Deep learning for automatic vision-based recognition of industrial surface defects: a survey
Automatic vision-based inspection systems have played a key role in product quality
assessment for decades through the segmentation, detection, and classification of defects …
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 …
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
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 …
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 …
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
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 …
of mixed-matrix membranes (MMMs) via the incorporation of HKUST-1 metal–organic …
GSNet: a multi-class 3D attention-based hybrid glioma segmentation network
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 …
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
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 …
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 …
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 …
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 …
kidneys are severely damaged, resulting in an inability to filter blood as they should. This …