AIMC Topic: Electricity

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Development of an electrical current stimulator for controlling biohybrid machines.

Scientific reports Jul 2, 2025
Soft and flexible robotics is an emerging field that attracts a huge interest due to its ability to produce bioinspired devices that are easily adaptable to the environment. Biohybrid Machines (BHM) represent a category of soft robots that integrate ...
Humans Animals Muscle Contraction Electric Stimulation Electricity Robotics Equipment Design
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High-Output Droplet Electricity Generator for Intelligent Self-Powered Biochemical Analysis.

Analytical chemistry Jun 10, 2025
The detection and analysis of chemical and biological substances are crucial in fields such as pharmaceuticals, disease diagnosis food safety and environmental monitoring. However, traditional analytical methods often involve complex procedures, expe...
Electrochemical Techniques Electricity Deep Learning
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Development of intelligent hybrid controller for torque ripple minimization in electric drive system with adaptive flux estimator: An experimental case study.

PloS one Mar 28, 2025
In order to ensure optimal performance of permanent magnet synchronous motors (PMSMs) across many technical applications, it is imperative to minimize torque fluctuations and reduce total harmonic distortion (THD) in stator currents. Hence, this stud...
Models, Theoretical Fuzzy Logic Torque Electricity Algorithms
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Electric vehicle braking energy recovery control method integrating fuzzy control and improved firefly algorithm.

PloS one Mar 28, 2025
Braking energy recovery is crucial for improving the energy efficiency and extending the range of electric vehicles. If a large amount of braking energy is wasted, it will lead to problems such as reduced range and increased battery burden for electr...
Electricity Electric Power Supplies Fuzzy Logic Algorithms Fireflies Automobiles Models, Theoretical
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Investigating the causal relationship between electricity pricing policy and CO emission: An application of machine learning-driven metalearners.

Journal of environmental management Mar 13, 2025
Investigating the causal relationship between electricity pricing policies and CO emissions is vital for crafting effective climate strategies, as it reveals how pricing mechanisms can inadvertently influence environmental outcomes. So, the paper uti...
Machine Learning Carbon Dioxide Electricity
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Learning from leading indicators to predict long-term dynamics of hourly electricity generation from multiple resources.

Neural networks : the official journal of the International Neural Network Society Feb 19, 2025
Electricity is generated through various resources and then flows between regions via a complex system (grid). Imbalances in electricity generation can lead to the waste of renewable energy. As renewable energy is becoming a larger part of the grid, ...
Time Factors Electricity Forecasting Deep Learning Renewable Energy Neural Networks, Computer
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Electrically Driven, Bioluminescent Compliant Devices for Soft Robotics.

ACS applied materials & interfaces Feb 10, 2025
Soft robotics, a research field wherein robots are fabricated from compliant materials, has sparked widespread research interest because of its potential applications in a variety of scenarios. In soft robots, luminescence is an important functionali...
Robotics Luminescent Measurements Animals Luminescent Agents Electricity Luminescence Luciferases
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Optimization of carbon footprint management model of electric power enterprises based on artificial intelligence.

PloS one Jan 3, 2025
This study intends to optimize the carbon footprint management model of power enterprises through artificial intelligence (AI) technology to help the scientific formulation of carbon emission reduction strategies. Firstly, a carbon footprint calculat...
Electricity Power Plants Carbon Footprint Models, Theoretical Carbon Algorithms China Artificial Intelligence Machine Learning
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Extended DEMATEL method with intuitionistic fuzzy information: A case of electric vehicles.

PloS one Dec 19, 2024
The Decision-Making Trial and Laboratory (DEMATEL) methodology excels in the analysis of interdependent factors within complex systems, with correlation data typically presented in crisp values. Nevertheless, the judgments made by decision-makers oft...
Electricity Fuzzy Logic Motor Vehicles Humans Decision Making Electric Power Supplies Intuition Algorithms
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How peptide migration and fraction bioactivity are modulated by applied electrical current conditions during electromembrane process separation: A comprehensive machine learning-based peptidomic approach.

Food research international (Ottawa, Ont.) Nov 28, 2024
Industrial wastewaters are significant global concerns due to their environmental impact. Yet, protein-rich wastewaters can be valorized by enzymatic hydrolysis to release bioactive peptides. However, achieving selective molecular differentiation and...
Electricity Membranes, Artificial Dialysis Animals Peptides Machine Learning Wastewater Hydrolysis Protein Hydrolysates Swine Antifungal Agents
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