Trends in digital image processing of isolated microalgae by incorporating classification algorithm
Identification of microalgae species is of importance due to the uprising of harmful algae
blooms affecting both the aquatic habitat and human health. Despite this occurence …
blooms affecting both the aquatic habitat and human health. Despite this occurence …
Microalgae identification: Future of image processing and digital algorithm
The identification of microalgae species is an important tool in scientific research and
commercial application to prevent harmful algae blooms (HABs) and recognizing potential …
commercial application to prevent harmful algae blooms (HABs) and recognizing potential …
[BOOK][B] A beginner's guide to image preprocessing techniques
For optimal computer vision outcomes, attention to image pre-processing is required so that
one can improve image features by eliminating unwanted falsification. This book …
one can improve image features by eliminating unwanted falsification. This book …
Identifying climate thresholds for dominant natural vegetation types at the global scale using machine learning: Average climate versus extremes
The global distribution of vegetation is largely determined by climatic conditions and feeds
back into the climate system. To predict future vegetation changes in response to climate …
back into the climate system. To predict future vegetation changes in response to climate …
Intelligent computing in medical imaging: A study
Biomedical imaging is considered main procedure to acquire valuable physical information
about the human body and some other biological species. It produces specialized images of …
about the human body and some other biological species. It produces specialized images of …
Dengue fever classification using gene expression data: a PSO based artificial neural network approach
A mosquito borne pathogen called Dengue virus (DENV) has been emerged as one of the
most fatal threats in the recent time. Infections can be in two main forms, namely the DF …
most fatal threats in the recent time. Infections can be in two main forms, namely the DF …
Image based skin disease detection using hybrid neural network coupled bag-of-features
The current work proposes a neural based detection method of two different skin diseases
using skin imaging. Skin images of two diseases namely Basel Cell Carcinoma and Skin …
using skin imaging. Skin images of two diseases namely Basel Cell Carcinoma and Skin …
Rainfall prediction using hybrid neural network approach
A novel rainfall prediction method has been proposed. In the present work rainfall prediction
in Southern part of West Bengal (India) has been conducted. A two-step method has been …
in Southern part of West Bengal (India) has been conducted. A two-step method has been …
[HTML][HTML] Scale dependence of forest fragmentation and its climate sensitivity in a semi-arid mountain: Comparing Landsat, Sentinel and Google Earth data
Y **e, J Li, T Wulan, Y Zheng, Z Shen - Geography and Sustainability, 2024 - Elsevier
Landscape fragmentation is generally viewed as an indicator of environmental stresses or
risks, but the fragmentation intensity assessment also depends on the scale of data and the …
risks, but the fragmentation intensity assessment also depends on the scale of data and the …
Automated classification of hypertension and coronary artery disease patients by PNN, KNN, and SVM classifiers using HRV analysis
MG Poddar, AC Birajdar, J Virmani - … learning in bio-signal analysis and …, 2019 - Elsevier
The hypertension (HTN) and coronary artery disease (CAD) are the major cardiovascular
diseases existing globally. In the present work, the heart rate variability (HRV) of normal …
diseases existing globally. In the present work, the heart rate variability (HRV) of normal …