Results 161 to 170 of about 30,075 (285)

A survey on deep reinforcement learning architectures, applications and emerging trends

IET Communications, EarlyView., 2022
Abstract From a future perspective and with the current advancements in technology, deep reinforcement learning (DRL) is set to play an important role in several areas like transportation, automation, finance, medical and in many more fields with less human interaction.
Surjeet Balhara, Nishu Gupta, Ahmed Alkhayyat, Isha Bharti, Rami Q. Malik, Sarmad Nozad Mahmood, Firas Abedi   +6 more
wiley   +1 more source

A recurrent neural network for soft sensor development using CHO stable pools in fed‐batch process for SARS‐CoV‐2 spike protein production as a vaccine antigen

Biotechnology Progress, EarlyView.
Abstract Fed‐batch recombinant therapeutic protein (RTP) production processes utilizing Chinese Hamster Ovary (CHO) cells can take a long period of time (>10 days). Within this period, not all critical features may be measured routinely, and in fact, some are only measured once the process is terminated, complicating decision making.
Sebastian‐Juan Reyes, Robert Voyer, Yves Durocher, Olivier Henry, Phuong Lan Pham   +4 more
wiley   +1 more source

Modeling Exact Frequency-Energy Distribution for Quakes by a Probabilistic Cellular Automaton. [PDF]

Entropy (Basel), 2023
Białecki M, Gałka M, Bagchi A, Gulgowski J.   +3 more
europepmc   +1 more source

Immunosuppressive JAG2+ tumor‐associated neutrophils hamper PD‐1 blockade response in ovarian cancer by mediating the differentiation of effector regulatory T cells

Cancer Communications, EarlyView.
Abstract Background Tumor‐associated neutrophils (TANs) play a critical role in modulating immune responses and exhibit significant heterogeneity. Our previous study demonstrated that jagged canonical Notch ligand 2 (JAG2)+ TANs were associated with an immunosuppressive microenvironment in high‐grade serous ovarian cancer (HGSOC), but the underlying ...
Chenyang Wang, Moran Yang, Yujing Zhong, Kankan Cao, Xueling Wang, Chen Zhang, Yiying Wang, Mengdi He, Jiaqi Lu, Guodong Zhang, Yan Huang, Haiou Liu   +11 more
wiley   +1 more source

Predicting Liquid Organic Hydrogen Carrier Saturation in Dehydrogenation Cell Gas Diffusion Layers for Hydrogen Storage

ChemCatChem, EarlyView.
The influence of gas diffusion layer (GDL) microstructures on mass transport and methylcyclohexane saturation (MCH) in a dehydrogenation cell was investigated using pore network modeling. We reveal that GDLs with larger pore diameters (dpore) and lower tortuosity (τ) enable enhanced MCH invasion, thereby improving reactant concentration at the catalyst.
Aida Farsi, Lijun Zhu, Tess Seip, Aimy Bazylak   +3 more
wiley   +1 more source

Restricted Tweedie stochastic block models

Canadian Journal of Statistics, EarlyView.
Abstract The stochastic block model (SBM) is a widely used framework for community detection in networks, where the network structure is typically represented by an adjacency matrix. However, conventional SBMs are not directly applicable to an adjacency matrix that consists of nonnegative zero‐inflated continuous edge weights.
Jie Jian, Mu Zhu, Peijun Sang
wiley   +1 more source

A Game of Life with dormancy. [PDF]

Proc Biol Sci
Nevermann DH, Gros C, Lennon JT.
europepmc   +1 more source

Human Stem Cells for Ophthalmology: Recent Advances in Diagnostic Image Analysis and Computational Modelling. [PDF]

Curr Stem Cell Rep, 2023
Wadkin LE, Makarenko I, Parker NG, Shukurov A, Figueiredo FC, Lako M.   +5 more
europepmc   +1 more source

Clinical validation of a real‐time machine learning‐based system for the detection of acute myeloid leukemia by flow cytometry

Cytometry Part B: Clinical Cytometry, EarlyView.
Abstract Machine‐learning (ML) models in flow cytometry have the potential to reduce error rates, increase reproducibility, and boost the efficiency of clinical labs. While numerous ML models for flow cytometry data have been proposed, few studies have described the clinical deployment of such models.
Lauren M. Zuromski, Jacob Durtschi, Aimal Aziz, Jeffrey Chumley, Mark Dewey, Paul English, Muir Morrison, Keith Simmon, Blaine Whipple, Brendan O'Fallon, David P. Ng   +10 more
wiley   +1 more source

The Dirac Equation, Mass and Arithmetic by Permutations of Automaton States. [PDF]

Entropy (Basel)
Elze HT.
europepmc   +1 more source