AIMC Topic: Algorithms

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Application of GIS Technology-Supported Cross Media Fusion Method Based on Deep Learning in Landscape Performance Evaluation.

Computational intelligence and neuroscience
GIS technology can provide reasonable and sustainable data support for landscape planning and ecological development and make wetland landscape planning consider the spatial layout of landscape and the optimal allocation of resources more. The key te...

Differentiating single cervical cells by mitochondrial fluorescence imaging and deep learning-based label-free light scattering with multi-modal static cytometry.

Cytometry. Part A : the journal of the International Society for Analytical Cytology
Cervical cancer is a high-risk disease that threatens women's health globally. In this study, we developed the multi-modal static cytometry that adopted different features to classify the typical human cervical epithelial cells (H8) and cervical canc...

A Clinical Reasoning-Encoded Case Library Developed through Natural Language Processing.

Journal of general internal medicine
IMPORTANCE: Case reports that externalize expert diagnostic reasoning are utilized for clinical reasoning instruction but are difficult to search based on symptoms, final diagnosis, or differential diagnosis construction. Computational approaches tha...

Biologically plausible single-layer networks for nonnegative independent component analysis.

Biological cybernetics
An important problem in neuroscience is to understand how brains extract relevant signals from mixtures of unknown sources, i.e., perform blind source separation. To model how the brain performs this task, we seek a biologically plausible single-laye...

Support vector machine embedding discriminative dictionary pair learning for pattern classification.

Neural networks : the official journal of the International Neural Network Society
Discriminative dictionary learning (DDL) aims to address pattern classification problems via learning dictionaries from training samples. Dictionary pair learning (DPL) based DDL has shown superiority as compared with most existing algorithms which o...

Predicting restriction of life-space mobility: a machine learning analysis of the IMIAS study.

Aging clinical and experimental research
BACKGROUND: Some studies have employed machine learning (ML) methods for mobility prediction modeling in older adults. ML methods could be a helpful tool for life-space mobility (LSM) data analysis.

Practical and Accurate Indoor Localization System Using Deep Learning.

Sensors (Basel, Switzerland)
Indoor localization is an important technology for providing various location-based services to smartphones. Among the various indoor localization technologies, pedestrian dead reckoning using inertial measurement units is a simple and highly practic...

Explainable Malware Detection System Using Transformers-Based Transfer Learning and Multi-Model Visual Representation.

Sensors (Basel, Switzerland)
Android has become the leading mobile ecosystem because of its accessibility and adaptability. It has also become the primary target of widespread malicious apps. This situation needs the immediate implementation of an effective malware detection sys...

Classification of facial paralysis based on machine learning techniques.

Biomedical engineering online
Facial paralysis (FP) is an inability to move facial muscles voluntarily, affecting daily activities. There is a need for quantitative assessment and severity level classification of FP to evaluate the condition. None of the available tools are widel...

Ways forward for Machine Learning to make useful global environmental datasets from legacy observations and measurements.

Nature communications
Advances in geospatial and Machine Learning techniques for large datasets of georeferenced observations have made it possible to produce model-based global maps of ecological and environmental variables. However, the implementation of existing scient...