Results 61 to 70 of about 3,334 (209)

Long Term Solar Radiation Forecast Using Computational Intelligence Methods

Applied Computational Intelligence and Soft Computing, 2014
The point prediction quality is closely related to the model that explains the dynamic of the observed process. Sometimes the model can be obtained by simple algebraic equations but, in the majority of the physical systems, the relevant reality is too ...
João Paulo Coelho, José Boaventura-Cunha   +1 more
doaj   +1 more source

State‐Dependent Market (In)Efficiency in Cryptocurrency Markets

Journal of Futures Markets, EarlyView.
ABSTRACT This paper develops a meta‐learning framework to test whether cryptocurrency market inefficiency is static or state‐dependent. To resolve competing claims between the Efficient and Adaptive Market Hypotheses (AMH), we construct an adaptive trading strategy using high‐frequency data for 50 major cryptocurrencies.
Sasan Barak, Siavash Razmi, Alireza Mousavi   +2 more
wiley   +1 more source

Organic electrochemical transistors for neural recording and modulation: From mixed‐conduction physics to closed‐loop biointerfaces

InfoMat, EarlyView.
OECT‐based neural interfaces integrate mixed ionic‐electronic transduction, soft biointegration, multimodal sensing, and closed‐loop modulation, enabling adaptive recording, neurochemical monitoring, and intelligent therapeutic strategies. Abstract Next‐generation neural interfaces increasingly aim to couple neural recording with local processing and ...
Chao Zhao, Zhongqing Sun, Shijie Wang, Bingjun Wang, Zixuan Yuan, Yaomin Guo, Jie Zhao, Leyuan Li, Xiaomu Wang, Wen Jiang, Wei Ma   +10 more
wiley   +1 more source

Compound Autoregressive Network for Prediction of Multivariate Time Series

Complexity, 2019
The prediction information has effects on the emergency prevention and advanced control in various complex systems. There are obvious nonlinear, nonstationary, and complicated characteristics in the time series.
Yuting Bai, Xuebo Jin, Xiaoyi Wang, Tingli Su, Jianlei Kong, Yutian Lu   +5 more
doaj   +1 more source

PARAMETER IDENTIFICATION FOR NONSTATIONARY NONLINEAR SYSTEMS [PDF]

Bulletin of informatics and cybernetics, 1982
Sunahara, Yoshifumi, Fukuda, Tokuo
openaire   +2 more sources

Recovering steady‐state visual evoked potential‐related electroencephalography during amplitude‐modulated‐transcranial alternating current stimulation using dynamic adaptive stimulation artifact source separation

Journal of Intelligent Medicine, EarlyView.
Abstract Simultaneous electroencephalography (EEG) recording during transcranial alternating current stimulation (tACS) is strongly contaminated by stimulation artifacts, limiting direct assessment of neural activity. Steady‐state visual evoked potentials (SSVEPs) provide frequency‐specific and phase‐locked responses, making them suitable for ...
Hongzuo Chu, Junling Wang, Xiaoya Liu, Sitong Chen, Tao Wang, Shuang Liu   +5 more
wiley   +1 more source

A novel methodology for emotion recognition through 62-lead EEG signals: multilevel heterogeneous recurrence analysis

Frontiers in Physiology
ObjectiveRecognizing emotions from electroencephalography (EEG) signals is a challenging task due to the complex, nonlinear, and nonstationary characteristics of brain activity.
Yujie Wang, Cheng-Bang Chen, Toshihiro Imamura, Toshihiro Imamura, Ignacio E. Tapia, Virend K. Somers, Phyllis C. Zee, Diane C. Lim, Diane C. Lim   +8 more
doaj   +1 more source

RECiPROsody: A Study Protocol for Investigating Movement and Prosodic Synchrony as Embodied Markers of Relational Attunement in Gestalt Psychotherapy

The Journal of Humanistic Counseling, EarlyView.
ABSTRACT Nonverbal synchrony supports therapeutic alliance, yet its role in Gestalt psychotherapy remains underexplored. This manuscript presents the RECiPROsody study protocol, designed to investigate how multimodal interpersonal synchrony between therapists and clients relates to embodied attunement and therapeutic outcomes.
Serena Iacono Isidoro, Margherita Spagnuolo Lobb, Simona Campisi, Roberta Bruschetta, Maria Valeria Maiorana, Gaspare Cusimano, Giovanni Pioggia, Gennaro Tartarisco   +7 more
wiley   +1 more source

Fault Diagnosis in an Induction‐Motor‐Driven Rotating Machinery Test Rig Under Unseen Operating Loads Using Multimodal Fusion and Multiagent Deep Reinforcement Learning

International Journal of Mechanical System Dynamics, EarlyView.
ABSTRACT Conventional fault‐diagnosis methods, largely grounded in one‐dimensional signal analysis and linear modeling, often fail to detect complex nonlinear faults in rotating machinery operating under variable loads. Data‐driven approaches also face challenges in extracting discriminative information from high‐dimensional multisensor measurements ...
Amirreza Marzband, Javad Poshtan
wiley   +1 more source

On the Role of Chaos and Instability in the Evolution of Nonlinear Nonstationary Stellar Systems [PDF]

International Astronomical Union Colloquium, 1993
AbstractThe role of chaos and instability in evolution of nonlinear, non-stationary stellar system have been discussed. It is possible to distinguish between the only two different cases (i) strongly non-stationary stage when we have the violent relaxation accompanied by the compulsive mixing (ii) weakly non-stationary state or quasilinear case, when ...
openaire   +1 more source