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A well-developed recommendation system can not only leverage multi-typed interactions (such as page view, add-to-cart, and purchase) to better identify user preferences but also demonstrate high performance, low complexity, and strong interpretability. ...

Mobile Edge Computing emerges as a key technology to address the challenges of real-time data processing by extending computing capabilities to the network edge, reducing latency, and enhancing service reliability. Existing research often ...

As an efficient computing paradigm, Mobile Edge Computing (MEC) is essential in assisting mobile devices with real-time complex tasks such as big data analytics. In MEC, application tasks consist of multiple dependent subtasks, and the way to ...

• Addressing the challenge of handling application tasks with multiple dependent subtasks.
• Facilitating mobile edge devices to participate in big data analytics.
• Introducing TMHD, a dual-state embedding approach for edge computing ...

Scheduling is important for improving performance in a distributed heterogeneous computing environment where workflows represented as a directed acyclic graph (DAG). The DAG task scheduling problem has been extensively studied, and many modern ...

Scalability is often considered the "Achilles' heel" of blockchain technology. With a traditional chain-based structure, blocks cannot be generated concurrently, thus limiting the throughput and slowing transaction confirmation. Recently emerged graph-...

This paper addresses the problem of multiprocessor real-time scheduling for parallel tasks modeled as directed acyclic graph (DAG). We propose a new decomposition-based scheduling algorithm to schedule parallel DAG tasks with implicit-...

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• An improved decomposition-based scheduling algorithm is proposed for parallel tasks.

The problem of distributing database fragments across multiple sites in the network is challenging due to computing and communication costs in the network, storage size, delays caused by data requests queueing and costs for maintaining consistency among ...

• Existing algorithms for LiNGAM do not use sparseness and non-Gaussianity sufficiently.

We consider the problem of inferring the causal structure from observational data, especially when the structure is sparse. This type of problem is usually formulated as an inference of a Directed Acyclic Graph (DAG) model. The Linear ...

With the advent of the blockchain technology, low throughput and scalability have gradually become technical bottlenecks. A DAG (Directed Acyclic Graph)-based blockchain system is deemed to be a potential solution to addressing both issues. ...

Intelligent farming as part of the green revolution is advancing the world of agriculture in such a way that farms become dynamic, with the overall scope being the optimization of animal production in an eco-friendly way. In this direction, this study ...

Drones or Unmanned Aerial Vehicles (UAVs) can be highly efficient in various applications like hidden area exploration, delivery, or surveillance and can enhance the quality of experience (QoE) for end-users. However, the number of ...

It is well known that Parallel Task Graphs (PTG) are modeled with Directed Acyclic Graphs (DAG Tasks). DAG tasks are scheduled in Heterogeneous Distributed Computing Systems (HDCS) for execution with different techniques which seek to reduce ...

Tree ensembles, such as Random Forest (RF), are popular methods in machine learning because of their efficiency and superior performance. However, they always grow big trees and large forests, which limits their use in many memory constrained ...

Directed Acyclic Graph (DAG) based Distributed Ledger Technologies (DLT) such as IOTA Tangle has been proposed to address the inefficiencies of traditional blockchains, including the issues with scalability, high resource consumptions, and the ...

• A Bayesian Network (BN) for modeling a medical dataset of Brazilian elderly is proposed.

Globally, the proportion of elderly individuals in the population has increased substantially in the last few decades. However, the risk factors that should be managed in advance to ensure a natural process of mental decline due to ...

Planning and scheduling of the workflow applications have always been a burning issue for the research community of the various fields. Researchers often need to evaluate their proposed workflow scheduling algorithm with the help of some benchmark as ...

Widely used computing systems are heterogeneous in nature, comprising of interconnected resources which differ in computational capability of processing nodes and network bandwidth. Due to this diversity, an efficient heuristic is required to achieve ...

Cloud computing is a prototype which takes the new form of utility computing. The on-demand flexible service and pay-per-use schemes provided by the Cloud providers attract the customers to move towards Cloud computing environment. Both the ...

We identify a class of Horn ontologies for which standard reasoning tasks such as instance checking and classification are tractable. The class is general enough to include the OWL 2 EL, QL, and RL profiles. Verifying whether a Horn ontology ...

Credal combines the constructs of the well-known logic with probabilistic assessments, so as to let terminologies convey uncertainty about concepts and roles. We present a restricted version of Credal that can be viewed as a description ...