Challenges and opportunities in carbon capture, utilization and storage: A process systems engineering perspective
Carbon capture, utilization, and storage (CCUS) is a promising pathway to decarbonize
fossil-based power and industrial sectors and is a bridging technology for a sustainable …
fossil-based power and industrial sectors and is a bridging technology for a sustainable …
Artificial intelligence and machine learning in precision medicine: A paradigm shift in big data analysis
The integration of artificial intelligence in precision medicine has revolutionized healthcare
delivery. Precision medicine identifies the phenotype of particular patients with less-common …
delivery. Precision medicine identifies the phenotype of particular patients with less-common …
The Potential of Machine Learning for Enhancing CO2 Sequestration, Storage, Transportation, and Utilization-based Processes: A Brief Perspective
In the paper, we present a review of different types of CO2 capture, storage, transportation,
and utilization (CCSTU) processes. We have also reviewed their further development by …
and utilization (CCSTU) processes. We have also reviewed their further development by …
Machine learning and deep learning in data-driven decision making of drug discovery and challenges in high-quality data acquisition in the pharmaceutical industry
SA Kumar, TD Ananda Kumar… - Future Medicinal …, 2022 - Taylor & Francis
Predicting novel small molecule bioactivities for the target deconvolution, hit-to-lead
optimization in drug discovery research, requires molecular representation. Previous reports …
optimization in drug discovery research, requires molecular representation. Previous reports …
Executive summary of the artificial intelligence in surgery series
As opportunities for artificial intelligence to augment surgical care expand, the
accompanying surge in published literature has generated both substantial enthusiasm and …
accompanying surge in published literature has generated both substantial enthusiasm and …
[HTML][HTML] Integrated clinical environment security analysis using reinforcement learning
Many communication standards have been proposed recently and more are being
developed as a vision for dynamically composable and interoperable medical equipment …
developed as a vision for dynamically composable and interoperable medical equipment …
Машинное обучение в диагностике и лечении офтальмологических заболеваний
ПВ Глизница, ХП Тахчиди, СН Светозарский… - Head and Neck/Голова …, 2022 - elibrary.ru
Машинное обучение-это раздел искусственного интеллекта, который направлен на
приспособление компьютерных алгоритмов к обучению. Способность решать задачи …
приспособление компьютерных алгоритмов к обучению. Способность решать задачи …
Reinforcement Learning for Healthcare: From Model Development to Deployment
J Yao - 2022 - search.proquest.com
Reinforcement Learning (RL) is a subfield of Machine Learning (ML) focuses on how agents
learn to make optimal decisions over time to achieve particular goals. Given its emphasis on …
learn to make optimal decisions over time to achieve particular goals. Given its emphasis on …