Results 151 to 160 of about 10,118,950 (292)
Retracted: Graph Convolutional Networks for Cross-Modal Information Retrieval [PDF]
Wireless Communications and Mobile Computing
openalex +1 more source
A 3D bone scaffold with osteogenic properties and capable of hardening in vivo is developed. The scaffold is implanted in a ductile state, and a phase transformation of the ceramic induces the stiffening and strengthening of the scaffold in vivo. Abstract Calcium phosphate 3D printing has revolutionized customized bone grafting.
Miguel Mateu‐Sanz +7 more
wiley +1 more source
Cognitive-inspired xLSTM for multi-agent information retrieval. [PDF]
Liang L, Wang H, Wang K.
europepmc +1 more source
A scalable biomimetic platform transforms bioinert poly(ethylene glycol) diacrylate into neuroinstructive matrices via integrating solvent transfer‐induced phase separation, microfluidics, and 3D bioprinting. Bicontinuous, hyperbolically curved microporous networks embedded within a fibrous construct elicit rapid adhesion, robust proliferation, and ...
Prince D. Okoro +8 more
wiley +1 more source
AMSunda: A novel dataset for Sundanese information retrieval. [PDF]
Maesya A +3 more
europepmc +1 more source
A Literature Review on Patent Information Retrieval Techniques
Alok Khode, Sagar Jambhorkar
openalex +1 more source
INFORMATION RETRIEVAL: Program for personalized article retrieval system [PDF]
Myron Hatcher +2 more
openalex +1 more source
The ionic conductivity of a solid electrolyte is just the “tip of the iceberg”. There are many parameters to consider to quantify it reliably in powdered solid electrolyte samples. Abstract All‐solid‐state batteries (ASSBs) are taking the lead as the next‐generation energy storage systems, mainly to the development of new solid electrolytes with high ...
Fariza Kalyk +3 more
wiley +1 more source
ULBERT: a domain-adapted BERT model for bilingual information retrieval from Pakistan's constitution. [PDF]
Abbas Q, Nawaz W, Niazi S, Awais M.
europepmc +1 more source
Advances in integrating artificial intelligence into 3D bioprinting are systematically reviewed here. Machine learning, computer vision, robotics, natural language processing, and expert systems are examined for their roles in optimizing bioprinting parameters, real‐time monitoring, quality control, and predictive maintenance.
Joao Vitor Silva Robazzi +10 more
wiley +1 more source

