AIMC Topic: Electric Power Supplies

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A Machine Learning Method for Power Prediction on the Mobile Devices.

Journal of medical systems Aug 26, 2015
Energy profiling and estimation have been popular areas of research in multicore mobile architectures. While short sequences of system calls have been recognized by machine learning as pattern descriptions for anomalous detection, power consumption o...
Cell Phone Models, Statistical Electric Power Supplies Humans Machine Learning Fuzzy Logic Neural Networks, Computer
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Locomotor Adaptation by Transtibial Amputees Walking With an Experimental Powered Prosthesis Under Continuous Myoelectric Control.

IEEE transactions on neural systems and rehabilitation engineering : a publication of the IEEE Engineering in Medicine and Biology Society Jun 4, 2015
Lower limb amputees can use electrical activity from their residual muscles for myoelectric control of a powered prosthesis. The most common approach for myoelectric control is a finite state controller that identifies behavioral states and discrete ...
Muscle, Skeletal Robotics Electromyography Amputees Equipment Design Male Middle Aged Treatment Outcome Aged Adult Gait Disorders, Neurologic Tibia Electric Power Supplies Humans Equipment Failure Analysis Gait Pregnancy Adaptation, Physiological Artificial Limbs Female
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Variable Cadence Walking and Ground Adaptive Standing With a Powered Ankle Prosthesis.

IEEE transactions on neural systems and rehabilitation engineering : a publication of the IEEE Engineering in Medicine and Biology Society Apr 30, 2015
This paper describes a control approach that provides walking and standing functionality for a powered ankle prosthesis, and demonstrates the efficacy of the approach in experiments with a unilateral transtibial amputee subject. Both controllers inco...
Exoskeleton Device Male Amputees Feedback, Physiological Walking Posture Adaptation, Physiological Humans Amputation Stumps Artificial Limbs Adult Electric Power Supplies Robotics Equipment Failure Analysis Prosthesis Design Ankle Gait
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Prediction of electrical load demand using combined LHS with ANFIS.

PloS one Jan 1, 2025
Enhancement prediction of load demand is crucial for effective energy management and resource allocation in modern power systems and especially in medical segment. Proposed method leverages strengths of ANFIS in learning complex nonlinear relationshi...
Humans Neural Networks, Computer Monte Carlo Method Electricity Electric Power Supplies Algorithms Fuzzy Logic Machine Learning
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A lithium-ion batteries SOH estimation method based on extracting new features during the constant voltage charging stage and improving BPNN.

PloS one Jan 1, 2025
Existing state of health (SOH) estimation methods for lithium-ion batteries predominantly extract health features (HF) from constant current (CC) and constant voltage (CV) charging phases. Nevertheless, CC charging phase feature extraction is suscept...
Electric Power Supplies Algorithms Lithium Humans Neural Networks, Computer
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Study on forecasting method of power engineering cost based on BIM and DynGCN.

PloS one Jan 1, 2025
In view of the shortcomings of power engineering cost in precision and dynamic in big data environments, this paper proposes building information modelling (BIM) and spatiotemporal modelling-based dynamic graph convolutional neural networks (DynGCN)....
Forecasting Costs and Cost Analysis Electric Power Supplies Neural Networks, Computer Algorithms
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[Application of NGO-BP Neural Network in Battery Life Prediction of Portable Medical Devices].

Zhongguo yi liao qi xie za zhi = Chinese journal of medical instrumentation May 30, 2024
The development of portable medical devices cannot be separated from safe and efficient batteries. Accurately predicting the remaining life of batteries can greatly improve the reliability of batteries, which is of great significance for portable med...
Neural Networks, Computer Algorithms Temperature Reproducibility of Results Electric Power Supplies Equipment and Supplies
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Enhancing 3D human pose estimation with NIR single-pixel imaging and time-of-flight technology: a deep learning approach.

Journal of the Optical Society of America. A, Optics, image science, and vision Mar 1, 2024
The extraction of 3D human pose and body shape details from a single monocular image is a significant challenge in computer vision. Traditional methods use RGB images, but these are constrained by varying lighting and occlusions. However, cutting-edg...
Humans Deep Learning Image Processing, Computer-Assisted Light Electric Power Supplies Diagnostic Imaging
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Convolutional transformer-driven robust electrocardiogram signal denoising framework with adaptive parametric ReLU.

Mathematical biosciences and engineering : MBE Feb 26, 2024
The electrocardiogram (ECG) is a widely used diagnostic tool for cardiovascular diseases. However, ECG recording is often subject to various noises, which can limit its clinical evaluation. To address this issue, we propose a novel Transformer-based ...
Signal-To-Noise Ratio Electric Power Supplies Neural Networks, Computer Electrocardiography Signal Processing, Computer-Assisted Algorithms
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Detection of Medication Mentions and Medication Change Events in Clinical Notes Using Transformer-Based Models.

Studies in health technology and informatics Jan 25, 2024
In this paper, we address the related tasks of medication extraction, event classification, and context classification from clinical text. The data for the tasks were obtained from the National Natural Language Processing (NLP) Clinical Challenges (n...
Recognition, Psychology Natural Language Processing Electric Power Supplies
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