Results 191 to 200 of about 113,493 (310)

Entropy-Augmented Forecasting and Portfolio Construction at the Industry-Group Level: A Causal Machine-Learning Approach Using Gradient-Boosted Decision Trees. [PDF]

Entropy (Basel)
Cohen G, Aiche A, Eichel R.
europepmc   +1 more source

Volatility forecast comparison using imperfect volatility.

, 2016
The use of a conditionally unbiased, but imperfect, volatility proxy can lead to undesirable out- comes in standard methods for comparing conditional variance forecasts. We motivate our study with analytical results on the distortions caused by some widely-used loss functions, when used with stan-dard volatility proxies such as squared returns, the ...
openaire   +1 more source

Wireless Power Transfer Modalities for Implantable Bioelectronics: Electromagnetic, Acoustic, and Magneto‐Dynamic Perspectives

Advanced Materials Technologies, EarlyView.
This review traces the evolution of wireless power transfer (WPT) for implantable medical devices, spanning electromagnetic, magnetoelectric, acoustic, and magneto‐dynamic systems. Quantitative comparisons of power, distance, and device scale highlight trade‐offs across modalities, while emerging hybrid mechanisms reveal strategies to overcome ...
Junyeop Kim, Yoonseok Park
wiley   +1 more source

Short-term forecasting and impact analysis of COVID-19 and the stock market in Morocco using ARIMA. [PDF]

PLoS One
Aboagye N, Nadarajah S.
europepmc   +1 more source

Characterization of Droplet Formation in Ultrasonic Spray Coating: Influence of Ink Formulation Using Phase Doppler Anemometry and Machine Learning

Advanced Materials Technologies, EarlyView.
This study explores how machine learning models, trained on small experimental datasets obtained via Phase Doppler Anemometry (PDA), can accurately predict droplet size (D32) in ultrasonic spray coating (USSC). By capturing the influence of ink complexity (solvent, polymer, nanoparticles), power, and flow rate, the model enables precise droplet control
Pieter Verding, Danny E. P. Vanpoucke, Yunus T. Aksoy, Tobias Corthouts, Maria R. Vetrano, Wim Deferme   +5 more
wiley   +1 more source

A multi-source behavioral data framework for interpretable urban tourism forecasting. [PDF]

Sci Rep
Nie Z, Nie Z.
europepmc   +1 more source

Options-driven volatility forecasting

Quantitative Finance
Nikolas Michael, Mihai Cucuringu, Sam Howison   +2 more
openaire   +1 more source

Recent Advances of Slip Sensors for Smart Robotics

Advanced Materials Technologies, EarlyView.
This review summarizes recent progress in robotic slip sensors across mechanical, electrical, thermal, optical, magnetic, and acoustic mechanisms, offering a comprehensive reference for the selection of slip sensors in robotic applications. In addition, current challenges and emerging trends are identified to advance the development of robust, adaptive,
Xingyu Zhang, Liao Wu, Shuai He, Zhao Sha, Yuwan Huang, Shuying Wu, Dewei Chu, Chun H. Wang, Shuhua Peng   +8 more
wiley   +1 more source

Dynamic forecasting and mechanisms of volatility synchronization in complex financial systems. [PDF]

PLoS One
Li JC, Guo J, Ma R, Zhong G.
europepmc   +1 more source

Amido‐Amine Co(II) Precursor‐Based Atomic/Molecular Layer Deposition Processes for Cobalt‐Organic Thin Films and Their Thermal Conversion to CoO Thin Films

Advanced Materials Technologies, EarlyView.
Three new atomic/molecular layer deposition processes are developed for Co‐organic thin films using a promising all‐nitrogen‐coordinated cobalt precursor. The study examines film growth, reaction mechanisms, chemical stability, and decomposition pathways of the resulting films through extensive characterization techniques and DFT calculations ...
Topias Jussila, Jorit Obenlüneschloß, Ji Liu, Olga Partanen, Sami Vasala, Detlef Rogalla, Pieter Glatzel, Michael Nolan, Anjana Devi, Maarit Karppinen   +9 more
wiley   +1 more source