An application of hybrid swarm intelligence algorithms for dengue outbreak prediction

QR Code

An application of hybrid swarm intelligence algorithms for dengue outbreak prediction

Dengue fever is a hazardous infectious disease which is channeled by Aedes mosquito. A serious infection of dengue may lead to a potentially lethal complication, known as severe dengue, which includes Dengue Haemorrhagic Fever and shock syndrome. In recent decades, this disease becomes a global burd...

Full description

Bibliographic Details
Main Authors:	Mustaffa, Zuriani, Sulaiman, Mohd Herwan, Mohsin, M. F. M., Yusof, Y., Ernawan, Ferda, Rosli, K. A. M.
Format:	Conference or Workshop Item
Language:	English English
Published:	IEEE 2019
Subjects:	QA75 Electronic computers. Computer science QA76 Computer software
Online Access:	http://umpir.ump.edu.my/id/eprint/30060/ http://umpir.ump.edu.my/id/eprint/30060/1/08717436.pdf http://umpir.ump.edu.my/id/eprint/30060/7/An%20application%20of%20hybrid%20swarm%20intelligence%20algorithms%20for%20dengue%20outbreak%20prediction.pdf

Similar Items

Dengue outbreak prediction: hybrid meta-heuristic model
by: Zuriani, Mustaffa, et al.
Published: (2018)

Dengue outbreak prediction using an improved salp swarm algorithm
by: Khairunnisa Amalina, Mohd Rosli, et al.
Published: (2020)

Predictive analysis of dengue outbreak based on an improved salp swarm algorithm
by: Zuriani, Mustaffa, et al.
Published: (2020)

Artificial neural network-salp-swarm algorithm for stock price prediction
by: Zuriani, Mustaffa, et al.
Published: (2024)

Time series predictive analysis based on hybridization of meta-heuristic algorithms
by: Zuriani, Mustaffa, et al.
Published: (2018)

Integration of GWO-LSSVM for time series predictive analysis
by: Zuriani, Mustaffa, et al.
Published: (2016)

Simulation of Dengue Outbreak Prediction
by: Husin, Nor Azura, et al.
Published: (2006)

Swarm intelligence optimization algorithms: a review
by: Odili, Julius Beneoluchi, et al.
Published: (2018)

An application of improved salp swarm algorithm for optimal power flow solution considering stochastic solar power generation
by: Mohd Herwan, Sulaiman, et al.
Published: (2023)

Short term forecasting based on hybrid least squares support vector machines
by: Zuriani, Mustaffa, et al.
Published: (2018)

Time series predictive analysis based on hybridization of meta-heuristic algorithms
by: Mustaffa, Zuriani, et al.
Published: (2018)

Back propagation neural network and non-linear regression models for dengue outbreak prediction
by: Husin, Nor Azura
Published: (2008)

A blind watermarking technique based on DCT psychovisual threshold for a robust copyright protection
by: Ernawan, Ferda, et al.
Published: (2018)

Hybrid least squares support vector machines for short term predictive analysis
by: Zuriani, Mustaffa, et al.
Published: (2017)

Hybrid firefly algorithm–neural network for battery remaining useful life estimation
by: Zuriani, Mustaffa, et al.
Published: (2024)

Intelligent Web caching using neurocomputing and particle swarm optimization algorithm
by: Sulaiman, Sarina, et al.
Published: (2008)

Stock price predictive analysis: An application of hybrid barnacles mating optimizer with artificial neural network
by: Zuriani, Mustaffa, et al.
Published: (2023)

Road damage detection for autonomous driving vehicles using YOLOv8 and salp swarm algorithm
by: Nik Ahmad Farihin, Mohd Zulkifli, et al.
Published: (2025)

A comparison of normalization techniques in predicting dengue outbreak
by: Mustaffa, Zuriani, et al.
Published: (2010)

Word sense disambiguation using hybrid swarm intelligence approach
by: Al-Saiagh, Wafaa, et al.
Published: (2018)

Stock price predictive analysis : An application of hybrid barnacles mating optimizer with artiﬁcial neural network
by: Zuriani, Mustaffa, et al.
Published: (2023)

Swarm intelligence algorithms’ solutions to the travelling salesman’s problem
by: Odili, Julius Beneoluchi, et al.
Published: (2020)

Product recommendation using deep learning in computer vision
by: Mogan, Sharvinteraan Carberry, et al.
Published: (2023)

Swarm Intelligence Based Protein Conformational Search Algorithm.
by: Bahamish, Hesham Awadh Abdallah, et al.
Published: (2007)

A study on dengue outbreak dependency on climate factors using neural network model
by: Othman, Nur Surianiza
Published: (2007)

African Buffalo Optimization: A Swarm-Intelligence Technique
by: Odili, Julius Beneoluchi, et al.
Published: (2015)

A new psycho visual masking model for robust image watermarking
by: Ernawan, Ferda, et al.
Published: (2018)

An improved image compression technique using large adaptive DCT psychovisual thresholds
by: Ernawan, Ferda, et al.
Published: (2019)

An adaptive large DCT psychovisual threshold in image compression
by: Ernawan, Ferda, et al.
Published: (2019)

Soft Set Decision/Forecasting System Based on Hybrid Parameter Reduction Algorithm
by: Mohammed, Mohammed Adam Taheir, et al.
Published: (2017)

Hybrid Metaheuristic Algorithm for Short Term Load Forecasting
by: Zuriani, Mustaffa, et al.
Published: (2016)

Block-based Tchebichef image watermarking scheme using psychovisual threshold
by: Ernawan, Ferda, et al.
Published: (2017)

An application barnacles mating optimizer for forecasting of full load electrical power output
by: Zuriani, Mustaffa, et al.
Published: (2020)

Rice Predictive Analysis Mechanism Utilizing Grey Wolf Optimizer-Least Squares Support Vector Machines
by: Zuriani, Mustaffa, et al.
Published: (2015)

Using the evolutionary mating algorithm for optimizing the user comfort and energy consumption in smart building
by: Mohd Herwan, Sulaiman, et al.
Published: (2023)

Forecasting solar power generation using evolutionary mating algorithm-deep neural networks
by: Mohd Herwan, Sulaiman, et al.
Published: (2024)

Enhancing wind power forecasting accuracy with hybrid deep learning and teaching-learning-based optimization
by: Mohd Herwan, Sulaiman, et al.
Published: (2024)

Chiller energy prediction in commercial building : A metaheuristic-enhanced deep learning approach
by: Mohd Herwan, Sulaiman, et al.
Published: (2024)

Enhancing battery state of charge estimation through hybrid integration of barnacles mating optimizer with deep learning
by: Zuriani, Mustaffa, et al.

Deep Learning-Based Technique for Sign Language Detection
by: Zuriani, Mustaffa, et al.
Published: (2023)