Predicting aggregate morphology of sequence-defined macromolecules with recurrent neural networks
Self-assembly of dilute sequence-defined macromolecules is a complex phenomenon in
which the local arrangement of chemical moieties can lead to the formation of long-range …
which the local arrangement of chemical moieties can lead to the formation of long-range …
Predicting cost of defects for segmented products and customers using ensemble learning
Due to technological advances, Big Data Analytics (BDA) has become increasingly
important over the last few years. This has led companies to evolve BDA capabilities (BDAC) …
important over the last few years. This has led companies to evolve BDA capabilities (BDAC) …
An open source-based real-time data processing architecture framework for manufacturing sustainability
Currently, the manufacturing industry is experiencing a data-driven revolution. There are
multiple processes in the manufacturing industry and will eventually generate a large …
multiple processes in the manufacturing industry and will eventually generate a large …
An integrated machine learning: Utility theory framework for real-time predictive maintenance in pumping systems
RM Khorsheed, OF Beyca - Proceedings of the Institution of …, 2021 - journals.sagepub.com
Bearings are the most widely used mechanical parts in rotating machinery under high load
and high rotational speeds. Operating continuously under such harsh conditions, wear and …
and high rotational speeds. Operating continuously under such harsh conditions, wear and …
Computational statistics and machine learning techniques for effective decision making on student's employment for real-time
The present study accentuated a hybrid approach to evaluate the impact, association and
discrepancies of demographic characteristics on a student's job placement. The present …
discrepancies of demographic characteristics on a student's job placement. The present …
An optimum tea fermentation detection model based on deep convolutional neural networks
Tea is one of the most popular beverages in the world, and its processing involves a number
of steps which includes fermentation. Tea fermentation is the most important step in …
of steps which includes fermentation. Tea fermentation is the most important step in …
Combined transfer and active learning for high accuracy music genre classification method
C Chen, X Steven - 2021 IEEE 2nd international conference on …, 2021 - ieeexplore.ieee.org
Music genre classification system has been widely used by commercial music apps or
professional music systems. At the same time, the growing complexity of genres and the …
professional music systems. At the same time, the growing complexity of genres and the …
Prediction of fatigue crack damage using in-situ scanning electron microscopy and machine learning
J Zhou, Y Zhang, N Wang, W Gao, L Tang… - International Journal of …, 2025 - Elsevier
Nickel-based single crystal superalloys, as engine blade materials, are prone to fatigue
damage due to repeated startups and shutdowns. Therefore, monitoring and quantitatively …
damage due to repeated startups and shutdowns. Therefore, monitoring and quantitatively …
Assessment of Porosity Defects in Ingot Using Machine Learning Methods during Electro Slag Remelting Process
G Zhang, Y Hu, D Hou, D Yang, Q Zhang, Y Hu, X Liu - Metals, 2022 - mdpi.com
The porosity defects in the ingot, which are caused by moisture absorption in slag during the
electroslag remelting process, deserve the researcher's attention in the summer wet season …
electroslag remelting process, deserve the researcher's attention in the summer wet season …
(SDGFI) Student's Demographic and Geographic Feature Identification Using Machine Learning Techniques for Real-Time Automated Web Applications
Nowadays, Google Forms is becoming a cutting-edge tool for gathering research data in the
educational domain. Several researchers are using real-time web applications to collect the …
educational domain. Several researchers are using real-time web applications to collect the …