Results 221 to 230 of about 145,155 (289)

Improving Genotype Imputation in High‐Dimensional Pharmacogenomics Using Multiple Imputation: Evaluation with Machine Learning Approaches

Clinical Pharmacology &Therapeutics, EarlyView.
Multiple imputation is well‐established for handling missing data, yet its use in high‐dimensional genetic datasets remains limited. Using pharmacokinetic tuberculosis simulations and SNP data (1000 Genomes Project), we compared machine learning (ML) and traditional approaches (e.g., mean imputation and complete‐case analysis) for imputation and ...
Innocent G. Asiimwe, Tao You, Daniel F. Carr, Munir Pirmohamed, Geraint Davies, Andrea L. Jorgensen, on behalf of the UNITE4TB Consortium   +6 more
wiley   +1 more source

Weighted Sum-Rate Maximization and Task Completion Time Minimization for Multi-Tag MIMO Symbiotic Radio Networks. [PDF]

Sensors (Basel)
Suo L, Wang D, Zhou W, Peng X.
europepmc   +1 more source

Data‐driven analysis of the spatial dependence of grouting efficiency during tunnel excavation

Deep Underground Science and Engineering, EarlyView.
Prediction of grouting efficiency using machine learning is enhanced by adopting a training strategy that accounts for the grouting process across multiple rounds. Abstract Grouting with water–cement mixtures is the most widely used and cost‐effective method for managing excess water inflow during tunnel construction.
Huaxin Liu, Xunchang Fei, Wei Wu
wiley   +1 more source

Indoor Localization Algorithm Based on Information Gain Ratio and Affinity Propagation Clustering. [PDF]

Sensors (Basel)
Jin R, Zhang D, Tian X, Ma J.
europepmc   +1 more source

An algorithm for seizure detection in rodents

Epilepsia Open, EarlyView.
Abstract Objective Epilepsy animal research often relies on long‐term intracranial electroencephalographic (iEEG) recordings. Here, we describe an artificial neural network (ANN) algorithm for automatic detection of seizures. Methods The algorithm was trained on iEEG recordings of three mouse models of chronic epilepsy: (1) the pilocarpine model of ...
Lyna Kamintsky, Gerben van Hameren, Itai Weissberg, Pooyan Moradi, Ofer Prager, Alaa Abu Ahmad, Lior Schori, Albert Becker, Yaniv Zigel, Alon Friedman   +9 more
wiley   +1 more source

Precise forecasting of shear stress, viscosity, and density for an aqueous CuO/CaCO₃/SiO₂ ternary hybrid nanofluid utilizing the artificial neural network. [PDF]

Sci Rep
Jin Y, Basem A, Al-Nussairi AKJ, Kareem MK, Hasanabad A, Li Z, Salahshour S.   +6 more
europepmc   +1 more source

AI‐based localization of the epileptogenic zone using intracranial EEG

Epilepsia Open, EarlyView.
Abstract Artificial intelligence (AI) is rapidly transforming our lives. Machine learning (ML) enables computers to learn from data and make decisions without explicit instructions. Deep learning (DL), a subset of ML, uses multiple layers of neural networks to recognize complex patterns in large datasets through end‐to‐end learning.
Atsuro Daida, Yipeng Zhang, Sotaro Kanai, Richard Staba, Vwani Roychowdhury, Hiroki Nariai   +5 more
wiley   +1 more source

Differential Spectrum-Based Adaptive Regularization for NMR <i>T</i> ₂ Inversion in Noisy Data. [PDF]

ACS Omega
Cheng Y, Feng C, Zhang H, Liu T, Sun T.
europepmc   +1 more source

Research on Precise Identification of Rock Strength Based on Bolt Drilling Parameters

Energy Science &Engineering, EarlyView.
Drilling detection test platform. ABSTRACT During roadway excavation, the presence of weak interlayers and fractured rock masses significantly affects roof stability. To achieve timely and effective roadway support, it is crucial to identify and predict different rock types based on drilling signals from roof bolters.
Qiang Zhu, Sheng Biao Wang, Da Jiang Wen, Chong‐Yu Song, Kang Zhou   +4 more
wiley   +1 more source