Results 91 to 100 of about 87,896 (215)

Enhancing patient rehabilitation predictions with a hybrid anomaly detection model: Density‐based clustering and interquartile range methods

CAAI Transactions on Intelligence Technology, EarlyView.
Abstract In recent years, there has been a concerted effort to improve anomaly detection techniques, particularly in the context of high‐dimensional, distributed clinical data. Analysing patient data within clinical settings reveals a pronounced focus on refining diagnostic accuracy, personalising treatment plans, and optimising resource allocation to ...
Murad Ali Khan, Jong‐Hyun Jang, Naeem Iqbal, Harun Jamil, Syed Shehryar Ali Naqvi, Salabat Khan, Jae‐Chul Kim, Do‐Hyeun Kim   +7 more
wiley   +1 more source

Fault diagnosis method of a cascaded H‐bridge inverter based on a multisource adaptive fusion CNN‐transformer

IET Power Electronics, EarlyView.
The multisource adaptive fusion CNN‐transformer method proposed in this study can provide theoretical and technical support for fault diagnosis of high‐voltage MCHBI. It has a promising potential for engineering applications. Abstract In high‐voltage applications, the number of cascaded H‐bridge inverter units is large, the failure probability ...
Weiman Yang, Weinian Wang, Xinggui Wang, Jianfeng Gu, Zhuoling Wang   +4 more
wiley   +1 more source

Multi-Scale Spatiotemporal Feature Enhancement and Recursive Motion Compensation for Satellite Video Geographic Registration. [PDF]

J Imaging
Geng Y, Lv J, Huang S, Wang B.
europepmc   +1 more source

Bridging the gap between remotely sensed phenology and the underlying ecophysiological processes: The SWELL model

Methods in Ecology and Evolution, EarlyView.
Abstract Vegetation phenology studies the periodic recurrence of plant life‐cycle events and is essential for understanding ecosystem responses to environmental changes. Remote sensing has become a key tool for monitoring phenological events on large spatial and temporal scales, primarily using vegetation indices like the Normalized Difference ...
S. Bajocco, C. Ricotta, S. Bregaglio
wiley   +1 more source

CNN-Transformer gated fusion network for medical image super-resolution. [PDF]

Sci Rep
Qin J, Xiong J, Liang Z.
europepmc   +1 more source

Using synthetic farm data to estimate individual nitrate leaching levels

American Journal of Agricultural Economics, EarlyView.
Abstract This article delineates a synthetic population generation scheme in an attempt to estimate individual nitrate leaching rates among Greek farms in the region of Thessaly. The proposed scheme relies upon the construction of a Bayesian network describing farming activities in the region, which, coupled with the use of nonparametric regression ...
Konstantinos Mattas, Michail Tsagris, Vangelis Tzouvelekas   +2 more
wiley   +1 more source

Optimization of Imaging Reconnaissance Systems Using Super-Resolution: Efficiency Analysis in Interference Conditions. [PDF]

Sensors (Basel)
Bistroń M, Piotrowski Z.
europepmc   +1 more source

Score‐based tests for parameter instability in ordinal factor models

British Journal of Mathematical and Statistical Psychology, EarlyView.
Abstract We present a novel approach for computing model scores for ordinal factor models, that is, graded response models (GRMs) fitted with a limited information (LI) estimator. The method makes it possible to compute score‐based tests for parameter instability for ordinal factor models.
Franz Classe, Rudolf Debelak, Christoph Kern   +2 more
wiley   +1 more source

MultiOmicsAgent: Guided Extreme Gradient-Boosted Decision Trees-Based Approaches for Biomarker-Candidate Discovery in Multiomics Data. [PDF]

J Proteome Res
Settelmeier J, Goetze S, Boshart J, Fu J, Khoo A, Steiner SN, Gesell M, Hammer J, Schüffler PJ, Salimova D, Pedrioli PGA, Wollscheid B.   +11 more
europepmc   +1 more source

How Can Inflation Contracts Discipline Central Bankers When Agents Are Learning?

Bulletin of Economic Research, EarlyView.
ABSTRACT This paper studies, in a new Keynesian model with a positive optimal output gap, how to design linear inflation contracts to shape the central bank's incentive structure when private expectations are based on adaptive learning. In this model, under rational expectations, inflation contracts could only partially deal with the time‐inconsistency
Marine Charlotte André, Meixing Dai
wiley   +1 more source