Výsledky vyhledávání - "Machine Learning and Artificial Intelligence"

DeepRNA-Reg: a deep-learning based approach for comparative analysis of CLIP experiments

Autoři: Sekhon, Harshaan Kageyama, Robin Sprenkle, Neil T a další

Zdroj: RNA Biology. 22(1)

Témata: 31 Biological Sciences (for-2020), 3102 Bioinformatics and Computational Biology (for-2020), Genetics (rcdc), Machine Learning and Artificial Intelligence (rcdc), Biotechnology (rcdc), Generic health relevance (hrcs-hc), Deep Learning (mesh), MicroRNAs (mesh), Humans (mesh), High-Throughput Nucleotide Sequencing (mesh), Immunoprecipitation (mesh), Sequence Analysis, RNA (mesh), Computational Biology (mesh), Argonaute Proteins (mesh), Animals (mesh), RNA (mesh), Animals (mesh), Humans (mesh), MicroRNAs (mesh), RNA (mesh), Sequence Analysis, RNA (mesh), Immunoprecipitation (mesh), Computational Biology (mesh), High-Throughput Nucleotide Sequencing (mesh), Argonaute Proteins (mesh), Deep Learning (mesh), Differential HITS-CLIP, RNA-binding-protein (RBP), deep learning, Deep Learning (mesh), MicroRNAs (mesh), Humans (mesh), High-Throughput Nucleotide Sequencing (mesh), Immunoprecipitation (mesh), Sequence Analysis, RNA (mesh), Computational Biology (mesh), Argonaute Proteins (mesh), Animals (mesh), RNA (mesh), 0604 Genetics (for), Developmental Biology (science-metrix), 3101 Biochemistry and cell biology (for-2020), 3105 Genetics (for-2020)

Popis souboru: application/pdf

Přístupová URL adresa: https://escholarship.org/uc/item/3g2461jr
https://escholarship.org/content/qt3g2461jr/qt3g2461jr.pdf

Advances in the microbial biosynthesis of therapeutic terpenoids

Autoři: Winegar, Peter H Astolfi, Maria CT Holm, Sara F a další

Zdroj: Current Opinion in Biotechnology. 96

Témata: 31 Biological Sciences (for-2020), 3106 Industrial Biotechnology (for-2020), Bioengineering (rcdc), Machine Learning and Artificial Intelligence (rcdc), 12 Responsible Consumption and Production (sdg), 06 Biological Sciences (for), 09 Engineering (for), 10 Technology (for), Biotechnology (science-metrix), 3001 Agricultural biotechnology (for-2020), 3106 Industrial biotechnology (for-2020), 3206 Medical biotechnology (for-2020)

Popis souboru: application/pdf

Přístupová URL adresa: https://escholarship.org/uc/item/98d6p69j
https://escholarship.org/content/qt98d6p69j/qt98d6p69j.pdf

A generative adversarial network enhanced ensemble learning-based prediction model for moment improvement effect of UHPC strengthened damaged RC beams

Autoři: Taffese, Woubishet Zewdu Khodadadi, Nima Zhu, Yanping a další

Zdroj: Case Studies in Construction Materials. 23

Témata: 4005 Civil Engineering (for-2020), 40 Engineering (for-2020), Machine Learning and Artificial Intelligence (rcdc), Reinforced concrete structures, Ultra high-performance concrete, Tabular generative adversarial network, Ensemble learning, SHapley Additive exPlanations, 4005 Civil engineering (for-2020)

Popis souboru: application/pdf

Přístupová URL adresa: https://escholarship.org/uc/item/20q4z16q
https://escholarship.org/content/qt20q4z16q/qt20q4z16q.pdf

Intracoronary Optical Coherence Tomography: Technological Innovations and Clinical Implications in Cardiology

Autoři: Jiang, Yuchen Wang, Jingyi Murthy, Raksha Sreeramachandra a další

Zdroj: Current Treatment Options in Cardiovascular Medicine. 27(1)

Témata: Biomedical and Clinical Sciences, Cardiovascular Medicine and Haematology, Biomedical Imaging, Heart Disease - Coronary Heart Disease, Heart Disease, Bioengineering, Machine Learning and Artificial Intelligence, Cardiovascular, Atherosclerosis, Networking and Information Technology R&D (NITRD), 4.2 Evaluation of markers and technologies, 4.1 Discovery and preclinical testing of markers and technologies, Cardiology, Complex Lesions, Multimodality Imaging, OCT, Optical Coherence Elastography, Cardiovascular System & Hematology, Cardiovascular medicine and haematology

Popis souboru: application/pdf

Přístupová URL adresa: https://escholarship.org/uc/item/5ht883tc
https://escholarship.org/content/qt5ht883tc/qt5ht883tc.pdf

Baseflow Identification via Explainable AI With Kolmogorov‐Arnold Networks

Autoři: Liu, Chuyang Roy, Tirthankar Tartakovsky, Daniel M a další

Zdroj: Journal of Geophysical Research Machine Learning and Computation. 2(4)

Témata: 3707 Hydrology (for-2020), 46 Information and Computing Sciences (for-2020), 37 Earth Sciences (for-2020), Machine Learning and Artificial Intelligence (rcdc)

Popis souboru: application/pdf

Přístupová URL adresa: https://escholarship.org/uc/item/4dr9s952
https://escholarship.org/content/qt4dr9s952/qt4dr9s952.pdf

A foundation model for atomistic materials chemistry

Autoři: Batatia, Ilyes Benner, Philipp Chiang, Yuan a další

Zdroj: The Journal of Chemical Physics. 163(18)

Témata: 3403 Macromolecular and Materials Chemistry (for-2020), 34 Chemical Sciences (for-2020), Networking and Information Technology R&D (NITRD) (rcdc), Machine Learning and Artificial Intelligence (rcdc), Bioengineering (rcdc), Generic health relevance (hrcs-hc), 02 Physical Sciences (for), 03 Chemical Sciences (for), 09 Engineering (for), Chemical Physics (science-metrix), 34 Chemical sciences (for-2020), 40 Engineering (for-2020), 51 Physical sciences (for-2020)

Popis souboru: application/pdf

Přístupová URL adresa: https://escholarship.org/uc/item/6jf6869j
https://escholarship.org/content/qt6jf6869j/qt6jf6869j.pdf

Voltage-dependent surface IR spectra of water at gold electrodes from machine-learned ab initio dipoles

Autoři: Goldsmith, Zachary K Andrade, Marcos F Calegari Selloni, Annabella

Zdroj: The Journal of Chemical Physics. 163(17)

Témata: 34 Chemical Sciences (for-2020), 3406 Physical Chemistry (for-2020), 3407 Theoretical and Computational Chemistry (for-2020), Machine Learning and Artificial Intelligence (rcdc), Networking and Information Technology R&D (NITRD) (rcdc), Bioengineering (rcdc), 02 Physical Sciences (for), 03 Chemical Sciences (for), 09 Engineering (for), Chemical Physics (science-metrix), 34 Chemical sciences (for-2020), 40 Engineering (for-2020), 51 Physical sciences (for-2020)

Popis souboru: application/pdf

Přístupová URL adresa: https://escholarship.org/uc/item/8sq8n4nt
https://escholarship.org/content/qt8sq8n4nt/qt8sq8n4nt.pdf

Artificial Intelligence-Assisted Data Extraction With a Large Language Model: A Study Within Reviews.

Autoři: Gartlehner, Gerald Kugley, Shannon Crotty, Karen a další

Zdroj: Annals of Internal Medicine

Témata: 32 Biomedical and Clinical Sciences (for-2020), 3202 Clinical Sciences (for-2020), Machine Learning and Artificial Intelligence (rcdc), 1103 Clinical Sciences (for), 1117 Public Health and Health Services (for)

Přístupová URL adresa: https://escholarship.org/uc/item/4v89j2vr

Deep-learning-assisted disposable bronchoscopy with enhanced image quality

Autoři: Li, Ang Lei, Ming Burns, Zachary a další

Zdroj: Biomedical Optics Express. 16(11)

Témata: 32 Biomedical and Clinical Sciences (for-2020), 40 Engineering (for-2020), 4003 Biomedical Engineering (for-2020), 51 Physical Sciences (for-2020), 3212 Ophthalmology and Optometry (for-2020), 5102 Atomic, Molecular and Optical Physics (for-2020), Bioengineering (rcdc), Biomedical Imaging (rcdc), Machine Learning and Artificial Intelligence (rcdc), 0205 Optical Physics (for), 0912 Materials Engineering (for), 3212 Ophthalmology and optometry (for-2020), 4003 Biomedical engineering (for-2020), 5102 Atomic, molecular and optical physics (for-2020)

Přístupová URL adresa: https://escholarship.org/uc/item/85s305rv

Advances in artificial intelligence for spatial transcriptomics in cancer: Special focus on Yin Yang 1 (YY1) and Raf kinase inhibitor protein (RKIP)

Autoři: Dommalapati, Lekhya Guenter, Rachael Golivi, Yuvasri a další

Zdroj: Biochimica et Biophysica Acta (BBA) - Reviews on Cancer. 1880(6)

Témata: 31 Biological Sciences (for-2020), 32 Biomedical and Clinical Sciences (for-2020), 3211 Oncology and Carcinogenesis (for-2020), Bioengineering (rcdc), Cancer (rcdc), Cancer Genomics (rcdc), Machine Learning and Artificial Intelligence (rcdc), Precision Medicine (rcdc), Networking and Information Technology R&D (NITRD) (rcdc), Human Genome (rcdc), Genetics (rcdc), Cancer (hrcs-hc), Artificial intelligence, Machine learning, Personalized medicine, YY1, RKIP, cancer, Artificial intelligence, Machine learning, Personalized medicine, RKIP, YY1, cancer, 1112 Oncology and Carcinogenesis (for), Oncology & Carcinogenesis (science-metrix), 3101 Biochemistry and cell biology (for-2020), 3211 Oncology and carcinogenesis (for-2020)

Přístupová URL adresa: https://escholarship.org/uc/item/2nt2c3r3

An adaptive, data-driven multiscale approach for dense granular flows

Autoři: Siddani, B Zhang, Weiqun Nonaka, Andrew a další

Zdroj: Computer Methods in Applied Mechanics and Engineering. 446

Témata: 40 Engineering (for-2020), 4019 Resources Engineering and Extractive Metallurgy (for-2020), Machine Learning and Artificial Intelligence (rcdc), Networking and Information Technology R&D (NITRD) (rcdc), Bioengineering (rcdc), 01 Mathematical Sciences (for), 09 Engineering (for), Applied Mathematics (science-metrix), 40 Engineering (for-2020), 49 Mathematical sciences (for-2020)

Přístupová URL adresa: https://escholarship.org/uc/item/3nd793cq

Genotype Prediction from Retinal Fundus Images Using Deep Learning in Eyes with Age-Related Macular Degeneration

Autoři: Halev, Avishai Huang, Denis Rezaei, Shahbaz a další

Zdroj: Ophthalmology Science. 5(6)

Témata: 32 Biomedical and Clinical Sciences (for-2020), 3212 Ophthalmology and Optometry (for-2020), Neurodegenerative (rcdc), Eye Disease and Disorders of Vision (rcdc), Genetics (rcdc), Neurosciences (rcdc), Aging (rcdc), Macular Degeneration (rcdc), Machine Learning and Artificial Intelligence (rcdc), Networking and Information Technology R&D (NITRD) (rcdc), Bioengineering (rcdc), 2.1 Biological and endogenous factors (hrcs-rac), Eye (hrcs-hc), Age-related macular degeneration, AMD, Deep learning, Genotype pre-diction, Machine learning, AMD, Age-related macular degeneration, Deep learning, Genotype prediction, Machine learning

Popis souboru: application/pdf

Přístupová URL adresa: https://escholarship.org/uc/item/5zx464gw
https://escholarship.org/content/qt5zx464gw/qt5zx464gw.pdf

Multifidelity Emulator for Large-scale 21 cm Lightcone Images: A Few-shot Transfer Learning Approach with Generative Adversarial Network

Autoři: Diao, Kangning Mao, Yi

Zdroj: The Astrophysical Journal. 992(2)

Témata: 5109 Space Sciences (for-2020), 5107 Particle and High Energy Physics (for-2020), 5101 Astronomical Sciences (for-2020), 51 Physical Sciences (for-2020), Networking and Information Technology R&D (NITRD) (rcdc), Machine Learning and Artificial Intelligence (rcdc), 0201 Astronomical and Space Sciences (for), 0202 Atomic, Molecular, Nuclear, Particle and Plasma Physics (for), 0306 Physical Chemistry (incl. Structural) (for), Astronomy & Astrophysics (science-metrix), 5101 Astronomical sciences (for-2020), 5107 Particle and high energy physics (for-2020), 5109 Space sciences (for-2020)

Přístupová URL adresa: https://escholarship.org/uc/item/10m8d8tp

Using Diffusion Models to do Data Assimilation

Autoři: Hodyss, Daniel Morzfeld, Matthias

Zdroj: Monthly Weather Review

Témata: 37 Earth Sciences (for-2020), 3701 Atmospheric Sciences (for-2020), Networking and Information Technology R&D (NITRD) (rcdc), Machine Learning and Artificial Intelligence (rcdc), Bioengineering (rcdc), 0102 Applied Mathematics (for), 0401 Atmospheric Sciences (for), Meteorology & Atmospheric Sciences (science-metrix), 3701 Atmospheric sciences (for-2020)

Popis souboru: application/pdf

Přístupová URL adresa: https://escholarship.org/uc/item/4sd3q290
https://escholarship.org/content/qt4sd3q290/qt4sd3q290.pdf

Refining fast calorimeter simulations with a Schrödinger Bridge

Autoři: Diefenbacher, Sascha Mikuni, Vinicius Nachman, Benjamin

Zdroj: Journal of Instrumentation. 20(08)

Témata: 40 Engineering (for-2020), 51 Physical Sciences (for-2020), Machine Learning and Artificial Intelligence (rcdc), Bioengineering (rcdc), Calorimeter methods, Simulation methods and programs, 02 Physical Sciences (for), 09 Engineering (for), Nuclear & Particles Physics (science-metrix), 40 Engineering (for-2020), 51 Physical sciences (for-2020)

Popis souboru: application/pdf

Přístupová URL adresa: https://escholarship.org/uc/item/75h60751
https://escholarship.org/content/qt75h60751/qt75h60751.pdf

Quantifying Groundwater Response and Uncertainty in Beaver‐Influenced Mountainous Floodplains Using Machine Learning‐Based Model Calibration

Autoři: Wang, Lijing Babey, Tristan Perzan, Zach a další

Zdroj: Water Resources Research. 61(9)

Témata: 3707 Hydrology (for-2020), 3709 Physical Geography and Environmental Geoscience (for-2020), 37 Earth Sciences (for-2020), 3705 Geology (for-2020), Machine Learning and Artificial Intelligence (rcdc), beaver ponds, hydrologic modeling, machine learning-based model calibration, floodplain structures, uncertainty quantification, 0406 Physical Geography and Environmental Geoscience (for), 0905 Civil Engineering (for), 0907 Environmental Engineering (for), Environmental Engineering (science-metrix), 3707 Hydrology (for-2020), 4005 Civil engineering (for-2020), 4011 Environmental engineering (for-2020)

Popis souboru: application/pdf

Přístupová URL adresa: https://escholarship.org/uc/item/43f1j9m2
https://escholarship.org/content/qt43f1j9m2/qt43f1j9m2.pdf

A Comparison of AI and Population PK Models to Predict the Concentrations of Antiepileptic Drugs Using Therapeutic Drug Monitoring Records

Autoři: Chung, Tae Kyu Lee, Howard

Zdroj: Clinical and Translational Science. 18(10)

Témata: 3214 Pharmacology and Pharmaceutical Sciences (for-2020), 32 Biomedical and Clinical Sciences (for-2020), Rare Diseases (rcdc), Networking and Information Technology R&D (NITRD) (rcdc), Orphan Drug (rcdc), Machine Learning and Artificial Intelligence (rcdc), 5.1 Pharmaceuticals (hrcs-rac), Generic health relevance (hrcs-hc), Humans (mesh), Anticonvulsants (mesh), Drug Monitoring (mesh), Models, Biological (mesh), Artificial Intelligence (mesh), Prohibitins (mesh), Male (mesh), Epilepsy (mesh), Female (mesh), Adult (mesh), Middle Aged (mesh), Valproic Acid (mesh), Phenytoin (mesh), Phenobarbital (mesh), Carbamazepine (mesh), Young Adult (mesh), artificial intelligence, population pharmacokinetic model, predictive performance, Humans (mesh), Epilepsy (mesh), Valproic Acid (mesh), Phenytoin (mesh), Phenobarbital (mesh), Carbamazepine (mesh), Anticonvulsants (mesh), Drug Monitoring (mesh), Models, Biological (mesh), Artificial Intelligence (mesh), Adult (mesh), Middle Aged (mesh), Female (mesh), Male (mesh), Young Adult (mesh), Prohibitins (mesh), artificial intelligence, population pharmacokinetic model, predictive performance, Humans (mesh), Anticonvulsants (mesh), Drug Monitoring (mesh), Models, Biological (mesh), Artificial Intelligence (mesh), Prohibitins (mesh), Male (mesh), Epilepsy (mesh), Female (mesh), Adult (mesh), Middle Aged (mesh), Valproic Acid (mesh), Phenytoin (mesh), Phenobarbital (mesh), Carbamazepine (mesh), Young Adult (mesh), 1102 Cardiorespiratory Medicine and Haematology (for), 1112 Oncology and Carcinogenesis (for), 1199 Other Medical and Health Sciences (for), General Clinical Medicine (science-metrix), 3201 Cardiovascular medicine and haematology (for-2020), 3214 Pharmacology and pharmaceutical sciences (for-2020)

Popis souboru: application/pdf

Přístupová URL adresa: https://escholarship.org/uc/item/9qj6q3pt
https://escholarship.org/content/qt9qj6q3pt/qt9qj6q3pt.pdf

Pathologist-like explainable AI for interpretable Gleason grading in prostate cancer

Autoři: Mittmann, Gesa Laiouar-Pedari, Sara Mehrtens, Hendrik A a další

Zdroj: Nature Communications. 16(1)

Témata: 46 Information and Computing Sciences (for-2020), 32 Biomedical and Clinical Sciences (for-2020), 3211 Oncology and Carcinogenesis (for-2020), Urologic Diseases (rcdc), Machine Learning and Artificial Intelligence (rcdc), Prostate Cancer (rcdc), Aging (rcdc), Networking and Information Technology R&D (NITRD) (rcdc), Cancer (rcdc), Humans (mesh), Male (mesh), Prostatic Neoplasms (mesh), Neoplasm Grading (mesh), Artificial Intelligence (mesh), Pathologists (mesh), Observer Variation (mesh), Prostate (mesh), Prostate (mesh), Humans (mesh), Prostatic Neoplasms (mesh), Observer Variation (mesh), Artificial Intelligence (mesh), Male (mesh), Neoplasm Grading (mesh), Pathologists (mesh), Humans (mesh), Male (mesh), Prostatic Neoplasms (mesh), Neoplasm Grading (mesh), Artificial Intelligence (mesh), Pathologists (mesh), Observer Variation (mesh), Prostate (mesh)

Popis souboru: application/pdf

Přístupová URL adresa: https://escholarship.org/uc/item/8543h984
https://escholarship.org/content/qt8543h984/qt8543h984.pdf

Leveraging AI to advance psychological research for climate policy

Autoři: Yu, Dhara Thompson, Bill D Dubey, Rachit

Témata: Biological Psychology, Biomedical and Clinical Sciences, Neurosciences, Psychology, Machine Learning and Artificial Intelligence, Climate Action, Biological psychology

Popis souboru: application/pdf

Přístupová URL adresa: https://escholarship.org/uc/item/986575pv
https://escholarship.org/content/qt986575pv/qt986575pv.pdf

From images to detection: Machine learning for blood pattern classification

Autoři: Li, Yilin Shen, Weining

Témata: Information and Computing Sciences, Chemical Sciences, Criminology, Human Society, Machine Learning and Artificial Intelligence, Networking and Information Technology R&D (NITRD), Bloodstain pattern analysis, Feature extraction, Forensic statistics, Image processing, Random forest, XGBoost, Legal & Forensic Medicine

Popis souboru: application/pdf

Přístupová URL adresa: https://escholarship.org/uc/item/56x1x1v8
https://escholarship.org/content/qt56x1x1v8/qt56x1x1v8.pdf