Results 211 to 220 of about 6,737,352 (322)

License plate recognition methodology in complex scenarios based on CSCM-YOLOv8 and CSM-LPRNet. [PDF]

PLoS One
Xiong W, Cao L, Yan D, Jiang Y, Zhang G, Wang Y, Huang X, Liu L.   +7 more
europepmc   +1 more source

Deep-learning based representation and recognition for genome variants—from SNVs to structural variants

Songbo Wang, Kai Ye
openalex   +1 more source

Speaker-independent recognition of isolated words using clustering techniques [PDF]

, 1978
L. R. Rabiner, S. Levinson, A. E. Rosenberg   +2 more
openalex   +1 more source

Emerging role of ARHGAP29 in melanoma cell phenotype switching

Molecular Oncology, EarlyView.
This study gives first insights into the role of ARHGAP29 in malignant melanoma. ARHGAP29 was revealed to be connected to tumor cell plasticity, promoting a mesenchymal‐like, invasive phenotype and driving tumor progression. Further, it modulates cell spreading by influencing RhoA/ROCK signaling and affects SMAD2 activity. Rho GTPase‐activating protein
Beatrice Charlotte Tröster, Melanie Kappelmann‐Fenzl, Anja Katrin Bosserhoff, Nicole Rachinger   +3 more
wiley   +1 more source

Radar HRRP Sequence Target Recognition Based on a Lightweight Spatiotemporal Fusion Network. [PDF]

Sensors (Basel)
Li X, Su Y, Zhao X, Yin J, Yang J.
europepmc   +1 more source

Gut microbiota diversity is prognostic in metastatic hormone receptor‐positive breast cancer patients receiving chemotherapy and immunotherapy

Molecular Oncology, EarlyView.
In this exploratory study, we investigated the relationship between the gut microbiota and outcome in patients with metastatic hormone receptor‐positive breast cancer, treated in a randomized clinical trial with chemotherapy alone or chemotherapy in combination with immune checkpoint blockade.
Andreas Ullern, Kristian Holm, Nikolai Kragøe Andresen, Andreas Hagen Røssevold, Corinna Bang, Bjørn Naume, Johannes R. Hov, Jon Amund Kyte   +7 more
wiley   +1 more source

Does the Experience of Remembering Differentially Influence the Factual Accuracy of Recognition, and Confidence in Its Accuracy? [PDF]

J Cogn
Windsor PM, Dering BR, Donaldson DI.
europepmc   +1 more source

Human Activity Recognition

, 2020
Ms. Deep Shikha, Rohan Kumar, Shivam Aggarwal, Shrey Jain   +3 more
openalex   +1 more source

3D Object Recognition Based on Point Clouds in Underwater Environment with Global Descriptors: A Survey [PDF]

, 2019
Khadidja Himri, Pere Ridao, Nuno Gracias
openalex   +1 more source

Modeling hepatic fibrosis in TP53 knockout iPSC‐derived human liver organoids

Molecular Oncology, EarlyView.
This study developed iPSC‐derived human liver organoids with TP53 gene knockout to model human liver fibrosis. These organoids showed elevated myofibroblast activation, early disease markers, and advanced fibrotic hallmarks. The use of profibrotic differentiation medium further amplified the fibrotic signature seen in the organoids.
Mustafa Karabicici, Soheil Akbari, Ceyda Caliskan, Canan Celiker, Ozden Oz, Leman Binokay, Gökhan Karakulah, Serif Senturk, Esra Erdal   +8 more
wiley   +1 more source