Search Results - (( developing trust classification algorithm ) OR ( java implementation matching algorithm ))
Search alternatives:
- implementation matching »
- trust classification »
- java implementation »
- developing trust »
-
1
Automatic Number Plate Recognition on android platform: With some Java code excerpts
Published 2016“…On the other hand, the traditional algorithm using template matching only obtained 83.65% recognition rate with 0.97 second processing time. …”
Get full text
Get full text
Get full text
Book -
2
A Voting Technique Of Multilayer Perceptron Ensemble For Classification Application
Published 2014“…In order to choose the final output of MLPE, a new voting algorithm named Trust-Sum Voting (TSV) is proposed. …”
Get full text
Get full text
Thesis -
3
Individual And Ensemble Pattern Classification Models Using Enhanced Fuzzy Min-Max Neural Networks
Published 2014“…Pattern classification is one of the major components for the design and development of a computerized pattern recognition system. …”
Get full text
Get full text
Thesis -
4
BIOLOGICAL INSPIRED INTRUSION PREVENTION AND SELF-HEALING SYSTEM FOR CRITICAL SERVICES NETWORK
Published 2011“…Secondly, specification language, system design, mathematical and computational models for IPS and SH system are established, which are based upon nonlinear classification, prevention predictability trust, analysis, self-adaptation and self-healing algorithms. …”
Get full text
Get full text
Thesis -
5
A Comparative Study of Text Classifier for Mobile Crowdsensing Applications
Published 2024Proceedings Paper -
6
-
7
A modified single-stacked ensemble framework for prognostic analysis of leukemia relapse
Published 2026“…While its predictive performance is average, the algorithm identifies key relapse-related covariates, including acute GVHD time, acute and chronic GVHD occurrence, platelet recovery time and status, and French-American-British (FAB) classification. …”
Get full text
Get full text
Get full text
Book Chapter -
8
Multi-floor indoor location estimation system based on wireless local area network
Published 2007“…During location estimation, current histogram of RSS at unknown location will be compared to the database. The most probable match is selected and returned as estimated location based on Bayesian filtering algorithm. …”
Get full text
Get full text
Thesis -
9
Hybrid Models Of Fuzzy Artmap And Qlearning For Pattern Classification
Published 2015“…In this study, the main research focus is on the design and development of hybrid models, combining the supervised Adaptive Resonance Theory (ART) neural network and Reinforcement Learning (RL) models for pattern classification. …”
Get full text
Get full text
Thesis -
10
Interpretable hybrid models of Kolmogorov–Arnold Networks and transformer for mental health classification in low-resource languages: a Malay social media case study
Published 2025“…A gold-standard annotated corpus is developed using a hybrid strategy that combines expert validation, community a!…”
Get full text
Get full text
Thesis -
11
Classification and visualization of e-commerce product reviews comparison using support vector machine / Nuwairah Aimi Ahmad Kushairi
Published 2023“…Therefore, this project aims 1) to design a web-based system that can classify the comparison of useful and not useful product reviews from Shopee using the Support Vector Machine (SVM) algorithm and visualize the comparison, 2) to develop the designed system, and 3) to test the functionality and usability of the system. …”
Get full text
Get full text
Thesis -
12
An Agent-Based System with Personalization and Intelligent Assistance Services for Facilitating Knowledge Sharing
Published 2006“…KSFaci is embedded in web environment and is implemented using Java Servlet and runs under Apache server. …”
Get full text
Get full text
Thesis -
13
Application of artificial neural network in discriminating the agarwood oil quality using significant chemical compounds / Mohd Hezri Fazalul Rahiman … [et al.]
Published 2014“…The ANN programming algorithm was developed and computed automatically via Matlab software version R2010a. …”
Get full text
Get full text
Get full text
Book Section
