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An ensemble learning based hybrid model and framework for air pollution forecasting

Environmental science and pollution research international, 2020-10, Vol.27 (30), p.38155-38168

2020

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Ensemble Multifeatured Deep Learning Models and Applications: A Survey

IEEE access, 2023, Vol.11, p.107194-107217

2023

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SOS-DR: a social warning system for detecting users at high risk of depression

Personal and ubiquitous computing, 2022-06, Vol.26 (3), p.837-848

2022

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Towards Federated Learning and Multi-Access Edge Computing for Air Quality Monitoring: Literature Review and Assessment

Sustainability, 2023-09, Vol.15 (18), p.13951

2023

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Depression assessment using integrated multi-featured EEG bands deep neural network models: Leveraging ensemble learning techniques

Computational and structural biotechnology journal, 2024-12, Vol.23, p.1450-1468

2024

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Systematical Approach for Detecting the Intention and Intensity of Feelings on Social Network

IEEE journal of biomedical and health informatics, 2016-07, Vol.20 (4), p.987-995

2016

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Inference of Mood State Indices by Using a Multimodal High-Level Information Fusion Technique

IEEE access, 2021, Vol.9, p.61256-61268

2021

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CUDT: A CUDA Based Decision Tree Algorithm

TheScientificWorld, 2014-01, Vol.2014 (2014), p.1-12

2014

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An LSTM-based aggregated model for air pollution forecasting

Atmospheric pollution research, 2020-08, Vol.11 (8), p.1451-1463

2020

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The Process and Platform for Predicting PM2.5 Inhalation and Retention during Exercise

Processes, 2021-11, Vol.9 (11), p.2026

2021

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An agent‐based workflow scheduling mechanism with deadline constraint on hybrid cloud environment

International journal of communication systems, 2018-01, Vol.31 (1), p.n/a

2018

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Spatiotemporal Data Analytics and Modeling: Techniques and Applications

1, 2024

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Ensemble multifeatured deep learning models for air quality forecasting

Atmospheric pollution research, 2021-05, Vol.12 (5), p.101045, Article 101045

2021

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Control point locating scheme of street light network in urban environment

International journal of distributed sensor networks, 2017-03, Vol.13 (3), p.155014771769962

2017

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Supervised and Unsupervised Learning by Using Petri Nets

IEEE transactions on systems, man and cybernetics. Part A, Systems and humans, 2010-03, Vol.40 (2), p.363-375

2010

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Hybrid knowledge fusion and inference on cloud environment

Future generation computer systems, 2018-10, Vol.87, p.568-579

2018

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Adaptive scheduling for parallel tasks with QoS satisfaction for hybrid cloud environments

The Journal of supercomputing, 2013-11, Vol.66 (2), p.783-811

2013

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VM instance selection for deadline constraint job on agent-based interconnected cloud

Future generation computer systems, 2018-10, Vol.87, p.470-487

2018

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Mobile cloud-based depression diagnosis using an ontology and a Bayesian network

Future generation computer systems, 2015-02, Vol.43-44, p.87-98

2015

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Mental Disorder Detection and Measurement Using Latent Dirichlet Allocation and SentiWordNet

2015 IEEE International Conference on Systems, Man, and Cybernetics, 2015, p.1215-1220

2015

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A relaxable service selection algorithm for QoS-based web service composition

Information and software technology, 2011-12, Vol.53 (12), p.1370-1381

2011

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Depression Diagnosis Based on Ontologies and Bayesian Networks

2013 IEEE International Conference on Systems, Man, and Cybernetics, 2013, p.3452-3457

2013

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A parallel Bees Algorithm implementation on GPU

Journal of systems architecture, 2014-03, Vol.60 (3), p.271-279

2014

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A mental disorder early warning approach by observing depression symptom in social diary

2014 IEEE International Conference on Systems, Man, and Cybernetics (SMC), 2014, p.2060-2065

2014

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Cost Evaluation on Building and Operating Cloud Platform

International journal of grid and high performance computing, 2013-04, Vol.5 (2), p.43-53

2013

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An ensemble learning based hybrid model and framework for air pollution forecasting

Ensemble Multifeatured Deep Learning Models and Applications: A Survey

SOS-DR: a social warning system for detecting users at high risk of depression

Towards Federated Learning and Multi-Access Edge Computing for Air Quality Monitoring: Literature Review and Assessment

Depression assessment using integrated multi-featured EEG bands deep neural network models: Leveraging ensemble learning techniques

Systematical Approach for Detecting the Intention and Intensity of Feelings on Social Network

Inference of Mood State Indices by Using a Multimodal High-Level Information Fusion Technique

CUDT: A CUDA Based Decision Tree Algorithm

An LSTM-based aggregated model for air pollution forecasting

The Process and Platform for Predicting PM2.5 Inhalation and Retention during Exercise

An agent‐based workflow scheduling mechanism with deadline constraint on hybrid cloud environment

Spatiotemporal Data Analytics and Modeling: Techniques and Applications

Ensemble multifeatured deep learning models for air quality forecasting

Control point locating scheme of street light network in urban environment

Supervised and Unsupervised Learning by Using Petri Nets

Hybrid knowledge fusion and inference on cloud environment

Adaptive scheduling for parallel tasks with QoS satisfaction for hybrid cloud environments

VM instance selection for deadline constraint job on agent-based interconnected cloud

Mobile cloud-based depression diagnosis using an ontology and a Bayesian network

Mental Disorder Detection and Measurement Using Latent Dirichlet Allocation and SentiWordNet

A relaxable service selection algorithm for QoS-based web service composition

Depression Diagnosis Based on Ontologies and Bayesian Networks

A parallel Bees Algorithm implementation on GPU

A mental disorder early warning approach by observing depression symptom in social diary

Cost Evaluation on Building and Operating Cloud Platform

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