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Advances in Data Science and Adaptive Analysis, Volume 17

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Volume 17, Number 1-2, 2025

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Bingzi Jin, Xiaojie Xu:
Machine Learning Copper Price Predictions: Evidence Based on Gaussian Process Regressions Tuned with Cross-Validation and Bayesian Optimization.
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Jérôme Gilles, Richard Castro:
Empirical Wavelet Frames.
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Norden E. Huang, Weishuai Yuan, Chi-Hung Juan, Wei-Kuang Liang, Yung-Hung Wang, Zhaohua Wu, Yuanling Zhang, Albert C. Yang, Terry B.-J. Kuo, Fangli Qiao:
On the Reliability Index of the Holo-Hilbert Spectral Analysis.
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Yoshiyasu Takefuji:
Advanced Skin Cancer Classification Using Yet Another Hill Climbing.
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Bochra Rabbouch, Mejdi Ben Dkhil, Hana Rabbouch, Foued Saâdaoui:
Refined Deep Learning Approaches for Enhanced COVID-19 Detection in Chest X-Ray Images.

Volume 17, Number 3, 2025

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Balendra Kumar, Neeraj Sharma, Shiru Sharma:
A Lightweight Methodology for MI EEG Classification Utilizing Step Scaled Wavelet Fractals and Bi-LSTM.
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Bingzi Jin, Xiaojie Xu:
Predictive Modeling of Peanut Oil Prices Utilizing a Gaussian Process Regression-Based Machine Learning Framework.
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Riya Rawal, Anuradha Chug, Amit Prakash Singh:
Review of Deep Learning Revolution on Neuro-Fuzzy Systems.
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Bingzi Jin, Xiaojie Xu:
Predictions of Residential Property Prices for Ningbo City of Zhejiang Province in China Using Machine Learning.

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