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Menampilkan 1–3 dari 3 artikel
An Enhancement of Jiang, Z., et al.’s Compression-Based Classification Algorithm Applied to News Article Categorization
Cid Antonio F Masapol
; Sean Lester C Benavides
; Jonathan C Morano
; Khatalyn E Mata
Proceeding of the International Conference on Electrical Engineering and Informatics
Vol 1
, No 1
(2025)
This study enhances Jiang et al.'s compression-based classification algorithm by addressing its limitations in detecting semantic similarities between text documents. The proposed improvements focus on unigram extraction and optimized concatenation, eliminating reliance on entire document compression. By compressing extracted unigrams, the algorithm mitigates sliding window limitations inherent to gzip, improving compression efficiency and similarity detection. The optimized concatenation strate...
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An Enhancement of Cuckoo Search Algorithm for Optimal Earthquake Evacuation Space Allocation in Intramuros, Manila City
Marcus Andre C Villanueva
; Charles Matthew L Ching
; Khatalyn E Mata
Proceeding of the International Conference on Electrical Engineering and Informatics
Vol 1
, No 1
(2025)
The Cuckoo Search Algorithm (CSA), while effective in solving complex optimization problems, faces limitations in random population initialization and reliance on fixed parameters. Random initialization of the population often results in clustered solutions, resulting in uneven exploration of the search space and hindering effective global optimization. Furthermore, the use of fixed values for discovery rate and step size creates a trade-off between solution accuracy and convergence speed. To ad...
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An Enhancement of Harris Corner Detector Algorithm Applied in Signature Forgery Detection System
Dzelle Faith R Tan
; Pauline Regina J Obispo
; Jonathan C Morano
; Khatalyn E Mata
Proceeding of the International Conference on Electrical Engineering and Informatics
Vol 1
, No 1
(2025)
Signature verification is crucial for confirming the authenticity of identities in both administrative and financial transactions, where signature forgery can lead to significant security risks. The Harris Corner Detector Algorithm is a widely used method for feature extraction in image processing; its application spans various domains, such as detection of signature forgery. While effective in identifying key features, noise significantly affects performance, especially with impulse noise like...
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