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[HTML][HTML] Climate change and coastal morphodynamics: Interactions on regional scales
Climate change and its impacts, combined with unchecked human activities, intensify
pressures on coastal environments, resulting in modification of the coastal morphodynamics …
pressures on coastal environments, resulting in modification of the coastal morphodynamics …
Machine learning in Coastal Engineering: applications, challenges, and perspectives
The integration of machine learning (ML) techniques in coastal engineering marks a
paradigm shift in how coastal processes are modeled and understood. While traditional …
paradigm shift in how coastal processes are modeled and understood. While traditional …
Retracted: Scientific programming using optimized machine learning techniques for software fault prediction to improve software quality
Abstract Retraction:[Muhammad Shafiq, Fatemah H. Alghamedy, Nasir Jamal, Tahir Kamal,
Yousef Ibrahim Daradkeh, Mohammad Shabaz, Scientific programming using optimized …
Yousef Ibrahim Daradkeh, Mohammad Shabaz, Scientific programming using optimized …
Machine learning application in modelling marine and coastal phenomena: a critical review
This study provides an extensive review of over 200 journal papers focusing on Machine
Learning (ML) algorithms' use for promoting a sustainable management of the marine and …
Learning (ML) algorithms' use for promoting a sustainable management of the marine and …
A new multi-objective model for berth allocation and quay crane assignment problem with speed optimization and air emission considerations (A case study of Rajaee …
Over the past two decades, maritime transportation and container traffic worldwide has
experienced rapid and continuous growth. With the increase in maritime transportation …
experienced rapid and continuous growth. With the increase in maritime transportation …
Rapid and nondestructive method for identification of molds growth time in wheat grains based on hyperspectral imaging technology and chemometrics
Y Sun, Z Ye, M Zhong, K Wei, F Shen, G Li… - Infrared Physics & …, 2023 - Elsevier
Mildew on wheat is a undesired quality decrease process, producing a lot of toxic
metabolites. In order to reduce economic loss and ensure the safety during wheat storage …
metabolites. In order to reduce economic loss and ensure the safety during wheat storage …
Predicting slope stability potential failure surface using machine learning algorithms
This study investigated the performance of machine learning models in predicting the FS
and slip surface. The models considered include support vector machine (SVM), random …
and slip surface. The models considered include support vector machine (SVM), random …
Optimized Machine Learning Techniques for Software Fault Prediction
Software fault prediction serves to improve testing efficiency and software quality by
enabling the early discovery of software problems. This is accomplished via improved …
enabling the early discovery of software problems. This is accomplished via improved …
Optimized Machine Learning Techniques for Software Fault Prediction
Software fault prediction serves to improve testing efficiency and software quality by
enabling the early discovery of software problems. This is accomplished via improved …
enabling the early discovery of software problems. This is accomplished via improved …
Stochastic simulation in reservoir sedimentation estimation: application in a PCH
In reservoir projects it is important to estimate when the accumulated sediments will start to
interfere with their functions. However, predicting silting is difficult because the processes …
interfere with their functions. However, predicting silting is difficult because the processes …