AIMC Topic: Algorithms

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Ensemble of RNN Classifiers for Activity Detection Using a Smartphone and Supporting Nodes.

Sensors (Basel, Switzerland)
Nowadays, sensor-equipped mobile devices allow us to detect basic daily activities accurately. However, the accuracy of the existing activity recognition methods decreases rapidly if the set of activities is extended and includes training routines, s...

Tissues margin-based analytical anisotropic algorithm boosting method via deep learning attention mechanism with cervical cancer.

International journal of computer assisted radiology and surgery
PURPOSE: Speed and accuracy are two critical factors in dose calculation for radiotherapy. Analytical Anisotropic Algorithm (AAA) is a rapid dose calculation algorithm but has dose errors in tissue margin area. Acuros XB (AXB) has high accuracy but t...

Evaluation of six machine learning classification algorithms in pig breed identification using SNPs array data.

Animal genetics
Breed identification utilizing multiple information sources and methods is widely applicated in the field of animal genetics and breeding. Simultaneously, with the development of artificial intelligence, the integration of high-throughput genomic dat...

Human monkeypox diagnose (HMD) strategy based on data mining and artificial intelligence techniques.

Computers in biology and medicine
In May 2022, monkeypox re-emerged as a rare zoonotic disease that is an important viral disease for public health. Monkeypox can be transmitted from animals to humans, between humans through close contact with an infected human, or with a virus stain...

Anomaly Detection Based on Time Series Data of Hydraulic Accumulator.

Sensors (Basel, Switzerland)
Although hydraulic accumulators play a vital role in the hydraulic system, they face the challenges of being broken by continuous abnormal pulsating pressure which occurs due to the malfunction of hydraulic systems. Hence, this study develops anomaly...

Multi-Target PIR Indoor Localization and Tracking System with Artificial Intelligence.

Sensors (Basel, Switzerland)
Pyroelectric infrared (PIR) sensors are low-cost, low-power, and highly reliable sensors that have been widely used in smart environments. Indoor localization systems may be wearable or non-wearable, where the latter are also known as device-free loc...

Exploring Machine Learning-Based Fault Monitoring for Polymer-Based Additive Manufacturing: Challenges and Opportunities.

Sensors (Basel, Switzerland)
Three-dimensional printing, often known as additive manufacturing (AM), is a groundbreaking technique that enables rapid prototyping. Monitoring AM delivers benefits, as monitoring print quality can prevent waste and excess material costs. Machine le...

Frame Structure Fault Diagnosis Based on a High-Precision Convolution Neural Network.

Sensors (Basel, Switzerland)
Structural health monitoring and fault diagnosis are important scientific issues in mechanical engineering, civil engineering, and other disciplines. The basic premise of structural health work is to be able to accurately diagnose the fault in the st...

GPS Spoofing Detection Method for Small UAVs Using 1D Convolution Neural Network.

Sensors (Basel, Switzerland)
The navigation of small unmanned aerial vehicles (UAVs), such as quadcopters, significantly relies on the global positioning system (GPS); however, UAVs are vulnerable to GPS spoofing attacks. GPS spoofing is an attempt to manipulate a GPS receiver b...

N-Omniglot, a large-scale neuromorphic dataset for spatio-temporal sparse few-shot learning.

Scientific data
Few-shot learning (learning with a few samples) is one of the most important cognitive abilities of the human brain. However, the current artificial intelligence systems meet difficulties in achieving this ability. Similar challenges also exist for b...