Enhancing Indoor Localization Accuracy: A Comparative Study of Decision Tree and Random Forest Algorithms as Successors to KNN-based Approaches

Λεπτομέρειες βιβλιογραφικής εγγραφής
Τίτλος: Enhancing Indoor Localization Accuracy: A Comparative Study of Decision Tree and Random Forest Algorithms as Successors to KNN-based Approaches
Συγγραφείς: Aboughalia, Mohammed, Elalem, Mohamed A.
Πηγή: 2026 IEEE 5th International Maghreb Meeting of the Conference on Sciences and Techniques of Automatic Control and Computer Engineering (MI-STA) Conference on Sciences and Techniques of Automatic Control and Computer Engineering (MI-STA), 2026 IEEE 5th International Maghreb Meeting of the. :217-222 Apr, 2026
Relation: 2026 IEEE 5th International Maghreb Meeting of the Conference on Sciences and Techniques of Automatic Control and Computer Engineering (MI-STA)
Βάση Δεδομένων: IEEE Xplore Digital Library
Περιγραφή
ISBN:9798331584153
9798331584146
9798331584160
DOI:10.1109/MI-STA68962.2026.11511208