AIMC Topic: Seasons

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Robots at the Beijing 2022 Winter Olympics.

Science robotics Apr 27, 2022
The 2022 Winter Olympics has shown that robots can serve, protect, and help people excel in many aspects of their lives.
Seasons Humans Beijing Robotics Sports
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A Machine-Learning-Based Medical Imaging Fast Recognition of Injury Mechanism for Athletes of Winter Sports.

Frontiers in public health Mar 17, 2022
The Beijing 2022 Winter Olympics will begin soon, which is mainly focused on winter sports. Athletes from different countries will arrive in Beijing one after another for training and competition. The health protection of athletes of winter sports is...
Athletic Injuries Humans Seasons Athletes Support Vector Machine Diagnostic Imaging
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Optimization Method for Energy Saving of Rural Architectures in Hot Summer and Cold Winter Areas Based on Artificial Neural Network.

Computational intelligence and neuroscience Mar 2, 2022
With the phased spatial planning of the rural revitalization strategy, the proportion of architecture energy consumption in the overall social energy consumption is also increasing year by year. Considering the hot summer and cold winter areas, the p...
Computer Simulation Seasons Forecasting Neural Networks, Computer
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Winter wheat yield prediction using convolutional neural networks from environmental and phenological data.

Scientific reports Feb 25, 2022
Crop yield forecasting depends on many interactive factors, including crop genotype, weather, soil, and management practices. This study analyzes the performance of machine learning and deep learning methods for winter wheat yield prediction using an...
Soil Triticum Seasons Neural Networks, Computer Machine Learning
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The research of ARIMA, GM(1,1), and LSTM models for prediction of TB cases in China.

PloS one Feb 23, 2022
BACKGROUND AND OBJECTIVE: Tuberculosis (Tuberculosis, TB) is a public health problem in China, which not only endangers the population's health but also affects economic and social development. It requires an accurate prediction analysis to help to m...
Probability Seasons Mycobacterium tuberculosis Deep Learning China Models, Statistical Tuberculosis Incidence Prognosis Public Health Prevalence Humans Forecasting
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Learning robust perceptive locomotion for quadrupedal robots in the wild.

Science robotics Jan 19, 2022
Legged robots that can operate autonomously in remote and hazardous environments will greatly increase opportunities for exploration into underexplored areas. Exteroceptive perception is crucial for fast and energy-efficient locomotion: Perceiving th...
Seasons Biomimetics Biomimetic Materials Gait Models, Biological Proprioception Locomotion Environment Neural Networks, Computer Machine Learning Robotics Walking Computer Simulation Humans
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MARIDA: A benchmark for Marine Debris detection from Sentinel-2 remote sensing data.

PloS one Jan 7, 2022
Currently, a significant amount of research is focused on detecting Marine Debris and assessing its spectral behaviour via remote sensing, ultimately aiming at new operational monitoring solutions. Here, we introduce a Marine Debris Archive (MARIDA),...
Waste Products Seasons Geologic Sediments Artificial Intelligence Environmental Monitoring Remote Sensing Technology
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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...
Deep Learning Electrodes Electronic Nose Seasons Honey
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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...
Satellite Imagery Crops, Agricultural Machine Learning Finland 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 ...
Seasons Aedes Mosquito Control Socioeconomic Factors Remote Sensing Technology Humans Swimming Pools Disease Outbreaks Unmanned Aerial Devices Deep Learning Mosquito Vectors Animals Dengue
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