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Dimensionality reduction in surrogate modeling: A review of combined methods
Surrogate modeling has been popularized as an alternative to full-scale models in complex
engineering processes such as manufacturing and computer-assisted engineering. The …
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
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 …
field crop monitoring has significantly evolved and expanded. These technologies have …
Dengue models based on machine learning techniques: A systematic literature review
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 …
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 …
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 …
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 …
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
Amidst climate change, determining optimal rice harvest timing is increasingly complex.
Traditional and common methods, based on farmers' experience, impact rice's purchase …
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 …
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
Soil moisture content (SMC) has been widely focused and studied in various fields of
research, including atmosphere-land water/energy exchange, drought, and vegetation …
research, including atmosphere-land water/energy exchange, drought, and vegetation …
A comprehensive survey on metaheuristic algorithm for feature selection techniques
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 …
attributes related to certain health factors and medical terminologies. In these feature set …