Results 11 to 20 of about 36,113 (246)
PeerJ Computer Science, 2021 Crop classification in early phenological stages has been a difficult task due to spectrum similarity of different crops. For this purpose, low altitude platforms such as drones have great potential to provide high resolution optical imagery where ...
Naveed Iqbal +3 more
semanticscholar +1 more source
Frontiers in Plant Science, 2023 Aboveground biomass (AGB) is a crucial physiological parameter for monitoring crop growth, assessing nutrient status, and predicting yield. Texture features (TFs) derived from remote sensing images have been proven to be crucial for estimating crops AGB,
Jikai Liu +9 more
semanticscholar +1 more source
A Study of Dimensionality Reduction in GLCM Feature-Based Classification of Machined Surface Images
The Arabian journal for science and engineering, 2023 The surfaces produced by the machining process are sensitive to the type of machining process and the conditions under which it is performed. Thus, surface texture identification is crucial in quality assurance, as it acts as a feedback to the machining ...
G. Prasad. +4 more
semanticscholar +1 more source
Distinguishing Parkinson’s Disease with GLCM Features from the Hankelization of EEG Signals
Diagnostics, 2023 This study proposes a novel method that uses electroencephalography (EEG) signals to classify Parkinson’s Disease (PD) and demographically matched healthy control groups. The method utilizes the reduced beta activity and amplitude decrease in EEG signals
M. F. Karakaş, F. Latifoğlu
semanticscholar +1 more source
WSEAS Transactions on Signal Processing, 2022 In computer vision, image feature extraction methods are used to extract features so that the features are learnt for classification tasks. In biomedical images, the choice of a particular feature extractor from a diverse range of feature extractors is ...
A. Aggarwal
semanticscholar +1 more source
Remote Sensing, 2020 Google Earth Engine (GEE) is a versatile cloud platform in which pixel-based (PB) and object-oriented (OO) Land Use–Land Cover (LULC) classification approaches can be implemented, thanks to the availability of the many state-of-art functions comprising ...
Andrea Tassi, Marco Vizzari
semanticscholar +1 more source
Journal of Clinical Medicine, 2023 Aim: The aim of the study was to quantitatively assess the effectiveness of microneedle mesotherapy in reducing skin discoloration. The results were analyzed using the gray-level co-occurrence matrix (GLCM) method.
Iga Wawrzyk-Bochenek +3 more
semanticscholar +1 more source
An efficient deep learning model for brain tumour detection with privacy preservation
CAAI Transactions on Intelligence Technology, EarlyView., 2023 Abstract Internet of medical things (IoMT) is becoming more prevalent in healthcare applications as a result of current AI advancements, helping to improve our quality of life and ensure a sustainable health system. IoMT systems with cutting‐edge scientific capabilities are capable of detecting, transmitting, learning and reasoning.
Mujeeb Ur Rehman +8 more
wiley +1 more source
Remote Sensing, 2022 Vegetation mapping requires accurate information to allow its use in applications such as sustainable forest management against the effects of climate change and the threat of wildfires.
Pegah Mohammadpour, D. Viegas, C. Viegas
semanticscholar +1 more source
Applied Sciences, 2023 Due to the physical strain experienced during intense workouts, athletes are at a heightened risk of developing osteopenia and osteoporosis. These conditions not only impact their overall health but also their athletic performance.
Zhangtianyi Chen +3 more
semanticscholar +1 more source