Directed evolution, a strategy for protein engineering, optimizes protein properties (that is, fitness) by expensive and time-consuming screening or selection of a large mutational sequence space. Machine learning-assisted directed evolution (MLDE), whic
Learning-Assisted Service: The Carwash Company Gives Customer Loyalty and Satisfaction a Steady Boost by Using Coaching, Certification, and Social Media to Develop Its Employees[ILLUSTRATION OMITTED]Salopek, Jennifer J
Fig. 4: Machine-learning-assisted wearable speaking without vocal folds. aFlow chart of the machine-learning-assisted wearable sensing-actuation system.bIllustration depicting the process of data segmentation and principal components analysis (PCA) applied to the muscle movement signal captured by the se...
Ionic liquid binary mixtures: Machine learning‐assisted modeling, solvent tailoring, process design, and optimization This work conducts a comprehensive modeling study on the viscosity, density, heat capacity, and surface tension of ionic liquid (IL)‐IL binary mixtures by... Y Chen,S Ma,Yang ...
5月18日,南京理工大学智能计算成像实验室左超教授,孙佳嵩教授,江苏省光谱成像与智能感知重点实验室陈钱教授,西安电子科技大学郜鹏教授带领的团队,在期刊 Opto-Electronic Science 发表题为 Deep learning assisted variational Hilbert quantitative phase imaging 的论文。
(3)CALL: computer-assisted language learning. If Cal or CAL deals with te aching and learning in general, then CALL de als with teaching and learning in particular. CALL especially refers to the use of a computer in the te aching or ...
It is named as dynamic opposite learning-assisted grey wolf optimizer (DOLGWO). In the first section, the background of optimization algorithms is introduced; then the GWO algorithm and dynamic opposite learning strategy are shown in the second section; the DOLGWO algorithm is given in the ...
AI - assisted learning tools can provide instant feedback to students. However, the accuracy of the feedback may not be 100% guaranteed. AI - assisted learning tools ___. A. are completely unreliable B. are a perfect replacement for teachers' feedback C. have a useful function but with ...
To this direction, the authors of this chapter used Facebook as a testbed for this research and implemented a multi-language learning application. The main focus of this chapter is on the automatic classification of Facebook users, utilizing the aforementioned application, based on their profiles....
Low-cost, efficient catalyst high-throughput screening is crucial for future renewable energy technology. Interpretable machine learning is a powerful method for accelerating catalyst design by extracting physical meaning but faces huge challenges. This