Search Results for author: Kamal Z. Zamli

Found 5 papers, 1 papers with code

Study of keyword extraction techniques for Electric Double Layer Capacitor domain using text similarity indexes: An experimental analysis

1 code implementation13 Nov 2021 M. Saef Ullah Miah, Junaida Sulaiman, Talha Bin Sarwar, Kamal Z. Zamli, Rajan Jose

This paper presents an experimental analysis of similarity scores of keywords generated by different supervised and unsupervised automated keyword extraction algorithms with expert provided keywords from the Electric Double Layer Capacitor (EDLC) domain.

Keyword Extraction Management +2

Text based personality prediction from multiple social media data sources using pre-trained language model and model averaging

no code implementations Journal of Big Data 2021 Hans Christian, Derwin Suhartono, Andry Chowanda, Kamal Z. Zamli

Owing to its simplicity and proven capability, a well-known personality model, called the big five personality traits, has often been adopted in the literature as the de facto standard for personality assessment.

Language Modelling

Fuzzy adaptive teaching learning-based optimization strategy for the problem of generating mixed strength t-way test suites

no code implementations10 Apr 2019 Kamal Z. Zamli, Fakhrud Din, Salmi Baharom, Bestoun S. Ahmed

The teaching learning-based optimization (TLBO) algorithm has shown competitive performance in solving numerous real-world optimization problems.

A Hybrid Q-Learning Sine-Cosine-based Strategy for Addressing the Combinatorial Test Suite Minimization Problem

no code implementations27 Apr 2018 Kamal Z. Zamli, Fakhrud Din, Bestoun S. Ahmed, Miroslav Bures

Experimental results reveal that the QLSCA is statistically superior with regard to test suite size reduction compared to recent state-of-the-art strategies, including the original SCA, the particle swarm test generator (PSTG), adaptive particle swarm optimization (APSO) and the cuckoo search strategy (CS) at the 95% confidence level.

Q-Learning

Cannot find the paper you are looking for? You can Submit a new open access paper.