AIMC Topic: Algorithms

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Link Quality Estimation for Wireless ANDON Towers Based on Deep Learning Models.

Sensors (Basel, Switzerland)
Data reliability is of paramount importance for decision-making processes in the industry, and for this, having quality links for wireless sensor networks plays a vital role. Process and machine monitoring can be carried out through ANDON towers with...

A Probability-Based Models Ranking Approach: An Alternative Method of Machine-Learning Model Performance Assessment.

Sensors (Basel, Switzerland)
Performance measures are crucial in selecting the best machine learning model for a given problem. Estimating classical model performance measures by subsampling methods like bagging or cross-validation has several weaknesses. The most important ones...

Comparison of Deep Learning and Deterministic Algorithms for Control Modeling.

Sensors (Basel, Switzerland)
Controlling nonlinear dynamics arises in various engineering fields. We present efforts to model the forced van der Pol system control using physics-informed neural networks (PINN) compared to benchmark methods, including idealized nonlinear feedforw...

Anomaly Detection in Satellite Telemetry Data Using a Sparse Feature-Based Method.

Sensors (Basel, Switzerland)
Anomaly detection based on telemetry data is a major issue in satellite health monitoring which can identify unusual or unexpected events, helping to avoid serious accidents and ensure the safety and reliability of operations. In recent years, sparse...

Cosine similarity measures between q-rung orthopair linguistic sets and their application to group decision making problems.

Scientific reports
The q-rung orthopair linguistic set (q-ROLS), a combined version of linguistic term sets and q-rung orthopair fuzzy set, is an efficient mathematical tool to accomplish the imprecise information while solving the decision-making problems. Under this ...

Modeling resilient modulus of subgrade soils using LSSVM optimized with swarm intelligence algorithms.

Scientific reports
Resilient modulus (Mr) of subgrade soils is one of the crucial inputs in pavement structural design methods. However, the spatial variability of soil properties and the nature of test protocols, the laboratory determination of Mr has become inexpedie...

Load Prediction Model of Athletes' Physical Training Competition Based on Nonlinear Algorithm Combined with Ultrasound.

Contrast media & molecular imaging
In order to provide theoretical support and ideas for the "dose" of high-stakes physical activity in athletics, the author has developed models for athletic competition based on nonlinear techniques together with ultrasound. Based on test data, avera...

Prediction of the Age and Gender Based on Human Face Images Based on Deep Learning Algorithm.

Computational and mathematical methods in medicine
In recent times, nutrition recommendation system has gained increasing attention due to their need for healthy living. Current studies on the food domain deal with a recommendation system that focuses on independent users and their health problems bu...

A Framework for Interactive Medical Image Segmentation Using Optimized Swarm Intelligence with Convolutional Neural Networks.

Computational intelligence and neuroscience
Recent improvements in current technology have had a significant impact on a wide range of image processing applications, including medical imaging. Classification, detection, and segmentation are all important aspects of medical imaging technology. ...

Enhancement of Local Crowd Location and Count: Multiscale Counting Guided by Head RGB-Mask.

Computational intelligence and neuroscience
BACKGROUND: In crowded crowd images, traditional detection models often have the problems of inaccurate multiscale target count and low recall rate.