Deep learning for automatic vision-based recognition of industrial surface defects: a survey

M Prunella, RM Scardigno, D Buongiorno… - IEEE …, 2023 - ieeexplore.ieee.org
Automatic vision-based inspection systems have played a key role in product quality
assessment for decades through the segmentation, detection, and classification of defects …

Sustainable groundwater management in coastal cities: Insights from groundwater potential and vulnerability using ensemble learning and knowledge-driven models

P Huang, M Hou, T Sun, H Xu, C Ma, A Zhou - Journal of Cleaner …, 2024 - Elsevier
The rapid economic growth of the Pearl River Delta, one of China's most economically
developed areas, has led to a sharp increase in the demand for water resources …

Harnessing machine learning to predict cytochrome P450 inhibition through molecular properties

H Zahid, H Tayara, KT Chong - Archives of Toxicology, 2024 - Springer
Cytochrome P450 enzymes are a superfamily of enzymes responsible for the metabolism of
a variety of medicines and xenobiotics. Among the Cytochrome P450 family, five isozymes …

Optimizing the model-prediction of date palm fronds-derived producer gas and third generation biodiesel powered dual-fuel engine by employing Bayesian-optimized …

M Alruqi - Process Safety and Environmental Protection, 2024 - Elsevier
The global issue concerning the dual problem of economic energy shortage as well as
greenhouse gas emission needs urgent attention. Due to its abundance and carbon …

Modeling the Mechanical Properties of a Polymer-Based Mixed-Matrix Membrane Using Deep Learning Neural Networks

ZA Alhulaybi, MA Martuza, S Rushd - ChemEngineering, 2023 - mdpi.com
Polylactic acid (PLA), the second most produced biopolymer, was selected for the fabrication
of mixed-matrix membranes (MMMs) via the incorporation of HKUST-1 metal–organic …

GSNet: a multi-class 3D attention-based hybrid glioma segmentation network

MT Jawad, A Yeafi, KK Halder - Optics Express, 2023 - opg.optica.org
In modern neuro-oncology, computer-aided biomedical image retrieval (CBIR) tools have
recently gained significant popularity due to their quick and easy usage and high …

Segmentation of patients with small cell lung cancer into responders and non-responders using the optimal cross-validation technique

E Majd, L Xing, X Zhang - BMC Medical Research Methodology, 2024 - Springer
Background The timing of treating cancer patients is an essential factor in the efficacy of
treatment. So, patients who will not respond to current therapy should receive a different …

Predicting abnormal respiratory patterns in older adults using supervised machine learning on Internet of medical things respiratory frequency data

PC Santana-Mancilla, OE Castrejón-Mejía… - Information, 2023 - mdpi.com
Wearable Internet of Medical Things (IoMT) technology, designed for non-invasive
respiratory monitoring, has demonstrated considerable promise in the early detection of …

An end-to-end entity recognition and disambiguation framework for identifying Author Affiliation from literature publications

L Lin, T Hao - Proceedings of the Fourth Workshop on Scholarly …, 2024 - aclanthology.org
Author affiliation information plays a key role in bibliometric analyses and is essential for
evaluating studies. However, as author affiliation information has not been standardized …

Development of Pre-Processing for Chronic Kidney Disease Prediction Using K-Nearest Neighbors Imputer and Chi-Square

R Mardianto, A Saikhu - 2024 8th International Conference on …, 2024 - ieeexplore.ieee.org
Chronic Kidney Disease (CKD) is a condition in which the function and/or structure of the
kidneys are severely damaged, resulting in an inability to filter blood as they should. This …