Cybersecurity in process control, operations, and supply chain

S Parker, Z Wu, PD Christofides - Computers & Chemical Engineering, 2023 - Elsevier
With the integration of computation, networking, and physical process components to
seamlessly combine hardware and software resources to improve process efficiency …

Spacecraft trajectory optimization: A review of models, objectives, approaches and solutions

A Shirazi, J Ceberio, JA Lozano - Progress in Aerospace Sciences, 2018 - Elsevier
This article is a survey paper on solving spacecraft trajectory optimization problems. The
solving process is decomposed into four key steps of mathematical modeling of the problem …

Evolutionary generative adversarial networks

C Wang, C Xu, X Yao, D Tao - IEEE Transactions on …, 2019 - ieeexplore.ieee.org
Generative adversarial networks (GANs) have been effective for learning generative models
for real-world data. However, accompanied with the generative tasks becoming more and …

Evolutionary deep learning-based energy consumption prediction for buildings

A Almalaq, JJ Zhang - ieee access, 2018 - ieeexplore.ieee.org
Today's energy resources are closer to consumers due to sustainable energy and advanced
technology. To that end, ensuring a precise prediction of energy consumption at the …

Advancements in Medical Device Software: A Comprehensive Review of Emerging Technologies and Future Trends

R Bommu - Journal of Engineering and Technology, 2022 - mzjournal.com
This comprehensive review explores the latest advancements in medical device software,
focusing on emerging technologies and future trends shaping the healthcare landscape …

[HTML][HTML] An anomaly intrusion detection for high-density internet of things wireless communication network based deep learning algorithms

EH Salman, MA Taher, YI Hammadi, OA Mahmood… - Sensors, 2022 - mdpi.com
Telecommunication networks are growing exponentially due to their significant role in
civilization and industry. As a result of this very significant role, diverse applications have …

[HTML][HTML] Improving short-term water demand forecasting using evolutionary algorithms

J Stańczyk, J Kajewska-Szkudlarek, P Lipiński… - Scientific Reports, 2022 - nature.com
Modern solutions in water distribution systems are based on monitoring the quality and
quantity of drinking water. Identifying the volume of water consumption is the main element …

[HTML][HTML] Genetic algorithms for lens design: a review

K Höschel, V Lakshminarayanan - Journal of Optics, 2019 - Springer
Genetic algorithms (GAs) have a long history of over four decades. GAs are adaptive
heuristic search algorithms that provide solutions for optimization and search problems. The …

A critical review of data science applications in resource recovery and carbon capture from organic waste

MT Zaki, LS Rowles, DA Adjeroh… - ACS Es&t …, 2023 - ACS Publications
Municipal and agricultural organic waste can be treated to recover energy, nutrients, and
carbon through resource recovery and carbon capture (RRCC) technologies such as …

[HTML][HTML] Machine learning surrogate modeling toward the design of lattice-structured heat sinks fabricated by additive manufacturing

A Suzuki, H Nakatani, M Kobashi - Materials & Design, 2023 - Elsevier
Metal additive manufacturing (AM) enables the fabrication of lattice-structured heat sinks
with enhanced heat transfer properties. The lattice structural features for enhancing heat …