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A fractal-enhanced deep learning framework for forecasting agricultural production in India. [PDF]
Sharma S, Katiyar K, Sajid M.
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Assessment of the salt tolerance of diverse bread wheat (Triticum aestivum L.) genotypes during the early growth stage under hydroponic culture conditions. [PDF]
Khan MM +8 more
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Hvordan foregår bibelundervisningen i trosopplæringen i Den norske kirke? [PDF]
Leganger-Krogstad, Heid
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Maternal Immunization Against Respiratory Syncytial Virus: An Integrative Review of Efficacy, Safety, and Implementation. [PDF]
Almeida IR +11 more
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A Review of Machine Learning-Assisted Gas Sensor Arrays in Medical Diagnosis. [PDF]
Yu Y +6 more
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We provide a new contribution to trading strategies by using multi-fractal de-trended fluctuation analysis (MF-DFA), imported from econophysics, to complement various momentum strategies. The method provides a single measure that can capture both persistency and anti-persistency in stock prices, accounting for multifractality.
Obiyathulla Ismath Bacha +2 more
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3D object feature extraction and classification using 3D MF-DFA
Computer Vision and Image Understanding, 2023Junseok Kim, Ziwei Han
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Combining MF-DFA and LSSVM for retina images classification
Biomedical Signal Processing and Control, 2020Abstract Diabetic retinopathy is the main cause of blindness in adults. Early diagnosis of diabetic retinopathy is essential for avoiding deterioration of illness and vision loss. The use of computer technology to identify diabetic retinopathy images provides significant means to reduce the risk of deterioration.
Jian Wang 0052 +2 more
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ECG CLASSIFICATION COMPARISON BETWEEN MF-DFA AND MF-DXA
Fractals, 2021In this paper, automatic electrocardiogram (ECG) recognition and classification algorithms based on multifractal detrended fluctuation analysis (MF-DFA) and multifractal detrended cross-correlation analysis (MF-DXA) were studied. As human heart is a complex, nonlinear, chaotic system, using multifractal analysis to analyze chaotic systems is also a ...
JIAN WANG, WEI SHAO, JUNSEOK KIM
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