Search Results - (( developing outbreak prediction algorithm ) OR ( java code classification algorithm ))

Early prediction of dengue outbreak using Artificial Neural Network (ANN) / Muhammad Sirajuddin Ismail by Ismail, Muhammad Sirajuddin

“…This study aims to investigate the requirements of utilizing the Artificial Neural Network algorithm for prediction of dengue outbreak. The objective is to develop Dengue Outbreak Prediction System using Artificial Neural Network algorithm and evaluate its performance. …”
Get full text
Get full text

Prediction of COVID-19 outbreak using Support Vector Machine / Muhammad Qayyum Mohd Azman by Mohd Azman, Muhammad Qayyum

“…In response to the unprecedented challenges posed by the COVID-19 pandemic, this research project presents a systematic approach to outbreak prediction, specifically advocating for the implementation of Support Vector Machine (SVM) algorithms. …”
Get full text
Get full text

Rabies Outbreak Prediction Using Deep Learning with Long Short-Term Memory by Abdulrazak Yahya, Saleh, Shahrulnizam, Medang, Ashraf, Osman Ibrahim

“…As such, biosurveillance system developers are looking for highly sensitive outbreak prediction algorithms that will minimise the number of false alarms. …”
Get full text
Get full text
Get full text

Object-Oriented Programming semantics representation utilizing agents by Mohd Aris, Teh Noranis

“…A formal algorithm that can be applied to any two related Java-based source codes examples is invented to generate the semantics of these source codes. …”
Get full text
Get full text
Get full text

New bio-inspired barnacle optimizers based least-square support vector machine for time-series prediction of pandemic outbreaks by Marzia, Ahmed

“…These findings underscore the efficacy of GBO and its competitive edge in achieving accurate time-series predictions when compared to a diverse set of algorithms. …”
Get full text
Get full text

Performance of hybrid GANN in comparison with other standalone models on dengue outbreak prediction by Husin, Nor Azura, Mustapha, Norwati, Sulaiman, Md. Nasir, Yaacob, Razali, Hamdan, Hazlina, Hussin, Masnida

“…Early prediction of diseases especially dengue fever in the case of Malaysia, is very crucial to enable health authorities to develop response strategies and context preventive intervention programs such as awareness campaigns for the high risk population before an outbreak occurs. …”
Get full text
Get full text
Get full text

Proposed conceptual Iot-based patient monitoring sensor for predicting and controlling dengue by Hassan N.H., Salwana E., Drus S.M., Maarop N., Samy G.N., Ahmad N.A.

“…The growing development of wearable Internet of Things (IoT), cloud computing, analytical approaches provide better alternative for dengue prediction and control. …”

Development Of Machine Learning User Interface For Pump Diagnostics by Lee, Zhao Yang

“…Build up a user interface by using Visual Studio Code (VSC) to run the coding of Cascading Style Sheet (CSS), Hyper Text Markup Language (HTML) and JavaScript (JS) as a webpage and connect to Azure Machine Learning Model and this will allow the user from using the model from a webpage when they have active internet with any devices.…”
Get full text
Get full text

Mining The Basic Reproduction Number (R0) Forecast For The Covid Outbreak by Rajogoval, Illayakantthan

“…The COVID-19 Basic Reproduction Number, R0 a predictive model is developed using a linear regression classification algorithm to predict the COVID-19 Basic Reproduction Number, Robased on the actual COVID-19 Basic Reproduction Number, R0. …”
Get full text
Get full text

Prediction of epidemic trends in COVID-19 with Mann-Kendall and recurrent forecasting-singular spectrum analysis by Shazlyn Milleana Shaharudin, Shuhaida Ismail, Mohd Saiful Samsudin, Azman Azid, Mou, Leong Tan, Muhamad Afdal Ahmad Basri

“…Nevertheless, enhanced RF-SSA algorithm should to be developed for higher effectivity in capturing any extreme data changes.…”
Get full text
Get full text
Get full text

The transmission dynamic of the COVID 19 outbreak : a predictive dashboard by Muhammad Fahmi Ahmad Zuber, Norhayati Rosli, Noryanti Muhammad

“…The model is solved using a numerical algorithm of the Runge-Kutta method. The predictive dashboard of a graphical user interface (GUI) is developed, hence monitoring and predicting the outbreak under the control measures of the two different types of MCO scenarios (which are called constant and alternate scenarios) can be performed. …”
Get full text
Get full text
Get full text

The transmission dynamic of the COVID 19 outbreak: A predictive dashboard by Muhammad Fahmi, Ahmad Zuber, Norhayati, Rosli, Noryanti, Muhammad

“…The model is solved using a numerical algorithm of the Runge-Kutta method. The predictive dashboard of a graphical user interface (GUI) is developed, hence monitoring and predicting the outbreak under the control measures of the two different types of MCO scenarios (which are called constant and alternate scenarios) can be performed. …”
Get full text
Get full text
Get full text
Get full text
Get full text

Modelling transmission dynamics of Covid-19 during pre-vaccination period in Malaysia: a GUI-based seird predictive model using Streamlit by Norsyahidah Zulkarnain, Muhammad Salihi Abdul Hadi, Nurul Farahain Mohammad, Shogar, Ibrahim

“…With the lack of a predictive SEIRD model in terms of Graphical Users Interface (GUI) in Malaysia, this paper aims to model the COVID-19 outbreak in Malaysia during the pre-vaccination period using the Susceptible-Exposed-Infected-Recovered-Death (SEIRD) model with time-varying parameters, then develop a GUI-based SEIRD predictive model using Streamlit Python library. …”
Get full text
Get full text
Get full text

Modelling transmission dynamics of covid-19 during Pre-vaccination period in Malaysia: a predictive guiseird model using streamlit by Zulkarnain, Norsyahidah, Abdul Hadi, Muhammad Salihi, Mohammad, Nurul Farahain, Shogar, Ibrahim

“…With the lack of a predictive SEIRD model in terms of Graphical Users Interface (GUI) in Malaysia, this paper aims to model the COVID-19 outbreak in Malaysia during the pre-vaccination period using the Susceptible-Exposed-Infected-Recovered-Death (SEIRD) model with time-varying parameters, then develop a GUI-SEIRD predictive model using Streamlit Python library. …”
Get full text
Get full text

Developing dengue index through the integration of crowdsourcing approach (X-Waba) by makroui, Lyes, Hj. Mohd. Noor, Norzailawati, Abdullah, Alias

“…This research aims at improving the existing dengue indices by developing an algorithm that would use the variables affecting positively the vector’s lifecycle and monitoring them daily to generate an improved Dengue Index that would help forewarn on the high possibility of a dengue outbreak. …”
Get full text
Get full text
Get full text
Get full text

Modelling transmission dynamics of Covid-19 during pre-vaccination period in Malaysia : a gui-based seird predictive model using streamlit by Zulkarnain, Norsyahidah, Abdul Hadi, Muhammad Salihi, Mohammad, Nurul Farahain, Shogar, Ibrahim

“…With the lack of a predictive SEIRD model in terms of Graphical Users Interface (GUI) in Malaysia, this paper aims to model the COVID-19 outbreak in Malaysia during the pre-vaccination period using the Susceptible-Exposed-Infected-Recovered-Death (SEIRD) model with time-varying parameters, then develop a GUI-based SEIRD predictive model using Streamlit Python library. …”
Get full text
Get full text
Get full text

How artificial intelligence is enhancing innovation in healthcare / Assoc. Prof. Dr. Fazlin Mohd Fauzi by Mohd Fauzi, Fazlin

“…AI has the potential to revolutionise healthcare by predicting and preventing disease outbreaks, as well as identifying the most effective treatments for individual patients. …”
Get full text
Get full text
Get full text

Revolutionizing healthcare through artificial intelligence / Assoc. Prof. Dr Fazlin Mohd Fauzi by Mohd Fauzi, Fazlin

“…AI has the potential to revolutionize healthcare by predicting and preventing disease outbreaks, as well as identifying the most effective treatments for individual patients. …”
Get full text
Get full text

Predictive dynamic CFD approach to reducing airborne transmission in naturally ventilated hospital rooms: Impact of window opening angles during transitional cold seasons in China... by Haowei , Yu

“…This novel simulation approach combines a window state prediction algorithm and CFD simulation technology. …”
Get full text
Get full text
Get full text

Using satellite-measured relative humidity for prediction of Metisa plana’s population in oil palm plantations: a comparative assessment of regression and artificial neural network... by Ruslan, Siti Aisyah, Muharam, Farrah Melissa, Zulkafli, Zed, Omar, Dzolkhifli, Zambri, Muhammad Pilus

“…Regression analyses and artificial neural network (ANN) were also conducted to develop the best prediction model of Metisa plana’s outbreak. …”
Get full text
Get full text
Get full text