AIMC Topic: Algorithms

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Research on the financial early warning models based on ensemble learning algorithms: Introducing MD&A and stock forum comments textual indicators.

PloS one
This study analyzes 284 publicly listed companies first designated as ST or *ST between 2015 and 2023. It utilizes two types of textual indicators: Management's Discussion and Analysis (MD&A) and stock forum comments. PCA and MLP are employed for dim...

Transfer learning of neural operators for partial differential equations based on sparse network λ-FNO.

PloS one
When the solution domain, internal parameters, and initial and boundary conditions of partial differential equation (PDE) are changed, many potential characteristics of the equation's solutions are still similar. This provides the possibility to redu...

AntBot-EX: Enhancing robot search efficiency in complex post-disaster environments.

PloS one
In post-disaster scenarios, effective rescue operations hinge on deploying robots equipped with sophisticated path planning algorithms capable of navigating through complex and unknown environments, facilitating an exhaustive search for survivors. Th...

A Real-Time Plasma Concentration Prediction Model for Voriconazole in Elderly Patients via Machine Learning Combined with Population Pharmacokinetics.

Drug design, development and therapy
PURPOSE: Voriconazole (VCZ) is a first-line treatment for invasive fungal disease, characterized by a narrow therapeutic window and significant inter-individual variability. It is primarily metabolized by the liver, the function of which declines wit...

Enhanced intelligent train operation algorithms for metro train based on expert system and deep reinforcement learning.

PloS one
In recent decades, automatic train operation (ATO) systems have been gradually adopted by many metro systems, primarily due to their cost-effectiveness and practicality. However, a critical examination reveals computational constraints, adaptability ...

Research on autonomous obstacle avoidance of mountainous tractors based on semantic neural network and laser SLAM.

PloS one
The accuracy and consistency of obstacle avoidance map construction are poor in complex and changeable dynamic environment. In order to improve the driving safety of mountain tractors in complex mountain environment, an autonomous obstacle avoidance ...

Evaluation of landslide susceptibility based on SMOTE-Tomek sampling and machine learning algorithm.

PloS one
Landslides are frequent and hazardous geological disasters, posing significant risks to human safety and infrastructure. Accurate assessments of landslide susceptibility are crucial for risk management and mitigation. However, geological surveys of l...

Comprehensive Machine Learning-Based Prediction Model for Delirium Risk in Older Patients with Dementia: Risk Factors Identification.

Clinical interventions in aging
BACKGROUND: Delirium superimposed on dementia (DSD) is a severe complication in older adults with dementia, marked by fluctuating cognition, inattention, and altered consciousness. Detection is challenging due to symptom overlap, yet it contributes t...

IDNet: An inception-like deformable non-local network for projection compensation over non-flat textured surfaces.

PloS one
Projector compensation on non-flat, textured surfaces represents a formidable challenge in computational imaging, with conventional convolution-based methods frequently encountering critical limitations, especially in image edge regions characterized...

RRT-CS: A free-collision planner for capsule-like SCORBOT by iterated learning.

PloS one
In this study, we present an enhanced Rapidly-exploring Random Trees (RRT) algorithm integrated with a visual servoing technique for recognizing unknown environments. The robotic platform utilized is the SCORBOT-ER-VII, which consists of five links, ...