Results 251 to 260 of about 4,646,261 (335)

Long‐Tea‐CLIP: An Expert‐Level Multimodal AI Framework for Fine‐Grained Green Tea Grading Across Five Sensory Dimensions

Advanced Science, EarlyView.
Long‐Tea‐CLIP (Contrastive Language‐Image Pre‐training) presents a multimodal AI framework that integrates visual, metabolomic, and sensory knowledge to grade green tea across appearance, soup color, aroma, taste, and infused leaf. By combining expert‐guided modeling with CLIP‐supervised learning, the system delivers fine‐grained quality evaluation and
Yanqun Xu, Zhengfang Xue, Qing Luo, Xu Liu, Yongquan Xu, Jing Huang, Xingcai Zhang, Xinyuan Zhang, Zhonghua Liu, Zisheng Luo   +9 more
wiley   +1 more source

Mutational signature-based classification uncovers emerging oral cancer subtypes with distinct molecular patterns. [PDF]

Int J Oral Sci
Deneuve S, Fervers B, Bruno JS, Bach E, Senkin S, Goldman-Lévy G, Carreira C, Laklouk I, Hu R, Bouaoun L, Pérol O, Chavanel B, Lu L, Lozar T, Gheit T, Lambert PF, Coste I, Renno T, Zavadil J, Virard F.   +19 more
europepmc   +1 more source

Digital Biopsy and Network Analysis of Dynamic [⁶⁸Ga]Ga-FAPI-46 Data in Patients with Malignant and Benign Pancreatic Lesions. [PDF]

J Nucl Med
Röhrich M, Glatting FM, Geisinger M, Spektor AM, Buchholz HG, Wessendorf J, von Goetze I, Hoppner J, Liermann J, Knoll M, Lang M, Heger U, Schreckenberger M, Loos M, Tavares A, Herfarth K, Debus J, Haberkorn U, Macaskill MG.   +18 more
europepmc   +1 more source

Alcohol-Related Risk, Depressive Symptoms, HRQoL, and Coping Phenotypes in Head-and-Neck Cancer: A Multicenter Cross-Sectional Study Stratified by Clinical Stage. [PDF]

Medicina (Kaunas)
Hut AR, Iovanescu G, Boia ER, Horhat DI, Dumitru AI, Galant R, Rosca C, Kis AM, Balica NC.   +8 more
europepmc   +1 more source

Magnetoencephalography Source Connectivity Pipeline Reveals Long-Range Connectivity in Audio-Visual Integration. [PDF]

Eur J Neurosci
Bornfleth H, Cho JH, Rusiniak M, Kornwebel O, Xu W, Hämäläinen J, Spangler R.   +6 more
europepmc   +1 more source

An efficient prediction based data collection method for wireless sensor networks using hybrid fuzzy clustering and optimized deep maxout neural networks. [PDF]

Sci Rep
Padmini Devi B, Gunapriya D, Sivaranjani S, Gomathi S.   +3 more
europepmc   +1 more source

Some of the next articles are maybe not open access.

Related searches:

Cluster headache and head trauma: Is there an association?

Current Pain and Headache Reports, 2007
This article discusses what is known of and written regarding the possible association of cluster headache and head trauma. There is additional discussion of conditions other than direct head trauma that are also seen in association with cluster headache.
exaly   +3 more sources

VANET Clustering Based on Weighted Trusted Cluster Head Selection

2020 International Wireless Communications and Mobile Computing (IWCMC), 2020
VANET is a spontaneous creation of a wireless network among vehicles to exchange data. Clustering is one of the most common networking protocols for data propagation in those networks. The application of the clustering algorithm is effective in VANET because the algorithm makes it a more robust and scalable network. However, due to the high mobility of
Grace Khayat, Constandinos X. Mavromoustakis, George Mastorakis, Jordi Mongay Batalla, Hoda W. Maalouf, Evangelos Pallis   +5 more
openaire   +2 more sources