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Improving the accuracy of tail risk forecasting models by combining several realized volatility estimators

Naimoli, Antonio; Gerlach, Richard; Storti, Giuseppe - In: Economic modelling 107 (2022), pp. 1-19

Persistent link: https://www.econbiz.de/10013367470

Developing online approaches to visually inspect quality characteristics with known tolerances

Hussein, Mohammed; Diab, Safaa Labib - In: International journal of collaborative enterprise : IJCEnt 5 (2015) 1/2, pp. 19-31

Persistent link: https://www.econbiz.de/10011546949

A framework for inspection of dies attachment on PCB utilizing machine learning techniques

Vafeiadis, Thanasis; Dimitriou, Nikolaos; Ioannidis, … - In: Journal of management analytics 5 (2018) 2, pp. 81-94

Persistent link: https://www.econbiz.de/10011890630

Integrated digital image processing techniques and deep learning approaches for wheat stripe rust disease detection and grading

Mumtaz, Rafia; Maqsood, Muhammad Hassan; Ul Haq, Ihsan; … - In: Decision analytics journal 8 (2023), pp. 1-14

This study proposes integrated image processing and deep learning approaches for wheat rust disease detection and grading. Wheat stripe rust is one of the diseases affecting the crop in nearly all wheat-growing countries, where humidity and high temperatures characterize the growing season. The...

Persistent link: https://www.econbiz.de/10014517346

An integrated feature extraction based on principal components and deep auto encoder with extra tree for intrusion detection systems

Mallampati, Seshu Bhavani; Seetha, Hari - In: Journal of information & knowledge management : JIKM 23 (2024) 1, pp. 1-36

Persistent link: https://www.econbiz.de/10014534155

An empirical wavelet transform-based approach for motion artifact removal in electroencephalogram signals

Nayak, Abhay B.; Shah, Aastha; Maheshwari, Shishir; … - In: Decision analytics journal 10 (2024), pp. 1-7

further processed to suppress the artifacts. In our first approach, principal component analysis (PCA) is employed to suppress … artifacts. More importantly, the IMF-variance-based approach has provided significantly better performance than the EWT-PCA … based approach. Also, the IMF-variance based approach is computationally more efficient than the EWT-PCA based approach. Our …

Persistent link: https://www.econbiz.de/10014543810