AIMC Topic: Seasons

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Deep learning assisted distinguishing of honey seasonal changes using quadruple voltammetric electrodes.

Talanta Jan 6, 2022
The work presents innovative quadruple disk iridium, platinum, and iridium-platinum voltammetric electrodes with a special design, dedicated to the testing of samples with a complex organic composition. Noble metal wires are tightened in one silver r...
Seasons Honey Electronic Nose Deep Learning Electrodes
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Crop loss identification at field parcel scale using satellite remote sensing and machine learning.

PloS one Dec 16, 2021
Identifying crop loss at field parcel scale using satellite images is challenging: first, crop loss is caused by many factors during the growing season; second, reliable reference data about crop loss are lacking; third, there are many ways to define...
Crops, Agricultural Finland Satellite Imagery Machine Learning Seasons
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Water tank and swimming pool detection based on remote sensing and deep learning: Relationship with socioeconomic level and applications in dengue control.

PloS one Dec 9, 2021
Studies have shown that areas with lower socioeconomic standings are often more vulnerable to dengue and similar deadly diseases that can be spread through mosquitoes. This study aims to detect water tanks installed on rooftops and swimming pools in ...
Humans Seasons Aedes Mosquito Vectors Dengue Mosquito Control Deep Learning Socioeconomic Factors Remote Sensing Technology Animals Disease Outbreaks Swimming Pools Unmanned Aerial Devices
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Analyzing the Check-In Behavior of Visitors through Machine Learning Model by Mining Social Network's Big Data.

Computational and mathematical methods in medicine Nov 30, 2021
The current article paper is aimed at assessing and comparing the seasonal check-in behavior of individuals in Shanghai, China, using location-based social network (LBSN) data and a variety of spatiotemporal analytic techniques. The article demonstra...
Computational Biology Decision Trees Humans Machine Learning Social Media Spatio-Temporal Analysis Geographic Information Systems Travel China Big Data Seasons Social Networking Cities Data Mining
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The Short-Term Load Forecasting Using an Artificial Neural Network Approach with Periodic and Nonperiodic Factors: A Case Study of Tai'an, Shandong Province, China.

Computational intelligence and neuroscience Oct 26, 2021
Accurate electricity load forecasting is an important prerequisite for stable electricity system operation. In this paper, it is found that daily and weekly variations are prominent by the power spectrum analysis of the historical loads collected hou...
Seasons Electricity Neural Networks, Computer Forecasting China
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Application of Neural Network Model Based on Multispecies Evolutionary Genetic Algorithm to Planning and Design of Diverse Plant Landscape.

Computational intelligence and neuroscience Oct 18, 2021
In order to explore the feasibility of applying neural network model to landscape planning, based on the multispecies evolutionary genetic algorithm, a neural network model is proposed in this paper for the system design of diverse plant landscape pl...
Plants Seasons Algorithms Ecosystem Neural Networks, Computer
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Simulation and Prediction of Fungal Community Evolution Based on RBF Neural Network.

Computational and mathematical methods in medicine Oct 8, 2021
Simulation and prediction of the scale change of fungal community. First, using the experimental data of a variety of fungal decomposition activities, a mathematical model of the decomposition rate and the relationship between the bacterial species w...
Symbiosis Mycobiome Bacterial Physiological Phenomena Biological Evolution Models, Biological Biodiversity Linear Models Microbial Interactions Seasons Neural Networks, Computer Ecosystem Computational Biology
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A Class-Imbalanced Deep Learning Fall Detection Algorithm Using Wearable Sensors.

Sensors (Basel, Switzerland) Sep 29, 2021
Falling represents one of the most serious health risks for elderly people; it may cause irreversible injuries if the individual cannot obtain timely treatment after the fall happens. Therefore, timely and accurate fall detection algorithm research i...
Aged Deep Learning Wearable Electronic Devices Humans Accidental Falls Seasons Algorithms
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Detection of Safe Passage for Trains at Rail Level Crossings Using Deep Learning.

Sensors (Basel, Switzerland) Sep 18, 2021
The detection of obstacles at rail level crossings (RLC) is an important task for ensuring the safety of train traffic. Traffic control systems require reliable sensors for determining the state of anRLC. Fusion of information from a number of sensor...
Weather Seasons Railroads Deep Learning Accidents, Traffic
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Characterizing and forecasting the responses of tropical forest leaf phenology to El Nino by machine learning algorithms.

PloS one Aug 26, 2021
Climate change and global warming have serious adverse impacts on tropical forests. In particular, climate change may induce changes in leaf phenology. However, in tropical dry forests where tree diversity is high, species responses to climate change...
Machine Learning Forests Seasons Trees Algorithms Plant Leaves Tropical Climate Plant Physiological Phenomena El Nino-Southern Oscillation
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