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Agile Support Vector Machine for Energy-efficient Resource Allocation in IoT-oriented Cloud using PSO

https://doi.org/10.1145/3433541
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Outgoing claims: the papers this work cites, builds on, or argues with.

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What points at this work

Incoming claims: where this work appears in other papers’ reference lists and arguments.

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Nature‐Inspired Meta‐Heuristic Algorithms for Resource Allocation in the Internet of Things
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TSPSO: Enhanced Task Scheduling using Optimized Particle Swarm Algorithm in Cloud Computing Environment
inferred← citeshttps://doi.org/10.1109/icicds70526.2026.11604673openalex-snapshot
Integrated Reinforcement Learning Scheduler for Intelligent Cloud Resource Optimization Using ML-RLSICRO
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Research on Prediction of Ash Flow Temperature for Xinjiang High-Alkali Coal Based on a GRA-PSO-BP Neural Network
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inferred← citeshttps://doi.org/10.4018/979-8-3373-0700-8.ch008openalex-snapshot
Agile Cost Overhead Prioritization With ML For Effective Software Project Management
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Enhanced Task Scheduling Using Optimized Particle Swarm Optimization Algorithm in Cloud Computing Environment
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Data Analytics Techniques for Addressing Cloud Computing Resources Allocation Challenges: A Bibliometric Analysis Approach
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Resource Allocation Scheduling Optimization Based on Internet of Things under Cloud Platforms
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