Results 51 to 60 of about 3,768 (183)

Intraday Functional PCA Forecasting of Cryptocurrency Returns

open access: yesJournal of Forecasting, Volume 45, Issue 5, Page 2186-2212, August 2026.
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

open access: yesBipolar Disorders, Volume 28, Issue 5, August 2026.
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

Thermal and Photocatalytic Conversion of CO2 to Ethanol: Advances in Catalyst Design, Challenges, and Opportunities

open access: yesChemSusChem, Volume 19, Issue 12, 26 June 2026.
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

open access: yesScientific Reports
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

Life Time Prediction of an Electromagnet Relay using Clustering based Principal Component Analysis with Hybrid Deep Learning Model

open access: yesJournal of Applied Engineering and Technological Science
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

Water Level Regulation Regime Shifts Drive Divergent Foraging Habitat Use by Wintering Hooded Cranes (Grus monacha) in Shallow Gate‐controlled Lakes of the Yangtze Floodplain

open access: yesEcology and Evolution, Volume 16, Issue 6, June 2026.
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 Approach With Multimodal Neurocognitive Features and Quantum Optimization for Early Detection of Alzheimer's Disease and Related Dementias

open access: yesEngineering Reports, Volume 8, Issue 6, June 2026.
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

open access: yesEgyptian Informatics Journal, 2020
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

open access: yesSN Applied Sciences, 2023
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

Real‐Time Data‐Driven Fault Diagnosis of Photovoltaic Arrays Using an Edge‐Server Machine‐Learning Framework

open access: yesEnergy Science &Engineering, Volume 14, Issue 6, Page 2961-2982, June 2026.
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

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