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1

Appendix B. Introduction to TF 2
Angular and Deep Learning Pocket Primer. Dec 06, 2024

Buch
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2

Python for TensorFlow pocket primer
Campesato, Oswald

Computing and Computers
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3

TensorFlow 2 pocket primer
Campesato, Oswald

Computing and Computers
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4

Abstracts.
Journal of the Endocrine Society; 2025 Supplement, Vol. 9, pA1-A1322, 3707p

Fachzeitschrift
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5

Quantifying the thickness of WTe2 using atomic-resolution STEM simulations and supervised machine learning.
Dihingia, Nikalabh ; Vázquez-Lizardi, Gabriel A. ; Wu, Ryan J. ; et al.
Journal of Chemical Physics; 3/7/2024, Vol. 160 Issue 9, p1-10, 10p

SUPERVISED learning ARTIFICIAL neural networ... SCANNING transmission el... ELECTRON energy loss spe... ENGINEERING standards ATOMIC structure …
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6

How the technologies behind self‐driving cars, social networks, ChatGPT, and DALL‐E2 are changing structural biology.
Bochtler, Matthias
BioEssays; Jan2025, Vol. 47 Issue 1, p1-19, 19p

ARTIFICIAL neural networ... LANGUAGE models PROTEIN structure predic... COMPUTER vision CONVOLUTIONAL neural net... DEEP learning
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7

Performance of machine learning models for predicting high-severity symptoms in multiple sclerosis.
Roy, Subhrajit ; Mincu, Diana ; Proleev, Lev ; et al.
Scientific Reports; 5/25/2025, Vol. 15 Issue 1, p1-12, 12p

MACHINE learning SYMPTOMS MAGNETIC resonance imagi... MACHINE performance FATIGUE (Physiology)
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8

Automatic Segmentation of Periodontal Tissue Ultrasound Images with Artificial Intelligence: A Novel Method for Improving Dataset Quality.
Chifor, Radu ; Hotoleanu, Mircea ; Marita, Tiberiu ; et al.
Sensors (14248220); Oct2022, Vol. 22 Issue 19, p7101-7101, 20p

ARTIFICIAL intelligence IMAGE segmentation ULTRASONIC imaging ARTIFICIAL neural networ... CONVOLUTIONAL neural net... PERIODONTAL pockets
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9

Microbiological and molecular profile of furcation defects in a population with untreated periodontitis.
Santamaria, Pasquale ; Jin, Yi ; Ghuman, Mandeep ; et al.
Journal of Clinical Periodontology; Nov2024, Vol. 51 Issue 11, p1421-1432, 12p

ITALY GINGIVA PERIODONTAL disease MICROBIOTA TISSUE inhibitors of met... RNA …
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10

Predicting nosocomial pneumonia of patients with acute brain injury in intensive care unit using machine-learning models.
Pan, Junchen ; Yue, Zhen ; Ji, Jing ; et al.
Frontiers in Medicine; 2025, p1-9, 9p

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11

A beginner's approach to deep learning applied to VS and MD techniques.
D'Hondt, Stijn ; Oramas, José ; De Winter, Hans
Journal of Cheminformatics; 4/8/2025, Vol. 17 Issue 1, p1-44, 44p

PHYSICAL & theoretical c... COMPUTATIONAL chemistry DRUG discovery VIRTUAL high-throughput... CHEMICAL models DEEP learning
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12

Program and Proceedings, The Nebraska Academy of Sciences 1880-2025: 145th Anniversary Year, One Hundred-Thirty-Fifth Annual Meeting.
Nebraska Academy of Sciences Program & Proceedings; 2025, p1-166, 166p

ANNUAL meetings OUTREACH programs VOLUNTEERS AFTER school programs LIDAR
Konferenz
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13

IMPLEMENTACIÓN DE UN PROTOTIPO PARA EL RECONOCIMIENTO DE GESTOS DE UNA MANO UTILIZANDO UNA RED NEURONAL ARTIFICIAL (IMPLEMENTATION OF A PROTOTYPE FOR THE RECOGNITION OF HAND GESTURES USING AN ARTIFICIAL NEURAL NETWORK)
Ramírez Vidal, Luis Javier ; Santamaría Gómez, Rafael Alejandro ; Vázquez Ávila, José Luis ; et al.
Pistas Educativas; Vol. 44, Núm. 144 (2023): Número semestral (enero-junio 2023) ; 2448-847X ; 1405-1249

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14

Should Artificial Intelligence Play a Durable Role in Biomedical Research and Practice?
Bongrand, Pierre
International Journal of Molecular Sciences; Dec2024, Vol. 25 Issue 24, p13371, 36p

MACHINE learning ARTIFICIAL intelligence DEEP learning COMPUTER simulation MEDICAL research
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15

2024 Annual Meeting of the American Society for Bone and Mineral Research, September 27-30, 2024.
Journal of Bone & Mineral Research; 2024 Supplement, Vol. 39, pi1-i406, 406p

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16

Automated Segmentation of Optical Coherence Tomography Images of the Human Tympanic Membrane Using Deep Learning.
Oghalai, Thomas P. ; Long, Ryan ; Kim, Wihan ; et al.
Algorithms; Sep2023, Vol. 16 Issue 9, p445, 13p

DEEP learning TYMPANIC membrane CONVOLUTIONAL neural net... MACHINE learning OPTICAL coherence tomogr... COMPUTER-assisted image... …
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17

Characterization of RNA polymerase II trigger loop mutations using molecular dynamics simulations and machine learning.
Dutagaci, Bercem ; Duan, Bingbing ; Qiu, Chenxi ; et al.
PLoS Computational Biology; 3/22/2023, Vol. 19 Issue 3, p1-27, 27p, 6 Graphs

RNA polymerase II MOLECULAR dynamics MACHINE learning MACHINE dynamics LETHAL mutations RNA polymerases
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18

PAK6 rescues pathogenic LRRK2-mediated ciliogenesis and centrosomal cohesion defects in a mutation-specific manner.
Iannotta, Lucia ; Fasiczka, Rachel ; Favetta, Giulia ; et al.
Cell Death & Disease; Oct2024, Vol. 15 Issue 10, p1-14, 14p

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19

Thematic poster session (TPS).
Allergy; Oct2024 Supplement 1, Vol. 79, p358-904, 547p

COUGH MILK allergy PULMONARY aspergillosis NUCLEOTIDE sequencing GREENHOUSE gases ASTHMATICS
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20

Deep learning can predict subgenome dominance in ancient but not in neo/synthetic polyploidized genomes.
Guo, Zhongwei ; Zhang, Kang ; Cai, Chengcheng ; et al.
Plant Journal; Oct2024, Vol. 120 Issue 1, p174-186, 13p

CONVOLUTIONAL neural net... PHENOMENOLOGICAL biology GENE expression PROMOTERS (Genetics) NUCLEOTIDE sequence DEEP learning
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