Delay guaranteed SFC placement with VNF parallelization in multidomain IoT networks
As an emerging network technology, Network Function Virtualization (NFV) enables network functions decoupling from dedicated hardware by replacing traditional middleboxes with software implemented Virtual Network Functions (VNFs). In NFV-enabled Internet
Siquan Liu +5 more
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BGNER: A boundary guidance framework for enhanced named entity recognition
Named Entity Recognition (NER) is a fundamental task in natural language processing that involves identifying and classifying text segments corresponding to real-world entities.
Yu He +4 more
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SwiftKV: A Metadata Indexing Scheme Integrating LSM-Tree and Learned Index for Distributed KV Stores
Optimizing metadata indexing remains critical for enhancing distributed file system performance. The Traditional Log-Structured Merge-Trees (LSM-Trees) architecture, while effective for write-intensive operations, exhibits significant limitations when ...
Zhenfei Wang +4 more
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Research on Computer Science and Artificial Intelligence [PDF]
Xinyang Wang, Qi Wang
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Artificial intelligence in computer science and mathematics education [PDF]
In this thesis I examine how Artificial Intelligence (AI) techniques can help Computer Science students learn programming and mathematics skills more efficiently using algorithms and concepts such as Predictive Modelling, Machine Learning, Deep Learning, Representational Learning, Recommender Systems and Graph Theory.
openaire
An efficient weighted slime mould algorithm for engineering optimization
In engineering applications, optimal parameter design is crucial. While Slime Mould Algorithm (SMA) excels in parameter discovery under constrained conditions, it faces challenges in achieving global convergence and avoiding local opsecttimal traps in ...
Qibo Sun +5 more
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MODERN COMPUTER SCIENCE: FROM ROBOTICS TO ARTIFICIAL INTELLIGENCE
Adela Guliyeva, Kanan Huseynaliev
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Prioritized experience replay based on dynamics priority
Experience replay has been instrumental in achieving significant advancements in reinforcement learning by increasing the utilization of data. To further improve the sampling efficiency, prioritized experience replay (PER) was proposed.
Hu Li, Xuezhong Qian, Wei Song
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PCL-RC: a parallel cloud resource load prediction model based on feature optimization
The demand for cloud computing services has increased dramatically. With the promotion of global low-carbon policies, increasing energy savings and efficiency in cloud computing services is important.
Guoxiu Zhang, Xinyi He, Xiaofeng Wang
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Correction: Optimized ensemble machine learning model for cyberattack classification in industrial IoT. [PDF]
Alabdullah B, Sankaranarayanan S.
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