AIMC Topic: Machine Learning

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Understanding Artificial Intelligence and Predictive Analytics: A Clinically Focused Review of Machine Learning Techniques.

JBJS reviews
ยป: Machine learning and artificial intelligence have seen tremendous growth in recent years and have been applied in numerous studies in the field of orthopaedics.

Computational Intelligence Approaches in Developing Cyberattack Detection System.

Computational intelligence and neuroscience
The Internet plays a fundamental part in relentless correspondence, so its applicability can decrease the impact of intrusions. Intrusions are defined as movements that unfavorably influence the focus of a computer. Intrusions may sacrifice the reput...

Amenity counts significantly improve water consumption predictions.

PloS one
Anticipating the increase in water demand in an urban area requires us to properly understand daily human movement driven by population size, land use, and amenity types among others. Mobility data from phones can capture human movement, but not only...

An alternative to the black box: Strategy learning.

PloS one
In virtually any practical field or application, discovering and implementing near-optimal decision strategies is essential for achieving desired outcomes. Workflow planning is one of the most common and important problems of this kind, as sub-optima...

Machine Learning-Assisted Design of Material Properties.

Annual review of chemical and biomolecular engineering
Designing functional materials requires a deep search through multidimensional spaces for system parameters that yield desirable material properties. For cases where conventional parameter sweeps or trial-and-error sampling are impractical, inverse m...

Predicting chemical hazard across taxa through machine learning.

Environment international
We applied machine learning methods to predict chemical hazards focusing on fish acute toxicity across taxa. We analyzed the relevance of taxonomy and experimental setup, showing that taking them into account can lead to considerable improvements in ...

Utilization of Machine Learning for the Differentiation of Positional NPS Isomers with Direct Analysis in Real Time Mass Spectrometry.

Analytical chemistry
The differentiation of positional isomers is a well established analytical challenge for forensic laboratories. As more novel psychoactive substances (NPSs) are introduced to the illicit drug market, robust yet efficient methods of isomer identificat...

Solving Inverse Electrocardiographic Mapping Using Machine Learning and Deep Learning Frameworks.

Sensors (Basel, Switzerland)
Electrocardiographic imaging (ECGi) reconstructs electrograms at the heart's surface using the potentials recorded at the body's surface. This is called the inverse problem of electrocardiography. This study aimed to improve on the current solution m...

Research on Intelligent Warehousing and Logistics Management System of Electronic Market Based on Machine Learning.

Computational intelligence and neuroscience
This study applies the Internet of things information-aware technology to the process of electronic market warehousing and logistics management, effectively perceives warehouse electronic product logistics information, and improves the real-time perc...

Design of Fault Prediction System for Electromechanical Sensor Equipment Based on Deep Learning.

Computational intelligence and neuroscience
With the increasing complexity, scale, and intelligentization of modern equipment, the maintenance cost of equipment is increasing day by day. Moreover, once an unexpected major failure occurs, it will cause loss and damage to production, economy, an...