Results 51 to 60 of about 444,422 (231)
Network meta-analysis: application and practice using R software [PDF]
Epidemiology and Health, 2019 The objective of this study is to describe the general approaches to network meta-analysis that are available for quantitative data synthesis using R software.
Sung Ryul Shim +3 more
doaj +1 more source
Subthreshold Time‐Mode All‐Digital DLL With Built‐In Linearization
International Journal of Circuit Theory and Applications, EarlyView.This paper presents a subthreshold time‐mode all‐digital delay‐locked loop (DLL) for low‐frequency clock generation. The large and tunable delay of the DLL is obtained using a static inverter delay line whose supply voltage is in the vicinity of 100 mV and adjustable by varying supply voltage. Phase error is processed by a time‐mode proportional block (
Fei Yuan, Wenhao Wu, Yushi Zhou
wiley +1 more source
Artificial intelligence in preclinical epilepsy research: Current state, potential, and challenges
Epilepsia Open, EarlyView.Abstract Preclinical translational epilepsy research uses animal models to better understand the mechanisms underlying epilepsy and its comorbidities, as well as to analyze and develop potential treatments that may mitigate this neurological disorder and its associated conditions. Artificial intelligence (AI) has emerged as a transformative tool across
Jesús Servando Medel‐Matus +7 more
wiley +1 more source
Bayes’ Theorem and Naive Bayes Classifier
, 2019 The goal of this article is to give a mathematically rigorous yet easily accessible introduction to Bayes’ theorem and the foundations of naive Bayes learning. Starting from fundamental elements of probability theory, this text outlines all steps leading
Berrar, Daniel, Daniel Berrar
core +1 more source
Geological Journal, EarlyView.This work advances landslide susceptibility mapping by incorporating short‐term trigger data with landscape susceptibility mapping. We also examine the importance of downsampling, watershed delineation and geospatial correlations in evaluating outcomes.
Kanta Kotsugi +3 more
wiley +1 more source
Calibration‐Free Single‐Frame Super‐Resolution Fluorescence Microscopy
Laser &Photonics Reviews, EarlyView.A deep learning framework reconstructs super‐resolved fluorescence images from a single dense camera frame, without any prior calibration or knowledge of the microscope. Trained solely on synthetic data, it generalizes across imaging setups and conditions.
Anežka Dostálová +3 more
wiley +1 more source
Exact Bayes’ theorem based probabilistic data association for iterative MIMO detection and decoding [PDF]
, 2013 In our previous work, it was shown that the conventional approximate Bayes' theorem based probabilistic data association (PDA) algorithms output "nominal APPs", which are unsuitable for the classic architecture of iterative detection and decoding (IDD ...
Yang, Shaoshi +3 more
core +1 more source
Peskine Sixfolds and Debarre–Voisin Fourfolds With Associated Cubic Fourfolds
Mathematische Nachrichten, EarlyView.ABSTRACT We develop the notion of Peskine sixfolds with associated K3 surfaces and cubic fourfolds and work out numerical conditions for when these associations occur. In discriminant 24, the first family for which there is an associated cubic fourfold, we identify the cubic explicitly.
Corey Brooke +3 more
wiley +1 more source
Coevolutionary Algorithm with Bayes Theorem for Constrained Multiobjective Optimization
MathematicsThe effective resolution of constrained multi-objective optimization problems (CMOPs) requires a delicate balance between maximizing objectives and satisfying constraints.
Shaoyu Zhao +3 more
doaj +1 more source