AIMC Topic: Temperature
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Computational approach for identification, characterization, three-dimensional structure modelling and machine learning-based thermostability prediction of xylanases from the genome of Aspergillus fumigatus.
Computational biology and chemistry
Feb 6, 2021
Identification of thermostable and alkaline xylanases from different fungal and bacterial species have gained an interest for the researchers because of its biotechnological relevance in many industries, such as pulp, paper, and bioethanol. In this s...
MINARO HD: control and evaluation of a handheld, highly dynamic surgical robot.
International journal of computer assisted radiology and surgery
Jan 23, 2021
PURPOSE: Current surgical robotic systems are either large serial arms, resulting in higher risks due to their high inertia and no inherent limitations of the working space, or they are bone-mounted, adding substantial additional task steps to the su...
Asthma-prone areas modeling using a machine learning model.
Scientific reports
Jan 21, 2021
Nowadays, owing to population growth, increasing environmental pollution, and lifestyle changes, the number of asthmatics has significantly increased. Therefore, the purpose of our study was to determine the asthma-prone areas in Tehran, Iran conside...
Actuating Shape Memory Polymer for Thermoresponsive Soft Robotic Gripper and Programmable Materials.
Molecules (Basel, Switzerland)
Jan 20, 2021
For soft robotics and programmable metamaterials, novel approaches are required enabling the design of highly integrated thermoresponsive actuating systems. In the concept presented here, the necessary functional component was obtained by polymer syn...
Experimental investigation and optimal combustion control of untreated landfill gas via fuzzy logic rule knowledge based approach.
Waste management (New York, N.Y.)
Jan 9, 2021
Optimal combustion control of untreated landfill gas is proposed for an effective usage and a low-cost solution in waste to energy technologies. Variations of methane concentration in untreated landfill gas over time cause undesired performance of co...
Viscosity of Ionic Liquids: Application of the Eyring's Theory and a Committee Machine Intelligent System.
Molecules (Basel, Switzerland)
Dec 31, 2020
Accurate determination of the physicochemical characteristics of ionic liquids (ILs), especially viscosity, at widespread operating conditions is of a vital role for various fields. In this study, the viscosity of pure ILs is modeled using three appr...
Flow driven robotic navigation of microengineered endovascular probes.
Nature communications
Dec 22, 2020
Minimally invasive medical procedures, such as endovascular catheterization, have considerably reduced procedure time and associated complications. However, many regions inside the body, such as in the brain vasculature, still remain inaccessible due...
Prediction of the outlet flow temperature in a flat plate solar collector using artificial neural network.
Environmental monitoring and assessment
Nov 19, 2020
In the current research, the efficiency of a solar flat plate collector (SFPC) was examined experimentally, while the system was modeled with an artificial neural network (ANN) under semi-arid weather conditions of Rafsanjan, Iran. Based on the backp...
Evaluation of a wearable wireless device with artificial intelligence, iThermonitor WT705, for continuous temperature monitoring for patients in surgical wards: a prospective comparative study.
BMJ open
Nov 18, 2020
OBJECTIVES: To evaluate a new-generation, non-invasive, wireless axillary thermometer with artificial intelligence, iThermonitor (WT705, Raiing Medical, Beijing, China), and to ascertain its feasibility for perioperative continuous body temperature m...
Analysis of Copernicus' ERA5 Climate Reanalysis Data as a Replacement for Weather Station Temperature Measurements in Machine Learning Models for Olive Phenology Phase Prediction.
Sensors (Basel, Switzerland)
Nov 9, 2020
Knowledge of phenological events and their variability can help to determine final yield, plan management approach, tackle climate change, and model crop development. THe timing of phenological stages and phases is known to be highly correlated with ...
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