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  1. 281
    Feasibility and environmental assessments of a biomass gasification-based cycle next to optimization of its performance using artificial intelligence machine learning methods
    “…, along with machine learning methods, is used to achieve the optimal performance conditions and reduce…”
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    Article
  2. 282
    A Novel Hybrid Model Combining the Support Vector Machine (SVM) and Boosted Regression Trees (BRT) Technique in Predicting PM10 Concentration
    “… the support vector machine (SVM) and the boosted regression trees (BRT) technique in predicting the PM10…”
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    Article
  3. 283
    Enhancing reginal wall abnormality detection accuracy: Integrating machine learning, optical flow algorithms, and temporal convolutional networks in multi-view echocardiography
    “… Convolutional Networks (ConvNet) to extract nuanced motion features. We utilize a variety of machine learning…”
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    Article
  4. 284
    Enhancing reginal wall abnormality detection accuracy: Integrating machine learning, optical flow algorithms, and temporal convolutional networks in multi-view echocardiography
    “… Convolutional Networks (ConvNet) to extract nuanced motion features. We utilize a variety of machine learning…”
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    Article
  5. 285
    Analysing the Character Types and Power Relationships in Metaverse-Themed Movies from the Perspective of Discipline and Anti-discipline
    “…. Movie sector has long been exploring it prospectively and presenting it innovatively, resulting…”
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    Review; Early Access
  6. 286
    Analysing the Character Types and Power Relationships in Metaverse-Themed Movies from the Perspective of Discipline and Anti-discipline
    by Lian B.; Li W.
    Published in Critical Arts (2024)
    “… field. Movie sector has long been exploring it prospectively and presenting it innovatively, resulting…”
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    Review
  7. 287
    Numerical and ensemble machine learning-based investigation of the energy and exergy yields of a concentrating photovoltaic thermal device equipped with a perforated twisted tube turbulator
    “… machine learning model, namely boosted regression tree (BRT) was developed to simulation of the overall…”
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    Article
  8. 288
    Development of regional TSS algorithm over Penang using modis terra (250 m) surface reflectance product
    “… utilizing corrected MODIS Terra 250-m surface reflectance (Rrs) product (MOD09) to map TSS over the Penang…”
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    Article
  9. 289
    A new real-time maximum power point tracking scheme for PV-BASED microgrid STABILITY using online DEEP ridge extreme learning machine algorithm
    “… are subjected to data dimensions using Extreme Learning Machine (ELM) based on Moore-Penrose inverse technique…”
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    Article
  10. 290
    Utilization of machine learning and neural networks to optimize the enclosure angle, magnetic field, and radiation parameter for mixed convection of hybrid nanofluid flow next to assess environmental impact
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    Retracted
  11. 291
    A new real-time maximum power point tracking scheme for PV-BASED microgrid STABILITY using online DEEP ridge extreme learning machine algorithm
    “… are subjected to data dimensions using Extreme Learning Machine (ELM) based on Moore-Penrose inverse technique…”
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    Article
  12. 292
    Assessing the impact of RCP4.5 and RCP8.5 scenarios on landslide susceptibility mapping using support vector machine: A case study of Penang Island, Malaysia
    “… factors in a Support Vector Machine (SVM) model to develop LSM. The Statistical Downscaling Model (SDSM…”
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    Article
  13. 293
    Multiangle Imaging Spectroradiometer (MISR) and Moderate Resolution Imaging Spectrometer (MODIS) Aerosol Optical Depth (AOD) spatial variations in Peninsular Malaysia
    “…Aerosol Optical Depth of Moderate Resolution Imaging Spectroradiometer (MODIS) and the Multiangle…”
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    Conference paper
  14. 294
    Expression of Concern: Application of extreme learning machine for prediction of aqueous solubility of carbon dioxide (Environmental Earth Sciences, (2016), 75, 3, (215), 10.1007/s12665-015-4798-4)
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    Erratum
  15. 295
    RETRACTION: Utilization of machine learning and neural networks to optimize the enclosure angle, magnetic field, and radiation parameter for mixed convection of hybrid nanofluid flow next to assess environmental impact (Retraction of Vol 146, Pg 252, 2023)
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    Retraction
  16. 296
    Chemical and Electrochemical Properties of Bamboo Activated Carbon Activate using Potassium Hydroxide Assisted by Microwave-Ultrasonic Irradiation
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    Article
  17. 297
    Retraction notice to “Utilization of machine learning and neural networks to optimize the enclosure angle, magnetic field, and radiation parameter for mixed convection of hybrid nanofluid flow next to assess environmental impact” [Engineering Analysis with Boundary Elements 146 (2023) 252-262, (S0955799722003290), (10.1016/j.enganabound.2022.09.023)]
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    Erratum
  18. 298
    Local Plant Motif of Kain Suket Ajang
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    Proceedings Paper
  19. 299
    Chemical and morphology characteristics of mimic enzyme Zinc-cyclen integrated with polyvinyl alcohol (PVA) - polyethersulfone (PES) membrane
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    Conference paper
  20. 300
    Potential of integrated membrane bioreactor in Batik dye degradation - A review
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    Conference paper
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