AIMC Topic: Electric Power Supplies

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Turnover number predictions for kinetically uncharacterized enzymes using machine and deep learning.

Nature communications
The turnover number k, a measure of enzyme efficiency, is central to understanding cellular physiology and resource allocation. As experimental k estimates are unavailable for the vast majority of enzymatic reactions, the development of accurate comp...

Cracking double-blind review: Authorship attribution with deep learning.

PloS one
Double-blind peer review is considered a pillar of academic research because it is perceived to ensure a fair, unbiased, and fact-centered scientific discussion. Yet, experienced researchers can often correctly guess from which research group an anon...

Machine Learning Methods for Small Data Challenges in Molecular Science.

Chemical reviews
Small data are often used in scientific and engineering research due to the presence of various constraints, such as time, cost, ethics, privacy, security, and technical limitations in data acquisition. However, big data have been the focus for the p...

Advancing the Production of Clinical Medical Devices Through ChatGPT.

Annals of biomedical engineering
As a recently popular large language model, Chatbot Generative Pre-trained Transformer (ChatGPT) is highly valued in the field of clinical medicine. Due to the limited understanding of the potential impact of ChatGPT on the manufacturing side of clin...

Drone-Robot to Clean Power Line Insulators.

Sensors (Basel, Switzerland)
The inspection and maintenance of transmission systems are necessary for their proper functioning. In this way, among the line's critical points are the insulator chains, which are responsible for providing insulation between conductors and structure...

A Two-Branch Neural Network for Short-Axis PET Image Quality Enhancement.

IEEE journal of biomedical and health informatics
The axial field of view (FOV) is a key factor that affects the quality of PET images. Due to hardware FOV restrictions, conventional short-axis PET scanners with FOVs of 20 to 35 cm can acquire only low-quality PET (LQ-PET) images in fast scanning ti...

Microscopic Hyperspectral Image Classification Based on Fusion Transformer With Parallel CNN.

IEEE journal of biomedical and health informatics
Microscopic hyperspectral image (MHSI) has received considerable attention in the medical field. The wealthy spectral information provides potentially powerful identification ability when combining with advanced convolutional neural network (CNN). Ho...

Adaptive Optimal Control of Hybrid Electric Vehicle Power Battery via Policy Learning.

Computational intelligence and neuroscience
An online policy learning algorithm is used to solve the optimal control problem of the power battery state of charge (SOC) observer for the first time. The design of adaptive neural network (NN) optimal control is studied for the nonlinear power bat...

Can ChatGPT be Trusted for Consulting? Uncovering Doctor's Perceptions Using Deep Learning Techniques.

Annals of biomedical engineering
Since the introduction of ChatGPT by OpenAI in late 2022, the question of whether doctors can employ it for consultation has been a subject of debate. ChatGPT is a deep learning model trained on a vast dataset, but concerns about the reliability of i...

Exploring Transformer and Graph Convolutional Networks for Human Mobility Modeling.

Sensors (Basel, Switzerland)
The estimation of human mobility patterns is essential for many components of developed societies, including the planning and management of urbanization, pollution, and disease spread. One important type of mobility estimator is the next-place predic...