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Federated learning for digital healthcare: concepts, applications, frameworks, and challenges
Various hospitals have adopted digital technologies in the healthcare sector for various healthcare-related applications. Due to the effect of the...
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Exploiting recurrent graph neural networks for suffix prediction in predictive monitoring
Predictive monitoring is a subfield of process mining that aims to predict how a running case will unfold in the future. One of its main challenges...
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Deep learning-based classification and application test of multiple crop leaf diseases using transfer learning and the attention mechanism
Crop diseases are among the major natural disasters in agricultural production that seriously restrict the growth and development of crops,...
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Optimizing pre-copy live virtual machine migration in cloud computing using machine learning-based prediction model
One of the preconditions for efficient cloud computing services is the continuous availability of services to clients. However, there are various...
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A clarity and fairness aware framework for selecting workers in competitive crowdsourcing tasks
Crowdsourcing is a powerful technique for accomplishing tasks that are difficult for machines but easy for humans. However, ensuring the quality of...
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A new approach for service activation management in fog computing using Cat Swarm Optimization algorithm
Today, with the increasing expansion of IoT devices and the growing number of user requests, processing their demands in computational environments...
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Enhancing computation reuse efficiency in ICN-based edge computing by modifying content store table structure
In edge computing, repetitive computations are a common occurrence. However, the traditional TCP/IP architecture used in edge computing fails to...
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Smart contracts auditing and multi-classification using machine learning algorithms: an efficient vulnerability detection in ethereum blockchain
The adoption of Smart Contracts has revolutionized industries like DeFi and supply chain management, streamlining processes and enhancing...
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Enhancing virtual machine placement efficiency in cloud data centers: a hybrid approach using multi-objective reinforcement learning and clustering strategies
Deploying virtual machines poses a significant challenge for cloud data centers, requiring careful consideration of various objectives such as...
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Modeling end-to-end delays in TSCH wireless sensor networks using queuing theory and combinatorics
Wireless communication offers significant advantages in terms of flexibility, coverage and maintenance compared to wired solutions and is being...
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Packet header-based reweight-long short term memory (Rew-LSTM) method for encrypted network traffic classification
With the development of Internet technology, cyberspace security has become a research hotspot. Network traffic classification is closely related to...
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REDQT: a method for automated mobile application GUI testing based on deep reinforcement learning algorithms
As mobile applications become increasingly prevalent in daily life, the demand for their functionality and reliability continues to grow. Traditional...
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Back-and-Forth (BaF): a new greedy algorithm for geometric path planning of unmanned aerial vehicles
The autonomous task success of an unmanned aerial vehiclel (UAV) or its military specialization called the unmanned combat aerial vehicle (UCAV) has...
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AI enabled: a novel IoT-based fake currency detection using millimeter wave (mmWave) sensor
In recent years, the significance of millimeter wave sensors has achieved a paramount role, especially in the non-invasive and ubiquitous analysis of...
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Residual attention UNet GAN Model for enhancing the intelligent agents in retinal image analysis
A unique method for improving the intelligent agents in retinal image processing is the proposed RAUGAN (Residual Attention UNet GAN) model....
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Edge-driven Docker registry: facilitating XR application deployment
In recent years, containerization is becoming more and more popular for deploying applications and services and it has significantly contributed to...
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Inductive reasoning for significant concept and pattern discovery in cognitive IoT
Recent research on the Internet of Things (IoT) focuses on the insertion of cognition into its system architecture and design, which introduces a new...
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MAC approaches to communication efficiency and reliability under dynamic network traffic in wireless body area networks: a review
Wireless Body Area Networks (WBANs) are wireless sensor networks that monitor the physiological and contextual data of the human body. Nodes in a...
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Energy-aware dynamic response and efficient consolidation strategies for disaster survivability of cloud microservices architecture
Computer system resilience refers to the ability of a computer system to continue functioning even in the face of unexpected events or disruptions....
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Business process discovery as a service with event log privacy and access control over discovered models
The information systems supporting business processes of organizations generate and collect a large number of records in event logs that are...
