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A Review on Deep Learning Techniques for IoT Data
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2 of the 139 references listed on this page are in the Retraction Watch database as retracted (export 2026-11-11): 10.1155/2022/5211949 (notice 2023-10-11), 10.3389/fpubh.2022.855254 (notice 2025-10-23).
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What this work says
Outgoing claims: the papers this work cites, builds on, or argues with.
inferredcites →https://doi.org/10.1109/atnac.2018.8615294openalex-snapshotA Deep Learning Approach for Intrusion Detection in Internet of Things using Bi-Directional Long Short-Term Memory Recurrent Neural Network
inferredcites →https://doi.org/10.1109/cvprw.2017.60openalex-snapshotSqueezeDet: Unified, Small, Low Power Fully Convolutional Neural Networks for Real-Time Object Detection for Autonomous Driving
inferredcites →https://doi.org/10.1109/iswc.2009.14openalex-snapshotPotentials of Enhanced Context Awareness in Wearable Assistants for Parkinson's Disease Patients with the Freezing of Gait Syndrome
inferredcites →https://doi.org/10.1109/mce.2016.2614422openalex-snapshotA Multitask Grocery Assist System for the Visually Impaired: Smart glasses, gloves, and shopping carts provide auditory and tactile feedback
inferredcites →https://doi.org/10.1109/tii.2021.3072045openalex-snapshotLightweight Computational Intelligence for IoT Health Monitoring of Off-Road Vehicles: Enhanced Selection Log-Scaled Mutation GA Structured ANN
inferredcites →https://doi.org/10.1155/2021/7517313openalex-snapshotAn Efficient Classification of Neonates Cry Using Extreme Gradient Boosting-Assisted Grouped-Support-Vector Network
inferredcites →https://doi.org/10.3390/s17091967openalex-snapshotConditional Variational Autoencoder for Prediction and Feature Recovery Applied to Intrusion Detection in IoT
What points at this work
Incoming claims: where this work appears in other papers’ reference lists and arguments.
inferred← citeshttps://doi.org/10.1007/s00607-024-01269-yopenalex-snapshotMatyas–Meyer Oseas based device profiling for anomaly detection via deep reinforcement learning (MMODPAD-DRL) in zero trust security network
inferred← citeshttps://doi.org/10.1007/s10115-024-02146-yopenalex-snapshotAETC: an automated pest detection and classification model using optimal integration of Yolo + SSD and adaptive ensemble transfer CNN with IoT-assisted pest images
inferred← citeshttps://doi.org/10.1007/s43926-025-00092-xopenalex-snapshotThe role of IoT and XAI convergence in the prediction, explanation, and decision of customer perceived value (CPV) in SMEs: a theoretical framework and research proposition perspective
inferred← citeshttps://doi.org/10.1016/j.compeleceng.2024.109435openalex-snapshotPersonalized device authentication scheme using Q-learning-based decision-making with the aid of transfer fuzzy learning for IIoT devices in zero trust network (PDA-QLTFL)
inferred← citeshttps://doi.org/10.1016/j.iot.2023.100682openalex-snapshotA bandwidth control scheme for reducing the negative impact of bottlenecks in IoT environments: Simulation and performance evaluation
inferred← citeshttps://doi.org/10.1109/access.2024.3352281openalex-snapshotAn Effective Classification of DDoS Attacks in a Distributed Network by Adopting Hierarchical Machine Learning and Hyperparameters Optimization Techniques
inferred← citeshttps://doi.org/10.1111/exsy.70044openalex-snapshotFacial Expression Recognition by Multi‐Scale Local Binary Patterns ( MLBP ) and Convolutional Neural Network ( CNN ) Features
inferred← citeshttps://doi.org/10.1155/2022/3951659openalex-snapshot[Retracted] Research on the Optimization of College Teachers’ Flow Management Strategy under the Support of Artificial Intelligence Technology
inferred← citeshttps://doi.org/10.1155/2022/5844846openalex-snapshotAn Unsupervised Deep Learning-Based Model Using Multiomics Data to Predict Prognosis of Patients with Stomach Adenocarcinoma
inferred← citeshttps://doi.org/10.1155/2022/8434966openalex-snapshotIOT-Based Medical Informatics Farming System with Predictive Data Analytics Using Supervised Machine Learning Algorithms
inferred← citeshttps://doi.org/10.1155/2022/8903529openalex-snapshot[Retracted] A Typological Examination of Modern Chinese OV Word Order Based on Deep Learning and the Design of Stance Expression Methods
inferred← citeshttps://doi.org/10.1155/2023/4399512openalex-snapshotRecent Advancements in Deep Learning Frameworks for Precision Fish Farming Opportunities, Challenges, and Applications
inferred← citeshttps://doi.org/10.1155/2023/4871277openalex-snapshotDoes Electrode Sensor Positioning over Motor Points Affect Different Portions of Quadriceps Muscle Architecture during Submaximal Evoked Torque?
inferred← citeshttps://doi.org/10.3390/fi15050178openalex-snapshotSurvey of Distributed and Decentralized IoT Securities: Approaches Using Deep Learning and Blockchain Technology
inferred← citeshttps://doi.org/10.3390/info14070388openalex-snapshotA Survey of Internet of Things and Cyber-Physical Systems: Standards, Algorithms, Applications, Security, Challenges, and Future Directions
inferred← citeshttps://doi.org/10.3390/s23010495openalex-snapshotDeep Neural Network for the Detections of Fall and Physical Activities Using Foot Pressures and Inertial Sensing
inferred← citeshttps://doi.org/10.3390/s23208585openalex-snapshotDesign and Experiment of a Portable Near-Infrared Spectroscopy Device for Convenient Prediction of Leaf Chlorophyll Content
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