🕔 Call For Paper — Vol. 13 | Issue 9 | September 2026 | Deadline: 27-Sep-2026
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DOI will be assigned to every published paper at no additional charge. 📢 Call for Papers — Volume 13, Issue 9 (September 2026) | Submission Deadline: September 30, 2026 | Rapid peer review: 2–3 days | Impact Factor: 7.37 (SJIF 2026)

Paper Details

📄 IJAERD-OJS-2050

ADAPTIVE SEMI SUPERVISED LEARNING FOR TIME STREAMING DATA

Author(s):Ayush koul, Kumar Abhinav, Satvik Rathor, Shaktisingh shekhawat
Institution:Department of Information Technology Engineering, DIT, Pimpri, Pune
Published In:Vol. 4, Issue 3 — March 2017
Page No.:421-423
Domain:Engineering
Type:Research Paper
ISSN (Online):2348-4470
ISSN (Print):2348-6406
Abstract

This paper depicts an online here and now voltage stability appraisal conspire from a general perspective ofthe heap region in the power framework. In this plan, information acquisitions are completed by post-possibility phasorestimations and a period series shapelet grouping strategy is utilized for order learning. Joined with choice trees, thisnovel approach can hold a superior of order as well as offer an adequate translation of arrangement results. Anenhanced algorithm to accelerate shapelet seeking is proposed, which makes it more handy. Semi-administered bunchlearning is additionally received in this plan to relieve the inconsistency of the past reasonable criteria. The test comesabout on the Nordic test framework show the adequacy and unwavering quality of the proposed plot

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🕮 How to Cite

Ayush koul, Kumar Abhinav, Satvik Rathor, Shaktisingh shekhawat, “ADAPTIVE SEMI SUPERVISED LEARNING FOR TIME STREAMING DATA”, International Journal of Advance Engineering and Research Development (IJAERD), Vol. 4, Issue 3, pp. 421-423, March 2017.

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27 Sep 2026
Vol. 13 | Issue 9
September 2026