AIMC Topic: Algorithms

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Enhanced pedestrian trajectory prediction via overlapping field-of-view domains and integrated Kolmogorov-Arnold networks.

PloS one
Accurate pedestrian trajectory prediction is crucial for applications such as autonomous driving and crowd surveillance. This paper proposes the OV-SKTGCNN model, an enhancement to the Social-STGCNN model, aimed at addressing its low prediction accur...

Aggregating soft labels from crowd annotations improves uncertainty estimation under distribution shift.

PloS one
Selecting an effective training signal for machine learning tasks is difficult: expert annotations are expensive, and crowd-sourced annotations may not be reliable. Recent work has demonstrated that learning from a distribution over labels acquired f...

Evaluation of data driven low-rank matrix factorization for accelerated solutions of the Vlasov equation.

PloS one
Low-rank methods have shown success in accelerating simulations of a collisionless plasma described by the Vlasov equation, but still rely on computationally costly linear algebra every time step. We propose a data-driven factorization method using a...

Software technical debt prediction based on complex software networks.

PloS one
Technical debt prediction (TDP) is crucial for the long-term maintainability of software. In the literature, many machine-learning based TDP models have been proposed; they used TD-related metrics as input features for machine-learning classifiers to...

SMART MRS: A Simulated MEGA-PRESS ARTifacts toolbox for GABA-edited MRS.

Magnetic resonance in medicine
PURPOSE: To create a Python-based toolbox to simulate commonly occurring artifacts for single voxel gamma-aminobutyric acid (GABA)-edited MRS data.

Data-Augmented Deep Learning Algorithm for Accurate Control of Bioethanol Fermentation Using an Online Raman Analyzer.

Biotechnology and bioengineering
Fed-batch fermentation has become the preferred strategy in many industrial biomanufacturing processes. However, a key challenge remains in optimizing the feeding strategy to achieve stable maximum yields. In this study, we present an online Raman sp...

Implications From the Analogous Relationship Between Evolutionary and Learning Processes.

BioEssays : news and reviews in molecular, cellular and developmental biology
Organismal evolution is a process of discovering better-fitting phenotypes through trial and error across generations. This iterative process resembles learning processes, an analogy recognized since the 1950s. Recognizing this parallel suggests that...

De-identification of medical imaging data: a comprehensive tool for ensuring patient privacy.

European radiology
OBJECTIVES: Medical imaging data employed in research frequently comprises sensitive Protected Health Information (PHI) and Personal Identifiable Information (PII), which is subject to rigorous legal frameworks such as the General Data Protection Reg...

Physics-informed neural networks for denoising high b-value diffusion-weighted images.

Computerized medical imaging and graphics : the official journal of the Computerized Medical Imaging Society
Diffusion-weighted imaging (DWI) is widely applied in tumor diagnosis by measuring the diffusion of water molecules. To increase the sensitivity to tumor identification, faithful high b-value DWI images are expected by setting a stronger strength of ...

Comparative analysis of AI algorithms on real medical data for chronic pain detection.

International journal of medical informatics
BACKGROUND AND OBJECTIVE: Chronic pain is a pervasive healthcare challenge with profound implications for patient well-being, clinical decision-making, and resource allocation. Traditional detection methods often rely on subjective assessments and ma...