorithm for Boosting the Error Exponent for Le...

A Holistic Approach on Airfare Price Prediction Using Machine Learning Techniques

A Holistic Approach on Airfare Price Prediction Using M...

A Holistic Approach on Airfare Price Prediction Using Machine Learning Techniques

Activity Based Person Identification Using Multimodal Wearable Sensor Data

Activity Based Person Identification Using Multimodal W...

Activity Based Person Identification Using Multimodal Wearable Sensor Data

A Hybrid Approach With GAN and DP for Privacy Preservation of IIoT Data

A Hybrid Approach With GAN and DP for Privacy Preservat...

A Hybrid Approach With GAN and DP for Privacy Preservation of IIoT Data

Adapting Data Driven Techniques to Improve Surrogate Machine Learning Model Performance

Adapting Data Driven Techniques to Improve Surrogate Ma...

Adapting Data Driven Techniques to Improve Surrogate Machine Learning Model Perf...

A Hybrid Ensemble Learning Model for Short-Term Solar Irradiance Forecasting Using Historical Observations and Sky Images

A Hybrid Ensemble Learning Model for Short-Term Solar I...

A Hybrid Ensemble Learning Model for Short-Term Solar Irradiance Forecasting Usi...

Adaptive Asynchronous Clustering Algorithms for Wireless Mesh Networks

Adaptive Asynchronous Clustering Algorithms for Wireles...

Adaptive Asynchronous Clustering Algorithms for Wireless Mesh Networks

A Hybrid Machine Learning Algorithm for Detection of Simulated Expiratory Markers of Diabetic Patients Based on Gas Sensor Array

A Hybrid Machine Learning Algorithm for Detection of Si...

A Hybrid Machine Learning Algorithm for Detection of Simulated Expiratory Marker...

Adaptive Asynchronous Federated Learning in Resource Constrained Edge Computing

Adaptive Asynchronous Federated Learning in Resource Co...

Adaptive Asynchronous Federated Learning in Resource Constrained Edge Computing

A Hybrid Method of Feature Extraction for Signatures Verification Using CNN and HOG a Multi-Classification Approach

A Hybrid Method of Feature Extraction for Signatures Ve...

A Hybrid Method of Feature Extraction for Signatures Verification Using CNN and ...

Adaptive Cloud Bundle Provisioning and Multi Workflow Scheduling via Coalition Reinforcement Learning

Adaptive Cloud Bundle Provisioning and Multi Workflow S...

Adaptive Cloud Bundle Provisioning and Multi Workflow Scheduling via Coalition R...

A Hybrid Method to Measure Distribution Consistency of Mixed-Attribute Datasets

A Hybrid Method to Measure Distribution Consistency of ...

A Hybrid Method to Measure Distribution Consistency of Mixed-Attribute Datasets

Adaptive Cost Volume Representation for Unsupervised High Resolution Stereo Matching

Adaptive Cost Volume Representation for Unsupervised Hi...

Adaptive Cost Volume Representation for Unsupervised High Resolution Stereo Matc...

A Joint Learning and Game-Theoretic Approach to Multi-Dimensional Resource Management in Fog Radio Access Networks

A Joint Learning and Game-Theoretic Approach to Multi-D...

A Joint Learning and Game-Theoretic Approach to Multi-Dimensional Resource Manag...

Adaptive Fuzzy Q Learning Control Design and Application to Grid Tied Nine Level Packed E Cell (PEC9) Inverter

Adaptive Fuzzy Q Learning Control Design and Applicatio...

Adaptive Fuzzy Q Learning Control Design and Application to Grid Tied Nine Level...