Anan Banharnsakun

25 papers B 1Journal 17Unranked 7
YearRankTypeTitle / Venue / Authors
2024 — conf
Applying the ABC Approach for Edge Detection in Unshelled Banana Prawn Images.
JCSSE
Adisak Supeesun, Kanjana Eiamsaard, Anan Banharnsakun
2022 J jnl
Aerial Image Denoising Using a Best-So-Far ABC-based Adaptive Filter Method.
Int. J. Comput. Intell. Appl.
Anan Banharnsakun
2021 — conf
Low-Light Image Enhancement with Artificial Bee Colony Method.
ICO
Anan Banharnsakun
2020 J jnl
Artificial bee colony algorithm for content-based image retrieval.
Comput. Intell.
Anan Banharnsakun
2019 J jnl
Artificial bee colony algorithm for enhancing image edge detection.
Evol. Syst.
Anan Banharnsakun
2019 J jnl
Multi-focus image fusion using best-so-far ABC strategies.
Neural Comput. Appl.
Anan Banharnsakun
2019 J jnl
Towards improving the convolutional neural networks for deep learning using the distributed artificial bee colony method.
Int. J. Mach. Learn. Cybern.
Anan Banharnsakun
2018 — conf
Artificial Bee Colony Algorithm for Solving the Knight's Tour Problem.
ICO
Anan Banharnsakun
2018 J jnl
Artificial bee colony approach for enhancing LSB based image steganography.
Multim. Tools Appl.
Anan Banharnsakun
2018 J jnl
Feature point matching based on ABC-NCC algorithm.
Evol. Syst.
Anan Banharnsakun
2018 J jnl
Multiple traffic sign detection based on the artificial bee colony method.
Evol. Syst.
Anan Banharnsakun
2017 J jnl
A MapReduce-based artificial bee colony for large-scale data clustering.
Pattern Recognit. Lett.
Anan Banharnsakun
2017 J jnl
Hybrid ABC-ANN for pavement surface distress detection and classification.
Int. J. Mach. Learn. Cybern.
Anan Banharnsakun
2016 J jnl
A hierarchical clustering of features approach for vehicle tracking in traffic environments.
Int. J. Intell. Comput. Cybern.
Anan Banharnsakun, Supannee Tanathong
2016 J jnl
Drug Delivery Based on Swarm Microrobots.
Int. J. Comput. Intell. Appl.
Anan Banharnsakun, Tiranee Achalakul, Romesh C. Batra
2014 — conf
Multiple Object Tracking Based on a Hierarchical Clustering of Features Approach.
ACIIDS (1)
Supannee Tanathong, Anan Banharnsakun
2014 J jnl
Object Detection Based on Template Matching through Use of Best-So-Far ABC.
Comput. Intell. Neurosci.
Anan Banharnsakun, Supannee Tanathong
2013 J jnl
Reducing bioinformatics data dimension with ABC-kNN.
Neurocomputing
Thananan Prasartvit, Anan Banharnsakun, Boonserm Kaewkamnerdpong, Tiranee Achalakul
2013 J jnl
The best-so-far ABC with multiple patrilines for clustering problems.
Neurocomputing
Anan Banharnsakun, Booncharoen Sirinaovakul, Tiranee Achalakul
2012 J jnl
Job Shop Scheduling with the Best-so-far ABC.
Eng. Appl. Artif. Intell.
Anan Banharnsakun, Booncharoen Sirinaovakul, Tiranee Achalakul
2012 B conf
Target finding and obstacle avoidance algorithm for microrobot swarms.
SMC
Anan Banharnsakun, Tiranee Achalakul, Romesh C. Batra
2012 — conf
The Performance and Sensitivity of the Parameters Setting on the Best-so-far ABC.
SEAL
Anan Banharnsakun, Booncharoen Sirinaovakul, Tiranee Achalakul
2011 J jnl
The best-so-far selection in Artificial Bee Colony algorithm.
Appl. Soft Comput.
Anan Banharnsakun, Tiranee Achalakul, Booncharoen Sirinaovakul
2010 — conf
ABC-GSX: A hybrid method for solving the Traveling Salesman Problem.
NaBIC
Anan Banharnsakun, Tiranee Achalakul, Booncharoen Sirinaovakul
2010 — conf
Artificial bee colony algorithm on distributed environments.
NaBIC
Anan Banharnsakun, Tiranee Achalakul, Booncharoen Sirinaovakul