-
3221
General Framework of Reversible Watermarking Based on Asymmetric Histogram Shifting of Prediction Error
Published 2017-01-01“…Different from the conventional algorithms using single-prediction scheme to create symmetric histogram, the proposed method employs a multi-prediction scheme, which calculates multiple prediction values for the pixels. …”
Get full text
Article -
3222
Application of Artificial Intelligence Techniques for the Control of the Asynchronous Machine
Published 2016-01-01“…The results of the different simulation tests highlight the properties of robustness of algorithms proposed and suggested to compare the different control strategies.…”
Get full text
Article -
3223
An approach to hypertensive disorders in pregnancy for the primary care physician
Published 2020-02-01“…The last three Saving Mothers reports identified many gaps in the management of HDP and interventions to address these gaps were recommended. …”
Get full text
Article -
3224
A Meta-Learning Approach for Estimating Heterogeneous Treatment Effects Under Hölder Continuity
Published 2025-05-01“…Estimating heterogeneous treatment effects plays a vital role in many statistical applications, such as precision medicine and precision marketing. …”
Get full text
Article -
3225
A three-dimensional pattern recognition localization system based on a Bayesian graphical model
Published 2020-09-01“…Majority of localization algorithms consider two-dimensional models that cause low positioning accuracy. …”
Get full text
Article -
3226
Bayesian optimized parameter selection for density-based clustering applied to single molecule localization microscopy
Published 2025-06-01“…Coupling DBCV with Bayesian optimization, we outline a method, DBOpt, that selects input parameters in an unbiased manner for density-based clustering algorithms. We demonstrate that optimal parameters can be selected for popular algorithms (DBSCAN, HDBSCAN, OPTICS) with minimal user input. …”
Get full text
Article -
3227
Assessing the Risk of Artificial Intelligence Impact on Decision-Making Automation in Digital Businesses
Published 2025-04-01“…The results indicate strong governance structures, open algorithmic audits, and flexible regulatory laws as ways for companies to reduce these risks. …”
Get full text
Article -
3228
Domain Specific Abstractions for the Development of Fast-by-Construction Dataflow Codes on FPGAs
Published 2024-10-01“…FPGAs are popular in many fields but have yet to gain wide acceptance for accelerating HPC codes. …”
Get full text
Article -
3229
Verification of Backtracking and Branch and Bound Design Templates
Published 2011-12-01“…The Design and Analysis of Computer Algorithms is a must of Computer Curricula. It covers many topics that group around several core themes. …”
Get full text
Article -
3230
Probabilistic alignment of multiple networks
Published 2025-04-01“…Abstract The network alignment problem appears in many areas of science and involves finding the optimal mapping between nodes in two or more networks, so as to identify corresponding entities across networks. …”
Get full text
Article -
3231
Non-Gaussian Process Dynamical Models
Published 2025-01-01“…Probabilistic dynamical models used in applications in tracking and prediction are typically assumed to be Gaussian noise driven motions since well-known inference algorithms can be applied to these models. However, in many real world examples deviations from Gaussianity are expected to appear, e.g., rapid changes in speed or direction, which cannot be reflected using processes with a smooth mean response. …”
Get full text
Article -
3232
Sample Entropy on Multidistance Signal Level Difference for Epileptic EEG Classification
Published 2018-01-01“…This neurological abnormality can be detected and evaluated using Electroencephalogram (EEG) signal. Many algorithms have been applied to achieve high performance for the EEG classification of epileptic. …”
Get full text
Article -
3233
Pathogenesis and clinical significance of atrial fibrillation in myocardial infarction
Published 2021-03-01“…Moreover, in every third patient with MI, AF is asymptomatic, which makes it extremely urgent to develop special algorithms aimed at its active search.…”
Get full text
Article -
3234
Regression-based investigation of latency in automated networks
Published 2025-07-01“…Current systems utilizing Cloud-Fog architecture are still struggling to achieve this target. Many proposed algorithms are deployed to reduce the system latency to an acceptable level. …”
Get full text
Article -
3235
Leveraging AI for Enhanced Operational Risk Management in Sports Events
Published 2024-01-01“…The results reveal that, although AI offers many opportunities to minimise operational failures, concerns remain about the complexity of algorithms and the management of real-time data. …”
Get full text
Article -
3236
The pharmacological management of erectile dysfunction
Published 2015-07-01“…The diagnosis and evaluation of sexual dysfunction has been well described, and several validated algorithms are available to quantify the classification and severity. …”
Get full text
Article -
3237
A multivariate analysis of the early dropout using classical machine learning and local interpretable model-agnostic explanations
Published 2024-10-01“…This study aims to predict student dropout rates using classical machine learning algorithms while analyzing the key factors influencing these outcomes in higher education. …”
Get full text
Article -
3238
MAXIMUM POWEWR POINT TRACKING SYSTEM FOR PHOTOVOLTAIC STATION: A REVIEW
Published 2015-11-01“…Many different techniques for MPPT are discussed. …”
Get full text
Article -
3239
CYBERPUNK – GAME – POETRY: Rostislav Amelin’s “SimStab”
Published 2024-10-01“…Thus, in “SimStab” the ludic algorithmic with its procedural rhetoric (Ian Bogost) creates spaces of formlessness which repeats the liberatory promise of cyberpunk literature. …”
Get full text
Article -
3240
A multivariate analysis of the early dropout using classical machine learning and local interpretable model-agnostic explanations
Published 2024-10-01“…This study aims to predict student dropout rates using classical machine learning algorithms while analyzing the key factors influencing these outcomes in higher education. …”
Get full text
Article