AIMC Topic: Flowers

Clear Filters Showing 11 to 20 of 44 articles

AI-driven determination of active compounds and investigation of multi-pharmacological effects of Chrysanthemi Flos.

Computers in biology and medicine Aug 13, 2024
BACKGROUND: Chrysanthemi Flos as a medicine food homology species is widely used in the prevention and treatment of diseases, whereas comprehensive research of its active compounds related to multi-pharmacological effects remains limited. This study ...
Drugs, Chinese Herbal Flowers Chrysanthemum Humans Artificial Intelligence
View on PubMed DOI

Estimation of the amount of pear pollen based on flowering stage detection using deep learning.

Scientific reports Jun 7, 2024
Pear pollination is performed by artificial pollination because the pollination rate through insect pollination is not stable. Pollen must be collected to secure sufficient pollen for artificial pollination. However, recently, collecting sufficient a...
Algorithms Flowers Deep Learning Pollen Pollination Pyrus
View on PubMed DOI

Optimization of Flavonoid Extraction from Flowers Using Ultrasonic Techniques: Predictive Modeling through Response Surface Methodology and Deep Neural Network and Biological Activity Assessment.

Molecules (Basel, Switzerland) Jun 1, 2024
Understanding the optimal extraction methods for flavonoids from flowers (AMF) is crucial for unlocking their potential benefits. This study aimed to optimize the efficiency of flavonoid extraction from AMF. After comparing extraction methods, the u...
Neural Networks, Computer Flowers Flavonoids Ultrasonic Waves Antioxidants Abelmoschus Plant Extracts
View on PubMed DOI

Modular Spiking Neural Membrane Systems for Image Classification.

International journal of neural systems Mar 8, 2024
A variant of membrane computing models called Spiking Neural P systems (SNP systems) closely mimics the structure and behavior of biological neurons. As third-generation neural networks, SNP systems have flexible architectures allowing the design of ...
Image Processing, Computer-Assisted Models, Neurological Machine Learning Algorithms Flowers Action Potentials Neurons Humans Neural Networks, Computer
View on PubMed DOI

Harnessing artificial intelligence for analysing the impacts of nectar and pollen feeding in conservation biological control.

Current opinion in insect science Feb 2, 2024
Plant-derived foods, such as nectar and pollen, have garnered substantial research attention due to their potential to support natural enemies of pests. This review is a pioneering exploration of the potential for artificial intelligence approaches t...
Pollen Plant Nectar Flowers Crops, Agricultural Artificial Intelligence Animals
View on PubMed DOI

Deep SE-BiLSTM with IFPOA Fine-Tuning for Human Activity Recognition Using Mobile and Wearable Sensors.

Sensors (Basel, Switzerland) Apr 27, 2023
Pervasive computing, human-computer interaction, human behavior analysis, and human activity recognition (HAR) fields have grown significantly. Deep learning (DL)-based techniques have recently been effectively used to predict various human actions u...
Wearable Electronic Devices Flowers Pollination Human Activities Neural Networks, Computer Humans Algorithms
View on PubMed DOI

A search and rescue robot search method based on flower pollination algorithm and Q-learning fusion algorithm.

PloS one Mar 30, 2023
Search algorithm plays an important role in the motion planning of the robot, it determines whether the mobile robot complete the task. To solve the search task in complex environments, a fusion algorithm based on the Flower Pollination algorithm and...
Algorithms Robotics Pollination Flowers Rescue Work
View on PubMed DOI

Shape classification technology of pollinated tomato flowers for robotic implementation.

Scientific reports Feb 7, 2023
Three pollination methods are commonly used in the greenhouse cultivation of tomato. These are pollination using insects, artificial pollination (by manually vibrating flowers), and plant growth regulators. Insect pollination is the preferred natural...
Robotic Surgical Procedures Solanum lycopersicum Insecta Flowers Animals Artificial Intelligence Pollination Robotics Technology
View on PubMed DOI

Comparison of discriminant methods and deep learning analysis in plant taxonomy: a case study of Elatine.

Scientific reports Nov 28, 2022
Elatine is a genus in which, flower and seed characteristics are the most important diagnostic features; i.e. seed shape and the structure of its cover found to be the most reliable identification character. We used a combination of classic discrimin...
Malpighiales Deep Learning Seeds Discriminant Analysis Flowers
View on PubMed DOI

The Application of RBF Neural Network Model Based on Deep Learning for Flower Pattern Design in Art Teaching.

Computational intelligence and neuroscience Jun 13, 2022
The rapid growth of artificial intelligence technology has been deployed in art teaching and learning. Radial basis function (RBF) networks have a completely different design compared to most neural network architectures. Most neural networks consist...
Deep Learning Artificial Intelligence Humans Algorithms Flowers Neural Networks, Computer
View on PubMed DOI
Popular Topics
Recent Journals