{"id":"paper-cmc-2026-086903","type":"book","url":"https://diginpl.com/books/paper-cmc-2026-086903","language":"en","name":"HBMO-RAS: A Hybrid Bio-Inspired and ML-Augmented Optimization Framework for URLLC-Grade Resource Allocation in 6G Digital Twin-Enabled IIoT","name_en":"HBMO-RAS: A Hybrid Bio-Inspired and ML-Augmented Optimization Framework for URLLC-Grade Resource Allocation in 6G Digital Twin-Enabled IIoT","name_ne":null,"description":"Computers, Materials & Continua · Kurunandan Jain, Prabu Pachiyannan, Prabhakar Krishnan et al. · 2026","headline":"Computers, Materials & Continua · Kurunandan Jain, Prabu Pachiyannan, Prabhakar Krishnan et al. · 2026","also_known_as":[],"summary":"","summary_more":[],"facts":[{"key":"authors","label":"Author","values":[{"text":"Kurunandan Jain"},{"text":"Prabu Pachiyannan"},{"text":"Prabhakar Krishnan"},{"text":"Ramesh Chandra Poonia"},{"text":"Ahmed Zohair Ibrahim"}],"source":{"label":"Crossref","url":"https://doi.org/10.32604/cmc.2026.086903"}},{"key":"published","label":"Published","values":[{"text":"2026","date":"2026"}],"source":{"label":"Crossref","url":"https://doi.org/10.32604/cmc.2026.086903"}},{"key":"publisher","label":"Publisher","values":[{"text":"Tech Science Press"}],"source":{"label":"Crossref","url":"https://doi.org/10.32604/cmc.2026.086903"}},{"key":"journal","label":"Journal","values":[{"text":"Computers, Materials & Continua"}],"source":{"label":"Crossref","url":"https://doi.org/10.32604/cmc.2026.086903"}},{"key":"doi","label":"DOI","values":[{"text":"10.32604/cmc.2026.086903","url":"https://doi.org/10.32604/cmc.2026.086903"}],"source":{"label":"Crossref","url":"https://doi.org/10.32604/cmc.2026.086903"}}],"office":null,"sections":[],"cited":[],"cited_from":null,"videos":[],"last_reviewed":null,"organizations":[],"same_as":["https://doi.org/10.32604/cmc.2026.086903"],"faq":[{"q":"Who wrote HBMO-RAS: A Hybrid Bio-Inspired and ML-Augmented Optimization Framework for URLLC-Grade Resource Allocation in 6G Digital Twin-Enabled IIoT?","a":"HBMO-RAS: A Hybrid Bio-Inspired and ML-Augmented Optimization Framework for URLLC-Grade Resource Allocation in 6G Digital Twin-Enabled IIoT was written by Kurunandan Jain, Prabu Pachiyannan, Prabhakar Krishnan, Ramesh Chandra Poonia."},{"q":"When was HBMO-RAS: A Hybrid Bio-Inspired and ML-Augmented Optimization Framework for URLLC-Grade Resource Allocation in 6G Digital Twin-Enabled IIoT first published?","a":"HBMO-RAS: A Hybrid Bio-Inspired and ML-Augmented Optimization Framework for URLLC-Grade Resource Allocation in 6G Digital Twin-Enabled IIoT was first published in 2026."}],"related":[],"places_in":[],"nearby":[],"image":null,"sources":[{"label":"Publisher record (DOI, via Crossref)","url":"https://doi.org/10.32604/cmc.2026.086903","license":null}],"license":null,"attribution":"Open-access publication. Read it free at the publisher: https://doi.org/10.32604/cmc.2026.086903.","cite":"\"HBMO-RAS: A Hybrid Bio-Inspired and ML-Augmented Optimization Framework for URLLC-Grade Resource Allocation in 6G Digital Twin-Enabled IIoT\". DigiNepal. Last updated 12 November 2026. https://diginpl.com/books/paper-cmc-2026-086903. Retrieved 14 November 2026.","date_modified":"2026-11-12T06:53:31Z","facts_checked":"2026-11-12","alternates":{"html":"https://diginpl.com/books/paper-cmc-2026-086903","en":"https://diginpl.com/books/paper-cmc-2026-086903","ne":null}}