AIMC Topic: Hot Temperature

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De novo design of luciferases using deep learning.

Nature Feb 22, 2023
De novo enzyme design has sought to introduce active sites and substrate-binding pockets that are predicted to catalyse a reaction of interest into geometrically compatible native scaffolds, but has been limited by a lack of suitable protein structur...
Deep Learning Biocatalysis Oxidation-Reduction Catalytic Domain Substrate Specificity Luminescence Enzyme Stability Luciferins Luciferases Hot Temperature
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Automated Evaluation of Upper Airway Obstruction Based on Deep Learning.

BioMed research international Feb 18, 2023
OBJECTIVES: This study is aimed at developing a screening tool that could evaluate the upper airway obstruction on lateral cephalograms based on deep learning.
Animals Deep Learning Airway Obstruction Clinical Relevance Hot Temperature Estrus
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The Development of an Energy Efficient Temperature Controller for Residential Use and Its Generalization Based on LSTM.

Sensors (Basel, Switzerland) Jan 1, 2023
Thermostats operate alongside intelligent home automation systems for ensuring both the comfort of the occupants as well as the responsible use of energy. The effectiveness of such solutions relies on the ability of the adopted control methodology to...
Hot Temperature Conservation of Energy Resources Neural Networks, Computer Temperature Automation
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Urban Heat Island Intensity Changes in Guangdong-Hong Kong-Macao Greater Bay Area of China Revealed by Downscaling MODIS LST with Deep Learning.

International journal of environmental research and public health Dec 18, 2022
The urban heat island (UHI) effect caused by urbanization negatively impacts the ecological environment and human health. It is crucial for urban planning and social development to monitor the urban heat island effect and study its mechanism. Due to ...
Hot Temperature Macau China Cities Environmental Monitoring Hong Kong Temperature Deep Learning Humans
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Analysis and estimation of cross-flow heat exchanger fouling in phosphoric acid concentration plant using response surface methodology (RSM) and artificial neural network (ANN).

Scientific reports Nov 28, 2022
The production of phosphoric acid by dehydrated process leads to the precipitation of unwanted insoluble salts promoting thus the crystallization fouling build-up on heat transfer surfaces of the exchangers. During the acid concentration operation, t...
Neural Networks, Computer Phosphoric Acids Crystallization Hot Temperature
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PollenDetect: An Open-Source Pollen Viability Status Recognition System Based on Deep Learning Neural Networks.

International journal of molecular sciences Nov 3, 2022
Pollen grains, the male gametophytes for reproduction in higher plants, are vulnerable to various stresses that lead to loss of viability and eventually crop yield. A conventional method for assessing pollen viability is manual counting after stainin...
Deep Learning Software Hot Temperature Pollen Plant Breeding
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Boundary heat diffusion classifier for a semi-supervised learning in a multilayer network embedding.

Neural networks : the official journal of the International Neural Network Society Oct 13, 2022
The scarcity of high-quality annotations in many application scenarios has recently led to an increasing interest in devising learning techniques that combine unlabeled data with labeled data in a network. In this work, we focus on the label propagat...
Algorithms Supervised Machine Learning Machine Learning Hot Temperature
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Effect of process parameters on the temperature changes during robotic bone drilling.

Proceedings of the Institution of Mechanical Engineers. Part H, Journal of engineering in medicine Jul 12, 2022
In medical surgery, bone drilling is an inevitable procedure. The thermal necrosis in the drilling process can affect post-operative recovery. In this study, the method of drill bit precooling is proposed in bone drilling with robot assisted system. ...
Humans Orthopedic Procedures Temperature Necrosis Robotics Hot Temperature Bone and Bones Robotic Surgical Procedures
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Exploring Built-Up Indices and Machine Learning Regressions for Multi-Temporal Building Density Monitoring Based on Landsat Series.

Sensors (Basel, Switzerland) Jun 22, 2022
Uncontrolled built-up area expansion and building densification could bring some detrimental problems in social and economic aspects such as social inequality, urban heat islands, and disturbance in urban environments. This study monitored multi-deca...
Hot Temperature Machine Learning Algorithms Cities Support Vector Machine
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A Pruning Method for Deep Convolutional Network Based on Heat Map Generation Metrics.

Sensors (Basel, Switzerland) Mar 4, 2022
With the development of deep learning, researchers design deep network structures in order to extract rich high-level semantic information. Nowadays, most popular algorithms are designed based on the complexity of visible image features. However, com...
Algorithms Neural Networks, Computer Hot Temperature
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