AIMC Topic: Malaysia

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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 Machine Learning Forecasting Time Factors Malaysia Sewage
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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 ...
Neural Networks, Computer Machine Learning Databases, Factual Shrews Animals Image Processing, Computer-Assisted Malaysia
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A Modified Hopfield Neural Network Algorithm (MHNNA) Using ALOS Image for Water Quality Mapping.

International journal of environmental research and public health Dec 30, 2015
Decreasing water pollution is a big problem in coastal waters. Coastal health of ecosystems can be affected by high concentrations of suspended sediment. In this work, a Modified Hopfield Neural Network Algorithm (MHNNA) was used with remote sensing ...
Malaysia Remote Sensing Technology Water Quality Geographic Information Systems Environmental Monitoring Neural Networks, Computer Algorithms
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Prediction of municipal solid waste generation using nonlinear autoregressive network.

Environmental monitoring and assessment Nov 17, 2015
Most of the developing countries have solid waste management problems. Solid waste strategic planning requires accurate prediction of the quality and quantity of the generated waste. In developing countries, such as Malaysia, the solid waste generati...
Waste Management Population Growth Gross Domestic Product Malaysia Developing Countries Solid Waste Models, Theoretical Environmental Monitoring Neural Networks, Computer Algorithms Forecasting
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Prediction of blast-induced air overpressure: a hybrid AI-based predictive model.

Environmental monitoring and assessment Oct 4, 2015
Blast operations in the vicinity of residential areas usually produce significant environmental problems which may cause severe damage to the nearby areas. Blast-induced air overpressure (AOp) is one of the most important environmental impacts of bla...
Environmental Monitoring Malaysia Explosions Neural Networks, Computer Algorithms Models, Theoretical
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Comparative analysis of diagnostic performance in mammography: A reader study on the impact of AI assistance.

PloS one Jan 1, 2025
PURPOSE: This study evaluates the impact of artificial intelligence (AI) assistance on the diagnostic performance of radiologists with varying levels of experience in interpreting mammograms in a Malaysian tertiary referral center, particularly in wo...
Breast Neoplasms Middle Aged ROC Curve Malaysia Mammography Aged Adult Sensitivity and Specificity Humans Artificial Intelligence Retrospective Studies Radiologists Female Observer Variation
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Assessment of Osteoprotegerin and Receptor Activator of Nf-Κb Ligand in Malaysian Male Patients with Chronic Obstructive Pulmonary Disease: A Cross-Sectional Study.

Revista de investigacion clinica; organo del Hospital de Enfermedades de la Nutricion Jan 1, 2024
Background: Limited information exists regarding the pathophysiological interactions between osteoporosis and chronic obstructive pulmonary disease (COPD). Objective: To study the association of Osteoprotegerin (OPG) and receptor activator of nuclear...
RANK Ligand Male Malaysia Middle Aged Aged Humans Case-Control Studies Pulmonary Disease, Chronic Obstructive Body Mass Index Osteoporosis Cross-Sectional Studies Osteoprotegerin
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Forecasting deep learning-based risk assessment of vector-borne diseases using hybrid methodology.

Technology and health care : official journal of the European Society for Engineering and Medicine Jan 1, 2024
BACKGROUND: Dengue fever is rapidly becoming Malaysia's most pressing health concern, as the reported cases have nearly doubled over the past decade. Without efficacious antiviral medications, vector control remains the primary strategy for battling ...
Humans Algorithms Malaysia Forecasting Dengue Vector Borne Diseases Animals Risk Assessment Deep Learning
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Natural language processing in narrative breast radiology reporting in University Malaya Medical Centre.

Health informatics journal Jan 1, 2023
Radiology reporting is narrative, and its content depends on the clinician's ability to interpret the images accurately. A tertiary hospital, such as anonymous institute, focuses on writing reports narratively as part of training for medical personne...
Radiology Humans Data Mining Universities Malaysia Natural Language Processing
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Prediction of tuberculosis cases based on sociodemographic and environmental factors in gombak, Selangor, Malaysia: A comparative assessment of multiple linear regression and artificial neural network models.

International journal of mycobacteriology Jan 1, 2021
BACKGROUND: Early prediction of tuberculosis (TB) cases is very crucial for its prevention and control. This study aims to predict the number of TB cases in Gombak based on sociodemographic and environmental factors.
Tuberculosis Linear Models Humans Neural Networks, Computer Malaysia
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