Deep learning models for cloud, edge, fog, and IoT computing paradigms: Survey, recent advances, and future directions

Performance evaluation metrics for cloud, fog and edge computing: A review, taxonomy, benchmarks and standards for future research

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Recent Advances on IoT-Assisted Wearable Sensor Systems for Healthcare Monitoring

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The Extended Cloud: Review and Analysis of Mobile Edge Computing and Fog From a Security and Resilience Perspective

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Fog Computing: Towards Minimizing Delay in the Internet of Things

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Machine learning and data analytics for the IoT

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Hybrid Intelligent Systems

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The Security of Big Data in Fog-Enabled IoT Applications Including Blockchain: A Survey

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Security, Privacy, and Fairness in Fog-Based Vehicular Crowdsensing

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DeepCare: A Deep Dynamic Memory Model for Predictive Medicine

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Text classification based on deep belief network and softmax regression

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5G-Smart Diabetes: Toward Personalized Diabetes Diagnosis with Healthcare Big Data Clouds

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$Deep-Full-Range$ : A Deep Learning Based Network Encrypted Traffic Classification and Intrusion Detection Framework

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Intrusion detection using deep belief networks

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Fog Computing Architecture, Evaluation, and Future Research Directions

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Towards a Better Understanding of Transfer Learning for Medical Imaging: A Case Study

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A cybersecurity framework to identify malicious edge device in fog computing and cloud-of-things environments

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Fog Computing: Mitigating Insider Data Theft Attacks in the Cloud

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CRUSH: Controlled, Scalable, Decentralized Placement of Replicated Data

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Cognitive Computing: Architecture, Technologies and Intelligent Applications

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From Cloud Down to Things: An Overview of Machine Learning in Internet of Things

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Fog computing: from architecture to edge computing and big data processing

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Deep convolutional neural networks to predict cardiovascular risk from computed tomography

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Content-Based Video Recommendation System Based on Stylistic Visual Features

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Toward Computation Offloading in Edge Computing: A Survey

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Serverless Edge Computing: Vision and Challenges

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Batch normalized recurrent neural networks

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Internet of Things: A Comprehensive Review of Enabling Technologies, Architecture, and Challenges

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Internet of Things: Principles and Paradigms

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Data storage auditing service in cloud computing: challenges, methods and opportunities

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Generic Black-Box End-to-End Attack Against State of the Art API Call Based Malware Classifiers

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Anomaly Detection with Generative Adversarial Networks for Multivariate Time SeriesPreprint

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A deep auto-encoder based approach for intrusion detection system

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A Hybrid Malicious Code Detection Method based on Deep Learning

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Three Mechanisms of Weight Decay RegularizationPreprint

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Policy-driven security management for fog computing: Preliminary framework and a case study

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Consistency of Support Vector Machines and Other Regularized Kernel Classifiers

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Drug-drug interaction extraction from biomedical texts using long short-term memory network

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Smart Home Based on WiFi Sensing: A Survey

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A Framework of Fog Computing: Architecture, Challenges, and Optimization

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Overcoming Catastrophic Forgetting With Unlabeled Data in the Wild

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Mobile Edge Cloud System: Architectures, Challenges, and Approaches

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Machine Learning for Cognitive Network Management

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Security and Privacy Preservation Scheme of Face Identification and Resolution Framework Using Fog Computing in Internet of Things

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A Review of Fog Computing and Machine Learning: Concepts, Applications, Challenges, and Open Issues

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Promises and Challenges of Big Data Computing in Health Sciences

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Green Resource Allocation Based on Deep Reinforcement Learning in Content-Centric IoT

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Artificial Intelligence in the Rising Wave of Deep Learning: The Historical Path and Future Outlook [Perspectives]

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Which Neural Net Architectures Give Rise To Exploding and Vanishing Gradients?Preprint

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The temporal paradox of Hebbian learning and homeostatic plasticity

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Reliability in the utility computing era: Towards reliable Fog computing

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Distributed Geometric Fuzzy Multiagent Urban Traffic Signal Control

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I'm home: Defining and evaluating a gesture set for smart-home control

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Semantics-Preserving Bag-of-Words Models and Applications

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Resource Provisioning for IoT Services in the Fog

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Game Theory for Multi-Access Edge Computing: Survey, Use Cases, and Future Trends

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Deep learning for small and big data in psychiatry

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Fog Vehicular Computing: Augmentation of Fog Computing Using Vehicular Cloud Computing

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LSTM for Anomaly-Based Network Intrusion Detection

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Vanishing Gradient Mitigation with Deep Learning Neural Network Optimization

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Distilling the Knowledge From Handcrafted Features for Human Activity Recognition

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The fog cloud of things: A survey on concepts, architecture, standards, tools, and applications

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Edge Computing—An Emerging Computing Model for the Internet of Everything Era

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Fog computing: a taxonomy, systematic review, current trends and research challenges

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Smart Farming Becomes Even Smarter With Deep Learning—A Bibliographical Analysis

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A Review of Internet of Things Technologies for Ambient Assisted Living Environments

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Octopus: An Edge-Fog Mutual Authentication Scheme

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SPHA: Smart Personal Health Advisor Based on Deep Analytics

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Born to learn: The inspiration, progress, and future of evolved plastic artificial neural networks

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Optimal Decision Making for Big Data Processing at Edge-Cloud Environment: An SDN Perspective

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Secure Quantum Steganography Protocol for Fog Cloud Internet of Things

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Identifying child abuse through text mining and machine learning

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Understanding Edge Computing: Engineering Evolution With Artificial Intelligence

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An edge-based platform for dynamic Smart City applications

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A Survey on Energy Conserving Mechanisms for the Internet of Things: Wireless Networking Aspects

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Accelerating Deep Convolutional Networks using low-precision and sparsity

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Ciphertext-policy attribute-based encryption against key-delegation abuse in fog computing

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Data Security and Privacy in Fog Computing

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Label-less Learning for Traffic Control in an Edge Network

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Group Equivariant Capsule NetworksPreprint

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A Machine Learning Decision-Support System Improves the Internet of Things’ Smart Meter Operations

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