AIMC Topic: Malaysia

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Solar radiation prediction using boosted decision tree regression model: A case study in Malaysia.

Environmental science and pollution research international Jan 23, 2021
Reliable and accurate prediction model capturing the changes in solar radiation is essential in the power generation and renewable carbon-free energy industry. Malaysia has immense potential to develop such an industry due to its location in the equa...
Malaysia Decision Trees Solar Energy Neural Networks, Computer Artificial Intelligence Algorithms
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Sustainable management of water demand using fuzzy inference system: a case study of Kenyir Lake, Malaysia.

Environmental science and pollution research international Jan 6, 2021
Sustainable water demand management has become a necessity to the world since the immensely growing population and development have caused water deficit and groundwater depletion. This study aims to overcome water deficit by analyzing water demand at...
Groundwater Fuzzy Logic Malaysia Humans Lakes Water
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Landslide Susceptibility Mapping Using Machine Learning Algorithms and Remote Sensing Data in a Tropical Environment.

International journal of environmental research and public health Jul 8, 2020
We used AdaBoost (AB), alternating decision tree (ADTree), and their combination as an ensemble model (AB-ADTree) to spatially predict landslides in the Cameron Highlands, Malaysia. The models were trained with a database of 152 landslides compiled u...
Machine Learning Algorithms Geographic Information Systems Malaysia Remote Sensing Technology Landslides
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Biocide susceptibilities and biofilm-forming capacities of Acinetobacter baumannii clinical isolates from Malaysia.

Journal of infection in developing countries Jul 31, 2019
INTRODUCTION: Acinetobacter baumannii is a Gram-negative nosocomial pathogen that has the capacity to develop resistance to all classes of antimicrobial compounds. However, very little is known regarding its susceptibility to biocides (antiseptics an...
Benzethonium Prevalence Cross Infection Humans Malaysia Biofilms Drug Resistance, Bacterial Acinetobacter Infections Disinfectants Acinetobacter baumannii Chlorhexidine Microbial Sensitivity Tests Benzalkonium Compounds
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Vehicular traffic noise prediction and propagation modelling using neural networks and geospatial information system.

Environmental monitoring and assessment Feb 26, 2019
This study proposes a neural network (NN) model to predict and simulate the propagation of vehicular traffic noise in a dense residential area at the New Klang Valley Expressway (NKVE) in Shah Alam, Malaysia. The proposed model comprises of two main ...
Neural Networks, Computer Geographic Information Systems Malaysia Models, Theoretical Motor Vehicles Environmental Monitoring Noise, Transportation
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PENYEK: Automated brown planthopper detection from imperfect sticky pad images using deep convolutional neural network.

PloS one Dec 20, 2018
Rice is a staple food in Asia and it contributes significantly to the Gross Domestic Product (GDP) of Malaysia and other developing countries. Brown Planthopper (BPH) causes high levels of economic loss in Malaysia. Identification of BPH presence and...
Malaysia Oryza Insecta Pattern Recognition, Automated Electronic Data Processing Insect Control Humans Deep Learning Neural Networks, Computer Agriculture Software Environmental Monitoring Algorithms Animals
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Leachate generation rate modeling using artificial intelligence algorithms aided by input optimization method for an MSW landfill.

Environmental science and pollution research international Dec 3, 2018
Leachate is one of the main surface water pollution sources in Selangor State (SS), Malaysia. The prediction of leachate amounts is elementary in sustainable waste management and leachate treatment processes, before discharging to surrounding environ...
Water Pollutants, Chemical Malaysia Waste Management Algorithms Models, Theoretical Support Vector Machine Waste Disposal Facilities Gases Water Pollution, Chemical Hydrology Artificial Intelligence
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Malay sentiment analysis based on combined classification approaches and Senti-lexicon algorithm.

PloS one Apr 23, 2018
Sentiment analysis techniques are increasingly exploited to categorize the opinion text to one or more predefined sentiment classes for the creation and automated maintenance of review-aggregation websites. In this paper, a Malay sentiment analysis c...
Knowledge Attitude to Computers Malaysia Emotions Language Social Media User-Computer Interface Humans Supervised Machine Learning Models, Theoretical Machine Learning Semantics Algorithms Attitude
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Analysing the accuracy of machine learning techniques to develop an integrated influent time series model: case study of a sewage treatment plant, Malaysia.

Environmental science and pollution research international Feb 17, 2018
The function of a sewage treatment plant is to treat the sewage to acceptable standards before being discharged into the receiving waters. To design and operate such plants, it is necessary to measure and predict the influent flow rate. In this resea...
Waste Disposal, Fluid Models, Theoretical Support Vector Machine Malaysia Sewage Machine Learning Forecasting Time Factors
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Classification of Suncus murinus species complex (Soricidae: Crocidurinae) in Peninsular Malaysia using image analysis and machine learning approaches.

BMC bioinformatics Dec 22, 2016
BACKGROUND: Taxonomists frequently identify specimen from various populations based on the morphological characteristics and molecular data. This study looks into another invasive process in identification of house shrew (Suncus murinus) using image ...
Machine Learning Databases, Factual Animals Neural Networks, Computer Image Processing, Computer-Assisted Malaysia Shrews
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