Whale Optimization Algorithm Final Year Projects with Source Code

Whale Optimization Algorithm Final Year Projects for BE, BTech, ME, MSc, MCA and MTech final year engineering students. These Whale Optimization Algorithm projects give practical experience and help complete final-year submissions. All projects follow IEEE standards and each project includes source code, project thesis report, presentation, project execution and explanation.

Whale Optimization Algorithm Final Year Projects

  1. Quantum Artificial Hummingbird Algorithm for Feature Selection of Social IoT
    This project creates a smart method to pick only the most useful information from large Internet of Things data. It uses an improved search technique inspired by hummingbird behavior and quantum ideas. The method helps computers work faster and make better decisions with fewer inputs. Tests on many datasets show that it improves accuracy while reducing unnecessary data.
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At Final Year Projects, we provide complete guidance for Whale Optimization Algorithm IEEE projects for BE, BTech, ME, MSc, MCA and MTech students. We assist at every step from topic selection to coding, report writing, and result analysis.

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Whale Optimization Algorithm Project Synopsis & Presentation

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