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Fake News Detection Using Machine Learning Ensemble Methods

Complexity (New York, N.Y.), 2020, Vol.2020 (2020), p.1-11

2020

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Reversible data hiding techniques with high message embedding capacity in images

PloS one, 2020-05, Vol.15 (5), p.e0231602-e0231602

2020

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Optimal policy learning for COVID-19 prevention using reinforcement learning

Journal of information science, 2022-06, Vol.48 (3), p.336-348

2022

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An adaptable and personalized framework for top-N course recommendations in online learning

Scientific reports, 2024-05, Vol.14 (1), p.10382-14, Article 10382

2024

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Intrusion Detection System to Advance Internet of Things Infrastructure-Based Deep Learning Algorithms

Complexity (New York, N.Y.), 2021, Vol.2021 (1)

2021

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Smart E-Learning Framework For Personalized Adaptive Learning and Sequential Path Recommendations Using Reinforcement Learning

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

2023

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Fake Detect: A Deep Learning Ensemble Model for Fake News Detection

Complexity (New York, N.Y.), 2021, Vol.2021 (1)

2021

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Optimizing Pretrained Convolutional Neural Networks for Tomato Leaf Disease Detection

Complexity (New York, N.Y.), 2020, Vol.2020 (2020), p.1-6

2020

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PeachNet: Peach Diseases Detection for Automatic Harvesting

Computers, materials & continua, 2021, Vol.67 (2), p.1665-1677

2021

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Utilizing grid search cross-validation with adaptive boosting for augmenting performance of machine learning models

PeerJ. Computer science, 2022-02, Vol.8, p.e803-e803, Article e803

2022

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Arabic Fake News Detection: Comparative Study of Neural Networks and Transformer-Based Approaches

Complexity (New York, N.Y.), 2021, Vol.2021 (1)

2021

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Prediction of Future Terrorist Activities Using Deep Neural Networks

Complexity (New York, N.Y.), 2020, Vol.2020 (2020), p.1-16

2020

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Automatic Surveillance of Pandemics Using Big Data and Text Mining

Computers, materials & continua, 2021-01, Vol.68 (1), p.303-317

2021

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Recurrent Neural Networks With TF-IDF Embedding Technique for Detection and Classification in Tweets of Dengue Disease

IEEE access, 2020, Vol.8, p.131522-131533

2020

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Acute Myeloid Leukemia (AML) Detection Using AlexNet Model

Complexity (New York, N.Y.), 2021, Vol.2021 (1)

2021

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Short-Term Traffic Flow Prediction with Weather Conditions: Based on Deep Learning Algorithms and Data Fusion

Complexity (New York, N.Y.), 2021, Vol.2021 (1)

2021

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Deep Learning Algorithms for Detection and Classification of Gastrointestinal Diseases

Complexity (New York, N.Y.), 2021, Vol.2021 (1)

2021

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Convolutional Neural Network Based Vehicle Classification in Adverse Illuminous Conditions for Intelligent Transportation Systems

Complexity (New York, N.Y.), 2021, Vol.2021 (1)

2021

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Machine Learning Approach for COVID-19 Detection on Twitter

Computers, materials & continua, 2021-01, Vol.68 (2), p.2231-2247

2021

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Performance Prediction for Higher Education Students Using Deep Learning

Complexity (New York, N.Y.), 2021, Vol.2021 (1)

2021

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Detecting Dengue/Flu Infections Based on Tweets Using LSTM and Word Embedding

IEEE access, 2020, Vol.8, p.189054-189068

2020

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Speech Recognition-Based Automated Visual Acuity Testing with Adaptive Mel Filter Bank

Computers, materials & continua, 2022, Vol.70 (2), p.2991-3004

2022

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Developing a Personalized E-Learning and MOOC Recommender System in IoT-Enabled Smart Education

IEEE access, 2023, Vol.11, p.136437-136455

2023

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Enabling Clustering for Privacy-Aware Data Dissemination Based on Medical Healthcare-IoTs (MH-IoTs) for Wireless Body Area Network

Journal of healthcare engineering, 2020, Vol.2020 (2020), p.1-10

2020

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An Efficient Proxy Blind Signcryption Scheme for IoT

Computers, materials & continua, 2022, Vol.70 (3), p.4293-4306

2022

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Fake News Detection Using Machine Learning Ensemble Methods

Reversible data hiding techniques with high message embedding capacity in images

Optimal policy learning for COVID-19 prevention using reinforcement learning

An adaptable and personalized framework for top-N course recommendations in online learning

Intrusion Detection System to Advance Internet of Things Infrastructure-Based Deep Learning Algorithms

Smart E-Learning Framework For Personalized Adaptive Learning and Sequential Path Recommendations Using Reinforcement Learning

Fake Detect: A Deep Learning Ensemble Model for Fake News Detection

Optimizing Pretrained Convolutional Neural Networks for Tomato Leaf Disease Detection

PeachNet: Peach Diseases Detection for Automatic Harvesting

Utilizing grid search cross-validation with adaptive boosting for augmenting performance of machine learning models

Arabic Fake News Detection: Comparative Study of Neural Networks and Transformer-Based Approaches

Prediction of Future Terrorist Activities Using Deep Neural Networks

Automatic Surveillance of Pandemics Using Big Data and Text Mining

Recurrent Neural Networks With TF-IDF Embedding Technique for Detection and Classification in Tweets of Dengue Disease

Acute Myeloid Leukemia (AML) Detection Using AlexNet Model

Short-Term Traffic Flow Prediction with Weather Conditions: Based on Deep Learning Algorithms and Data Fusion

Deep Learning Algorithms for Detection and Classification of Gastrointestinal Diseases

Convolutional Neural Network Based Vehicle Classification in Adverse Illuminous Conditions for Intelligent Transportation Systems

Machine Learning Approach for COVID-19 Detection on Twitter

Performance Prediction for Higher Education Students Using Deep Learning

Detecting Dengue/Flu Infections Based on Tweets Using LSTM and Word Embedding

Speech Recognition-Based Automated Visual Acuity Testing with Adaptive Mel Filter Bank

Developing a Personalized E-Learning and MOOC Recommender System in IoT-Enabled Smart Education

Enabling Clustering for Privacy-Aware Data Dissemination Based on Medical Healthcare-IoTs (MH-IoTs) for Wireless Body Area Network

An Efficient Proxy Blind Signcryption Scheme for IoT

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