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Malignant giant cell tumour of bone: a review of clinical, pathological and imaging features

Skeletal radiology, 2022-05, Vol.51 (5), p.957-970

2022

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The adaptive LASSO regression and empirical mode decomposition algorithm for enhancing modelling accuracy

Communications in statistics. Simulation and computation, 2024-02, Vol.53 (2), p.714-726

2024

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Teachers’ Beliefs in Balancing Linguistic Competence and Teaching Performance in EFL Classrooms

Brain. Broad research in artificial intelligence and neuroscience, 2018-02, Vol.9 (1), p.50-58

Ismail Tahir

2018

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The Effect of Implementing the Experiential Learning Model in Listening Comprehension for the Eleventh Graders at SMAN 1 Telaga Biru

Advances in language and literary studies, 2017-11, Vol.8 (5), p.46

Tahir, Ismail

2017

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Perceptions, Knowledge and Adaptation About Climate Change: A Study on Farmers of Haor Areas After a Flash Flood in Bangladesh

Climate (Basel), 2019-07, Vol.7 (7), p.85

2019

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New modification of ranked set sampling for estimating population mean

Journal of statistical computation and simulation, 2023-11, Vol.93 (16), p.2843-2855

2023

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Sarcopenia, adiposity and large discordance between cystatin C and creatinine‐based estimated glomerular filtration rate in patients with cancer

Journal of cachexia, sarcopenia and muscle, 2024-06, Vol.15 (3), p.1187-1198

2024

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Modelling and forecasting S&P 500 stock prices using hybrid Arima-Garch Model

Journal of physics. Conference series, 2019-11, Vol.1366 (1), p.12130

2019

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Optimizing molecular testing of lung cancer needle biopsy specimens: potential solutions from an interdisciplinary qualitative study

Respiratory research, 2023-01, Vol.24 (1), p.17-17, Article 17

2023

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Role of sex in lung cancer risk prediction based on single low-dose chest computed tomography

Scientific reports, 2023-10, Vol.13 (1), p.18611-18611, Article 18611

2023

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Hybrid model in machine learning–robust regression applied for sustainability agriculture and food security

International journal of electrical and computer engineering (Malacca, Malacca), 2022-08, Vol.12 (4), p.4457

2022

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Improving forecasting accuracy using quantile regression neural network combined with unrestricted mixed data sampling

Journal of Nigerian Society of Physical Sciences, 2023-11, Vol.5 (4), p.1394

2023

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Unexpected bilateral pedicle stress fractures of the lumbar spine

Radiology case reports, 2021-03, Vol.16 (3), p.598-601

2021

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Elastic Net Regression and Empirical Mode Decomposition for Enhancing the Accuracy of the Model Selection

International journal of mathematical, engineering and management sciences, 2021-04, Vol.6 (2), p.564-583

2021

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Comparing the performances of symmetric and asymmetric generalized autoregressive conditionally heteroscedasticity models based on long-memory models under different distributions

Communications in statistics. Simulation and computation, 2023-05, Vol.52 (5), p.1878-1908

2023

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Exploring variation in quality of care and clinical outcomes between neonatal units: a novel use for the UK National Neonatal Audit Programme (NNAP)

BMJ open quality, 2022-10, Vol.11 (4), p.e002017

2022

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Modelling Nonlinear Relationship among Selected ASEAN Stock Markets

Journal of Data Science, 2021-07, Vol.6 (4), p.533-545

2021

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Improving forecasting accuracy for stock market data using EMD-HW bagging

PloS one, 2018-07, Vol.13 (7), p.e0199582-e0199582

2018

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Hybrid fuzzy inference rules of descent method and wavelet function for volatility forecasting

PloS one, 2022-12, Vol.17 (12)

2022

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Novel way to predict stock movements using multiple models and comprehensive analysis: leveraging voting meta-ensemble techniques

Journal of Nigerian Society of Physical Sciences, 2024-07, Vol.6 (3), p.2039

2024

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On Tri-α-Open Sets in Fuzzifying Tritopological Spaces

Advances in fuzzy systems, 2019, Vol.2019 (2019), p.1-9

2019

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Nonlinear autoregressive with exogeneous input neural network time series model performance: bitcoin price prediction

International journal of computational economics and econometrics, 2024, Vol.14 (3), p.337-362

2024

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Modelling and Forecasting the Trend in Cryptocurrency Prices

Journal of ICT, 2023-07, Vol.22 (3)

2023

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Comparing the calibration methods for intelligent driver model using Beijing data

International journal of vehicle systems modelling and testing, 2020, Vol.14 (4), p.215

2020

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Application of topological data analysis to flood disaster management in Nigeria

Environmental Engineering Research, 2023, 28(5), , pp.1-16

2023

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Malignant giant cell tumour of bone: a review of clinical, pathological and imaging features

The adaptive LASSO regression and empirical mode decomposition algorithm for enhancing modelling accuracy

Teachers’ Beliefs in Balancing Linguistic Competence and Teaching Performance in EFL Classrooms

The Effect of Implementing the Experiential Learning Model in Listening Comprehension for the Eleventh Graders at SMAN 1 Telaga Biru

Perceptions, Knowledge and Adaptation About Climate Change: A Study on Farmers of Haor Areas After a Flash Flood in Bangladesh

New modification of ranked set sampling for estimating population mean

Sarcopenia, adiposity and large discordance between cystatin C and creatinine‐based estimated glomerular filtration rate in patients with cancer

Modelling and forecasting S&P 500 stock prices using hybrid Arima-Garch Model

Optimizing molecular testing of lung cancer needle biopsy specimens: potential solutions from an interdisciplinary qualitative study

Role of sex in lung cancer risk prediction based on single low-dose chest computed tomography

Hybrid model in machine learning–robust regression applied for sustainability agriculture and food security

Improving forecasting accuracy using quantile regression neural network combined with unrestricted mixed data sampling

Unexpected bilateral pedicle stress fractures of the lumbar spine

Elastic Net Regression and Empirical Mode Decomposition for Enhancing the Accuracy of the Model Selection

Comparing the performances of symmetric and asymmetric generalized autoregressive conditionally heteroscedasticity models based on long-memory models under different distributions

Exploring variation in quality of care and clinical outcomes between neonatal units: a novel use for the UK National Neonatal Audit Programme (NNAP)

Modelling Nonlinear Relationship among Selected ASEAN Stock Markets

Improving forecasting accuracy for stock market data using EMD-HW bagging

Hybrid fuzzy inference rules of descent method and wavelet function for volatility forecasting

Novel way to predict stock movements using multiple models and comprehensive analysis: leveraging voting meta-ensemble techniques

On Tri-α-Open Sets in Fuzzifying Tritopological Spaces

Nonlinear autoregressive with exogeneous input neural network time series model performance: bitcoin price prediction

Modelling and Forecasting the Trend in Cryptocurrency Prices

Comparing the calibration methods for intelligent driver model using Beijing data

Application of topological data analysis to flood disaster management in Nigeria

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