Results 161 to 170 of about 390,079 (317)

SEIR‐driven semantic integration framework: Internet of Things‐enhanced epidemiological surveillance in COVID‐19 outbreaks using recurrent neural networks [PDF]

Saket Sarin, Sunil K. Singh, Sudhakar Kumar, Shivam Goyal, Brij B. Gupta, Varsha Arya, Kwok Tai Chui   +6 more
openalex   +1 more source

Harnessing Large Language Models to Advance Microbiome Research: From Sequence Analysis to Clinical Applications

Advanced Intelligent Discovery, EarlyView.
Large language models are transforming microbiome research by enabling advanced sequence profiling, functional prediction, and association mining across complex datasets. They automate microbial classification and disease‐state recognition, improving cross‐study integration and clinical diagnostics.
Jieqi Xing, He Wang, Yangyang Sun, Xiaoquan Su, Shunyao Wu   +4 more
wiley   +1 more source

Semantic Integration Demands Modulate Large-Scale Network Interactions in the Brain. [PDF]

Hum Brain Mapp
Nieberlein L, Martin S, Williams KA, Gussew A, Cyriaks SD, Scheer M, Rampp S, Prell J, Hartwigsen G.   +8 more
europepmc   +2 more sources

CrossMatAgent: AI‐Assisted Design of Manufacturable Metamaterial Patterns via Multi‐Agent Generative Framework

Advanced Intelligent Discovery, EarlyView.
CrossMatAgent is a multi‐agent framework that combines large language models and diffusion‐based generative AI to automate metamaterial design. By coordinating task‐specific agents—such as describer, architect, and builder—it transforms user‐provided image prompts into high‐fidelity, printable lattice patterns.
Jie Tian, Martin Taylor Sobczak, Dhanush Patil, Jixin Hou, Lin Pang, Arunachalam Ramanathan, Libin Yang, Xianyan Chen, Yuval Golan, Xiaoming Zhai, Hongyue Sun, Kenan Song, Xianqiao Wang   +12 more
wiley   +1 more source

Integration of semantic verication into Java compilers

Моделирование и анализ информационных систем, 2010
This paper introduces a method for static semantic analysis of source codes at com- pilation time directly within standard compilers. The method is implemented via unied integration with Java compilers to get the full access to Abstract Syntax Tree (AST)
A. V. Klepinin, A. A. Melentyev
doaj  

The Data Distillery: A Graph Framework for Semantic Integration and Querying of Biomedical Data [PDF]

Taha Mohseni Ahooyi, Benjamin Stear, John K. Simmons, Vincent T. Metzger, Praveen Kumar, John Erol Evangelista, Daniel Clarke, Zhuorui Xie, Hee-Su Kim, Sherry L. Jenkins, Mano R. Maurya, Srinivasan Ramachandran, Eoin Fahy, Fahim T. Imam, Natallia Kokash, Earnshaw Matthew, Robert Fullem, Dubravka Jevtic, Aleks Mihajlovic, Michael Tiemeyer, Thomas Gillepsie, Clara Bakker, Andrew J. Schroeder, Julia Markowski, Jared L. Nedzel, Dorothy Hill, James G. Terry, Christopher Nemarich, Peter J. Park, Kristin Ardlie, Jeet Vora, Raja Mazumder, René Ranzinger, Bernard de Bono, Shankar Subramaniam, Jeffrey S. Grethe, Jeremy J. Yang, Christophe G Lambert, Adam C. Resnick, Aleksandar Milosavljevic, Avi Ma’ayan, Jonathan C. Silverstein, Deanne Taylor, Deanne M. Taylor   +43 more
openalex   +1 more source

The Necessity of Dynamic Workflow Managers for Advancing Self‐Driving Labs and Optimizers

Advanced Intelligent Discovery, EarlyView.
We assess the maturity and integration readiness of key methodologies for Materials Acceleration Platforms, highlighting the need for dynamic workflow managers. Demonstrating this, we integrate PerQueue into a color‐mixing robot, showing how flexible orchestration improves coordination and optimization.
Simon K. Steensen, Patrick W. V. Butler, Jesper R. Pedersen, Nis Fisker‐Bødker, Tejs Vegge, Jin Hyun Chang, Ivano E. Castelli   +6 more
wiley   +1 more source

An approach for semantic integration of heterogeneous data sources. [PDF]

PeerJ Comput Sci, 2020
Fusco G, Aversano L.
europepmc   +1 more source

Autonomous Machine Learning‐Based Classification and Arrangement of Submillimeter Objects Using a Capillary Force Gripper

Advanced Intelligent Discovery, EarlyView.
This study presents an automated system integrating a capillary force gripper and machine learning‐based object detection for sorting and placing submillimeter objects. The system achieved stable and simultaneous manipulation of four object types, with an average task time of 86.0 seconds and a positioning error of 157 ± 84 µm, highlighting its ...
Satoshi Ando, Naoto Watanabe, Chihiro Sekine, Shogen Sekiguchi, Ohmi Fuchiwaki   +4 more
wiley   +1 more source

A causal role for the cerebellum in semantic integration: a transcranial magnetic stimulation study. [PDF]

Sci Rep, 2020
Gatti D, Van Vugt F, Vecchi T.
europepmc   +1 more source