AIMC Topic: Machine Learning

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Multifunctional Ag-PDA@PCM composite eutectogel based electronic skin for personal thermal management and a machine learning assisted wearable sensor.

Journal of materials chemistry. B
Inspired by the perception and temperature regulation functionalities of human skin, multifunctional electronic skin (E-skin) for human motion detection and personal thermal management has attracted great attention. Here, we design an E-skin with str...

Evaluating machine learning approaches for host prediction using H3 influenza genomic data.

PloS one
BACKGROUND: H3 influenza A viruses (IAV) have been shown to frequently cross the species barrier which can be an important factor in sustained transmission and spread. Machine learning methods have been widely explored for host prediction of IAV usin...

Quantum-topological meta-learning for tire-road contact stability and multi-modal road prediction in autonomous driving.

PloS one
This paper addresses the critical challenge of tire-road contact dynamics in intelligent transportation systems, particularly for Level 4 autonomous driving. Traditional empirical models fail to accurately predict tire behavior on unstructured road s...

Impact of agricultural subsidy on chemical fertilizer use: Empirical evidence of China's Organic-Substitute-Chemical-Fertilizer policy based on double machine learning.

PloS one
The sustainable development of agriculture hinges on effective fertilizer management, and China's experience with chemical fertilizer overuse highlights the challenges and opportunities in this domain. This study examines the impact of agricultural s...

FastKAN-DDD: A novel fast Kolmogorov-Arnold network-based approach for driver drowsiness detection optimized for TinyML deployment.

PloS one
Driver drowsiness is a leading cause of traffic accidents and fatalities, highlighting the urgent need for intelligent systems capable of real-time fatigue detection. Although recent advancements in machine learning (ML) and deep learning (DL) have s...

Sentiment analysis of cancer screening in Chinese social media: Qualitative studies based on machine learning.

PloS one
PURPOSE: Explore public perceptions and sentiments about cancer screening on social media. The dissemination of misinformation and negative attitudes continue to impede the access of many individuals with perceived risk to cancer screening services d...

An exploratory machine learning study on paediatric abdominal pain phenotyping and prediction.

PloS one
BACKGROUND: The exact mechanisms underlying paediatric abdominal pain (AP) remain unclear due to patient heterogeneity. This preliminary study aimed to identify AP phenotypes and develop predictive models to explore associated factors, with the goal ...

A joint complex network and machine learning approach for the identification of discriminative gene communities in autistic brain.

PloS one
Autism is a genetically and clinically very heterogeneous group of disorders. Gene co-expression network analysis can help unravel its complex genetic architecture through the identification of communities of genes that are dysregulated. Using a publ...

Predicting coastal erosion susceptibility in Bangladesh under climate scenario via machine learning techniques.

PloS one
Using advanced machine learning methods along with geospatial data and climate estimates, this study found areas in Bangladesh that are likely to experience coastal erosion. Twenty important factors were looked at, such as meteorological, geographica...

Machine Learning-Guided microfluidic optimization of clinically inspired liposomes for nanomedicine applications.

International journal of pharmaceutics
Liposomes have transformed drug delivery by enhancing the solubility, stability, and bioavailability of therapeutic agents, driving widespread clinical adoption and contributing to a rapidly expanding multi-billion-dollar market. However, despite the...