Results 131 to 140 of about 114,992,358 (252)
Error report for Joel et al. (2017)
Joel, Eastwick, & Finkel (2017) "Is Romantic Desire Predictable? Machine Learning Applied to Initial Romantic Attraction" was determined to contain Minor Errors that do not affect the core conclusions of the manuscript.
ERROR
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Advanced Intelligent Discovery, EarlyView.scTIGER2.0 is a deep‐learning framework that infers gene regulatory networks from single‐cell RNA sequencing data. By integrating correlation, pseudotime ordering, deep learning and bootstrap‐based significance testing, it reduces false positives and reveals directional gene interactions.
Nishi Gupta +3 more
wiley +1 more source
Advanced Intelligent Systems, Volume 7, Issue 3, March 2025.Quantitative phase maps of single cells recorded in flow cytometry modality feed a hierarchical architecture of machine learning models for the label‐free identification of subtypes of ovarian cancer. The employment of a priori clinical information improves the classification performance, thus emulating the clinical application of liquid biopsy during ...
Daniele Pirone +11 more
wiley +1 more source
Multisite Analysis of Vancomycin Concentration Predictions in a Bayesian Software in Adult and Pediatric Patients With and Without Acute Kidney Injury. [PDF]
PharmacotherapyHughes MA, Pearson JC, Hughes JH.
europepmc +1 more source
Advanced Intelligent Systems, Volume 7, Issue 3, March 2025.SuperResNET is a powerful integrated software that reconstructs network architecture and molecular distribution of subcellular structures from single molecule localization microscopy datasets. SuperResNET segments the nuclear pore complex and corners, extracts size, shape, and network features of all segmented nuclear pores and uses modularity analysis
Yahongyang Lydia Li +6 more
wiley +1 more source
Vancomycin AUC<sub>24</sub> Estimation for Children with Bayesian Forecasting and First-Order Equations to Update Dose Recommendations. [PDF]
Antibiotics (Basel)Kalliainen R +4 more
europepmc +1 more source
, 1994 Cockburn, Bernardo; Gremaud, Pierre-Alain. (1994). A priori error estimates for numerical methods for scalar conservation laws. Part I: The general approach.
Cockburn, Bernardo +1 more
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Interpretable Short‐Term Electric Load Forecasting
Advanced Intelligent Systems, EarlyView.A temporal fusion transformer is implemented to generate day‐ahead forecasts of the hourly electrical load of a departmentbuilding at an Italian university. A forecasting performance improvement of more than 25% compared with established benchmark models and a provision of inherent robust interpretability insights reveal the potential of this model for
Alessandro Nicola +6 more
wiley +1 more source
Advanced Intelligent Systems, EarlyView.A scalable distributed observer framework for LiDAR sensor networks is presented for robust tracking and pose estimation of mobile robots. By combining adaptable 3D detection, clustering‐based communication reduction, and intermittent inertial fusion, accurate and efficient estimation is achieved under occlusions and sensing constraints, with formally ...
Isabella Luppi, Ehsan Hashemi
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Noise-Enhanced Hamming Code Transmission over an Additive Gaussian Mixture Noise Channel with One-Bit ADCs. [PDF]
Sensors (Basel)Zhai Q, Wang Y.
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