AIMC Topic: Stress, Physiological

Clear Filters Showing 21 to 30 of 73 articles

Advanced deep learning algorithm for instant discriminating of tea leave stress symptoms by smartphone-based detection.

Plant physiology and biochemistry : PPB May 22, 2024
The primary challenges in tea production under multiple stress exposures have negatively affected its global market sustainability, so introducing an infield fast technique for monitoring tea leaves' stresses has tremendous urgent needs. Therefore, t...
Deep Learning Smartphone Plant Leaves Algorithms Plant Diseases Stress, Physiological Camellia sinensis Tea
View on PubMed DOI

An intelligent model for prediction of abiotic stress-responsive microRNAs in plants using statistical moments based features and ensemble approaches.

Methods (San Diego, Calif.) May 18, 2024
This study proposed an intelligent model for predicting abiotic stress-responsive microRNAs in plants. MicroRNAs (miRNAs) are short RNA molecules regulates the stress in genes. Experimental methods are costly and time-consuming, as compare to in-sili...
Algorithms Stress, Physiological Gene Expression Regulation, Plant RNA, Plant MicroRNAs Plants Computational Biology Support Vector Machine
View on PubMed DOI

Multimodal deep learning-based drought monitoring research for winter wheat during critical growth stages.

PloS one May 9, 2024
Wheat is a major grain crop in China, accounting for one-fifth of the national grain production. Drought stress severely affects the normal growth and development of wheat, leading to total crop failure, reduced yields, and quality. To address the la...
Stress, Physiological Droughts Deep Learning Triticum China Seasons
View on PubMed DOI

Novel candidate genes for environmental stresses response in Synechocystis sp. PCC 6803 revealed by machine learning algorithms.

Brazilian journal of microbiology : [publication of the Brazilian Society for Microbiology] May 6, 2024
Cyanobacteria have developed acclimation strategies to adapt to harsh environments, making them a model organism. Understanding the molecular mechanisms of tolerance to abiotic stresses can help elucidate how cells change their gene expression patter...
Computational Biology Support Vector Machine Bacterial Proteins Gene Expression Profiling Transcriptome Stress, Physiological Gene Expression Regulation, Bacterial Synechocystis Light Genes, Bacterial Machine Learning Algorithms
View on PubMed DOI

ASPTF: A computational tool to predict abiotic stress-responsive transcription factors in plants by employing machine learning algorithms.

Biochimica et biophysica acta. General subjects Mar 14, 2024
BACKGROUND: Abiotic stresses pose serious threat to the growth and yield of crop plants. Several studies suggest that in plants, transcription factors (TFs) are important regulators of gene expression, especially when it comes to coping with abiotic ...
Gene Expression Regulation, Plant Computational Biology Transcription Factors Plant Proteins Stress, Physiological Machine Learning Plants Algorithms
View on PubMed DOI

A deep learning-based approach for distinguishing different stress levels of human brain using EEG and pulse rate.

Computer methods in biomechanics and biomedical engineering Nov 6, 2023
In today's world, people suffer from many fatal maladies, and stress is one of them. Excessive stress can have deleterious effects on the health, brain, mind, and nervous system of humans. The goal of this paper is to design a deep learningbased huma...
Humans Neural Networks, Computer Stress, Physiological Electroencephalography Brain Signal Processing, Computer-Assisted Deep Learning Heart Rate
View on PubMed DOI

Decoding the physiological response of plants to stress using deep learning for forecasting crop loss due to abiotic, biotic, and climatic variables.

Scientific reports May 26, 2023
This paper presents a simple method for detecting both biotic and abiotic stress in plants. Stress levels are measured based on the increase in nutrient uptake by plants as a mechanism of self-defense when under stress. A continuous electrical resist...
Nutrients Seeds Deep Learning Plants Stress, Physiological Cicer
View on PubMed DOI

Predicting the Next-Day Perceived and Physiological Stress of Pregnant Women by Using Machine Learning and Explainability: Algorithm Development and Validation.

JMIR mHealth and uHealth Aug 2, 2022
BACKGROUND: Cognitive behavioral therapy-based interventions are effective in reducing prenatal stress, which can have severe adverse health effects on mothers and newborns if unaddressed. Predicting next-day physiological or perceived stress can hel...
Stress, Physiological Machine Learning Female Algorithms Infant, Newborn Prospective Studies Humans Pregnant People Pregnancy
View on PubMed DOI

Development of novel robotic platforms for mechanical stress induction, and their effects on plant morphology, elements, and metabolism.

Scientific reports Dec 13, 2021
This research evaluates the effect on herbal crops of mechanical stress induced by two specially developed robotic platforms. The changes in plant morphology, metabolite profiles, and element content are evaluated in a series of three empirical exper...
Ocimum basilicum Stress, Mechanical Robotics Stress, Physiological Plant Physiological Phenomena
View on PubMed DOI

Identification of stress response proteins through fusion of machine learning models and statistical paradigms.

Scientific reports Nov 5, 2021
Proteins are a vital component of cells that perform physiological functions to ensure smooth operations of bodily functions. Identification of a protein's function involves a detailed understanding of the structure of proteins. Stress proteins are e...
Stress, Physiological Machine Learning Models, Statistical Software Proteins
View on PubMed DOI
Popular Topics
Recent Journals