Results 51 to 60 of about 3,768 (183)
Intraday Functional PCA Forecasting of Cryptocurrency Returns
ABSTRACT We study the functional PCA (FPCA) forecasting method in application to functions of intraday returns on Bitcoin. We show that improved interval forecasts of future return functions are obtained when the conditional heteroscedasticity of return functions is taken into account.
Joann Jasiak, Cheng Zhong
wiley +1 more source
Speech and Language Markers of Bipolar Disorder: Challenges and Opportunities
ABSTRACT Background Clinicians aspire to predict the emergence of Bipolar Disorder (BD) in a timely manner. To accomplish this, markers reflecting mental states that can be gathered non‐invasively and at large scale are needed. Here, we systematically evaluate evidence relating speech‐based markers to mood states in BD.
Farida Zaher +4 more
wiley +1 more source
This review examines thermo‐ and photocatalytic routes for converting CO2 to ethanol and analyzes how metal alloying, promoters, supports, surface structure, and semiconductor design govern catalyst activity, selectivity, and stability. It integrates mechanistic insights from experimental and theoretical studies and identifies the main challenges and ...
Bryan Rocano‐Merchan +7 more
wiley +1 more source
Ensemble based high performance deep learning models for fake news detection
Social media has emerged as a dominant platform where individuals freely share opinions and communicate globally. Its role in disseminating news worldwide is significant due to its easy accessibility.
Mohammed E.Almandouh +4 more
doaj +1 more source
The estimation of the electromagnet relay remaining useful life is highly crucial to maintain reliability and avoid unscheduled breakdowns in various applications.
T. Maris Murugan +3 more
doaj +1 more source
This study investigates how contrasting hydrological regulation regimes at two gate‐controlled lakes influence the foraging strategies of wintering Hooded Cranes. We demonstrate that while cranes at near‐natural sites follow Optimal Foraging Theory by utilizing high‐accessibility mudflats, those at artificially high‐water sites exhibit an adaptive ...
Yong Fang +3 more
wiley +1 more source
A hybrid deep learning framework integrating convolutional–transformer networks and global gated attention is proposed for early dementia detection using multimodal MRI and speech data. Quantum marine predator optimization enhances classification performance, achieving superior accuracy and robustness compared with existing state‐of‐the‐art methods ...
R. Anandan +3 more
wiley +1 more source
Gender identification for Egyptian Arabic dialect in twitter using deep learning models
Although the number of Arabic language writers in social media is increasing, the research work targeting Author Profiling (AP) is at the initial development phase.
Shereen ElSayed, Mona Farouk
doaj +1 more source
Energy consumption forecast in peer to peer energy trading
This study predicts future values of energy consumption demand from a novel dataset that includes the energy consumption during COVID-19 lockdown, using up-to-date deep learning algorithms to reduce peer-to-peer energy system losses and congestion. Three
Hend G. Hassan +2 more
doaj +1 more source
A real‐time, data‐driven framework detects and classifies photovoltaic array faults using edge sensing and server‐side machine learning. Ensemble tree models achieve near‐perfect accuracy with low latency, enabling practical, low‐cost deployment for reliable PV monitoring and intelligent maintenance.
Premkumar Manoharan +4 more
wiley +1 more source

