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Deep learning applications in the Internet of Things: a review, tools, and future directions
The emergence of the Internet of Things (IoT) has enabled the proliferation of interconnected devices and sensors, generating vast amounts of often...
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IoT Network Used in Fog and Cloud Computing
The ever-changing rapid paradigm shift from one technology to another has led to extensive research in interdisciplinary fields. The different... -
Adaptive mobile cloud computing on college physical training education based on virtual reality
Mobile Cloud Computing (MCC) allows the e-learning platform to provide teaching materials, exchange knowledge and share learning experiences. The MCC...
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Machine learning-based centralized link coding attack detection in software-defined network
High-level network management is achieved by using a software-defined network (SDN). The SDN clearly differentiates the data plane using effective...
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IoB-Based Intelligent Healthcare System for Disease Diagnosis in Humans
Internet of Behavior (IoB) refers to the use of Internet of Things (IoT) devices to track data, monitor, and influence human behavior. The increasing... -
Sybil attack detection and secure data transmission in VANET using CMEHA-DNN and MD5-ECC
Vehicular ad-hoc networks (VANET) technology, which is an open-access network, renders a quick, simple to deploy, and cheap solution for intelligent...
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Survey on Mobile Edge-Cloud Computing: A Taxonomy on Computation offloading Approaches
With the technological evolution of Internet of Things (IoT) devices and wireless communications, a wide variety of new complex mobile applications... -
MRI-CropNet for Automated Crop** of Prostate Cancer in Magnetic Resonance Imaging
Auto-crop** of the prostate is one f the most significant tasks to detect the desired Region of Interest (ROI) and reduce the image size for...
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Deep Monarch Butterfly Optimization-Based Attack Detection for Securing Virtualized Infrastructures of Cloud
Due to the tremendous advancements in technology and development in cloud computing, it has become more common for businesses to implement... -
Transfer and online learning for IP maliciousness prediction in a concept drift scenario
Determining the maliciousness of a cybersecurity incident is essential to establish effective measures against it. To process large volumes of data...
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A Comprehensive Review of IoT-Based IDS Using Intelligence Technique
The Internet of Things (IoT) is a collection of connected computing devices that includes several of our everyday gadgets which allow data to be... -
A Comprehensive Analysis of Novel Intrusion Detection Systems for Internet of Things Networks
In recent years, the Internet of Things (IoT) paradigm has shown massive embracing by various industries notably the medical sector, vehicle... -
Role of Internet of Things (IoT) in Preventing and Controlling Disease Outbreak: A Snapshot of Existing Scenario
The Internet of Things (IoT) has the potential in preventing the spread of infectious diseases, remote patient monitoring, telemedicine, and the... -
Evaluation of data governance effectiveness in power grid enterprises using deep neural network
In an era of unprecedented technological advancement, the power industry is undergoing a transformative evolution, particularly in intelligent power...
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Middleware Frameworks for Mobile Cloud Computing, Internet of Things and Cloud of Things: A Review
Mobile cloud computing (MCC) is an extension of cloud computing (CC) technologies. It provides seamless access of different cloud services to smart... -
An Efficient Lossless Telemetry Data Compression and Fault Analysis System Using 2SMLZ and CMOW-DLNN
The quantity of Telemetry Data (TD) is rapidly augmenting because of a large extent of involved parameters in addition to the use of higher sampling...
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Comparison of Cloudlet-Based Mobile Cloud Computing Models and the Rise of Cloud Manufacturing
This paper gives a detailed study for the use of cloudlet-based mobile cloud computing model and gives an insight into the advantages associated with... -
The impact of economic and IoT technologies on air pollution: an AI-based simulation equation model using support vector machines
In recent years, rapid technological advancements in artificial intelligence (AI) and the Internet of Things (IoT) have brought significant...
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Edge Computing for Real-Time Internet of Things Applications: Future Internet Revolution
The Internet of Things (IoT) is a concept that permits the integration of all objects into an Internet environment. IoT has spawned numerous...
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A Survey on Detecting Location-Based Faults in Wireless Sensor Networks Using Machine Learning and Deep Learning Techniques
A Wireless Sensor Network is a group of multiple detection stations referred as nodes which performs multiple actions (sensing, communicating and...