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Optimization and physicochemical studies of alumina supported samarium oxide based catalysts using artificial neural network in methanation reaction
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Environmental …,
2023 |
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[2]
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Hourly pollutants forecasting using a deep learning approach to obtain the AQI
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López, J González-Enrique… - Logic Journal of the …,
2022 |
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Investigating the Performance of Black Soldier Fly Larvae (Hermetia illucens) in Fecal Matter Co-digestion for Optimum Protein
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2022 |
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[4]
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IoT Based Air Quality Monitoring System with Power Consumption Optimization and Air Quality Parameters Prediction using Deep Learning
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2022 |
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An Internet of Things-based Air Pollution Detection System
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Journal of Soft …,
2022 |
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Evaluating the Performance of Random Forest and Multiple Linear Regression for Higher Observed PM10 Concentrations
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Saufie, WN Shaziayani,
2022 |
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Prediction of airborne pollen concentrations by artificial neural network and their relationship with meteorological parameters and air pollutants
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… of Environmental Health …,
2022 |
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[8]
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Chemometric approach in environmental pollution analysis: A critical review
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Journal of …,
2022 |
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[9]
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Forecasting Daytime Ground-Level Ozone Concentration in Urbanized Areas of Malaysia Using Predictive Models
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Saufie, AV Sandu… - Sustainability,
2022 |
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[10]
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Smotednn: A novel model for air pollution forecasting and aqi classification
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Computers, Materials and Continua,
2022 |
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[11]
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Long Term Predictions of NO2 Average Values via Deep Learning
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… Science and Its …,
2021 |
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[12]
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The Role of Gross Motor Performance Towards Hand-Eye Coordination Among Girls Aged 7 Years Old in Malaysia Using Machine Learning
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2021 |
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[13]
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Investigation of PM10 prediction utilizing data mining techniques: Analyze by topic
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Wiley Interdisciplinary Reviews: Data Mining and Knowledge Discovery,
2021 |
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[14]
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Mathematical Modelling of Biosensing Platforms Applied for Environmental Monitoring. Chemosensors 2021, 9, 50
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2021 |
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[15]
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Novel Application of Linear Scaling to Improve Accuracy of Optimized Artificial Neural Network Using Levenberg-Marquardt Algorithm in Prediction of Daily Nitrogen …
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2021 |
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[16]
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Forecasting PM2. 5 concentration using artificial neural network and its health effects in Ahvaz, Iran
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2021 |
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[17]
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Dynamic simulation of airborne pollutant concentrations associated with the effect of climate change in Batu Muda region, Malaysia
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2021 |
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[18]
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A study on air pollution Index in Sabah and Sarawak using principal component analysis and artificial neural network
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2021 |
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[19]
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Haze episodes: identification of air pollutants and meteorological factors in Borneo, Central, Eastern, Northern, and Southern regions of Malaysia
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DESALINATION AND …,
2021 |
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[20]
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Examination of air pollutant concentrations in Smart City Helsinki using data exploration and deep learning methods
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2021 |
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[21]
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THREE-DAYS AHEAD PREDICTION OF DAILY MAXIMUM CONCENTRATIONS OF PM10 USING DECISION TREE APPROACH.
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2021 |
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[22]
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Mathematical Modelling of Biosensing Platforms Applied for Environmental Monitoring
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2021 |
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[23]
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DATA ANALYSIS & PREDICTION OF AIR QUALITY PARAMETERS IN BANGALORE CITY
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2021 |
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[24]
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Novel Application of Artificial Neural Network Techniques for Prediction of Air Pollutants Using Stochastic Variables for Health Monitoring: A Review
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2020 |
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[25]
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Comparison between artificial neural network and SPSS to predict vehicle emission
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2020 |
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[26]
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Optimization of meteorological variables to predict air pollutant concentrations for use in artificial neural network model to reduce the cost and time of analysis
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2020 |
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[27]
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The Effect of Selected Factors on Adaptive Behavioural Responses to Urban Air Pollution in Malaysia
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International Journal of Innovation, Creativity and Change,
2020 |
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[28]
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Prediction of Occupational Risk at Workplace Using Artificial Neural Network—A Case Study
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2020 |
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[29]
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Air pollution and its health impacts in Malaysia: a review
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2020 |
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[30]
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Hourly Air Quality Index (AQI) Forecasting Using Machine Learning Methods
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2020 |
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[31]
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Review on Neural Network Algorithms for Air Pollution Analysis
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2020 |
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[32]
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An Air Quality Prediction Model Based on a Noise Reduction Self-Coding Deep Network
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2020 |
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[33]
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An artificial neural network and principle component analysis based model for methane level prediction in underground coal mines
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2020 |
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[34]
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Application of chemometrics techniques to solve environmental issues in Malaysia
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2019 |
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[35]
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Comparative study on the effects of meteorological and pollutant parameters on ANN modelling for prediction of SO2
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2019 |
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[36]
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POCER 1945: Use of Artificial Neural Network to Predict Variation in Pollutant Concentrations associated to Climate Change Sensitivities
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2019 |
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[37]
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Particle Swarm Optimization to Obtain Weights in Neural Network
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2019 |
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[38]
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Gridded data as a source of missing data replacement in station records
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2019 |
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[39]
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The evaluation on artificial neural networks (ANN) and multiple linear regressions (MLR) models over particulate matter (PM10) variability during haze and non …
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2019 |
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[40]
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Forecasting concentrations of air pollutants using support vector regression improved with particle swarm optimization: Case study in Aburrá Valley, Colombia
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2019 |
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[41]
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Prediction model of missing data: a case study of PM 10 across Malaysia Region
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Journal of Fundamental and Applied Sciences,
2018 |
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[42]
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Evaluating Fuzzy Time Series and Artificial Neural Network for Air Pollution Index Forecasting
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Proceedings of the Second International Conference on the Future of ASEAN (ICoFA) 2017 – Volume 2,
2018 |
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[43]
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Air-Pollution Prediction in Smart Cities through Machine Learning Methods: A Case of Study in Murcia, Spain
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2018 |
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[44]
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Applied Chemometric Approach in Identification Sources of Air Quality Pattern in Selangor, Malaysia
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2018 |
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[45]
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Estimation of Air Quality Index by Merging Neural Network with Principal Component Analysis
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2018 |
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[46]
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Novel hybrid model for daily prediction of PM10 using principal component analysis and artificial neural network
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International Journal of Environmental Science and Technology,
2018 |
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[47]
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Molecular Insights into the Interaction of RONS and Thieno [3, 2-c] pyran Analogs with SIRT6/COX-2: A Molecular Dynamics Study
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2018 |
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[48]
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EVALUATION OF WATER QUALITY USING PATTERN RECOGNITION TECHNIQUE IN MELAKA RIVER BASIN, MALAYSIA
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2018 |
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[49]
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Air-pollution prediction in smart cities through machine learning methods: A Case of study in Murcia, Spain.
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España, A Bueno-Crespo, IM Timon-Perez… - J. Univers. Comput. Sci.,
2018 |
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[50]
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PREDICTION OF AIR QUALITY USING ARTIFICIAL NEURAL NETWORK TECHNIQUES: A REVIEW
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Pollution Research,
2017 |
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[51]
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Assessment of Statistical Models to Predict Ambient Gamma Radiation Levels Using Principal Component Analysis
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2017 |
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[52]
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Prediction of Air Pollutants Concentration Based on an Extreme Learning Machine: The Case of Hong Kong
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International Journal of Environmental Research and Public Health,
2017 |
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[53]
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AIR POLLUITON INDEX PREDICTION USING MULTIPLE NEURAL NETWORKS
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2017 |
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[54]
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AIR QUALITY MODELLING USING CHEMOMETRIC TECHNIQUES
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2017 |
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[55]
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Assessment on pattern of urban air quality by using chemometric technique: A case study in Kota Kinabalu, Sabah
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2017 |
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[56]
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Analysis of winter rainfall change statistics over the Western Himalaya: the influence of internal variability and topography
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International journal of climatology,
2017 |
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[57]
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Multi-Hierarchical Pattern Recognition of Athlete's Relative Performance as A Criterion for Predicting Potential Athletes
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2016 |
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[58]
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SIMILARITIES AND DISTINCTION PATTERN RECOGNITION OF PHYSICAL FITNESS RELATED PERFORMANCE BETWEEN AMATEUR SOCCER AND …
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2016 |
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[59]
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Selection of the Most Significant Variables of Air Pollutants Using Sensitivity Analysis
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Analysis,
2016 |
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Multi-Hierarchical Pattern Recognition of Athlete's Relative Performance as A Criterion for Predicting Potential Athletes.
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2016 |
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[61]
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SIMILARITIES AND DISTINCTION PATTERN RECOGNITION OF PHYSICAL FITNESS RELATED PERFORMANCE BETWEEN AMATEUR SOCCER AND FIELD HOCKEY PLAYERS
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International journal of life science and pharma research,
2016 |
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[62]
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Application of artificial neural network and response surface methodology for modelling of hydrogen production using nickel loaded zeolite
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Jurnal Teknologi,
2015 |
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[63]
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SPATIAL AIR QUALITY MODELLING USING CHEMOMETRICS TECHNIQUES: A CASE STUDY IN PENINSULAR MALAYSIA
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Malaysian Journal of Analytical Sciences,
2015 |
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[64]
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SPATIAL ANALYSIS OF THE CERTAIN AIR POLLUTANTS USING ENVIRONMETRIC TECHNIQUES
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Jurnal Teknologi,
2015 |
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[65]
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Identification Source of Variation on Regional Impact of Air Quality Pattern Using Chemometric
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Aerosol and Air Quality Research,
2015 |
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[66]
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Flood Risk Pattern Recognition Using Integrated Chemometric Method and Artificial Neural Network: A Case Study in the Johor River Basin
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Jurnal Teknologi,
2015 |
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[67]
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Assessment of land use change and sedimentation modelling on environmental health in tropical river
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2015 |
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[68]
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ation Sour emometri
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2014 |
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[69]
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Prediction of the Level of Air Pollution Using Principal Component Analysis and Artificial Neural Network Techniques: a Case Study in Malaysia
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Water, Air, & Soil …,
2014 |
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[70]
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Source Apportionment of Air Pollution: A Case Study In Malaysia
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Jurnal Teknologi,
2014 |
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[71]
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Hybrid artificial neural network algorithm for air pollution estimation
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[72]
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Predicting Air Pollutant using Data Mining and Machine Learning Algorithms
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I Jagtap
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C14 Hasil Review Jurnal Internasional: Particle Swarm Optimization to Obtain Weights in Neural Network
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