Results 181 to 190 of about 2,611,781 (277)
Explainability of Protein Deep Learning Models. [PDF]
Fazel Z+3 more
europepmc +1 more source
Representation Learning: A Unified Deep Learning Framework for Automatic Prostate MR Segmentation
Shu Liao+3 more
openalex +1 more source
Integrating polyethyleneimine and carbon black into polyurethane enhances electron transport and mechanical durability. The resulting sensor achieves significantly improved electrical signal and sensitivity, enabling efficient machine learning‐based tactile signal recognition in bionic applications.
Xiangkun Bo+4 more
wiley +1 more source
Performance validation of deep-learning-based approach in stool examination. [PDF]
Corpuz KDF+9 more
europepmc +1 more source
Unsupervised Deep Feature Learning for Deformable Registration of MR Brain Images
Guorong Wu+5 more
openalex +1 more source
This review discusses cellulose‐based hydrogels technology, analyzes their application progress in physiological signal monitoring, and explores the effects of pretreatment, crosslinking, and molding methods on gel performance, to provide valuable insights into the efficient utilization of plant fibers and the environmentally friendly development of ...
Zhiming Wang+8 more
wiley +1 more source
An attack detection method based on deep learning for internet of things. [PDF]
Yu Y, Fu Y, Liu T, Wang K, An Y.
europepmc +1 more source
Bipolar Hydrogen Production by Hybrid Water Electrolysis
This review focuses on the recent advances in uniqueness bipolar H2 production from the oxidation of representative small molecules, including 5‐hydroxymethylfurfural, formaldehyde, alcohols, and N‐heterocycle amides. The target electrocatalysts and the underlying mechanisms are discussed in respect to specific substrate oxidation.
Jiachen Li+5 more
wiley +1 more source
Deep learning for automated grading of radiographic sacroiliitis. [PDF]
Meng X+7 more
europepmc +1 more source
This perspective provides an overview of the growing interest in utilizing various gasotransmitters—small gaseous signaling molecules namely nitric oxide (NO), carbon monoxide (CO), and hydrogen sulfide (H2S)—for several therapeutic applications, with emphasis on the potential use of porous materials as carriers to provide safe and controlled local ...
Rosana V. Pinto+2 more
wiley +1 more source