Morphological, physiological and molecular markers for salt-stressed plants

A Soltabayeva, A Ongaltay, JO Omondi, S Srivastava - Plants, 2021 - mdpi.com
Plant growth and development is adversely affected by different kind of stresses. One of the
major abiotic stresses, salinity, causes complex changes in plants by influencing the …

BCD-WERT: a novel approach for breast cancer detection using whale optimization based efficient features and extremely randomized tree algorithm

S Abbas, Z Jalil, AR Javed, I Batool, MZ Khan… - PeerJ Computer …, 2021 - peerj.com
Breast cancer is one of the leading causes of death in the current age. It often results in
subpar living conditions for a patient as they have to go through expensive and painful …

Long-term mapping of land use and cover changes using Landsat images on the Google Earth Engine Cloud Platform in bay area-A case study of Hangzhou Bay …

J Liang, C Chen, Y Song, W Sun, G Yang - Sustainable Horizons, 2023 - Elsevier
Large-scale, long-term series, and high-precision land use and cover change (LUCC)
mapping is the basic support for territorial spatial planning and sustainable development in …

Tree species classification using hyperspectral imagery: A comparison of two classifiers

L Ballanti, L Blesius, E Hines, B Kruse - Remote Sensing, 2016 - mdpi.com
The identification of tree species can provide a useful and efficient tool for forest managers
for planning and monitoring purposes. Hyperspectral data provide sufficient spectral …

Rohingya refugee crisis and forest cover change in Teknaf, Bangladesh

MM Hassan, AC Smith, K Walker, MK Rahman… - Remote Sensing, 2018 - mdpi.com
Following a targeted campaign of violence by Myanmar military, police, and local militias,
more than half a million Rohingya refugees have fled to neighboring Bangladesh since …

Water level forecasting using deep learning time-series analysis: A case study of red river of the north

V Atashi, HT Gorji, SM Shahabi, R Kardan, YH Lim - Water, 2022 - mdpi.com
The Red River of the North is vulnerable to floods, which have caused significant damage
and economic loss to inhabitants. A better capability in flood-event prediction is essential to …

Counter hate speech in social media: A survey

D Alsagheer, H Mansourifar, W Shi - arXiv preprint arXiv:2203.03584, 2022 - arxiv.org
With the high prevalence of offensive language against minorities in social media, counter-
hate speeches (CHS) generation is considered an automatic way of tackling this challenge …

Land cover changes and their driving mechanisms in Central Asia from 2001 to 2017 supported by Google Earth Engine

Y Hu, Y Hu - Remote Sensing, 2019 - mdpi.com
Limited research has been published on land changes and their driving mechanisms in
Central Asia, but this area is an important ecologically sensitive area. Supported by Google …

Investigation of the Influence of Polyamines on Mature Embryo Culture and DNA Methylation of Wheat (Triticum aestivum L.) Using the Machine Learning Algorithm …

B Eren, A Türkoğlu, K Haliloğlu, F Demirel, K Nowosad… - Plants, 2023 - mdpi.com
Numerous factors can impact the efficiency of callus formation and in vitro regeneration in
wheat cultures through the introduction of exogenous polyamines (PAs). The present study …

[HTML][HTML] An ensemble machine learning method for microplastics identification with FTIR spectrum

X Yan, Z Cao, A Murphy, Y Qiao - Journal of Environmental Chemical …, 2022 - Elsevier
Abstract Microplastics (MPs)(size< 5 mm) marine pollution have been investigated and
monitored by many researchers and found in many coasts around the world. These toxic …