Results 131 to 140 of about 5,075,844 (278)

Petal to the metal: The slow road to automating large‐scale phenology labeling for herbarium specimens

Applications in Plant Sciences, EarlyView.
Abstract Premise Herbarium specimens represent critical historical records of plant phenology, yet automating annotation of reproductive structures remains challenging given the diversity of floral morphologies, specimen age and quality, and image quality.
Erin L. Grady, Raphael LaFrance, Daijiang Li, Russell Dinnage, Ellen G. Denny, John Deck, Robert P. Guralnick   +6 more
wiley   +1 more source

Cryo‐EM Analysis of Adenovirus Vector Reveals Purification Conditions Leading to Loss of Viral Fiber Proteins and Reduced Infectivity

Biotechnology and Bioengineering, EarlyView.
ABSTRACT Vaccines and gene therapies require efficient delivery of genetic material to host cells. Viral vectors leverage viruses' ability to enter host cells to achieve this. Following the SARS‐CoV‐2 vaccine and novel gene therapies that utilize adenovirus vectors, there has been an increase in the demand for large‐scale production of vectors.
Betsy Widdicombe, Joseph D. Barritt, Nichakorn Pipatpadungsin, Braulio Carrillo Sanchez, Dale Stibbs, Lisa Cooper, Sarah L. Rouse, Daniel G. Bracewell   +7 more
wiley   +1 more source

CCC-GPU: a graphics processing unit (GPU)-accelerated nonlinear correlation coefficient for large-scale transcriptomic analyses. [PDF]

Bioinformatics
Zhang H, Fotso KT, Subirana-Granés M, Pividori M.   +3 more
europepmc   +1 more source

A Graph‐Based Generative Artificial Intelligence Methodology for Autocorrection of Utility‐System P&IDs

Chemie Ingenieur Technik, EarlyView.
This work explores generative AI for automated revision of Piping and Instrumentation Diagrams (P&IDs). We frame P&ID correction as a translation problem, converting attributed P&ID graphs into sequences and learning revisions with a transformer‐based model.
Lukas Schulze Balhorn, Dominik P. Goldstein, Niels Seijsener, Kevin Dao, Ge H. M. Driessen, Artur M. Schweidtmann   +5 more
wiley   +1 more source

Efficient numerical approaches with accelerated graphics processing unit (GPU) computations for Poisson problems and Cahn-Hilliard equations. [PDF]

AIMS Math
Orizaga S, Fabien M, Millard M.
europepmc   +1 more source

Dynamic geo‐hydrogeological monitoring‐driven situational awareness for real‐time floor water inrush risk prediction in deep mining

Deep Underground Science and Engineering, EarlyView.
The fused data extracted from the distributed monitoring system as the data basis, combined with dynamic geological data, are imported into a deep learning model. As the geological conditions of mining and excavation change, the risk of water inrush at the working face is retrieved in real time.
Yongjie Li, Huiyong Yin, Fangying Dong, Tao Wu, Chao Zhang   +4 more
wiley   +1 more source

Large-scale semidefinite programming with graphics processing units. [PDF]

Proc Natl Acad Sci U S A
Han Q, Lin Z, Liu H, Chen C, Deng Q, Ge D, Ye Y.   +6 more
europepmc   +1 more source

Quantifying and Disclosing the Environmental Footprint of AI in Research: Life Cycle-Informed Framework and Open-Access Calculator Development Study. [PDF]

JMIR AI
Mozafari K, Ma Y, Amoei M, Lebouche B, Osmanlliu E, Poenaru D.   +5 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

Environmental Control for Edible Fungi Cultivation Based on Temporal Information and Deep Learning

Food Bioengineering, EarlyView.
ABSTRACT Currently, there are still prevalent issues in greenhouse environmental regulation, such as response lag, low control accuracy, and difficulty in coping with sudden environmental disturbances. To achieve high‐precision and dynamic control of the edible fungi cultivation environment, this study proposes an edible fungi environmental control ...
Xiangyan Wang, Shuangcheng Huang, Qingbo Lu, Xinyi Guo   +3 more
wiley   +1 more source