Dimensionality reduction in surrogate modeling: A review of combined methods

CKJ Hou, K Behdinan - Data science and engineering, 2022 - Springer
Surrogate modeling has been popularized as an alternative to full-scale models in complex
engineering processes such as manufacturing and computer-assisted engineering. The …

Drone‐based imaging sensors, techniques, and applications in plant phenoty** for crop breeding: A comprehensive review

B Gano, S Bhadra, JM Vilbig, N Ahmed… - The Plant Phenome …, 2024 - Wiley Online Library
Over the last decade, the use of unmanned aerial vehicles (UAVs) for plant phenoty** and
field crop monitoring has significantly evolved and expanded. These technologies have …

Dengue models based on machine learning techniques: A systematic literature review

W Hoyos, J Aguilar, M Toro - Artificial intelligence in medicine, 2021 - Elsevier
Background Dengue modeling is a research topic that has increased in recent years. Early
prediction and decision-making are key factors to control dengue. This Systematic Literature …

[HTML][HTML] Recent advances in multi-and hyperspectral image analysis

J Nalepa - Sensors, 2021 - mdpi.com
Current advancements in sensor technology bring new possibilities in multi-and
hyperspectral imaging. Real-life use cases which can benefit from such imagery span …

Transferability of recursive feature elimination (RFE)-Derived feature sets for support Vector Machine Land Cover classification

CA Ramezan - Remote Sensing, 2022 - mdpi.com
Remote sensing analyses frequently use feature selection methods to remove non-
beneficial feature variables from the input data, which often improve classification accuracy …

Deep learning and machine learning-based voice analysis for the detection of COVID-19: A proposal and comparison of architectures

G Costantini, C Robotti, M Benazzo… - Knowledge-Based …, 2022 - Elsevier
Alongside the currently used nasal swab testing, the COVID-19 pandemic situation would
gain noticeable advantages from low-cost tests that are available at any-time, anywhere, at a …

[HTML][HTML] Precision assessment of rice grain moisture content using UAV multispectral imagery and machine learning

MD Yang, YC Hsu, WC Tseng, HH Tseng… - … and Electronics in …, 2025 - Elsevier
Amidst climate change, determining optimal rice harvest timing is increasingly complex.
Traditional and common methods, based on farmers' experience, impact rice's purchase …

[HTML][HTML] Improving the potential of coniferous forest aboveground biomass estimation by integrating C-and L-Band SAR Data with Feature Selection and Non …

Y Hu, Y Nie, Z Liu, G Wu, W Fan - Remote Sensing, 2023 - mdpi.com
Forests play a significant role in terrestrial ecosystems by sequestering carbon, and forest
biomass is a crucial indicator of carbon storage potential. However, the single-frequency …

Soil moisture content estimate with drying process segmentation using shortwave infrared bands

J Tian, J Yue, WD Philpot, X Dong, Q Tian - Remote Sensing of …, 2021 - Elsevier
Soil moisture content (SMC) has been widely focused and studied in various fields of
research, including atmosphere-land water/energy exchange, drought, and vegetation …

A comprehensive survey on metaheuristic algorithm for feature selection techniques

RA Kumar, JV Franklin, N Koppula - Materials Today: Proceedings, 2022 - Elsevier
In Healthcare industries, patients' medical records consist of a greater number of features or
attributes related to certain health factors and medical terminologies. In these feature set …